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Cheng Y, Zhang C, Li Q, Yang X, Chen W, He K, Chen M. MTF1 genetic variants are associated with lung cancer risk in the Chinese Han population. BMC Cancer 2024; 24:778. [PMID: 38943058 PMCID: PMC11212402 DOI: 10.1186/s12885-024-12516-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 06/13/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Metal-regulatory transcription factor 1 (MTF1), a conserved metal-binding transcription factor in eukaryotes, regulates the proliferation of cancer cells by activating downstream target genes and then participates in the formation and progression of tumors, including lung cancer (LC). The expression level of MTF1 is down-regulated in LC, and high expression of MTF1 is associated with a good prognosis of LC. However, the association between MTF1 polymorphism and LC risk has not been explored. METHODS The genotyping of MTF1 Single nucleotide polymorphisms (SNPs) including rs473279, rs28411034, rs28411352, and rs3748682 was identified by the Agena MassARRAY system among 670 healthy controls and 670 patients with LC. The odds ratio (OR) and 95% confidence intervals (CI) were calculated by logistics regression to assess the association of these SNPs with LC risk. RESULTS MTF1 rs28411034 (OR 1.22, 95% CI 1.03-1.45, p = 0.024) and rs3748682 (OR 1.24, 95% CI 1.04-1.47, p = 0.014) were associated with higher LC susceptibility overall. Moreover, the effect of rs28411034 and rs3748682 on LC susceptibility was observed in males, subjects with body mass index (BMI) ≥ 24 kg/m2, smokers, drinkers, and patients with lung squamous carcinoma (OR and 95% CI > 1, p < 0.05). Besides, rs28411352 (OR 0.73, 95% CI 0.55-0.97, p = 0.028,) showed protective effect for reduced LC risk in drinkers. CONCLUSIONS We were first who reported that rs28411034 and rs3748682 tended to be relevant to increased LC susceptibility among the Chinese Han population. These results of this study could help to recognize the pathogenic mechanisms of the MTF1 gene in LC progress.
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Affiliation(s)
- Yujing Cheng
- Department of Respiratory Medicine, The First Affiliated Hospital of School of Medicine of Xi'an Jiaotong University, Yanta District, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, The Afiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China
| | - Chan Zhang
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, The Afiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China
| | - Qi Li
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, The Afiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China
| | - Xin Yang
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, The Afiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China
| | - Wanlu Chen
- Department of Blood Transfusion, The First People's Hospital of Yunnan Province, The Afiliated Hospital of Kunming University of Science and Technology, Kunming, 650032, Yunnan, China
| | - KunHua He
- Department of Blood Transfusion, The First People's Hospital of Qujing City, Qujing, 655099, Yunnan, China
| | - Mingwei Chen
- Department of Respiratory Medicine, The First Affiliated Hospital of School of Medicine of Xi'an Jiaotong University, Yanta District, No. 277, Yanta West Road, Xi'an, 710061, Shaanxi, China.
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2
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Garcia-Marquez MA, Thelen M, Bauer E, Maas L, Wennhold K, Lehmann J, Keller D, Nikolić M, George J, Zander T, Schröder W, Müller P, Yazbeck AM, Bruns C, Thomas R, Gathof B, Quaas A, Peifer M, Hillmer AM, von Bergwelt-Baildon M, Schlößer HA. Germline homozygosity and allelic imbalance of HLA-I are common in esophagogastric adenocarcinoma and impair the repertoire of immunogenic peptides. J Immunother Cancer 2024; 12:e007268. [PMID: 38631707 PMCID: PMC11029431 DOI: 10.1136/jitc-2023-007268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND The individual HLA-I genotype is associated with cancer, autoimmune diseases and infections. This study elucidates the role of germline homozygosity or allelic imbalance of HLA-I loci in esophago-gastric adenocarcinoma (EGA) and determines the resulting repertoires of potentially immunogenic peptides. METHODS HLA genotypes and sequences of either (1) 10 relevant tumor-associated antigens (TAAs) or (2) patient-specific mutation-associated neoantigens (MANAs) were used to predict good-affinity binders using an in silico approach for MHC-binding (www.iedb.org). Imbalanced or lost expression of HLA-I-A/B/C alleles was analyzed by transcriptome sequencing. FluoroSpot assays and TCR sequencing were used to determine peptide-specific T-cell responses. RESULTS We show that germline homozygosity of HLA-I genes is significantly enriched in EGA patients (n=80) compared with an HLA-matched reference cohort (n=7605). Whereas the overall mutational burden is similar, the repertoire of potentially immunogenic peptides derived from TAAs and MANAs was lower in homozygous patients. Promiscuity of peptides binding to different HLA-I molecules was low for most TAAs and MANAs and in silico modeling of the homozygous to a heterozygous HLA genotype revealed normalized peptide repertoires. Transcriptome sequencing showed imbalanced expression of HLA-I alleles in 75% of heterozygous patients. Out of these, 33% showed complete loss of heterozygosity, whereas 66% had altered expression of only one or two HLA-I molecules. In a FluoroSpot assay, we determined that peptide-specific T-cell responses against NY-ESO-1 are derived from multiple peptides, which often exclusively bind only one HLA-I allele. CONCLUSION The high frequency of germline homozygosity in EGA patients suggests reduced cancer immunosurveillance leading to an increased cancer risk. Therapeutic targeting of allelic imbalance of HLA-I molecules should be considered in EGA.
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Affiliation(s)
- Maria Alejandra Garcia-Marquez
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Martin Thelen
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Eugen Bauer
- Institute of Transfusion Medicine, University of Cologne, Cologne, Germany
| | - Lukas Maas
- Department of Translational Genomics, University of Cologne, Cologne, Germany
| | - Kerstin Wennhold
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Jonas Lehmann
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Diandra Keller
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Miloš Nikolić
- Department of Translational Genomics, University of Cologne, Cologne, Germany
| | - Julie George
- Department of Translational Genomics, University of Cologne, Cologne, Germany
- Department of Otorhinolaryngology Head and Neck Surgery, University Hospital Cologne, Cologne, Germany
| | - Thomas Zander
- Department I of Internal Medicine and Center for Integrated Oncology (CIO) Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | - Wolfgang Schröder
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Philipp Müller
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Institute of Pathology, University of Cologne, Cologne, Germany
| | - Ali M Yazbeck
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Institute of Pathology, University of Cologne, Cologne, Germany
| | - Christiane Bruns
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
| | - Roman Thomas
- Department of Translational Genomics, University of Cologne, Cologne, Germany
- Institute of Pathology, University of Cologne, Cologne, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Birgit Gathof
- Institute of Transfusion Medicine, University of Cologne, Cologne, Germany
| | - Alexander Quaas
- Institute of Pathology, University of Cologne, Cologne, Germany
| | - Martin Peifer
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of Translational Genomics, University of Cologne, Cologne, Germany
| | - Axel M Hillmer
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Institute of Pathology, University of Cologne, Cologne, Germany
| | - Michael von Bergwelt-Baildon
- German Cancer Consortium (DKTK), Heidelberg, Germany
- Gene Centre, Ludwig Maximilians University Munich, Munchen, Germany
- Department of Medicine III, Ludwig Maximilians University Munich, Munchen, Germany
| | - Hans Anton Schlößer
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University of Cologne, Cologne, Germany
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3
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Ciofiac CM, Mămuleanu M, Florescu LM, Gheonea IA. CT Imaging Patterns in Major Histological Types of Lung Cancer. Life (Basel) 2024; 14:462. [PMID: 38672733 PMCID: PMC11051469 DOI: 10.3390/life14040462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 03/23/2024] [Accepted: 03/30/2024] [Indexed: 04/28/2024] Open
Abstract
Lung cancer ranks as the second most prevalent cancer globally and is the primary contributor to neoplastic-related deaths. The approach to its treatment relies on both tumour staging and histological type determination. Data indicate that the prognosis of lung cancer is strongly linked to its clinical stage, underscoring the importance of early diagnosis in enhancing patient outcomes. Consequently, the choice of an appropriate diagnostic method holds significant importance in elevating both the early detection rate and prognosis of lung cancer. This paper aims to assess computer tomography features specific to the most common lung cancer types (adenocarcinoma, squamous cell carcinomas and small cell lung cancer). Data were collected retrospectively from CT scans of 58 patients pathologically diagnosed with lung cancer. The following CT features were evaluated and recorded for each case: location, margins, structure, lymph node involvement, cavitation, vascular bundle-thickening, bronchial obstruction, and pleural involvement. Squamous cell carcinoma (SQCC) and small cell lung cancer (SCLC) showed a higher incidence of central location, while adenocarcinoma (ADC) showed a significant predilection for a peripheral location. Internal cavitation was mostly observed in SQCC, and a solid structure was observed in almost all cases of ADC. These features can provide information about the prognosis of the patient, considering that NSCLCs are more frequent but tend to demonstrate positive results for targetable driver mutations, such as EGFR, thereby increasing the overall survival. In addition, SCLC presents with early distant spreads, which limits the opportunity to investigate the evolution of tumorigenesis and gene alterations at early stages but can have a rapidly positively response to chemotherapy. The location of the lung cancer exhibits distinct forecasts, with several studies suggesting that peripheral lung tumours offer a more favourable prognosis. Cavity formation appears correlate with a poorer prognosis. Histopathological analysis is the gold standard for diagnosing the type of lung cancer; however, using CT scanning for the purpose of a rough, but fast, preliminary diagnosis has the potential to shorten the waiting time for treatment by helping clinicians and patients to know more about the diagnosis and prognosis.
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Affiliation(s)
| | - Mădălin Mămuleanu
- Department of Automatic Control and Electronics, University of Craiova, 200585 Craiova, Romania
| | - Lucian Mihai Florescu
- Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (L.M.F.); (I.A.G.)
| | - Ioana Andreea Gheonea
- Department of Radiology and Medical Imaging, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania; (L.M.F.); (I.A.G.)
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4
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Wang SS. Epidemiology and etiology of diffuse large B-cell lymphoma. Semin Hematol 2023; 60:255-266. [PMID: 38242772 PMCID: PMC10962251 DOI: 10.1053/j.seminhematol.2023.11.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 11/21/2023] [Indexed: 01/21/2024]
Abstract
As the most common non-Hodgkin lymphoma subtype, diffuse large B-cell lymphoma (DLBCL) incidence patterns generally parallel that for NHL overall. Globally, DLBCL accounts for a third of all NHLs, ranging between 20% and 50% by country. Based on United States (U.S.) cancer registry data, age-standardized incidence rate for DLBCL was 7.2 per 100,000. DLBCL incidence rises with age and is generally higher in males than females; in the U.S., incidence is highest among non-Hispanic whites (9.2/100,000). Like NHL incidence, DLBCL incidence rose in the first half of the 20th century but has largely plateaued. However, there is some evidence that incidence rates are rising in areas of historically low rates, such as Asia; there are also estimates for rising DLBCL incidence in the near future due to the changing demographics in developed countries whose aging population is growing. Established risk factors for DLBCL include those that result in severe immune deficiency such as HIV/AIDS, inherited immunodeficiency syndromes, and organ transplant recipients. Factors that lead to chronic immune dysregulations are also established risk factors, and include a number of autoimmune conditions (eg, Sjögren syndrome, systemic lupus erythematosus, rheumatoid arthritis), viral infections (eg, HIV, KSHV/HHV8, HCV, EBV), and obesity. Family history of NHL/DLBCL, personal history of cancer, and multiple genetic susceptibility loci are also well-established risk factors for DLBCL. There is strong evidence for multiple environmental exposures in DLBCL etiology, including exposure to trichloroethylene, benzene, and pesticides and herbicides, with recent associations noted with glyphosate. There is also strong evidence for associations with other viruses, such as HBV. Recent estimates suggest that obesity accounts for nearly a quarter of DLBCLs that develop, but despite recent gains in the understanding of DLBCL etiology, the majority of disease remain unexplained. An understanding of the host and environmental contributions to disease etiology, and concerted efforts to expand our understanding to multiple race/ethnic groups, will be essential for constructing clinically relevant risk prediction models and develop effective strategies for disease prevention.
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Affiliation(s)
- Sophia S Wang
- City of Hope Comprehensive Cancer Center, Duarte, CA.
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5
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Chen WC, Brandenburg JT, Choudhury A, Hayat M, Sengupta D, Swiel Y, Babb de Villiers C, Ferndale L, Aldous C, Soo CC, Lee S, Curtis C, Newton R, Waterboer T, Sitas F, Bradshaw D, Abnet CC, Ramsay M, Parker MI, Singh E, Lewis CM, Mathew CG. Genome-wide association study of esophageal squamous cell cancer identifies shared and distinct risk variants in African and Chinese populations. Am J Hum Genet 2023; 110:1690-1703. [PMID: 37673066 PMCID: PMC10577073 DOI: 10.1016/j.ajhg.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 08/11/2023] [Accepted: 08/11/2023] [Indexed: 09/08/2023] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) has a high disease burden in sub-Saharan Africa and has a very poor prognosis. Genome-wide association studies (GWASs) of ESCC in predominantly East Asian populations indicate a substantial genetic contribution to its etiology, but no genome-wide studies have been done in populations of African ancestry. Here, we report a GWAS in 1,686 African individuals with ESCC and 3,217 population-matched control individuals to investigate its genetic etiology. We identified a genome-wide-significant risk locus on chromosome 9 upstream of FAM120A (rs12379660, p = 4.58 × 10-8, odds ratio = 1.28, 95% confidence interval = 1.22-1.34), as well as a potential African-specific risk locus on chromosome 2 (rs142741123, p = 5.49 × 10-8) within MYO1B. FAM120A is a component of oxidative stress-induced survival signals, and the associated variants at the FAM120A locus co-localized with highly significant cis-eQTLs in FAM120AOS in both esophageal mucosa and esophageal muscularis tissue. A trans-ethnic meta-analysis was then performed with the African ESCC study and a Chinese ESCC study in a combined total of 3,699 ESCC-affected individuals and 5,918 control individuals, which identified three genome-wide-significant loci on chromosome 9 at FAM120A (rs12379660, pmeta = 9.36 × 10-10), chromosome 10 at PLCE1 (rs7099485, pmeta = 1.48 × 10-8), and chromosome 22 at CHEK2 (rs1033667, pmeta = 1.47 × 10-9). This indicates the existence of both shared and distinct genetic risk loci for ESCC in African and Asian populations. Our GWAS of ESCC conducted in a population of African ancestry indicates a substantial genetic contribution to ESCC risk in Africa.
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Affiliation(s)
- Wenlong Carl Chen
- National Cancer Registry, National Health Laboratory Service, Johannesburg 2131, South Africa; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa; Strengthening Oncology Services Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa; Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa
| | - Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Mahtaab Hayat
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa; Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa
| | - Dhriti Sengupta
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Yaniv Swiel
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa; School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg 2000, South Africa
| | - Chantal Babb de Villiers
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa
| | - Lucien Ferndale
- Department of Surgery, Grey's Hospital, Pietermaritzburg 3200, South Africa; College of Health Sciences, School of Clinical Medicine, University of KwaZulu-Natal, Durban 4013, South Africa
| | - Colleen Aldous
- College of Health Sciences, School of Clinical Medicine, University of KwaZulu-Natal, Durban 4013, South Africa
| | - Cassandra C Soo
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Sang Lee
- Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF London, UK; NIHR BioResource Centre Maudsley, South London and Maudsley NHS Foundation Trust, King's College London, SE5 8AF London, UK
| | - Charles Curtis
- Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF London, UK; NIHR BioResource Centre Maudsley, South London and Maudsley NHS Foundation Trust, King's College London, SE5 8AF London, UK
| | - Rob Newton
- MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda; University of York, YO10 5DD York, UK
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Freddy Sitas
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town 7505, South Africa; Centre for Primary Health Care and Equity, School of Population, University of New South Wales, Sydney, NSW 2052, Australia; Menzies Centre of Health Policy, School of Public Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Debbie Bradshaw
- Burden of Disease Research Unit, South African Medical Research Council, Cape Town 7505, South Africa
| | - Christian C Abnet
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20892, USA
| | - Michele Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - M Iqbal Parker
- Division of Medical Biochemistry and Institute of Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa
| | - Elvira Singh
- National Cancer Registry, National Health Laboratory Service, Johannesburg 2131, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Cathryn M Lewis
- Social, Genetic and Development Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, SE5 8AF London, UK; Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, SE1 9RT London, UK
| | - Christopher G Mathew
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa; Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2000, South Africa; Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, SE1 9RT London, UK.
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Abstract
Since the publication of the first genome-wide association study for cancer in 2007, thousands of common alleles that are associated with the risk of cancer have been identified. The relative risk associated with individual variants is small and of limited clinical significance. However, the combined effect of multiple risk variants as captured by polygenic scores (PGSs) may be much greater and therefore provide risk discrimination that is clinically useful. We review the considerable research efforts over the past 15 years for developing statistical methods for PGSs and their application in large-scale genome-wide association studies to develop PGSs for various cancers. We review the predictive performance of these PGSs and the multiple challenges currently limiting the clinical application of PGSs. Despite this, PGSs are beginning to be incorporated into clinical multifactorial risk prediction models to stratify risk in both clinical trials and clinical implementation studies.
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Affiliation(s)
- Xin Yang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Siddhartha Kar
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Early Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Paul D P Pharoah
- Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
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7
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Broccia G, Carter J, Ozsin-Ozler C, De Matteis S, Cocco P. Epidemiology of Chronic Lymphocytic Leukemia in Sardinia, Italy (1974-2003). Exp Hematol 2023; 125-126:37-44. [PMID: 37567460 DOI: 10.1016/j.exphem.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/06/2023] [Accepted: 08/07/2023] [Indexed: 08/13/2023]
Abstract
Several reports have described a worldwide increasing incidence of chronic lymphocytic leukemia (CLL) dating back seven to eight decades. Although genetic susceptibility would be an implausible explanation, the determinants of this upward trend and its spatial coordinates are poorly understood. We explored CLL incidence in Sardinia, Italy, using a validated database including the 1700 CLL cases diagnosed during 1974-2003. We applied Bayesian methods to map the CLL probability by administrative unit and Poisson regression analysis to investigate socioeconomic and environmental determinants adjusting by possible confounders. The standardized (Standard European population) incidence rate for the Sardinian population over the study period was 5.1 per 100,000 (95% confidence interval [CI] 4.9-5.3), increased annually by 5.8% (95% CI 5.7-6.0) consistently by sex and age, and was more noticeable in urban areas. Five administrative units exceeded the 95% posterior probability of an elevated CLL incidence: these were rural areas spread over the regional territory, not suggestive of spatial clustering. The Poisson regression analysis showed that the risk was elevated in urban areas (RR = 1.11, 95% CI 1.05-1.17), among residents ≥ 30 km from the nearest hospital (RR = 1.09, 95% CI 1.06-1.12), and with the local prevalence of cork harvesting (RR = 1.62, 95% CI 1.12-2.34). Our results suggest that better access to health care facilities and improvements in diagnostic efficacy might have generated the observed upward trend in CLL incidence, along with contributing environmental factors.
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Affiliation(s)
- Giorgio Broccia
- Department of Haematology and Bone Marrow Transplants, Hospital A. Businco, Cagliari, Sardinia, Italy
| | | | - Cansu Ozsin-Ozler
- Department of Paediatric Dentistry, Faculty of Dentistry, Hacettepe University, Ankara, Turkey
| | - Sara De Matteis
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Public Health, Health Services Research & Primary Care, University of Manchester, Manchester, UK.
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8
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Darst BF, Shen J, Madduri RK, Rodriguez AA, Xiao Y, Sheng X, Saunders EJ, Dadaev T, Brook MN, Hoffmann TJ, Muir K, Wan P, Le Marchand L, Wilkens L, Wang Y, Schleutker J, MacInnis RJ, Cybulski C, Neal DE, Nordestgaard BG, Nielsen SF, Batra J, Clements JA, Cancer BioResource AP, Grönberg H, Pashayan N, Travis RC, Park JY, Albanes D, Weinstein S, Mucci LA, Hunter DJ, Penney KL, Tangen CM, Hamilton RJ, Parent MÉ, Stanford JL, Koutros S, Wolk A, Sørensen KD, Blot WJ, Yeboah ED, Mensah JE, Lu YJ, Schaid DJ, Thibodeau SN, West CM, Maier C, Kibel AS, Cancel-Tassin G, Menegaux F, John EM, Grindedal EM, Khaw KT, Ingles SA, Vega A, Rosenstein BS, Teixeira MR, Kogevinas M, Cannon-Albright L, Huff C, Multigner L, Kaneva R, Leach RJ, Brenner H, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Neuhausen SL, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, De Ruyck K, Xu J, Razack A, Teo SH, Newcomb LF, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Castelao JE, Townsend PA, Crawford DC, Petrovics G, Casey G, Roobol MJ, Hu JF, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F, Witte JS, Eeles RA, Kote-Jarai Z, Watya S, Gaziano JM, Justice AC, Conti DV, Haiman CA. Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry. Am J Hum Genet 2023; 110:1200-1206. [PMID: 37311464 PMCID: PMC10357473 DOI: 10.1016/j.ajhg.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 06/15/2023] Open
Abstract
Genome-wide polygenic risk scores (GW-PRSs) have been reported to have better predictive ability than PRSs based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer-risk variants from multi-ancestry GWASs and fine-mapping studies (PRS269). GW-PRS models were trained with a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls that we previously used to develop the multi-ancestry PRS269. Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI = 0.635-0.677) in African and 0.844 (95% CI = 0.840-0.848) in European ancestry men and corresponding prostate cancer ORs of 1.83 (95% CI = 1.67-2.00) and 2.19 (95% CI = 2.14-2.25), respectively, for each SD unit increase in the GW-PRS. Compared to the GW-PRS, in African and European ancestry men, the PRS269 had larger or similar AUCs (AUC = 0.679, 95% CI = 0.659-0.700 and AUC = 0.845, 95% CI = 0.841-0.849, respectively) and comparable prostate cancer ORs (OR = 2.05, 95% CI = 1.87-2.26 and OR = 2.21, 95% CI = 2.16-2.26, respectively). Findings were similar in the validation studies. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the PRS269 developed from multi-ancestry GWASs and fine-mapping.
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Affiliation(s)
- Burcu F Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
| | - Jiayi Shen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yukai Xiao
- Argonne National Laboratory, Lemont, IL, USA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Peggy Wan
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - David E Neal
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK; University of Cambridge, Department of Oncology, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Sune F Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia; Translational Research Institute, Brisbane, QLD, Australia
| | - Judith A Clements
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia; Translational Research Institute, Brisbane, QLD, Australia
| | - Australian Prostate Cancer BioResource
- Translational Research Institute, Brisbane, QLD, Australia; Australian Prostate Cancer Research Centre-Qld, Queensland University of Technology, Brisbane, QLD, Australia; Prostate Cancer Research Program, Monash University, Melbourne, VIC, Australia; Dame Roma Mitchell Cancer Centre, University of Adelaide, Adelaide, SA, Australia; Chris O'Brien Lifehouse and The Kinghorn Cancer Centre, Sydney, NSW, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Nora Pashayan
- University College London, Department of Applied Health Research, London, UK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - David J Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn L Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Robert J Hamilton
- Department of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, ON, Canada; Department of Surgery (Urology), University of Toronto, Toronto, ON, Canada
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Laval, QC, Canada; Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Karina D Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus N, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; International Epidemiology Institute, Rockville, MD, USA
| | - Edward D Yeboah
- University of Ghana Medical School, Accra, Ghana; Korle Bu Teaching Hospital, Accra, Ghana
| | - James E Mensah
- University of Ghana Medical School, Accra, Ghana; Korle Bu Teaching Hospital, Accra, Ghana
| | - Yong-Jie Lu
- Centre for Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | - Daniel J Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Stephen N Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Catharine M West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, UK
| | | | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Géraldine Cancel-Tassin
- CeRePP, Tenon Hospital, Paris, France; Sorbonne Universite, GRC 5 Predictive Onco-urology, Tenon Hospital, Paris, France
| | - Florence Menegaux
- "Exposome and Heredity", CESP (UMR 1018), Faculté de Médecine, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France
| | - Esther M John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Kay-Tee Khaw
- Clinical Gerontology Unit, University of Cambridge, Cambridge, UK
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago De Compostela, Spain; Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain; Centro de Investigación en Red de Enfermedades Raras (CIBERER), Madrid, Spain
| | - Barry S Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute of Porto (IPO-Porto), Porto, Portugal; Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lisa Cannon-Albright
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Chad Huff
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Luc Multigner
- University Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Robin J Leach
- Department of Urology, Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Ann W Hsing
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Rick A Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope, Duarte, CA, USA
| | - Adam B Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Christopher J Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - William B Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Anselm J Hennis
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA; Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hardev Pandha
- Faculty of Health and Medical Sciences, The University of Surrey, Guildford, Surrey, UK
| | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Gent, Belgium
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia (CRM), Outpatient Centre, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | - Lisa F Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Urology, University of Washington, Seattle, WA, USA
| | - Jay H Fowke
- Division of Epidemiology, Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Benjamin A Rybicki
- Department of Public Health Sciences, Henry Ford Hospital, Detroit, MI, USA
| | - Marija Gamulin
- Department of Oncology, University Hospital Centre Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Nawaid Usmani
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada; Division of Radiation Oncology, Cross Cancer Institute, Edmonton, AB, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, Santiago de Compostela, Spain; University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), Vigo (Pontevedra), Spain
| | - Paul A Townsend
- Division of Cancer Sciences, Manchester Cancer Research Centre, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Health Innovation Manchester, University of Manchester, Manchester, UK; The University of Surrey, Guildford, Surrey, UK
| | - Dana C Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, OH, USA
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Uniformed Services University, Bethesda, MD, USA
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Monique J Roobol
- 109 Department of Urology, Erasmus University Medical Center, Cancer Institute, Rotterdam, the Netherlands
| | - Jennifer F Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente, Northern California, Oakland, CA, USA; Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael B Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - John S Witte
- Department of Epidemiology and Population Health, Department of Biomedical Data Science, Stanford Cancer Institute, Stanford, CA, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, Sutton, London, UK; Royal Marsden NHS Foundation Trust, London, UK
| | | | - Stephen Watya
- School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda
| | - John M Gaziano
- VA Boston Healthcare System, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Amy C Justice
- VA Connecticut Healthcare System, West Haven, CT, USA; Yale School of Medicine, New Haven, CT, USA
| | - David V Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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9
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Koutros S, Kiemeney LA, Pal Choudhury P, Milne RL, Lopez de Maturana E, Ye Y, Joseph V, Florez-Vargas O, Dyrskjøt L, Figueroa J, Dutta D, Giles GG, Hildebrandt MAT, Offit K, Kogevinas M, Weiderpass E, McCullough ML, Freedman ND, Albanes D, Kooperberg C, Cortessis VK, Karagas MR, Johnson A, Schwenn MR, Baris D, Furberg H, Bajorin DF, Cussenot O, Cancel-Tassin G, Benhamou S, Kraft P, Porru S, Carta A, Bishop T, Southey MC, Matullo G, Fletcher T, Kumar R, Taylor JA, Lamy P, Prip F, Kalisz M, Weinstein SJ, Hengstler JG, Selinski S, Harland M, Teo M, Kiltie AE, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Schned A, Lenz P, Riboli E, Brennan P, Tjønneland A, Otto T, Ovsiannikov D, Volkert F, Vermeulen SH, Aben KK, Galesloot TE, Turman C, De Vivo I, Giovannucci E, Hunter DJ, Hohensee C, Hunt R, Patel AV, Huang WY, Thorleifsson G, Gago-Dominguez M, Amiano P, Golka K, Stern MC, Yan W, Liu J, Li SA, Katta S, Hutchinson A, Hicks B, Wheeler WA, Purdue MP, McGlynn KA, Kitahara CM, Haiman CA, Greene MH, Rafnar T, Chatterjee N, Chanock SJ, Wu X, Real FX, Silverman DT, Garcia-Closas M, Stefansson K, Prokunina-Olsson L, Malats N, Rothman N. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights. Eur Urol 2023; 84:127-137. [PMID: 37210288 PMCID: PMC10330197 DOI: 10.1016/j.eururo.2023.04.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/16/2023] [Accepted: 04/19/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10-8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer. PATIENT SUMMARY We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.
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Affiliation(s)
- Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Lambertus A Kiemeney
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Parichoy Pal Choudhury
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; American Cancer Society, Atlanta, GA, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Evangelina Lopez de Maturana
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | | | - Vijai Joseph
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Oscar Florez-Vargas
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lars Dyrskjøt
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jonine Figueroa
- Usher Institute, University of Edinburgh, Edinburgh, UK; Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Diptavo Dutta
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | | | - Kenneth Offit
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Victoria K Cortessis
- Department of Population and Public Health Sciences, Epidemiology and Genetics, University of Southern California, Los Angeles, CA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | | | | | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Helena Furberg
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dean F Bajorin
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Olivier Cussenot
- Centre de Recherche sur les Pathologies Prostatiques et Urologiques, Paris, France
| | - Geraldine Cancel-Tassin
- Centre de Recherche sur les Pathologies Prostatiques et Urologiques, Paris, France; GRC 5 Predictive Onco-Urology, Sorbonne University, Paris, France
| | - Simone Benhamou
- INSERM U1018, Research Centre on Epidemiology and Population Health, Villejuif, France
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stefano Porru
- Department of Diagnostics and Public Health, Section of Occupational Medicine, University of Verona, Verona, Italy
| | - Angela Carta
- Department of Diagnostics and Public Health, Section of Occupational Medicine, University of Verona, Verona, Italy
| | - Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, Australia
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Tony Fletcher
- London School of Hygiene and Tropical Medicine, London, UK
| | - Rajiv Kumar
- Division of Functional Genome Analysis, German Cancer Research Center, Heidelberg, Germany
| | - Jack A Taylor
- Epidemiology Branch and Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Philippe Lamy
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Frederik Prip
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Mark Kalisz
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jan G Hengstler
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Silvia Selinski
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Mark Harland
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Mark Teo
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Anne E Kiltie
- Rowett Institute, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Adonina Tardón
- Department of Preventive Medicine, Universidad de Oviedo, ISPA and CIBERESP, Spain
| | - Consol Serra
- Center for Research in Occupational Health, Universitat Pompeu Fabra, Hospital del Mar Medical Research Institut, CIBERESP, Barcelona, Spain
| | - Alfredo Carrato
- Department of Medicine, Alcalá University, IRYCIS, CIBERONC, Madrid, Spain
| | | | - Josep Lloreta
- Hospital del Mar, Universitat Pompeu Fabra, Barcelona, Spain
| | - Alan Schned
- Department of Pathology, Dartmouth Medical School, Hanover, NH, USA
| | - Petra Lenz
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | | | - Thomas Otto
- Department of Urology, Rheinland Klinikum, Lukaskrankenhaus, Neuss, Germany
| | | | - Frank Volkert
- Department of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Lutherstadt Wittenberg, Germany
| | - Sita H Vermeulen
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katja K Aben
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Chancellor Hohensee
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Rebecca Hunt
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Alpa V Patel
- Population Science, American Cancer Society, Atlanta, GA, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Servicio Galego de Saude, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Klaus Golka
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Wusheng Yan
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Shengchao Alfred Li
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Shilpa Katta
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Katherine A McGlynn
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Stephen J Chanock
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xifeng Wu
- Zhejiang University, Hangzhou, China
| | - Francisco X Real
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain; Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Barcelona, Spain
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Montserrat Garcia-Closas
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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10
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Sato G, Shirai Y, Namba S, Edahiro R, Sonehara K, Hata T, Uemura M, Matsuda K, Doki Y, Eguchi H, Okada Y. Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis. Nat Commun 2023; 14:3671. [PMID: 37340002 DOI: 10.1038/s41467-023-39136-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 05/31/2023] [Indexed: 06/22/2023] Open
Abstract
Integrating genomic data of multiple cancers allows de novo cancer grouping and elucidating the shared genetic basis across cancers. Here, we conduct the pan-cancer and cross-population genome-wide association study (GWAS) meta-analysis and replication studies on 13 cancers including 250,015 East Asians (Biobank Japan) and 377,441 Europeans (UK Biobank). We identify ten cancer risk variants including five pleiotropic associations (e.g., rs2076295 at DSP on 6p24 associated with lung cancer and rs2525548 at TRIM4 on 7q22 nominally associated with six cancers). Quantifying shared heritability among the cancers detects positive genetic correlations between breast and prostate cancer across populations. Common genetic components increase the statistical power, and the large-scale meta-analysis of 277,896 breast/prostate cancer cases and 901,858 controls identifies 91 newly genome-wide significant loci. Enrichment analysis of pathways and cell types reveals shared genetic backgrounds across said cancers. Focusing on genetically correlated cancers can contribute to enhancing our insights into carcinogenesis.
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Affiliation(s)
- Go Sato
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuya Shirai
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Ryuya Edahiro
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Tsuyoshi Hata
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Mamoru Uemura
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Tokyo, Japan
| | - Yuichiro Doki
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hidetoshi Eguchi
- Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan.
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
- Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan.
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11
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Darst BF, Shen J, Madduri RK, Rodriguez AA, Xiao Y, Sheng X, Saunders EJ, Dadaev T, Brook MN, Hoffmann TJ, Muir K, Wan P, Le Marchand L, Wilkens L, Wang Y, Schleutker J, MacInnis RJ, Cybulski C, Neal DE, Nordestgaard BG, Nielsen SF, Batra J, Clements JA, Grönberg H, Pashayan N, Travis RC, Park JY, Albanes D, Weinstein S, Mucci LA, Hunter DJ, Penney KL, Tangen CM, Hamilton RJ, Parent MÉ, Stanford JL, Koutros S, Wolk A, Sørensen KD, Blot WJ, Yeboah ED, Mensah JE, Lu YJ, Schaid DJ, Thibodeau SN, West CM, Maier C, Kibel AS, Cancel-Tassin G, Menegaux F, John EM, Grindedal EM, Khaw KT, Ingles SA, Vega A, Rosenstein BS, Teixeira MR, Kogevinas M, Cannon-Albright L, Huff C, Multigner L, Kaneva R, Leach RJ, Brenner H, Hsing AW, Kittles RA, Murphy AB, Logothetis CJ, Neuhausen SL, Isaacs WB, Nemesure B, Hennis AJ, Carpten J, Pandha H, De Ruyck K, Xu J, Razack A, Teo SH, Newcomb LF, Fowke JH, Neslund-Dudas C, Rybicki BA, Gamulin M, Usmani N, Claessens F, GagoDominguez M, Castelao JE, Townsend PA, Crawford DC, Petrovics G, Casey G, Roobol MJ, Hu JF, Berndt SI, Van Den Eeden SK, Easton DF, Chanock SJ, Cook MB, Wiklund F, Witte JS, Eeles RA, Kote-Jarai Z, Watya S, Gaziano JM, Justice AC, Conti DV, Haiman CA. Evaluating Approaches for Constructing Polygenic Risk Scores for Prostate Cancer in Men of African and European Ancestry. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.12.23289860. [PMID: 37292833 PMCID: PMC10246022 DOI: 10.1101/2023.05.12.23289860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Genome-wide polygenic risk scores (GW-PRS) have been reported to have better predictive ability than PRS based on genome-wide significance thresholds across numerous traits. We compared the predictive ability of several GW-PRS approaches to a recently developed PRS of 269 established prostate cancer risk variants from multi-ancestry GWAS and fine-mapping studies (PRS 269 ). GW-PRS models were trained using a large and diverse prostate cancer GWAS of 107,247 cases and 127,006 controls used to develop the multi-ancestry PRS 269 . Resulting models were independently tested in 1,586 cases and 1,047 controls of African ancestry from the California/Uganda Study and 8,046 cases and 191,825 controls of European ancestry from the UK Biobank and further validated in 13,643 cases and 210,214 controls of European ancestry and 6,353 cases and 53,362 controls of African ancestry from the Million Veteran Program. In the testing data, the best performing GW-PRS approach had AUCs of 0.656 (95% CI=0.635-0.677) in African and 0.844 (95% CI=0.840-0.848) in European ancestry men and corresponding prostate cancer OR of 1.83 (95% CI=1.67-2.00) and 2.19 (95% CI=2.14-2.25), respectively, for each SD unit increase in the GW-PRS. However, compared to the GW-PRS, in African and European ancestry men, the PRS 269 had larger or similar AUCs (AUC=0.679, 95% CI=0.659-0.700 and AUC=0.845, 95% CI=0.841-0.849, respectively) and comparable prostate cancer OR (OR=2.05, 95% CI=1.87-2.26 and OR=2.21, 95% CI=2.16-2.26, respectively). Findings were similar in the validation data. This investigation suggests that current GW-PRS approaches may not improve the ability to predict prostate cancer risk compared to the multi-ancestry PRS 269 constructed with fine-mapping.
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Affiliation(s)
- Burcu F. Darst
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jiayi Shen
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Yukai Xiao
- Argonne National Laboratory, Lemont, IL, USA
| | - Xin Sheng
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | | | - Thomas J. Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Peggy Wan
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Lynne Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Ying Wang
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Robert J. MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
| | - David E. Neal
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK
- University of Cambridge, Department of Oncology, Addenbrooke’s Hospital, Cambridge, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge UK
| | - Børge G. Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Sune F. Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Copenhagen, Denmark
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | - Judith A. Clements
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Translational Research Institute, Brisbane, Queensland, Australia
| | - Australian Prostate Cancer BioResource
- Translational Research Institute, Brisbane, Queensland, Australia
- Australian Prostate Cancer Research Centre-Qld, Queensland University of Technology, Brisbane; Prostate Cancer Research Program, Monash University, Melbourne; Dame Roma Mitchell Cancer Centre, University of Adelaide, Adelaide; Chris O’Brien Lifehouse and The Kinghorn Cancer Centre, Sydney, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Nora Pashayan
- University College London, Department of Applied Health Research, London, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Ruth C. Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jong Y. Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - David J. Hunter
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kathryn L. Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA, USA
| | | | - Robert J. Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, Canada
- Dept. of Surgery (Urology), University of Toronto, Canada
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Laval, QC, Canada
- Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Janet L. Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Alicja Wolk
- Division of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Karina D. Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - William J. Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- International Epidemiology Institute, Rockville, MD, USA
| | - Edward D. Yeboah
- University of Ghana Medical School, Accra, Ghana
- Korle Bu Teaching Hospital, Accra, Ghana
| | - James E. Mensah
- University of Ghana Medical School, Accra, Ghana
- Korle Bu Teaching Hospital, Accra, Ghana
| | - Yong-Jie Lu
- Centre for Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK
| | - Daniel J. Schaid
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Stephen N. Thibodeau
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Catharine M. West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, UK
| | | | - Adam S. Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, Boston, MA, USA
| | - Géraldine Cancel-Tassin
- CeRePP, Tenon Hospital, Paris, France
- Sorbonne Universite, GRC 5 Predictive Onco-urology, Tenon Hospital, Paris, France
| | - Florence Menegaux
- “Exposome and Heredity”, CESP (UMR 1018), Faculté de Médecine, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France
| | - Esther M. John
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Kay-Tee Khaw
- Clinical Gerontology Unit, University of Cambridge, Cambridge, UK
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago De Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Spain
| | - Barry S. Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manuel R. Teixeira
- Department of Genetics, Portuguese Oncology Institute of Porto (IPO-Porto), Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, Porto, Portugal
| | - NC-LA PCaP Investigators
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Lisa Cannon-Albright
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Chad Huff
- Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, Bulgaria
| | - Robin J. Leach
- Department of Urology, Cancer Therapy and Research Center, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Ann W. Hsing
- Department of Medicine and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Rick A. Kittles
- Division of Health Equities, Department of Population Sciences, City of Hope, Duarte, CA, USA
| | - Adam B. Murphy
- Department of Urology, Northwestern University, Chicago, IL, USA
| | - Christopher J. Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, Houston, TX, USA
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - William B. Isaacs
- James Buchanan Brady Urological Institute, Johns Hopkins Hospital and Medical Institution, Baltimore, MD, USA
| | - Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Anselm J. Hennis
- Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY, USA
- Chronic Disease Research Centre and Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hardev Pandha
- Faculty of Health and Medical Sciences, The University of Surrey, Guildford, Surrey, UK
| | - Kim De Ruyck
- Ghent University, Faculty of Medicine and Health Sciences, Basic Medical Sciences, Gent, Belgium
| | - Jianfeng Xu
- Program for Personalized Cancer Care and Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia (CRM), Outpatient Centre, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | - Canary PASS Investigators
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Lisa F. Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Urology, University of Washington, Seattle, WA, USA
| | - Jay H. Fowke
- Division of Epidemiology, Department of Preventive Medicine, The University of Tennessee Health Science Center, TN, USA
| | | | | | - Marija Gamulin
- Department of Oncology, University Hospital Centre Zagreb, University of Zagreb School of Medicine, Zagreb, Croatia
| | - Nawaid Usmani
- Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada
- Division of Radiation Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, Leuven, Belgium
| | - Manuela GagoDominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, Santiago de Compostela, Spain
- University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Jose Esteban Castelao
- Genetic Oncology Unit, CHUVI Hospital, Complexo Hospitalario Universitario de Vigo, Instituto de Investigación Biomédica Galicia Sur (IISGS), Vigo (Pontevedra), Spain
| | - Paul A. Townsend
- Division of Cancer Sciences, Manchester Cancer Research Centre, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Health Innovation Manchester, University of Manchester, UK
- The University of Surrey, Guildford, Surrey, UK
| | - Dana C. Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, OH, USA
| | - Gyorgy Petrovics
- Center for Prostate Disease Research, Uniformed Services University, Bethesda, MD, USA
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Monique J. Roobol
- 109 Department of Urology, Erasmus University Medical Center, Cancer Institute, Rotterdam, The Netherlands
| | - Jennifer F. Hu
- The University of Miami School of Medicine, Sylvester Comprehensive Cancer Center, Miami, FL, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Stephen K. Van Den Eeden
- Division of Research, Kaiser Permanente, Northern California, Oakland, CA, USA
- Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Douglas F. Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Michael B. Cook
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - John S. Witte
- Department of Epidemiology and Population Health, Department of Biomedical Data Science, Stanford Cancer Institute, Stanford, CA, USA
| | - Rosalind A. Eeles
- The Institute of Cancer Research, Sutton, London, UK
- Royal Marsden NHS Foundation Trust, London, UK
| | | | - Stephen Watya
- School of Public Health, Makerere University College of Health Sciences, Kampala Uganda
| | - John M. Gaziano
- VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Amy C. Justice
- VA Connecticut Healthcare System, West Haven, CT, USA
- Yale School of Medicine, New Haven, CT, USA
| | - David V. Conti
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher A. Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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12
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Guan Z, Begg CB, Shen R. Predicting Cancer Risk from Germline Whole-exome Sequencing Data Using a Novel Context-based Variant Aggregation Approach. CANCER RESEARCH COMMUNICATIONS 2023; 3:483-488. [PMID: 36969913 PMCID: PMC10032232 DOI: 10.1158/2767-9764.crc-22-0355] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/24/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Many studies have shown that the distributions of the genomic, nucleotide, and epigenetic contexts of somatic variants in tumors are informative of cancer etiology. Recently, a new direction of research has focused on extracting signals from the contexts of germline variants and evidence has emerged that patterns defined by these factors are associated with oncogenic pathways, histologic subtypes, and prognosis. It remains an open question whether aggregating germline variants using meta-features capturing their genomic, nucleotide, and epigenetic contexts can improve cancer risk prediction. This aggregation approach can potentially increase statistical power for detecting signals from rare variants, which have been hypothesized to be a major source of the missing heritability of cancer. Using germline whole-exome sequencing data from the UK Biobank, we developed risk models for 10 cancer types using known risk variants (cancer-associated SNPs and pathogenic variants in known cancer predisposition genes) as well as models that additionally include the meta-features. The meta-features did not improve the prediction accuracy of models based on known risk variants. It is possible that expanding the approach to whole-genome sequencing can lead to gains in prediction accuracy. Significance There is evidence that cancer is partly caused by rare genetic variants that have not yet been identified. We investigate this issue using novel statistical methods and data from the UK Biobank.
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Affiliation(s)
- Zoe Guan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Colin B. Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
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13
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Dicanio M, Giaccherini M, Clay‐Gilmour A, Macauda A, Sainz J, Machiela MJ, Rybicka‐Ramos M, Norman AD, Tyczyńska A, Chanock SJ, Barington T, Kumar SK, Bhatti P, Cozen W, Brown EE, Suska A, Haastrup EK, Orlowski RZ, Dudziński M, Garcia‐Sanz R, Kruszewski M, Martinez‐Lopez J, Beider K, Iskierka‐Jazdzewska E, Pelosini M, Berndt SI, Raźny M, Jamroziak K, Rajkumar SV, Jurczyszyn A, Vangsted AJ, Collado PG, Vogel U, Hofmann JN, Petrini M, Butrym A, Slager SL, Ziv E, Subocz E, Giles GG, Andersen NF, Mazur G, Watek M, Lesueur F, Hildebrandt MAT, Zawirska D, Ebbesen LH, Marques H, Gemignani F, Dumontet C, Várkonyi J, Buda G, Nagler A, Druzd‐Sitek A, Wu X, Kadar K, Camp NJ, Grzasko N, Waller RG, Vachon C, Canzian F, Campa D. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk. Int J Cancer 2023; 152:239-248. [PMID: 36082445 PMCID: PMC9828677 DOI: 10.1002/ijc.34278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 01/12/2023]
Abstract
Pleiotropy, which consists of a single gene or allelic variant affecting multiple unrelated traits, is common across cancers, with evidence for genome-wide significant loci shared across cancer and noncancer traits. This feature is particularly relevant in multiple myeloma (MM) because several susceptibility loci that have been identified to date are pleiotropic. Therefore, the aim of this study was to identify novel pleiotropic variants involved in MM risk using 28 684 independent single nucleotide polymorphisms (SNPs) from GWAS Catalog that reached a significant association (P < 5 × 10-8 ) with their respective trait. The selected SNPs were analyzed in 2434 MM cases and 3446 controls from the International Lymphoma Epidemiology Consortium (InterLymph). The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1955 MM cases and 1549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147 282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4-rs34517439-A and an increased risk of developing MM (OR = 1.22, 95%CI 1.13-1.32, P = 4.81 × 10-7 ). rs34517439-A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA-binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. In conclusion, with a pleiotropic scan approach we identified DNAJB4-rs34517439 as a potentially novel MM risk locus.
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Affiliation(s)
| | | | - Alyssa Clay‐Gilmour
- Department of Epidemiology and Biostatistics, Arnold School of Public HealthUniversity of South CarolinaGreenvilleSouth CarolinaUSA
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Center for Genomics and Oncological Research: PfizerUniversity of Granada/Andalusian Regional GovernmentGranadaSpain,Department of HematologyVirgen de las Nieves University HospitalGranadaSpain,Department of MedicineUniversity of GranadaGranadaSpain
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Aaron D. Norman
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA,Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Agata Tyczyńska
- Department of Hematology and TransplantologyMedical University of GdańskGdańskPoland
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Shaji K. Kumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Parveen Bhatti
- Cancer Control ResearchBC CancerVancouverCanada,Program in Epidemiology, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA,Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA
| | - Elizabeth E. Brown
- Department of Pathology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Anna Suska
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | - Robert Z. Orlowski
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Marek Dudziński
- Department of Hematology, Institute of Medical Sciences, College of Medical SciencesUniversity of RzeszowRzeszowPoland
| | - Ramon Garcia‐Sanz
- Medina A. Department of Hematology, University Hospital of Salamanca (HUS/IBSAL)CIBERONC and Cancer Research Institute of Salamanca‐IBMCC (USAL‐CSIC)SalamancaSpain
| | - Marcin Kruszewski
- Department of HematologyUniversity Hospital No. 2 in BydgoszczBydgoszczPoland
| | | | - Katia Beider
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | | | - Matteo Pelosini
- U.O. Dipartimento di EmatologiaAzienda USL Toscana Nord OvestLivornoItaly,Present address:
Ospedale Santa ChiaraPisaItaly
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Krzysztof Jamroziak
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland
| | - S. Vincent Rajkumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | | | - Ulla Vogel
- National Research Center for the Working EnvironmentCopenhagenDenmark
| | - Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | - Mario Petrini
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Aleksandra Butrym
- Department of Cancer Prevention and TherapyWroclaw Medical UniversityWroclawPoland
| | - Susan L. Slager
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Elad Ziv
- Department of MedicineUniversity of California San Francisco Helen Diller Family Comprehensive Cancer CenterSan FranciscoCaliforniaUSA
| | - Edyta Subocz
- Department of HematologyMilitary Institute of MedicineWarsawPoland
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia,Center for Epidemiology and Biostatistics, School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia,Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
| | | | - Grzegorz Mazur
- Department of Internal Diseases, Occupational Medicine, Hypertension and Clinical OncologyWroclaw Medical UniversityWroclawPoland
| | - Marzena Watek
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland,Department of HematologyHolycross Cancer CenterKielcePoland
| | - Fabienne Lesueur
- Inserm, U900, Institut Curie, PSL Research University, Mines ParisTechParisFrance
| | - Michelle A. T. Hildebrandt
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Daria Zawirska
- Department of HematologyUniversity Hospital in CracowCracowPoland
| | | | - Herlander Marques
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of Minho, Braga, Portugal and ICVS/3B's – PT Government Associate LaboratoryBraga/GuimarãesPortugal
| | | | | | - Judit Várkonyi
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Gabriele Buda
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Arnon Nagler
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | - Agnieszka Druzd‐Sitek
- Department of Lymphoproliferative DiseasesMaria Skłodowska‐Curie National Research Institute of OncologyWarsawPoland
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population SciencesUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Katalin Kadar
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Nicola J. Camp
- Division of Hematology and Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Norbert Grzasko
- Department of Experimental HematooncologyMedical University of LublinLublinPoland
| | - Rosalie G. Waller
- Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Celine Vachon
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
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14
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Wang Q, Zeng A, Zhu M, Song L. Dual inhibition of EGFR‑VEGF: An effective approach to the treatment of advanced non‑small cell lung cancer with EGFR mutation (Review). Int J Oncol 2023; 62:26. [PMID: 36601768 PMCID: PMC9851127 DOI: 10.3892/ijo.2023.5474] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/01/2022] [Indexed: 01/04/2023] Open
Abstract
On a global scale, the incidence and mortality rates of lung cancer are gradually increasing year by year. A number of bad habits and environmental factors are associated with lung cancer, including smoking, second‑hand smoke exposure, occupational exposure, respiratory diseases and genetics. At present, low‑dose spiral computed tomography is routinely the first choice in the diagnosis of lung cancer. However, pathological examination is still the gold standard for the diagnosis of lung cancer. Based on the classification and stage of the cancer, treatment options such as surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy are available. The activation of the EGFR pathway can promote the survival and proliferation of tumor cells, and the VEGF pathway can promote the formation of blood vessels, thereby promoting tumor growth. In non‑small cell lung cancer (NSCLC) with EGFR mutation, EGFR activation can promote tumor growth by promoting VEGF upregulation through a hypoxia‑independent mechanism. The upregulation of VEGF can make tumor cells resistant to EGFR inhibitors. In addition, the expression of the VEGF signal is also affected by other factors. Therefore, the use of a single EGFR inhibitor cannot completely inhibit the expression of the VEGF signal. In order to overcome this problem, the combination of VEGF inhibitors and EGFR inhibitors has become the method of choice. Dual inhibition can not only overcome the resistance of tumor cells to EGFR inhibitors, but also significantly increase the progression‑free survival time of patients with NSCLC. The present review discusses the associations between the EGFR and VEGF pathways, and the characteristics of dual inhibition of the EGFR‑VEGF pathway.
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Affiliation(s)
- Qian Wang
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China
| | - Anqi Zeng
- Institute of Translational Pharmacology and Clinical Application, Sichuan Academy of Chinese Medical Science, Chengdu, Sichuan 610041, P.R. China
| | - Min Zhu
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China,Correspondence to: Dr Linjiang Song or Dr Min Zhu, School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Chengdu, Sichuan 611137, P.R. China, E-mail: , E-mail:
| | - Linjiang Song
- School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China,Correspondence to: Dr Linjiang Song or Dr Min Zhu, School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, 1166 Liutai Avenue, Chengdu, Sichuan 611137, P.R. China, E-mail: , E-mail:
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15
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Linking single nucleotide polymorphisms to signaling blueprints in abdominal aortic aneurysms. Sci Rep 2022; 12:20990. [PMID: 36470918 PMCID: PMC9722707 DOI: 10.1038/s41598-022-25144-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/25/2022] [Indexed: 12/07/2022] Open
Abstract
Abdominal aortic aneurysms (AAA) is a multifactorial complex disease with life-threatening consequences. While Genome-wide association studies (GWAS) have revealed several single nucleotide polymorphisms (SNPs) located in the genome of individuals with AAA, the link between SNPs with the associated pathological signals, the influence of risk factors on their distribution and their combined analysis is not fully understood. We integrated 86 AAA SNPs from GWAS and clinical cohorts from the literature to determine their phenotypical vulnerabilities and association with AAA risk factors. The SNPs were annotated using snpXplorer AnnotateMe tool to identify their chromosomal position, minor allele frequency, CADD (Combined Annotation Dependent Depletion), annotation-based pathogenicity score, variant consequence, and their associated gene. Gene enrichment analysis was performed using Gene Ontology and clustered using REVIGO. The plug-in GeneMANIA in Cytoscape was applied to identify network integration with associated genes and functions. 15 SNPs affecting 20 genes with a CADD score above ten were identified. AAA SNPs were predominantly located on chromosome 3 and 9. Stop-gained rs5516 SNP obtained high frequency in AAA and associated with proinflammatory and vascular remodeling phenotypes. SNPs presence positively correlated with hypertension, dyslipidemia and smoking history. GO showed that AAA SNPs and their associated genes could regulate lipid metabolism, extracellular matrix organization, smooth muscle cell proliferation, and oxidative stress, suggesting that part of these AAA traits could stem from genetic abnormalities. We show a library of inborn SNPs and associated genes that manifest in AAA. We uncover their pathological signaling trajectories that likely fuel AAA development.
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16
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2022; 36:2835-2844. [PMID: 36273105 PMCID: PMC10337695 DOI: 10.1038/s41375-022-01711-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/22/2022] [Accepted: 09/15/2022] [Indexed: 11/08/2022]
Abstract
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10-8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, United Kingdom
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, United Kingdom
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Alexandra Smith
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, VC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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17
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Harrison H, Li N, Saunders CL, Rossi SH, Dennis J, Griffin SJ, Stewart GD, Usher‐Smith JA. The current state of genetic risk models for the development of kidney cancer: a review and validation. BJU Int 2022; 130:550-561. [PMID: 35460182 PMCID: PMC9790357 DOI: 10.1111/bju.15752] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE To review the current state of genetic risk models for predicting the development of kidney cancer, by identifying and comparing the performance of published models. METHODS Risk models were identified from a recent systematic review and the Cancer-PRS web directory. A narrative synthesis of the models, previous validation studies and related genome-wide association studies (GWAS) was carried out. The discrimination and calibration of the identified models was then assessed and compared in the UK Biobank (UKB) cohort (cases, 452; controls, 487 925). RESULTS A total of 39 genetic models predicting the development of kidney cancer were identified and 31 were validated in the UKB. Several of the genetic-only models (seven of 25) and most of the mixed genetic-phenotypic models (five of six) had some discriminatory ability (area under the receiver operating characteristic curve >0.5) in this cohort. In general, models containing a larger number of genetic variants identified in GWAS performed better than models containing a small number of variants associated with known causal pathways. However, the performance of the included models was consistently poorer than genetic risk models for other cancers. CONCLUSIONS Although there is potential for genetic models to identify those at highest risk of developing kidney cancer, their performance is poorer than the best genetic risk models for other cancers. This may be due to the comparatively small number of genetic variants associated with kidney cancer identified in GWAS to date. The development of improved genetic risk models for kidney cancer is dependent on the identification of more variants associated with this disease. Whether these will have utility within future kidney cancer screening pathways is yet to determined.
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Affiliation(s)
- Hannah Harrison
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Nicole Li
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- Deanary of Biomedical SciencesUniversity of EdinburghEdinburghUK
| | | | - Sabrina H. Rossi
- Department of SurgeryUniversity of CambridgeAddenbrooke’s HospitalCambridgeUK
| | - Joe Dennis
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Simon J. Griffin
- Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
| | - Grant D. Stewart
- Department of SurgeryUniversity of CambridgeAddenbrooke’s HospitalCambridgeUK
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18
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Svishcheva GR, Tiys ES, Elgaeva EE, Feoktistova SG, Timmers PRHJ, Sharapov SZ, Axenovich TI, Tsepilov YA. A Novel Framework for Analysis of the Shared Genetic Background of Correlated Traits. Genes (Basel) 2022; 13:genes13101694. [PMID: 36292579 PMCID: PMC9602050 DOI: 10.3390/genes13101694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 11/16/2022] Open
Abstract
We propose a novel effective framework for the analysis of the shared genetic background for a set of genetically correlated traits using SNP-level GWAS summary statistics. This framework called SHAHER is based on the construction of a linear combination of traits by maximizing the proportion of its genetic variance explained by the shared genetic factors. SHAHER requires only full GWAS summary statistics and matrices of genetic and phenotypic correlations between traits as inputs. Our framework allows both shared and unshared genetic factors to be effectively analyzed. We tested our framework using simulation studies, compared it with previous developments, and assessed its performance using three real datasets: anthropometric traits, psychiatric conditions and lipid concentrations. SHAHER is versatile and applicable to summary statistics from GWASs with arbitrary sample sizes and sample overlaps, allows for the incorporation of different GWAS models (Cox, linear and logistic), and is computationally fast.
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Affiliation(s)
- Gulnara R. Svishcheva
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 117971 Moscow, Russia
| | - Evgeny S. Tiys
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Elizaveta E. Elgaeva
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Sofia G. Feoktistova
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Paul R. H. J. Timmers
- MRC Human Genetics Unit, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH8 9YL, UK
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh EH8 9YL, UK
| | - Sodbo Zh. Sharapov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
| | - Tatiana I. Axenovich
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
| | - Yakov A. Tsepilov
- Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia
- Novosibirsk State University, 630090 Novosibirsk, Russia
- Correspondence:
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19
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Byun J, Han Y, Li Y, Xia J, Long E, Choi J, Xiao X, Zhu M, Zhou W, Sun R, Bossé Y, Song Z, Schwartz A, Lusk C, Rafnar T, Stefansson K, Zhang T, Zhao W, Pettit RW, Liu Y, Li X, Zhou H, Walsh KM, Gorlov I, Gorlova O, Zhu D, Rosenberg SM, Pinney S, Bailey-Wilson JE, Mandal D, de Andrade M, Gaba C, Willey JC, You M, Anderson M, Wiencke JK, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojeson S, Brenner H, Landi MT, Chanock SJ, Johansson M, Muley T, Risch A, Wichmann HE, Bickeböller H, Christiani DC, Rennert G, Arnold S, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Andrew AS, Kiemeney LA, Shen H, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Cox A, Hong YC, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Patel A, Lan Q, Rothman N, Taylor F, Kachuri L, Witte JS, Sakoda LC, Spitz M, Brennan P, Lin X, McKay J, Hung RJ, Amos CI. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer. Nat Genet 2022; 54:1167-1177. [PMID: 35915169 PMCID: PMC9373844 DOI: 10.1038/s41588-022-01115-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 05/27/2022] [Indexed: 02/03/2023]
Abstract
To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity. Fine-mapping and expression quantitative trait locus colocalization nominated several candidate variants and susceptibility genes such as IRF4 and FUBP1. DNA damage assays of prioritized genes in lung fibroblasts indicated that a subset of these genes, including the pleiotropic gene IRF4, potentially exert effects by promoting endogenous DNA damage.
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Affiliation(s)
- Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Younghun Han
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Yafang Li
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Jun Xia
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiangjun Xiao
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | - Wen Zhou
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
| | - Yohan Bossé
- Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Department of Molecular Medicine, Laval University, Quebec City, Quebec, Canada
| | - Zhuoyi Song
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Ann Schwartz
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | - Christine Lusk
- Department of Oncology, Wayne State University School of Medicine, Detroit, MI, USA
- Karmanos Cancer Institute, Detroit, MI, USA
| | | | | | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wei Zhao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rowland W Pettit
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Yanhong Liu
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Xihao Li
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Hufeng Zhou
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Kyle M Walsh
- Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA
| | - Ivan Gorlov
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Olga Gorlova
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Dakai Zhu
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Susan M Rosenberg
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Susan Pinney
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | - Diptasri Mandal
- Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Colette Gaba
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - James C Willey
- The University of Toledo College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
| | - Ming You
- Center for Cancer Prevention, Houston Methodist Research Institute, Houston, TX, USA
| | | | - John K Wiencke
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephan Lam
- Department of Integrative Oncology, BC Cancer, Vancouver, British Columbia, Canada
| | - Adonina Tardon
- Public Health Department, University of Oviedo, ISPA and CIBERESP, Asturias, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Stig Bojeson
- Department of Clinical Biochemistry, Herlev Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Thomas Muley
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Angela Risch
- Division of Cancer Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Biosciences and Medical Biology, Allergy-Cancer-BioNano Research Centre, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center, Georg-August-University Göttingen, Göttingen, Germany
| | - David C Christiani
- Department of Epidemiology, Harvard T.H.Chan School of Public Health, Boston, MA, USA
| | - Gad Rennert
- Clalit National Cancer Control Center at Carmel Medical Center and Technion Faculty of Medicine, Haifa, Israel
| | - Susanne Arnold
- University of Kentucky, Markey Cancer Center, Lexington, KY, USA
| | - John K Field
- Roy Castle Lung Cancer Research Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Sanjay Shete
- Department of Biostatistics, University of Texas, M.D. Anderson Cancer Center, Houston, TX, USA
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | | | | | - Geoffrey Liu
- University Health Network- The Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Angeline S Andrew
- Departments of Epidemiology and Community and Family Medicine, Dartmouth College, Hanover, NH, USA
| | | | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, P. R. China
| | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Angela Cox
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alpa Patel
- American Cancer Society, Atlanta, GA, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fiona Taylor
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Margaret Spitz
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Paul Brennan
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Xihong Lin
- Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - James McKay
- Section of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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20
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Long E, Patel H, Byun J, Amos CI, Choi J. Functional studies of lung cancer GWAS beyond association. Hum Mol Genet 2022; 31:R22-R36. [PMID: 35776125 DOI: 10.1093/hmg/ddac140] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/01/2022] [Accepted: 06/16/2022] [Indexed: 11/14/2022] Open
Abstract
Fourteen years after the first genome-wide association study (GWAS) of lung cancer was published, approximately forty-five genomic loci have now been significantly associated with lung cancer risk. While functional characterization was performed for several of these loci, a comprehensive summary of current molecular understanding of lung cancer risk has been lacking. Further, many novel computational and experimental tools now became available to accelerate the functional assessment of disease-associated variants, moving beyond locus-by-locus approaches. In this review, we first highlight the heterogeneity of lung cancer GWAS findings across histological subtypes, ancestries, and smoking status, which poses unique challenges to follow-up studies. We then summarize the published lung cancer post-GWAS studies for each risk-associated locus to assess the current understanding of biological mechanisms beyond the initial statistical association. We further summarize strategies for GWAS functional follow-up studies considering cutting-edge functional genomics tools and providing a catalog of available resources relevant to lung cancer. Overall, we aim to highlight the importance of integrating computational and experimental approaches to draw biological insights from the lung cancer GWAS results beyond association.
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Affiliation(s)
- Erping Long
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Harsh Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.,Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.,Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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21
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Cigan SS, Meredith JJ, Kelley AC, Yang T, Langer EK, Hooten AJ, Lane JA, Cole BR, Krailo M, Frazier AL, Pankratz N, Poynter JN. Predicted leukocyte telomere length and risk of germ cell tumours. Br J Cancer 2022; 127:301-312. [PMID: 35368045 PMCID: PMC9296514 DOI: 10.1038/s41416-022-01798-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 03/04/2022] [Accepted: 03/17/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Genetically predicted leukocyte telomere length (LTL) has been evaluated in several studies of childhood and adult cancer. We test whether genetically predicted longer LTL is associated with germ cell tumours (GCT) in children and adults. METHODS Paediatric GCT samples were obtained from a Children's Oncology Group study and state biobank programs in California and Michigan (N = 1413 cases, 1220 biological parents and 1022 unrelated controls). Replication analysis included 396 adult testicular GCTs (TGCT) and 1589 matched controls from the UK Biobank. Mendelian randomisation was used to look at the association between genetically predicted LTL and GCTs and TERT variants were evaluated within GCT subgroups. RESULTS We identified significant associations between TERT variants reported in previous adult TGCT GWAS in paediatric GCT: TERT/rs2736100-C (OR = 0.82; P = 0.0003), TERT/rs2853677-G (OR = 0.80; P = 0.001), and TERT/rs7705526-A (OR = 0.81; P = 0.003). We also extended these findings to females and tumours outside the testes. In contrast, we did not observe strong evidence for an association between genetically predicted LTL by other variants and GCT risk in children or adults. CONCLUSION While TERT is a known susceptibility locus for GCT, our results suggest that LTL predicted by other variants is not strongly associated with risk in either children or adults.
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Affiliation(s)
- Shannon S Cigan
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA.
| | - John J Meredith
- Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Ava C Kelley
- Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Tianzhong Yang
- Department of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Erica K Langer
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Anthony J Hooten
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA
| | - John A Lane
- Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Benjamin R Cole
- Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Mark Krailo
- Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - A Lindsay Frazier
- Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, 02215, USA
| | - Nathan Pankratz
- Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Jenny N Poynter
- Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA.,Masonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA
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22
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Skhoun H, Khattab M, Belkhayat A, Takki Chebihi Z, Bakri Y, Dakka N, El Baghdadi J. Association of TP53 gene polymorphisms with the risk of acute lymphoblastic leukemia in Moroccan children. Mol Biol Rep 2022; 49:8291-8300. [PMID: 35705773 DOI: 10.1007/s11033-022-07643-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 05/25/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND TP53 gene plays a pivotal role in maintaining genetic stability and prevention of malignancies. Alterations of this gene are implicated in more than half of human cancers. To the best of our knowledge, this study is the first to explore TP53 polymorphisms in Moroccan childhood acute lymphoblastic leukemia (ALL). METHODS AND RESULTS DNA samples of 45 ALL children were obtained from peripheral blood. A total of 333 healthy Moroccans were used as controls. Polymerase chain reaction and Sanger sequencing were performed to analyze TP53 hotspot exons in cases. We identified a significant protective effect of the TP53-Arg variant at rs1042522 [OR 0.4593 (0.249-0.8472), p = 0.0127] and the Pro/Arg genotype [OR 0.0350 (0.0047-0.2583), p = 0.0010]. Additionally, we found a novel association between the C-allele of Arg213Arg 1800372 [OR 2.7736 (1.3821-5.5664), p = 0.0041] and the risk of childhood ALL. Importantly, TC/CC genotypes of this polymorphism were revealed to enhance the risk of ALL among females [OR 9.0 (3.1555-25.6693), p < 0.0001]. Arg213Arg was also noticed to be associated with the hemoglobin count of patients at diagnosis by linear regression (p = 0.0318). The analysis of penetrance showed a significant association of the CG/GG genotypes at rs1042522 and TC/CC genotypes at rs1800372 to childhood ALL via dominant model [OR 0.2090 (0.09074-0.4814), p = 0.0002 and OR 3.4205 (1.6084-7.2742), p = 0.0014 for rs1042522 and rs1800372 respectively]. No association was found between TP53 polymorphisms and patients survival. CONCLUSION Altogether, our findings indicated that TP53 polymorphisms are significantly involved in the genetic susceptibility to childhood ALL in Morocco.
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Affiliation(s)
- Hanaa Skhoun
- Genetics Unit, Military Hospital Mohammed V, Rabat, Morocco.,Laboratory of Human Pathologies Biology and Genomic Center of Human Pathologies, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat, Morocco
| | - Mohammed Khattab
- Pediatric Hematology and Oncology Center, Children's Hospital, Rabat, Morocco
| | | | | | - Youssef Bakri
- Laboratory of Human Pathologies Biology and Genomic Center of Human Pathologies, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat, Morocco
| | - Nadia Dakka
- Laboratory of Human Pathologies Biology and Genomic Center of Human Pathologies, Department of Biology, Faculty of Sciences, Mohammed V University, Rabat, Morocco
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23
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You D, Wang D, Wu Y, Chen X, Shao F, Wei Y, Zhang R, Lange T, Ma H, Xu H, Hu Z, Christiani DC, Shen H, Chen F, Zhao Y. Associations of genetic risk, BMI trajectories, and the risk of non-small cell lung cancer: a population-based cohort study. BMC Med 2022; 20:203. [PMID: 35658861 PMCID: PMC9169327 DOI: 10.1186/s12916-022-02400-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 05/10/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Body mass index (BMI) has been found to be associated with a decreased risk of non-small cell lung cancer (NSCLC); however, the effect of BMI trajectories and potential interactions with genetic variants on NSCLC risk remain unknown. METHODS Cox proportional hazards regression model was applied to assess the association between BMI trajectory and NSCLC risk in a cohort of 138,110 participants from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. One-sample Mendelian randomization (MR) analysis was further used to access the causality between BMI trajectories and NSCLC risk. Additionally, polygenic risk score (PRS) and genome-wide interaction analysis (GWIA) were used to evaluate the multiplicative interaction between BMI trajectories and genetic variants in NSCLC risk. RESULTS Compared with individuals maintaining a stable normal BMI (n = 47,982, 34.74%), BMI trajectories from normal to overweight (n = 64,498, 46.70%), from normal to obese (n = 21,259, 15.39%), and from overweight to obese (n = 4,371, 3.16%) were associated with a decreased risk of NSCLC (hazard ratio [HR] for trend = 0.78, P < 2×10-16). An MR study using BMI trajectory associated with genetic variants revealed no significant association between BMI trajectories and NSCLC risk. Further analysis of PRS showed that a higher GWAS-identified PRS (PRSGWAS) was associated with an increased risk of NSCLC, while the interaction between BMI trajectories and PRSGWAS with the NSCLC risk was not significant (PsPRS= 0.863 and PwPRS= 0.704). In GWIA analysis, four independent susceptibility loci (P < 1×10-6) were found to be associated with BMI trajectories on NSCLC risk, including rs79297227 (12q14.1, located in SLC16A7, Pinteraction = 1.01×10-7), rs2336652 (3p22.3, near CLASP2, Pinteraction = 3.92×10-7), rs16018 (19p13.2, in CACNA1A, Pinteraction = 3.92×10-7), and rs4726760 (7q34, near BRAF, Pinteraction = 9.19×10-7). Functional annotation demonstrated that these loci may be involved in the development of NSCLC by regulating cell growth, differentiation, and inflammation. CONCLUSIONS Our study has shown an association between BMI trajectories, genetic factors, and NSCLC risk. Interestingly, four novel genetic loci were identified to interact with BMI trajectories on NSCLC risk, providing more support for the aetiology research of NSCLC. TRIAL REGISTRATION http://www. CLINICALTRIALS gov , NCT01696968 .
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Affiliation(s)
- Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Danhua Wang
- Department of Public Health and Preventive Medicine, Kangda College of Nanjing Medical University, Lianyungang, 222000, China
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Xin Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Fang Shao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Yongyue Wei
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Ruyang Zhang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Theis Lange
- Section of Biostatistics, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, ØsterFarimagsgade 5, 1353, Copenhagen, Denmark
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Hongyang Xu
- Department of Critical Care Medicine, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, 214023, Jiangsu, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.,Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, 02115, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Feng Chen
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, Jiangsu, China. .,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA. .,China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,The Center of Biomedical Big Data and the Laboratory of Biomedical Big Data, Nanjing Medical University, Nanjing, 211166, Jiangsu, China. .,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
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24
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James LM, Georgopoulos AP. Immunogenetic clustering of 30 cancers. Sci Rep 2022; 12:7235. [PMID: 35508592 PMCID: PMC9068692 DOI: 10.1038/s41598-022-11366-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/15/2022] [Indexed: 11/09/2022] Open
Abstract
Human leukocyte antigen (HLA) genes have been implicated in cancer risk and shared heritability of different types of cancer. In this immunogenetic epidemiological study we first computed a Cancer-HLA profile for 30 cancer types characterized by the correlation between the prevalence of each cancer and the population frequency of 127 HLA alleles, and then used multidimensional scaling to evaluate the possible clustering of those Cancer-HLA associations. The results indicated the presence of three clusters, broadly reflecting digestive-skin-cervical cancers, reproductive and endocrine systems cancers, and brain and androgen-associated cancers. The clustering of cancer types documented here is discussed in terms of mechanisms underlying shared Cancer-HLA associations.
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Affiliation(s)
- Lisa M James
- The HLA Research Group, Brain Sciences Center (11B), Department of Veterans Affairs Health Care System, Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, 55417, USA.,Department of Neuroscience, University of Minnesota Medical School, Minneapolis, MN, 55455, USA.,Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, 55455, USA
| | - Apostolos P Georgopoulos
- The HLA Research Group, Brain Sciences Center (11B), Department of Veterans Affairs Health Care System, Minneapolis VAHCS, One Veterans Drive, Minneapolis, MN, 55417, USA. .,Department of Neuroscience, University of Minnesota Medical School, Minneapolis, MN, 55455, USA. .,Department of Psychiatry, University of Minnesota Medical School, Minneapolis, MN, 55455, USA. .,Department of Neurology, University of Minnesota Medical School, Minneapolis, MN, 55455, USA.
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25
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van der Graaf W, Tesselaar M, McVeigh T, Oyen W, Fröhling S. Biology-Guided Precision Medicine in Rare Cancers: Lessons from Sarcomas and Neuroendocrine Tumours. Semin Cancer Biol 2022; 84:228-241. [DOI: 10.1016/j.semcancer.2022.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 11/26/2022]
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26
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El Hadi C, Ayoub G, Bachir Y, Haykal M, Jalkh N, Kourie HR. Polygenic and Network-Based Studies in Risk Identification and Demystification of cancer. Expert Rev Mol Diagn 2022; 22:427-438. [PMID: 35400274 DOI: 10.1080/14737159.2022.2065195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Diseases were initially thought to be the consequence of a single gene mutation. Advances in DNA sequencing tools and our understanding of gene behavior have revealed that complex diseases, such as cancer, are the product of genes cooperating with each other and with their environment in orchestrated communication networks. Seeing that the function of individual genes is still used to analyze cancer, the shift to using functionally interacting groups of genes as a new unit of study holds promise for demystifying cancer. AREAS COVERED The literature search focused on three types of cancer, namely breast, lung, and prostate, but arguments from other cancers were also included. The aim was to prove that multigene analyses can accurately predict and prognosticate cancer risk, subtype cancer for more personalized and effective treatments, and discover anti-cancer therapies. Computational intelligence is being harnessed to analyze this type of data and is proving indispensable to scientific progress. EXPERT OPINION In the future, comprehensive profiling of all kinds of patient data (e.g., serum molecules, environmental exposures) can be used to build universal networks that should help us elucidate the molecular mechanisms underlying diseases and provide appropriate preventive measures, ensuring lifelong health and longevity.
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Affiliation(s)
| | - George Ayoub
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Yara Bachir
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Michèle Haykal
- Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Nadine Jalkh
- Medical Genetics Unit, Technology and Health division, Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
| | - Hampig Raphael Kourie
- Department of Hematology-Oncology, Hotel Dieu de France University Hospital, Faculty of Medicine, Saint Joseph University, Beirut, Lebanon
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27
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Zhang P, Chen PL, Li ZH, Zhang A, Zhang XR, Zhang YJ, Liu D, Mao C. Association of smoking and polygenic risk with the incidence of lung cancer: a prospective cohort study. Br J Cancer 2022; 126:1637-1646. [PMID: 35194190 PMCID: PMC9130319 DOI: 10.1038/s41416-022-01736-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 01/23/2022] [Accepted: 02/02/2022] [Indexed: 12/24/2022] Open
Abstract
Background Genetic variation increases the risk of lung cancer, but the extent to which smoking amplifies this effect remains unknown. Therefore, we aimed to investigate the risk of lung cancer in people with different genetic risks and smoking habits. Methods This prospective cohort study included 345,794 European ancestry participants from the UK Biobank and followed up for 7.2 [6.5–7.8] years. Results Overall, 26.2% of the participants were former smokers, and 9.8% were current smokers. During follow-up, 1687 (0.49%) participants developed lung cancer. High genetic risk and smoking were independently associated with an increased risk of incident lung cancer. Compared with never-smokers, HR per standard deviation of the PRS increase was 1.16 (95% CI, 1.11–1.22), and HR of heavy smokers (≥40 pack-years) was 17.89 (95% CI, 15.31–20.91). There were no significant interactions between the PRS and the smoking status or pack-years. Population-attributable fraction analysis showed that smoking cessation might prevent 76.4% of new lung cancers. Conclusions Both high genetic risk and smoking were independently associated with higher lung cancer risk, but the increased risk of smoking was much more significant than heredity. The combination of traditional risk factors and additional PRS provides realistic application prospects for precise prevention.
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Affiliation(s)
- Peidong Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.,The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Pei-Liang Chen
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ao Zhang
- State Key Laboratory of Molecular Neuroscience and Center of Systems Biology and Human Health, Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China
| | - Xi-Ru Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yu-Jie Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Dan Liu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Chen Mao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China. .,Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
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28
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Wang X, Guo Z, Zhu H, Xin J, Yuan L, Qin C, Wang M, Zhang Z, Wang Y, Chu H. Genetic variants in splicing factor genes and susceptibility to bladder cancer. Gene 2022; 809:146022. [PMID: 34673209 DOI: 10.1016/j.gene.2021.146022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 09/03/2021] [Accepted: 10/14/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Genome-wide association studies have demonstrated that genetic variants are closely related to tumorigenesis and progression of cancer. However, the correlation between genetic variants in splicing factor genes and bladder cancer susceptibility remains unclear. METHOD A case-control study with 580 cases of bladder cancer and 1,101 controls was conducted to explore the association of single-nucleotide polymorphisms (SNPs) in splicing factors with bladder cancer susceptibility by logistic regression models, and multiple testing errors were justified by the false discovery rate (FDR) method. Next, we used the Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) datasets to further analyze the differential expression of candidate genes. RESULTS We found that rs978416 G>A in RBFOX3 contributed to a reduced risk of bladder cancer [adjusted odds ratio (OR) = 0.72, 95% confidence internal (CI) = 0.62-0.84, P = 3.54 × 10-5], especially in individuals who never smoked (P = 7.83 × 10-5). Stratified analysis showed that the protective effect of rs978416 was more significant in the subgroup of low grade and non-muscle invasive bladder cancer. Furthermore, the RBFOX3 mRNA expression was decreased in bladder tumor tissues. However, the relatively high expression of RBFOX3 was related to a higher bladder cancer stage. CONCLUSIONS Our findings indicated that SNP rs978416 G>A in RBFOX3 may be related to bladder cancer predisposition in Chinese population and might serve as a novel biomarker for bladder cancer risk.
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Affiliation(s)
- Xi Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zheng Guo
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Xuzhou Center for Disease Control and Prevention, Xuzhou, China
| | - Huanhuan Zhu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lin Yuan
- Department of Urology, Jiangsu Province Hospital of Traditional Chinese Medicine, Nanjing, China
| | - Chao Qin
- Department of Urology, The First Affiliated Hospital of Nanjing Medicial University, Nanjing, China
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Yunyan Wang
- Department of Urology, The Affiliated Huai'an No. 1 Hospital of Nanjing Medical University, Huai'an, China.
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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Yu EYW, Stern MC, Jiang X, Tang L, van den Brandt PA, Lu CM, Karagas MR, La Vecchia C, Bosetti C, Polesel J, Golka K, Zhang ZF, Villeneuve P, Zeegers MP, Wesselius A. Family history and risk of bladder cancer: an analysis accounting for first- and second-degree relatives. Cancer Prev Res (Phila) 2022; 15:319-326. [DOI: 10.1158/1940-6207.capr-21-0490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/24/2021] [Accepted: 01/07/2022] [Indexed: 11/16/2022]
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Choi J, Jia G, Wen W, Tao R, Long J, Shu XO, Zheng W. Associations of genetic susceptibility to 16 cancers with risk of breast cancer overall and by intrinsic subtypes. HGG ADVANCES 2022; 3:100077. [PMID: 35047862 PMCID: PMC8756518 DOI: 10.1016/j.xhgg.2021.100077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/06/2021] [Indexed: 11/24/2022] Open
Abstract
Certain genetic variants are associated with risks of multiple cancers. We investigated breast cancer risk with overall genetic susceptibility to each of 16 other cancers. We constructed polygenic risk scores (PRS) for 16 cancers using risk variants identified by genome-wide association studies. We evaluated the associations of these PRSs with breast cancer risk (overall and by subtypes) using Breast Cancer Association Consortium data, including 106,278 cases and 91,477 controls of European ancestry. Odds ratios (OR) and 95% confidence intervals (CIs) were estimated to measure the association of each PRS with breast cancer risk. Data from the UK Biobank, including 4,337 cases and 209,983 non-cases, were used to replicate the findings. A 5%–8% significantly elevated risk of overall breast cancer was associated with per unit increase of the PRS for glioma and cancers of the corpus uteri, stomach, or colorectum. Analyses by subtype revealed that the PRS for corpus uteri cancer (OR = 1.09; 95% CI, 1.03–1.15) and stomach cancer (OR = 1.07; 95% CI, 1.03–1.12) were associated with estrogen receptor-positive breast cancer, while ovarian cancer PRS was associated with triple-negative breast cancer (OR = 1.25; 95% CI, 1.01–1.55). UK Biobank data supported the positive associations of overall breast cancer risk with PRS for melanoma and cancers of the stomach, colorectum, and ovary. Our study provides strong evidence for shared genetic susceptibility of breast cancer with several other cancers. Results from our study help uncover the genetic basis for breast and other cancers and identify individuals at high risk for multiple cancers.
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Affiliation(s)
- Jungyoon Choi
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Guochong Jia
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Ran Tao
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37203, USA
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31
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Munoz A, Morachis JM. High efficiency sorting and outgrowth for single-cell cloning of mammalian cell lines. Biotechnol Lett 2022; 44:1337-1346. [PMID: 36074283 PMCID: PMC9659504 DOI: 10.1007/s10529-022-03300-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 08/23/2022] [Indexed: 01/29/2023]
Abstract
Single-cell selection and cloning is required for multiple bioprocessing and cell engineering workflows. Dispensing efficiency and outgrowth were optimized for multiple common suspension (CHO ES, Expi293F, and Jurkat) and adherent (MCF-7, A549, CHO-K1, and HEK293) cell lines. Single-cell sorting using a low pressure microfluidic cell sorter, the WOLF Cell Sorter, was compared with limiting dilution at 0.5 cells/well to demonstrate the increased efficiency of using flow cytometry selection of cells. In this work, there was an average single cell deposition on Day 0 of 89.1% across all the cell lines tested compared to 41.2% when using limiting dilution. After growth for 14 days, 66.7% of single-cell clones sorted with the WOLF Cell Sorter survived and only 23.8% when using limiting dilution. Using the WOLF Cell Sorter for cell line development results in higher viable single-cell colonies and the ability to select subpopulations of single-cells using multiple parameters.
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32
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Zhou W, Peng C, Liu Z, Cao W. A novel clinical signature predicts the survival of elderly patients with oral squamous cell carcinoma. Eur Arch Otorhinolaryngol 2022; 279:391-398. [PMID: 33783598 DOI: 10.1007/s00405-021-06786-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 03/24/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND The risk factors for the survival of elderly patients with oral squamous cell carcinoma (OSCC) are multifarious. Here, we developed a novel clinical signature to serve as an indicator of prognosis in these patients. MATERIALS AND METHODS Clinicopathological data were collected for 554 patients aged ≥ 60 years who were treated for primary OSCC. Overall survival (OS), disease-specific survival, and disease-free survival were the primary outcomes. RESULTS Multivariate cox regression analysis showed that high N stage, low hemoglobin level, low body mass index (BMI), and high neutrophil-to-lymphocyte ratio (NLR) showed a poor survival (P < 0.05). A nomogram was constructed with a c-index of 0.702. CONCLUSION A novel clinical signature including hemoglobin level, BMI, and NLR, which are obtained through noninvasive examinations can be used as prognostic indicators in clinical practice for elderly patients with OSCC.
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Affiliation(s)
- Wenkai Zhou
- Department of Oral and Maxillofacial and Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, 200011, People's Republic of China
| | - Canbang Peng
- School and Hospital of Stomatology, Kunming Medical University, Kunming, China
| | - Zheqi Liu
- Department of Oral and Maxillofacial and Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, 200011, People's Republic of China.
| | - Wei Cao
- Department of Oral and Maxillofacial and Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- Shanghai Key Laboratory of Stomatology and Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai, 200011, People's Republic of China.
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Wang Y, Zhu M, Ma H, Shen H. Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention. MEDICAL REVIEW (BERLIN, GERMANY) 2021; 1:129-149. [PMID: 37724297 PMCID: PMC10471106 DOI: 10.1515/mr-2021-0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/13/2021] [Indexed: 09/20/2023]
Abstract
Genome-wide association studies (GWASs) have shown that the genetic architecture of cancers are highly polygenic and enabled researchers to identify genetic risk loci for cancers. The genetic variants associated with a cancer can be combined into a polygenic risk score (PRS), which captures part of an individual's genetic susceptibility to cancer. Recently, PRSs have been widely used in cancer risk prediction and are shown to be capable of identifying groups of individuals who could benefit from the knowledge of their probabilistic susceptibility to cancer, which leads to an increased interest in understanding the potential utility of PRSs that might further refine the assessment and management of cancer risk. In this context, we provide an overview of the major discoveries from cancer GWASs. We then review the methodologies used for PRS construction, and describe steps for the development and evaluation of risk prediction models that include PRS and/or conventional risk factors. Potential utility of PRSs in cancer risk prediction, screening, and precision prevention are illustrated. Challenges and practical considerations relevant to the implementation of PRSs in health care settings are discussed.
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Affiliation(s)
- Yuzhuo Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Medical Informatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
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Guan Z, Shen R, Begg CB. Exome-Wide Pan-Cancer Analysis of Germline Variants in 8,719 Individuals Finds Little Evidence of Rare Variant Associations. Hum Hered 2021; 86:34-44. [PMID: 34718237 DOI: 10.1159/000519355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/30/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Many cancer types show considerable heritability, and extensive research has been done to identify germline susceptibility variants. Linkage studies have discovered many rare high-risk variants, and genome-wide association studies (GWAS) have discovered many common low-risk variants. However, it is believed that a considerable proportion of the heritability of cancer remains unexplained by known susceptibility variants. The "rare variant hypothesis" proposes that much of the missing heritability lies in rare variants that cannot reliably be detected by linkage analysis or GWAS. Until recently, high sequencing costs have precluded extensive surveys of rare variants, but technological advances have now made it possible to analyze rare variants on a much greater scale. OBJECTIVES In this study, we investigated associations between rare variants and 14 cancer types. METHODS We ran association tests using whole-exome sequencing data from The Cancer Genome Atlas (TCGA) and validated the findings using data from the Pan-Cancer Analysis of Whole Genomes Consortium (PCAWG). RESULTS We identified four significant associations in TCGA, only one of which was replicated in PCAWG (BRCA1 and ovarian cancer). CONCLUSIONS Our results provide little evidence in favor of the rare variant hypothesis. Much larger sample sizes may be needed to detect undiscovered rare cancer variants.
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Affiliation(s)
- Zoe Guan
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Ronglai Shen
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Colin B Begg
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
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35
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Momen M, Kohler NL, Binversie EE, Dentino M, Sample SJ. Heritability and genetic variance estimation of Osteosarcoma (OSA) in Irish Wolfhound, using deep pedigree information. Canine Med Genet 2021; 8:9. [PMID: 34627404 PMCID: PMC8502365 DOI: 10.1186/s40575-021-00109-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/22/2021] [Indexed: 11/27/2022] Open
Abstract
Background Osteosarcoma (OSA) is a devastating disease that is common in the Irish Wolfhound breed. The aim of this study was to use a pedigree-based approach to determine the heritability of OSA in the Irish Wolfhound using data from a large publically available database. Results The pedigree used for this study included 5110 pure-bred Irish Wolfhounds, including 332 dogs diagnosed with OSA and 360 control dogs; dogs were considered controls if they lived over 10 years of age and were not reported to have developed OSA. The estimated heritability of OSA in the Irish Wolfhound was 0.65. Conclusion The results of this study indicate that OSA in the Irish Wolfhound is highly heritable, and support the need for future research investigating associated genetic mutations. Osteosarcoma is a devastating condition that is prevalent in the Irish Wolfhound breed. In this study, our aim was to estimate heritability of osteosarcoma in the Irish Wolfhound breed. We undertook a pedigree-based analysis to estimate heritability of osteosarcoma in the Irish Wolfhound. The pedigree used included 5110 pure-bred Irish Wolfhounds, including 332 dogs diagnosed with osteosarcoma and 360 control dogs. We considered dogs to be controls if they were over 10 years of age and were not reported to have developed osteosarcoma. This study found the heritability estimate of osteosarcoma in the Irish Wolfhound to be 0.65. This score means that osteosarcoma in this breed is: 1) highly heritable and 2) a complex trait, which means that both environmental and genetic factors influence disease risk. Overall, our results provide support for further investigation into the genetic variants involved in the development of osteosarcoma in Irish Wolfhounds.
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Affiliation(s)
- Mehdi Momen
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA
| | - Nyah L Kohler
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA
| | - Emily E Binversie
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA
| | | | - Susannah J Sample
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, 2015 Linden Drive, Madison, WI, 53706, USA.
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Wang T, Lu H, Zeng P. Identifying pleiotropic genes for complex phenotypes with summary statistics from a perspective of composite null hypothesis testing. Brief Bioinform 2021; 23:6375058. [PMID: 34571531 DOI: 10.1093/bib/bbab389] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/06/2021] [Accepted: 08/28/2021] [Indexed: 12/13/2022] Open
Abstract
Pleiotropy has important implication on genetic connection among complex phenotypes and facilitates our understanding of disease etiology. Genome-wide association studies provide an unprecedented opportunity to detect pleiotropic associations; however, efficient pleiotropy test methods are still lacking. We here consider pleiotropy identification from a methodological perspective of high-dimensional composite null hypothesis and propose a powerful gene-based method called MAIUP. MAIUP is constructed based on the traditional intersection-union test with two sets of independent P-values as input and follows a novel idea that was originally proposed under the high-dimensional mediation analysis framework. The key improvement of MAIUP is that it takes the composite null nature of pleiotropy test into account by fitting a three-component mixture null distribution, which can ultimately generate well-calibrated P-values for effective control of family-wise error rate and false discover rate. Another attractive advantage of MAIUP is its ability to effectively address the issue of overlapping subjects commonly encountered in association studies. Simulation studies demonstrate that compared with other methods, only MAIUP can maintain correct type I error control and has higher power across a wide range of scenarios. We apply MAIUP to detect shared associated genes among 14 psychiatric disorders with summary statistics and discover many new pleiotropic genes that are otherwise not identified if failing to account for the issue of composite null hypothesis testing. Functional and enrichment analyses offer additional evidence supporting the validity of these identified pleiotropic genes associated with psychiatric disorders. Overall, MAIUP represents an efficient method for pleiotropy identification.
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Affiliation(s)
- Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Haojie Lu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.,Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.,Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
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37
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Brandes N, Linial N, Linial M. Genetic association studies of alterations in protein function expose recessive effects on cancer predisposition. Sci Rep 2021; 11:14901. [PMID: 34290314 PMCID: PMC8295298 DOI: 10.1038/s41598-021-94252-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 06/28/2021] [Indexed: 02/06/2023] Open
Abstract
The characterization of germline genetic variation affecting cancer risk, known as cancer predisposition, is fundamental to preventive and personalized medicine. Studies of genetic cancer predisposition typically identify significant genomic regions based on family-based cohorts or genome-wide association studies (GWAS). However, the results of such studies rarely provide biological insight or functional interpretation. In this study, we conducted a comprehensive analysis of cancer predisposition in the UK Biobank cohort using a new gene-based method for detecting protein-coding genes that are functionally interpretable. Specifically, we conducted proteome-wide association studies (PWAS) to identify genetic associations mediated by alterations to protein function. With PWAS, we identified 110 significant gene-cancer associations in 70 unique genomic regions across nine cancer types and pan-cancer. In 48 of the 110 PWAS associations (44%), estimated gene damage is associated with reduced rather than elevated cancer risk, suggesting a protective effect. Together with standard GWAS, we implicated 145 unique genomic loci with cancer risk. While most of these genomic regions are supported by external evidence, our results also highlight many novel loci. Based on the capacity of PWAS to detect non-additive genetic effects, we found that 46% of the PWAS-significant cancer regions exhibited exclusive recessive inheritance. These results highlight the importance of recessive genetic effects, without relying on familial studies. Finally, we show that many of the detected genes exert substantial cancer risk in the studied cohort determined by a quantitative functional description, suggesting their relevance for diagnosis and genetic consulting.
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Affiliation(s)
- Nadav Brandes
- grid.9619.70000 0004 1937 0538The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nathan Linial
- grid.9619.70000 0004 1937 0538The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michal Linial
- grid.9619.70000 0004 1937 0538Department of Biological Chemistry, The Alexander Silberman Institute of Life Science, The Hebrew University of Jerusalem, Jerusalem, Israel
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38
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Contextualizing genetic risk score for disease screening and rare variant discovery. Nat Commun 2021; 12:4418. [PMID: 34285202 PMCID: PMC8292385 DOI: 10.1038/s41467-021-24387-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 06/07/2021] [Indexed: 11/08/2022] Open
Abstract
Studies of the genetic basis of complex traits have demonstrated a substantial role for common, small-effect variant polygenic burden (PB) as well as large-effect variants (LEV, primarily rare). We identify sufficient conditions in which GWAS-derived PB may be used for well-powered rare pathogenic variant discovery or as a sample prioritization tool for whole-genome or exome sequencing. Through extensive simulations of genetic architectures and generative models of disease liability with parameters informed by empirical data, we quantify the power to detect, among cases, a lower PB in LEV carriers than in non-carriers. Furthermore, we uncover clinically useful conditions wherein the risk derived from the PB is comparable to the LEV-derived risk. The resulting summary-statistics-based methodology (with publicly available software, PB-LEV-SCAN) makes predictions on PB-based LEV screening for 36 complex traits, which we confirm in several disease datasets with available LEV information in the UK Biobank, with important implications on clinical decision-making.
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Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O’Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gockel I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG ADVANCES 2021; 2:100041. [PMID: 34355204 PMCID: PMC8336922 DOI: 10.1016/j.xhgg.2021.100041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/04/2021] [Indexed: 12/23/2022] Open
Abstract
Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we collected GWAS summary statistics based on up to 375,468 cancer cases and 530,521 controls for fourteen types of cancer, including breast (overall, estrogen receptor [ER]-positive, and ER-negative), colorectal, endometrial, esophageal, glioma, head/neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancer, to characterize the shared genetic basis of cancer risk. We identified thirteen pairs of cancers with statistically significant local genetic correlations across eight distinct genomic regions. Specifically, the 5p15.33 region, harboring the TERT and CLPTM1L genes, showed statistically significant local genetic correlations for multiple cancer pairs. We conducted a cross-cancer fine-mapping of the 5p15.33 region based on eight cancers that showed genome-wide significant associations in this region (ER-negative breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, and prostate cancer). We used an iterative analysis pipeline implementing a subset-based meta-analysis approach based on cancer-specific conditional analyses and identified ten independent cross-cancer associations within this region. For each signal, we conducted cross-cancer fine-mapping to prioritize the most plausible causal variants. Our findings provide a more in-depth understanding of the shared inherited basis across human cancers and expand our knowledge of the 5p15.33 region in carcinogenesis.
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Affiliation(s)
- Hongjie Chen
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Arunabha Majumdar
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
| | - Lu Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Siddhartha Kar
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kevin M. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Helian Feng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
| | - Jacques Simard
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
| | - Breast Cancer Association Consortium (BCAC)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Iona C. Cheng
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
| | - Jeroen R. Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie L. Schmit
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Colorectal Transdisciplinary Study (CORECT)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Colon Cancer Family Registry Study (CCFR)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tracy A. O’Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Amanda B. Spurdle
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Endometrial Cancer Association Consortium (ECAC)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Puya Gharahkhani
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | | | - Janusz Jankowski
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
| | - Esophageal Cancer GWAS Consortium
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Melissa L. Bondy
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
| | - Richard S. Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Robert B. Jenkins
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
| | - Beatrice Melin
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Glioma International Case Control Consortium (GICC)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Corina Lesseur
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Andy R. Ness
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Andrew F. Olshan
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Head-Neck Cancer GWAS Consortium
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Christopher I. Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - David C. Christiani
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Maria T. Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - James D. McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - International Lung Cancer Consortium (ILCCO)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Myriam Brossard
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Mark M. Iles
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - Matthew H. Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Melanoma GWAS Consortium
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jonathan Beesley
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Michelle R. Jones
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jonathan Tyrer
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Stacey J. Winham
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Ovarian Cancer Association Consortium (OCAC)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alison P. Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Gloria Petersen
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brian M. Wolpin
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
| | - Pancreatic Cancer Case-Control Consortium (PANC4)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Pancreatic Cancer Cohort Consortium (PanScan)
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Rosalind A. Eeles
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Christopher A. Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Zsofia Kote-Jarai
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
| | - Fredrick R. Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
| | - PRACTICAL consortium
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - CRUK
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - BPC3
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - CAPS
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - PEGASUS
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Paul Brennan
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Valerie Gaborieau
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Renal Cancer GWAS Consortium
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Mathematics, Indian Institute of Technology Hyderabad, Kandi, Telangana, India
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus
- Cyprus School of Molecular Medicine, Nicosia, Cyprus
- Department of Molecular Medicine, Faculty of Medicine, Université Laval and Centre de recherche du CHU de Québec-Université Laval, Québec, QC, Canada
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia
- Center for Human Genetics, University Hospital of Marburg, Marburg, Germany
- College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, UAE
- Comprehensive Clinical Trials Unit, University College London, London, UK
- Department of Visceral, Transplant, Thoracic, and Vascular Surgery, University Hospital of Leipzig, Leipzig, Germany
- Department of Epidemiology and Population Health, Stanford University, Palo Alto, CA, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Department of Laboratory Medicine and Pathology, Mayo Clinic Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA
- Department of Radiation Sciences, Umeå University, Umeå, Sweden
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- International Agency for Research on Cancer, World Health Organization, Lyon, France
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Genetic Epidemiology and Functional Genomics of Multifactorial Diseases Team, Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS-1124, Université Paris Descartes, Paris, France
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, QLD, Australia
- Center for Bioinformatics and Functional Genomics, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Oncology, University of Cambridge, Cambridge, UK
- Department of Health Science Research, Mayo Clinic, Rochester, MN, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Medical Oncology, Dana Farber Harvard Cancer Center, Boston, MA, USA
- Oncogenetics Team, Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Cancer Genetics Unit, Royal Marsden NHS Foundation Trust, London, UK
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA
- Seidman Cancer Center, University Hospitals, Cleveland, OH, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Paul Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Rayjean J. Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Laufey T. Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Bogdan Pasaniuc
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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Lavacchi D, Landini I, Perrone G, Roviello G, Mini E, Nobili S. Pharmacogenetics in diffuse large B-cell lymphoma treated with R-CHOP: Still an unmet challenge. Pharmacol Ther 2021; 229:107924. [PMID: 34175369 DOI: 10.1016/j.pharmthera.2021.107924] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/19/2021] [Accepted: 05/24/2021] [Indexed: 02/07/2023]
Abstract
DLBCL is the most common lymphoma representing approximately one third of all non-Hodgkin lymphomas and about 40% of patients do not benefit of the standard first-line immune-chemotherapeutic treatment (i.e., R-CHOP - rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) that is administered as upfront therapy to substantially all patients independently from the stage of disease and other prognostic parameters. The administration of other pharmacological treatments is in fact limited to selected patients, unfitting for R-CHOP. Although clinical prognostic scores, i.e. International Prognostic Index (IPI), and molecular classifiers based on the cell of origin are available, at present no biomarkers predictive of R-CHOP response has been identified and validated. Constitutional polymorphisms of genes involved in the mechanism of action of drugs included in R-CHOP have been suggested by many authors to play a role in the efficacy and in some case in the toxicity of this treatment. Thus, it is conceivable that in the future, after proper validation, some polymorphisms can be used as pharmacogenetic biomarkers of therapeutic outcome in this disease setting. This review discusses the status of the art on molecular biomarkers predictive of DLBCL prognosis and deals with the relevant issue of the variability in response to DLBCL drug treatment. Overall, this review focuses on single nucleotide polymorphisms (SNPs) that, based on a candidate gene approach or on a GWAS analysis, have been suggested to play a role in response to R-CHOP. In particular, SNPs discovered by a candidate gene approach are related to gene involved in drug transport (i.e. ATP-binding cassette transporters), drug metabolism, drug detoxification enzymes, oxidative stress, apoptosis, DNA repair, immunity and angiogenesis. Data from a GWAS analysis performed in DLBCL patients treated with R-CHOP, identified two SNPs associated with clinical outcomes related to genes involved in pivotal cellular processes and in transcriptional regulation and cell cycle progression, respectively. Ongoing prospective pharmacogenetic clinical trials, including a GWAS study we performed, have also been discussed.
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Affiliation(s)
- Daniele Lavacchi
- Clinical Oncology Unit, Careggi University Hospital, Florence, Italy
| | - Ida Landini
- Department of Health Sciences, University of Florence, Florence, Italy; DENOTHE Excellence Center, University of Florence, Florence, Italy
| | - Gabriele Perrone
- Department of Health Sciences, University of Florence, Florence, Italy; DENOTHE Excellence Center, University of Florence, Florence, Italy
| | - Giandomenico Roviello
- Department of Health Sciences, University of Florence, Florence, Italy; DENOTHE Excellence Center, University of Florence, Florence, Italy
| | - Enrico Mini
- Department of Health Sciences, University of Florence, Florence, Italy; DENOTHE Excellence Center, University of Florence, Florence, Italy; Cancer Pharmacology Working Group of the Italian Society of Pharmacology, Milan, Italy.
| | - Stefania Nobili
- Cancer Pharmacology Working Group of the Italian Society of Pharmacology, Milan, Italy; Department of Neurosciences, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.
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41
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Behrouzfar K, Burton K, Mutsaers SE, Morahan G, Lake RA, Fisher SA. How to Better Understand the Influence of Host Genetics on Developing an Effective Immune Response to Thoracic Cancers. Front Oncol 2021; 11:679609. [PMID: 34235080 PMCID: PMC8256168 DOI: 10.3389/fonc.2021.679609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 05/31/2021] [Indexed: 01/02/2023] Open
Abstract
Thoracic cancers pose a significant global health burden. Immune checkpoint blockade therapies have improved treatment outcomes, but durable responses remain limited. Understanding how the host immune system interacts with a developing tumor is essential for the rational development of improved treatments for thoracic malignancies. Recent technical advances have improved our understanding of the mutational burden of cancer cells and changes in cancer-specific gene expression, providing a detailed understanding of the complex biology underpinning tumor-host interactions. While there has been much focus on the genetic alterations associated with cancer cells and how they may impact treatment outcomes, how host genetics affects cancer development is also critical and will greatly determine treatment response. Genome-wide association studies (GWAS) have identified genetic variants associated with cancer predisposition. This approach has successfully identified host genetic risk factors associated with common thoracic cancers like lung cancer, but is less effective for rare cancers like malignant mesothelioma. To assess how host genetics impacts rare thoracic cancers, we used the Collaborative Cross (CC); a powerful murine genetic resource designed to maximize genetic diversity and rapidly identify genes associated with any biological trait. We are using the CC in conjunction with our asbestos-induced MexTAg mouse model, to identify host genes associated with mesothelioma development. Once genes that moderate tumor development and progression are known, human homologues can be identified and human datasets interrogated to validate their association with disease outcome. Furthermore, our CC-MexTAg animal model enables in-depth study of the tumor microenvironment, allowing the correlation of immune cell infiltration and gene expression signatures with disease development. This strategy provides a detailed picture of the underlying biological pathways associated with mesothelioma susceptibility and progression; knowledge that is crucial for the rational development of new diagnostic and therapeutic strategies. Here we discuss the influence of host genetics on developing an effective immune response to thoracic cancers. We highlight current knowledge gaps, and with a focus on mesothelioma, describe the development and application of the CC-MexTAg to overcome limitations and illustrate how the knowledge gained from this unique study will inform the rational design of future treatments of mesothelioma.
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Affiliation(s)
- Kiarash Behrouzfar
- National Centre for Asbestos Related Diseases (NCARD), University of Western Australia, Nedlands, WA, Australia
- School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Kimberley Burton
- National Centre for Asbestos Related Diseases (NCARD), University of Western Australia, Nedlands, WA, Australia
- School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
| | - Steve E. Mutsaers
- School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
- Institute for Respiratory Health, University of Western Australia, Nedlands, WA, Australia
| | - Grant Morahan
- Centre for Diabetes Research, Harry Perkins Institute of Medical Research, Nedlands, WA, Australia
| | - Richard A. Lake
- National Centre for Asbestos Related Diseases (NCARD), University of Western Australia, Nedlands, WA, Australia
| | - Scott A. Fisher
- National Centre for Asbestos Related Diseases (NCARD), University of Western Australia, Nedlands, WA, Australia
- School of Biomedical Sciences, University of Western Australia, Nedlands, WA, Australia
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Wang J, Clay-Gilmour AI, Karaesmen E, Rizvi A, Zhu Q, Yan L, Preus L, Liu S, Wang Y, Griffiths E, Stram DO, Pooler L, Sheng X, Haiman C, Van Den Berg D, Webb A, Brock G, Spellman S, Pasquini M, McCarthy P, Allan J, Stölzel F, Onel K, Hahn T, Sucheston-Campbell LE. Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility. Front Genet 2021; 12:554948. [PMID: 34220922 PMCID: PMC8248805 DOI: 10.3389/fgene.2021.554948] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 04/19/2021] [Indexed: 12/22/2022] Open
Abstract
The role of common genetic variation in susceptibility to acute myeloid leukemia (AML), and myelodysplastic syndrome (MDS), a group of rare clonal hematologic disorders characterized by dysplastic hematopoiesis and high mortality, remains unclear. We performed AML and MDS genome-wide association studies (GWAS) in the DISCOVeRY-BMT cohorts (2,309 cases and 2,814 controls). Association analysis based on subsets (ASSET) was used to conduct a summary statistics SNP-based analysis of MDS and AML subtypes. For each AML and MDS case and control we used PrediXcan to estimate the component of gene expression determined by their genetic profile and correlate this imputed gene expression level with risk of developing disease in a transcriptome-wide association study (TWAS). ASSET identified an increased risk for de novo AML and MDS (OR = 1.38, 95% CI, 1.26-1.51, Pmeta = 2.8 × 10-12) in patients carrying the T allele at s12203592 in Interferon Regulatory Factor 4 (IRF4), a transcription factor which regulates myeloid and lymphoid hematopoietic differentiation. Our TWAS analyses showed increased IRF4 gene expression is associated with increased risk of de novo AML and MDS (OR = 3.90, 95% CI, 2.36-6.44, Pmeta = 1.0 × 10-7). The identification of IRF4 by both GWAS and TWAS contributes valuable insight on the role of genetic variation in AML and MDS susceptibility.
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Affiliation(s)
- Junke Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Alyssa I. Clay-Gilmour
- Department of Epidemiology, Mayo Clinic, Rochester, MN, United States
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Ezgi Karaesmen
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Abbas Rizvi
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Qianqian Zhu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Li Yan
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Leah Preus
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Yiwen Wang
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Elizabeth Griffiths
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Daniel O. Stram
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Loreall Pooler
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Xin Sheng
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Christopher Haiman
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - David Van Den Berg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States
| | - Amy Webb
- Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Guy Brock
- Department on Biomedical Informatics, The Ohio State University, Columbus, OH, United States
| | - Stephen Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN, United States
| | - Marcelo Pasquini
- Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Philip McCarthy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - James Allan
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Friedrich Stölzel
- Department of Internal Medicine I, University Hospital Carl Gustav Carus Dresden, Technical University Dresden, Dresden, Germany
| | - Kenan Onel
- Department of Pediatrics, Mount Sinai Medical Center, Miami Beach, NY, United States
| | - Theresa Hahn
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Lara E. Sucheston-Campbell
- College of Pharmacy, The Ohio State University, Columbus, OH, United States
- College of Veterinary Medicine, The Ohio State University, Columbus, OH, United States
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Koutros S, Decker KL, Baris D, Pardo LA, Johnson A, Hosain GM, Rothman N, Karagas MR, Schwenn MR, Silverman DT. Bladder cancer risk associated with family history of cancer. Int J Cancer 2021; 148:2915-2923. [PMID: 33506540 PMCID: PMC10294142 DOI: 10.1002/ijc.33486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 12/11/2020] [Accepted: 12/17/2020] [Indexed: 11/07/2022]
Abstract
Twin studies suggest a familial aggregation of bladder cancer, but elements of this increased familial risk of bladder cancer are not well understood. To characterize familial risk of bladder cancer, we examined the relationship between family history of bladder and other types of cancer among first-degree relatives and risk of bladder cancer in 1193 bladder cancer cases and 1418 controls in a large population-based case-control study. Multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between family history of bladder cancer (defined as at least one first-degree family member with bladder cancer or a cancer of any other site). We also evaluated cancer aggregation of specific sites in family members. Participants with a first-degree relative with bladder cancer had nearly double the risk of bladder cancer (OR = 1.8, 95% CI 1.2-2.9) as those without a family history of bladder cancer. Risk was increased for having a sibling with bladder cancer (OR = 2.6, 95% CI 1.3-5.3) compared to no siblings with cancer. Bladder cancer risk was elevated when participants reported a first-degree relative with a history of female genital cancer (OR = 1.5, 95% CI 1.1-2.1), melanoma (OR = 1.9, 95% CI 1.02-3.6), and tobacco-associated cancer (OR = 1.3, 95% CI 1.06-1.6). These findings add to evidence of a familial predisposition to bladder cancer. Clarification of the aggregation of bladder cancer in families and with other cancer sites will be of interest as many loci and common polymorphisms related to bladder cancer have yet to be identified in large genomic studies.
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Affiliation(s)
- Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Kathy L. Decker
- University of Southern Maine, Muskie School of Public Policy, Augusta, ME, USA
- Formerly of the Maine Department of Health and Human Services, Maine Cancer Registry, Augusta, ME, USA
| | - Dalsu Baris
- Formerly of the Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Larissa A. Pardo
- Formerly of the Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | | | - G.M Monawar Hosain
- Formerly of the Bureau of Public Health Statistics and Informatics, Department of Health and Human Services, Concord, NH, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Molly R. Schwenn
- Formerly of the Maine Department of Health and Human Services, Maine Cancer Registry, Augusta, ME, USA
| | - Debra T. Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
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44
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Qin N, Li Y, Wang C, Zhu M, Dai J, Hong T, Albanes D, Lam S, Tardon A, Chen C, Goodman G, Bojesen SE, Landi MT, Johansson M, Risch A, Wichmann HE, Bickeboller H, Rennert G, Arnold S, Brennan P, Field JK, Shete S, Le Marchand L, Melander O, Brunnstrom H, Liu G, Hung RJ, Andrew A, Kiemeney LA, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Woll P, Lazarus P, Schabath MB, Aldrich MC, Stevens VL, Jin G, Christiani DC, Hu Z, Amos CI, Ma H, Shen H. Comprehensive functional annotation of susceptibility variants identifies genetic heterogeneity between lung adenocarcinoma and squamous cell carcinoma. Front Med 2021; 15:275-291. [PMID: 32889700 PMCID: PMC8374896 DOI: 10.1007/s11684-020-0779-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2019] [Accepted: 03/05/2020] [Indexed: 12/12/2022]
Abstract
Although genome-wide association studies have identified more than eighty genetic variants associated with non-small cell lung cancer (NSCLC) risk, biological mechanisms of these variants remain largely unknown. By integrating a large-scale genotype data of 15 581 lung adenocarcinoma (AD) cases, 8350 squamous cell carcinoma (SqCC) cases, and 27 355 controls, as well as multiple transcriptome and epigenomic databases, we conducted histology-specific meta-analyses and functional annotations of both reported and novel susceptibility variants. We identified 3064 credible risk variants for NSCLC, which were overrepresented in enhancer-like and promoter-like histone modification peaks as well as DNase I hypersensitive sites. Transcription factor enrichment analysis revealed that USF1 was AD-specific while CREB1 was SqCC-specific. Functional annotation and gene-based analysis implicated 894 target genes, including 274 specifics for AD and 123 for SqCC, which were overrepresented in somatic driver genes (ER = 1.95, P = 0.005). Pathway enrichment analysis and Gene-Set Enrichment Analysis revealed that AD genes were primarily involved in immune-related pathways, while SqCC genes were homologous recombination deficiency related. Our results illustrate the molecular basis of both well-studied and new susceptibility loci of NSCLC, providing not only novel insights into the genetic heterogeneity between AD and SqCC but also a set of plausible gene targets for post-GWAS functional experiments.
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Affiliation(s)
- Na Qin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yuancheng Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Tongtong Hong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892-9304, USA
| | - Stephen Lam
- Department of Integrative Oncology, British Columbia Cancer Agency, Vancouver, BC, V5Z 1L3, Canada
| | - Adonina Tardon
- Faculty of Medicine, University of Oviedo and CIBERESP, Oviedo, 33006, Spain
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
| | - Gary Goodman
- Public Health Sciences Division, Swedish Cancer Institute, Seattle, WA, 98026, USA
| | - Stig E Bojesen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Copenhagen, DK-1017, Denmark
| | | | - Mattias Johansson
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, 69372, France
| | - Angela Risch
- Cancer Center Cluster Salzburg at PLUS, Department of Molecular Biology, University of Salzburg, Heidelberg, 5020, Austria
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig Maximilians University, Munich, Bavaria, 80539, Germany
| | - Heike Bickeboller
- Department of Genetic Epidemiology, University Medical Center Goettingen, Goettingen, 37075, Germany
| | - Gadi Rennert
- Technion Faculty of Medicine, Carmel Medical Center, Haifa, 3448516, Israel
| | - Susanne Arnold
- Markey Cancer Center, University of Kentucky, Lexington, KY, 40506-0054, USA
| | - Paul Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, 69372, France
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, Roy Castle Lung Cancer Research Programme, The University of Liverpool Institute of Translational Medicine, Liverpool, L69 7ZX, UK
| | - Sanjay Shete
- Department of Epidemiology, The University of Texas, MD Anderson Cancer Center, Houston, TX, 77079, USA
| | - Loic Le Marchand
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA
| | - Olle Melander
- Department of Clinical Sciences, Lund University, BMC F12, 221 84, Lund, Sweden
| | - Hans Brunnstrom
- Department of Clinical Sciences, Lund University, BMC F12, 221 84, Lund, Sweden
| | - Geoffrey Liu
- Epidemiology Division, Princess Margaret Cancer Center, Toronto, ON, M4Y 2H8, Canada
| | - Rayjean J Hung
- Epidemiology Division, Lunenfeld-Tanenbuaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
| | - Angeline Andrew
- Department of Neurology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA
| | - Lambertus A Kiemeney
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, 9101 6500, HB, Germany
| | - Shan Zienolddiny
- National Institute of Occupational Health (STAMI), Oslo, Pb 5330, Norway
| | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umea, 901 87, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Umeå University, Umea, 901 87, Sweden
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850, USA
| | - Penella Woll
- Academic Unit of Clinical Oncology, University of Sheffield, Sheffield, S10 2TN, UK
| | - Philip Lazarus
- College of Pharmacy, Washington State University, Spokane, WA, 99210, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 12902, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Victoria L Stevens
- Department of Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30303, USA
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - David C Christiani
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Environmental Health, Harvard School of Public Health, Department of Medicine, Harvard Medical School/Massachusetts General Hospital, Boston, MA, 02115, USA
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, TX, 21202, USA
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China.
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, 211166, China.
- China International Cooperation Center for Environment and Human Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Stang A, McMaster ML, Sesterhenn IA, Rapley E, Huddart R, Heimdal K, McGlynn KA, Oosterhuis JW, Greene MH. Histological Features of Sporadic and Familial Testicular Germ Cell Tumors Compared and Analysis of Age-Related Changes of Histology. Cancers (Basel) 2021; 13:cancers13071652. [PMID: 33916078 PMCID: PMC8037944 DOI: 10.3390/cancers13071652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 03/18/2021] [Accepted: 03/23/2021] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Testicular germ cell tumors (TGCT) are highly heritable, and earlier studies reported a higher prevalence of certain microscopic features in familial cases compared with sporadic cases. Reasoning by analogy relative to different causal genes for different histologic subtypes of familial kidney cancer, we searched for etiologically informative histopathology associations in familial testicular germ cell cancer. We conducted a detailed, blinded pathology review of familial and sporadic TGCT cases to investigate whether we could identify differences between these two patient subsets and to study the effect of age at diagnosis on histologic features in both groups combined. Our results show no specific histologic differences between familial and sporadic TGCTs. However, we observed histologic features that varied with age at diagnosis among the two groups combined. Thus, our results suggest that there are no histological differences between familial and sporadic TGCT that might identify genetically distinct disease subsets. Abstract This study aimed to compare histological features of familial and sporadic testicular germ cell tumors (TGCTs) and surrounding parenchyma, since discriminating features might be etiologically relevant and clinically useful. The study of parenchyma was prompted by reports claiming a higher prevalence of testicular microlithiasis in familial cases. Histological features of TGCTs and surrounding parenchyma of 296 sporadic and 305 familial cases were compared. For each case, one representative hematoxylin and eosin-stained slide was available. Slides were independently scored by two expert pathologists using a semi-quantitative data abstract. Discrepancies were resolved by consensus. A logistic regression model was used to assess the ability to discriminate between sporadic and familial GCT. The histological composition of a tumor, amount of lymphocytic infiltration, amount of germ cell neoplasia in situ (GCNIS), and presence of testicular microlithiasis (TM) did not discriminate between sporadic and familial GCT (area under the curve 0.56, 95%CI 0.51–0.61). Novel observations included increasing lymphocytic infiltration and decreasing GCNIS and TM with increasing age at diagnosis. The presence of tubules with infiltrating lymphocytes was mainly associated with pure seminomas and nonseminomas with a seminoma component. Among seminomas, tubules with infiltrating lymphocytes decreased with increasing age. No discernable differences between sporadic and familial TGCTs were found. The age-related changes in the tumors and surrounding parenchyma in these groups combined are consistent with a host response building up over time predominantly affecting seminomas, the seminoma-component of nonseminomas and GCNIS. TM may gradually dissolve with age. Our hypothesis that histological differences between sporadic and familial TGCT might identify genetically distinct disease subsets was not supported.
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Affiliation(s)
- Andreas Stang
- Institut für Medizinische Informatik, Biometrie und Epidemiologie, Universitätsklinikum Essen, 45147 Essen, Germany;
- School of Public Health, Department of Epidemiology, Boston University, Boston, MA 02118, USA
| | - Mary L. McMaster
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA;
- Correspondence: ; Tel.: +1-240-276-7248
| | | | - Elizabeth Rapley
- Division of Genetics and Epidemiology, Institute for Cancer Research, London SM7 1DN, UK;
| | - Robert Huddart
- Division of Radiotherapy and Imaging, Institute for Cancer Research, London SM7 1DN, UK;
| | - Ketil Heimdal
- Department of Medical Genetics, Oslo University Hospital Rikshospitalet, 0027 Oslo, Norway;
| | - Katherine A. McGlynn
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA;
| | - Jan Wolter Oosterhuis
- Department of Pathology, Josephine Nefkens Institute, Erasmus University Medical Center, 3000 DR Rotterdam, The Netherlands;
| | - Mark H. Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA;
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Bugain M, Dimech Y, Torzhenskaya N, Thiebaut de Schotten M, Caspers S, Muscat R, Bajada CJ. Occipital Intralobar fasciculi: a description, through tractography, of three forgotten tracts. Commun Biol 2021; 4:433. [PMID: 33785859 PMCID: PMC8010026 DOI: 10.1038/s42003-021-01935-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 03/03/2021] [Indexed: 02/01/2023] Open
Abstract
Diffusion MRI paired with tractography has facilitated a non-invasive exploration of many association, projection, and commissural fiber tracts. However, there is still a scarcity of research studies related to intralobar association fibers. The Dejerines' (two of the most notable neurologists of 19th century France) gave an in-depth description of the intralobar fibers of the occipital lobe. Unfortunately, their exquisite work has since been sparsely cited in the modern literature. This work gives a modern description of many of the occipital intralobar lobe fibers described by the Dejerines. We perform a virtual dissection and reconstruct the tracts using diffusion MRI tractography. The dissection is guided by the Dejerines' treatise, Anatomie des Centres Nerveux. As an accompaniment to this article, we provided a French-to-English translation of the treatise portion concerning five intra-occipital tracts, namely: the stratum calcarinum, the stratum proprium cunei, the vertical occipital fasciculus of Wernicke, the transverse fasciculus of the cuneus and the transverse fasciculus of the lingual lobule of Vialet. It was possible to reconstruct all but one of these tracts. For completeness, the recently described sledge runner fasciculus, although not one of the Dejerines' tracts, was identified and successfully reconstructed.
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Affiliation(s)
- Maeva Bugain
- grid.4462.40000 0001 2176 9482Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, The University of Malta, Msida, Malta
| | - Yana Dimech
- grid.4462.40000 0001 2176 9482Department of Cognitive Sciences, Faculty of Media and Knowledge Sciences, The University of Malta, Msida, Malta
| | - Natalia Torzhenskaya
- grid.4462.40000 0001 2176 9482Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, The University of Malta, Msida, Malta
| | - Michel Thiebaut de Schotten
- grid.462844.80000 0001 2308 1657Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France ,grid.4444.00000 0001 2112 9282Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives -UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Svenja Caspers
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany ,grid.411327.20000 0001 2176 9917Institute for Anatomy I, Medical Faculty, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany
| | - Richard Muscat
- grid.4462.40000 0001 2176 9482Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, The University of Malta, Msida, Malta
| | - Claude J. Bajada
- grid.4462.40000 0001 2176 9482Department of Physiology and Biochemistry, Faculty of Medicine and Surgery, The University of Malta, Msida, Malta ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany
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47
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Fanfani V, Citi L, Harris AL, Pezzella F, Stracquadanio G. The Landscape of the Heritable Cancer Genome. Cancer Res 2021; 81:2588-2599. [PMID: 33731442 DOI: 10.1158/0008-5472.can-20-3348] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/15/2021] [Accepted: 03/02/2021] [Indexed: 12/24/2022]
Abstract
Genome-wide association studies (GWAS) have found hundreds of single-nucleotide polymorphisms (SNP) associated with increased risk of cancer. However, the amount of heritable risk explained by SNPs is limited, leaving most of the cancer heritability unexplained. Tumor sequencing projects have shown that causal mutations are enriched in genic regions. We hypothesized that SNPs located in protein coding genes and nearby regulatory regions could explain a significant proportion of the heritable risk of cancer. To perform gene-level heritability analysis, we developed a new method, called Bayesian Gene Heritability Analysis (BAGHERA), to estimate the heritability explained by all genotyped SNPs and by those located in genic regions using GWAS summary statistics. BAGHERA was specifically designed for low heritability traits such as cancer and provides robust heritability estimates under different genetic architectures. BAGHERA-based analysis of 38 cancers reported in the UK Biobank showed that SNPs explain at least 10% of the heritable risk for 14 of them, including late onset malignancies. We then identified 1,146 genes, called cancer heritability genes (CHG), explaining a significant proportion of cancer heritability. CHGs were involved in hallmark processes controlling the transformation from normal to cancerous cells. Importantly, 60 of them also harbored somatic driver mutations, and 27 are tumor suppressors. Our results suggest that germline and somatic mutation information could be exploited to identify subgroups of individuals at higher risk of cancer in the broader population and could prove useful to establish strategies for early detection and cancer surveillance. SIGNIFICANCE: This study describes a new statistical method to identify genes associated with cancer heritability in the broader population, creating a map of the heritable cancer genome with gene-level resolution.See related commentary by Bader, p. 2586.
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Affiliation(s)
- Viola Fanfani
- Institute of Quantitative Biology, Biochemistry, and Biotechnology, SynthSys, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Luca Citi
- School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom
| | - Adrian L Harris
- Molecular Oncology Laboratories, Department of Oncology, The Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom
| | - Francesco Pezzella
- Department of Clinical Laboratory Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Giovanni Stracquadanio
- Institute of Quantitative Biology, Biochemistry, and Biotechnology, SynthSys, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
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Graff RE, Cavazos TB, Thai KK, Kachuri L, Rashkin SR, Hoffman JD, Alexeeff SE, Blatchins M, Meyers TJ, Leong L, Tai CG, Emami NC, Corley DA, Kushi LH, Ziv E, Van Den Eeden SK, Jorgenson E, Hoffmann TJ, Habel LA, Witte JS, Sakoda LC. Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts. Nat Commun 2021; 12:970. [PMID: 33579919 PMCID: PMC7880989 DOI: 10.1038/s41467-021-21288-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 01/19/2021] [Indexed: 02/07/2023] Open
Abstract
Even distinct cancer types share biological hallmarks. Here, we investigate polygenic risk score (PRS)-specific pleiotropy across 16 cancers in European ancestry individuals from the Genetic Epidemiology Research on Adult Health and Aging cohort (16,012 cases, 50,552 controls) and UK Biobank (48,969 cases, 359,802 controls). Within cohorts, each PRS is evaluated in multivariable logistic regression models against all other cancer types. Results are then meta-analyzed across cohorts. Ten positive and one inverse cross-cancer associations are found after multiple testing correction. Two pairs show bidirectional associations; the melanoma PRS is positively associated with oral cavity/pharyngeal cancer and vice versa, whereas the lung cancer PRS is positively associated with oral cavity/pharyngeal cancer, and the oral cavity/pharyngeal cancer PRS is inversely associated with lung cancer. Overall, we validate known, and uncover previously unreported, patterns of pleiotropy that have the potential to inform investigations of risk prediction, shared etiology, and precision cancer prevention strategies.
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Affiliation(s)
- Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Khanh K Thai
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Joshua D Hoffman
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Maruta Blatchins
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Lancelote Leong
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Caroline G Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Nima C Emami
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Urology, University of California San Francisco, San Francisco, CA, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. .,Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. .,Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA. .,Department of Urology, University of California San Francisco, San Francisco, CA, USA.
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA. .,Department of Health System Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
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Ginsburg O, Ashton-Prolla P, Cantor A, Mariosa D, Brennan P. The role of genomics in global cancer prevention. Nat Rev Clin Oncol 2021; 18:116-128. [PMID: 32973296 DOI: 10.1038/s41571-020-0428-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2020] [Indexed: 02/07/2023]
Abstract
Despite improvements in the understanding of cancer causation, much remains unknown regarding the mechanisms by which genomic and non-genomic factors initiate carcinogenesis, drive cell invasion and metastasis, and enable cancer to develop. Technological advances have enabled the analysis of whole genomes, comprising thousands of tumours across populations worldwide, with the aim of identifying mutation signatures associated with particular tumour types. Large collaborative efforts have resulted in the identification and improved understanding of causal factors, and have shed light on new opportunities to prevent cancer. In this new era in cancer genomics, discoveries from studies conducted on an international scale can inform evidence-based strategies in cancer control along the cancer care continuum, from prevention to treatment. In this Review, we present the relevant history and emerging frontiers of cancer genetics and genomics from the perspective of global cancer prevention. We highlight the importance of local context in the adoption of new technologies and emergent evidence, with illustrative examples from worldwide. We emphasize the challenges in implementing important genomic findings in clinical settings with disparate resource availability and present a conceptual framework for the translation of such findings into clinical practice, and evidence-based policies in order to maximize the utility for a population.
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Affiliation(s)
- Ophira Ginsburg
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA.
- Section for Global Health, Division of Health and Behavior, Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
| | - Patricia Ashton-Prolla
- Centro de Pesquisa Experimental, Hospital de Clínicas de Porto Alegre and Departamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Anna Cantor
- Perlmutter Cancer Center, NYU Langone Health, New York, NY, USA
| | | | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
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50
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Vogel MME, Dewes S, Sage EK, Devecka M, Gschwend JE, Schiller K, Combs SE. Patterns of care for prostate cancer radiotherapy-results from a survey among German-speaking radiation oncologists. Strahlenther Onkol 2021; 197:962-970. [PMID: 33506347 PMCID: PMC8547211 DOI: 10.1007/s00066-020-01738-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 12/09/2020] [Indexed: 12/16/2022]
Abstract
Background Emerging moderately hypofractionated and ultra-hypofractionated schemes for radiotherapy (RT) of prostate cancer (PC) have resulted in various treatment options. The aim of this survey was to evaluate recent patterns of care of German-speaking radiation oncologists for RT of PC. Methods We developed an online survey which we distributed via e‑mail to all registered members of the German Society of Radiation Oncology (DEGRO). The survey was completed by 109 participants between March 3 and April 3, 2020. For evaluation of radiation dose, we used the equivalent dose at fractionation of 2 Gy with α/β = 1.5 Gy, equivalent dose (EQD2 [1.5 Gy]). Results Median EQD2(1.5 Gy) for definitive RT of the prostate is 77.60 Gy (range: 64.49–84.00) with median single doses (SD) of 2.00 Gy (range: 1.80–3.00), while for postoperative RT of the prostate bed, median EQD2(1.5 Gy) is 66.00 Gy (range: 60.00–74.00) with median SD of 2.00 Gy (range: 1.80–2.00). For definitive RT, the pelvic lymph nodes (LNs) are treated in case of suspect findings in imaging (82.6%) and/or according to risk formulas/tables (78.0%). In the postoperative setting, 78.9% use imaging and 78.0% use the postoperative tumor stage for LN irradiation. In the definitive and postoperative situation, LNs are irradiated with a median EQD2(1.5 Gy) of 47.52 Gy with a range of 42.43–66.00 and 41.76–62.79, respectively. Conclusion German-speaking radiation oncologists’ patterns of care for patients with PC are mainly in line with the published data and treatment recommendation guidelines. However, dose prescription is highly heterogenous for RT of the prostate/prostate bed, while the dose to the pelvic LNs is mainly consistent. Supplementary Information The online version of this article (10.1007/s00066-020-01738-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Marco M. E. Vogel
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
- Institute for Radiation Medicine (IRM), Department of Radiation Sciences (DRS), Helmholtz Zentrum München, Neuherberg, Germany
| | - Sabrina Dewes
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
| | - Eva K. Sage
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
| | - Michal Devecka
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
| | - Jürgen E. Gschwend
- Department of Urology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Kilian Schiller
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
| | - Stephanie E. Combs
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Ismaninger Straße 22, 81675 Munich, Germany
- Institute for Radiation Medicine (IRM), Department of Radiation Sciences (DRS), Helmholtz Zentrum München, Neuherberg, Germany
- Partner Site Munich, Deutsches Konsortium für Translationale Krebsforschung (DKTK), Munich, Germany
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