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Li B, Huang Q, Wei GH. The Role of HOX Transcription Factors in Cancer Predisposition and Progression. Cancers (Basel) 2019; 11:cancers11040528. [PMID: 31013831 PMCID: PMC6520925 DOI: 10.3390/cancers11040528] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 04/08/2019] [Accepted: 04/10/2019] [Indexed: 12/12/2022] Open
Abstract
Homeobox (HOX) transcription factors, encoded by a subset of homeodomain superfamily genes, play pivotal roles in many aspects of cellular physiology, embryonic development, and tissue homeostasis. Findings over the past decade have revealed that mutations in HOX genes can lead to increased cancer predisposition, and HOX genes might mediate the effect of many other cancer susceptibility factors by recognizing or executing altered genetic information. Remarkably, several lines of evidence highlight the interplays between HOX transcription factors and cancer risk loci discovered by genome-wide association studies, thereby gaining molecular and biological insight into cancer etiology. In addition, deregulated HOX gene expression impacts various aspects of cancer progression, including tumor angiogenesis, cell autophagy, proliferation, apoptosis, tumor cell migration, and metabolism. In this review, we will discuss the fundamental roles of HOX genes in cancer susceptibility and progression, highlighting multiple molecular mechanisms of HOX involved gene misregulation, as well as their potential implications in clinical practice.
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Affiliation(s)
- Bo Li
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao 266237, China.
| | - Qilai Huang
- Shandong Provincial Key Laboratory of Animal Cell and Developmental Biology, School of Life Sciences, Shandong University, Qingdao 266237, China.
| | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, 90220 Oulu, Finland.
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Shi Z, Yu H, Wu Y, Lin X, Bao Q, Jia H, Perschon C, Duggan D, Helfand BT, Zheng SL, Xu J. Systematic evaluation of cancer-specific genetic risk score for 11 types of cancer in The Cancer Genome Atlas and Electronic Medical Records and Genomics cohorts. Cancer Med 2019; 8:3196-3205. [PMID: 30968590 PMCID: PMC6558466 DOI: 10.1002/cam4.2143] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 03/01/2019] [Accepted: 03/18/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Genetic risk score (GRS) is an odds ratio (OR)-weighted and population-standardized method for measuring cumulative effect of multiple risk-associated single nucleotide polymorphisms (SNPs). We hypothesize that GRS is a valid tool for risk assessment of most common cancers. METHODS Utilizing genotype and phenotype data from The Cancer Genome Atlas (TCGA) and Electronic Medical Records and Genomics (eMERGE), we tested 11 cancer-specific GRSs (bladder, breast, colorectal, glioma, lung, melanoma, ovarian, pancreatic, prostate, renal, and thyroid cancer) for association with the respective cancer type. Cancer-specific GRSs were calculated, for the first time in these cohorts, based on previously published risk-associated SNPs using the Caucasian subjects in these two cohorts. RESULTS Mean cancer-specific GRS in the population controls of eMERGE approximated the expected value of 1.00 (between 0.98 and 1.02) for all 11 types of cancer. Mean cancer-specific GRS was consistently higher in respective cancer patients than controls for all 11 types of cancer (P < 0.05). When subjects were categorized into low-, average-, and high-risk groups based on cancer-specific GRS (<0.5, 0.5-1.5, and >1.5, respectively), significant dose-response associations of higher cancer-specific GRS with higher OR of respective type of cancer were found for nine types of cancer (P-trend < 0.05). More than 64% subjects in the population controls of eMERGE can be classified as high risk for at least one type of these cancers. CONCLUSION Validity of GRS for predicting cancer risk is demonstrated for most types of cancer. If confirmed in larger studies, cancer-specific GRS may have the potential for developing personalized cancer screening strategy.
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Affiliation(s)
- Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois.,State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Hongjie Yu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Yishuo Wu
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoling Lin
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Quanwa Bao
- State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China
| | - Haifei Jia
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chelsea Perschon
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - David Duggan
- Translational Genomics Research Institute, Phoenix, Arizona
| | - Brian T Helfand
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Siqun L Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois.,State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, China.,Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
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103
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Bien SA, Su YR, Conti DV, Harrison TA, Qu C, Guo X, Lu Y, Albanes D, Auer PL, Banbury BL, Berndt SI, Bézieau S, Brenner H, Buchanan DD, Caan BJ, Campbell PT, Carlson CS, Chan AT, Chang-Claude J, Chen S, Connolly CM, Easton DF, Feskens EJM, Gallinger S, Giles GG, Gunter MJ, Hampe J, Huyghe JR, Hoffmeister M, Hudson TJ, Jacobs EJ, Jenkins MA, Kampman E, Kang HM, Kühn T, Küry S, Lejbkowicz F, Le Marchand L, Milne RL, Li L, Li CI, Lindblom A, Lindor NM, Martín V, McNeil CE, Melas M, Moreno V, Newcomb PA, Offit K, Pharaoh PDP, Potter JD, Qu C, Riboli E, Rennert G, Sala N, Schafmayer C, Scacheri PC, Schmit SL, Severi G, Slattery ML, Smith JD, Trichopoulou A, Tumino R, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Weinstein SJ, White E, Wolk A, Woods MO, Wu AH, Abecasis GR, Casey G, Nickerson DA, Gruber SB, Hsu L, Zheng W, Peters U. Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer. Hum Genet 2019; 138:307-326. [PMID: 30820706 PMCID: PMC6483948 DOI: 10.1007/s00439-019-01989-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 02/20/2019] [Indexed: 02/02/2023]
Abstract
Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we used reference datasets from colon (n = 169) and whole blood (n = 922) transcriptomes to test CRC association with genetically determined expression levels in a genome-wide analysis of 12,186 cases and 14,718 controls. Three novel associations were discovered from colon transverse models at FDR ≤ 0.2 and further evaluated in an independent replication including 32,825 cases and 39,933 controls. After adjusting for multiple comparisons, we found statistically significant associations using colon transcriptome models with TRIM4 (discovery P = 2.2 × 10- 4, replication P = 0.01), and PYGL (discovery P = 2.3 × 10- 4, replication P = 6.7 × 10- 4). Interestingly, both genes encode proteins that influence redox homeostasis and are related to cellular metabolic reprogramming in tumors, implicating a novel CRC pathway linked to cell growth and proliferation. Defining CRC risk regions as one megabase up- and downstream of one of the 56 independent risk variants, we defined 44 non-overlapping CRC-risk regions. Among these risk regions, we identified genes associated with CRC (P < 0.05) in 34/44 CRC-risk regions. Importantly, CRC association was found for two genes in the previously reported 2q25 locus, CXCR1 and CXCR2, which are potential cancer therapeutic targets. These findings provide strong candidate genes to prioritize for subsequent laboratory follow-up of GWAS loci. This study is the first to implement PrediXcan in a large colorectal cancer study and findings highlight the utility of integrating transcriptome data in GWAS for discovery of, and biological insight into, risk loci.
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Affiliation(s)
- Stephanie A Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
| | - Yu-Ru Su
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - David V Conti
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Tabitha A Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Conghui Qu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Xingyi Guo
- Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Yingchang Lu
- Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Paul L Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53205, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Barbara L Banbury
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Stéphane Bézieau
- Centre Hospitalier Universitaire Hotel-Dieu, 44093, Nantes, France
- Service de Génétique Médiczle, Centre Hospitalier Universitaire (CHU), 44093, Nantes, France
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), 69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), 69120, Heidelberg, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
- Colorectal Oncogenomics Group, Department of Pathology, University of Melbourne, Melbourne, VIC, 3010, Australia
- Genetic Medicine and Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, VIC, 3010, Australia
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program of Northern California, Oakland, CA, 94612, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30329-4251, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Christopher S Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
- Genetic Tumour Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg, 20246, Hamburg, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Sai Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Charles M Connolly
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care School of Clinical Medicine, University of Cambridge, Cambridge, England, 01223, UK
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Edith J M Feskens
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON, 1X5, Canada
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, 3004, Australia
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Marc J Gunter
- Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, TU Dresden, 01307, Dresden, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Jeroen R Huyghe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- AbbVie Inc, 1500 Seaport Blvd, Redwood City, CA, 94063, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30329-4251, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Ellen Kampman
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Hyun Min Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Sébastien Küry
- Centre Hospitalier Universitaire Hotel-Dieu, 44093, Nantes, France
- Service de Génétique Médiczle, Centre Hospitalier Universitaire (CHU), 44093, Nantes, France
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Flavio Lejbkowicz
- Clalit Health Services National Israeli Cancer Control Center, 34361, Haifa, Israel
- Department of Community Medicine and Epidemiology, Carmel Medical Center, 34361, Haifa, Israel
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Loic Le Marchand
- University of Hawai'i Cancer Center, Honolulu, Hawaii, 96813, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, 3004, Australia
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Li Li
- Department of Family Medicine and Community Health, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Christopher I Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital Solna, 171 77, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet Solna, 171 77, Stockholm, Sweden
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic Arizona, Scottsdale, AZ, 85259, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Vicente Martín
- Biomedicine Institute (IBIOMED), University of León, León, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Caroline E McNeil
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Marilena Melas
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Victor Moreno
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08028, Barcelona, Spain
- University of Barcelona, 08007, Barcelona, Spain
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Polly A Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Kenneth Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Paul D P Pharaoh
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB2 1TN, UK
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - John D Potter
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Chenxu Qu
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Gad Rennert
- Clalit Health Services National Israeli Cancer Control Center, 34361, Haifa, Israel
- Department of Community Medicine and Epidemiology, Carmel Medical Center, 34361, Haifa, Israel
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Núria Sala
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
- Molecular Epidemiology Group, Translational Research Laboratory, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, 08908, Barcelona, Spain
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, 24118, Kiel, Germany
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Inc, Tampa, FL, 33612, USA
- Department of Gastrointestinal Oncology, H. Lee Moffitt Cancer Center and Research Institute, Inc, Tampa, FL, 33612, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Gianluca Severi
- Centre for Research in Epidemiology and Population Health, Institut de Cancérologie Gustave Roussy, Villejuif, France
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Joshua D Smith
- Department Genome Sciences, University of Washington, 98195, Seattle, WA, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, 115 27, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, 115 27, Athens, Greece
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Rosario Tumino
- Affiliation Cancer Registry, Department of Prevention, Azienda Sanitaria Provinciale di Ragusa, Ragusa, Italy
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Cornelia M Ulrich
- Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, 84112, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Fränzel J B van Duijnhoven
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Bethany Van Guelpen
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, 20892, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet Solna, 17177, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, 75121, Uppsala, Sweden
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Michael O Woods
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, Saint John's, NL, A1B 3V6, Canada
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Anna H Wu
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Goncalo R Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Graham Casey
- Centre for Research in Epidemiology and Population Health, Institut de Cancérologie Gustave Roussy, Villejuif, France
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Deborah A Nickerson
- Department Genome Sciences, University of Washington, 98195, Seattle, WA, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN, 37232, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA
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104
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Gunter MJ, Alhomoud S, Arnold M, Brenner H, Burn J, Casey G, Chan AT, Cross AJ, Giovannucci E, Hoover R, Houlston R, Jenkins M, Laurent-Puig P, Peters U, Ransohoff D, Riboli E, Sinha R, Stadler ZK, Brennan P, Chanock SJ. Meeting report from the joint IARC-NCI international cancer seminar series: a focus on colorectal cancer. Ann Oncol 2019; 30:510-519. [PMID: 30721924 PMCID: PMC6503626 DOI: 10.1093/annonc/mdz044] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Despite significant progress in our understanding of the etiology, biology and genetics of colorectal cancer, as well as important clinical advances, it remains the third most frequently diagnosed cancer worldwide and is the second leading cause of cancer death. Based on demographic projections, the global burden of colorectal cancer would be expected to rise by 72% from 1.8 million new cases in 2018 to over 3 million in 2040 with substantial increases anticipated in low- and middle-income countries. In this meeting report, we summarize the content of a joint workshop led by the National Cancer Institute and the International Agency for Research on Cancer, which was held to summarize the important achievements that have been made in our understanding of colorectal cancer etiology, genetics, early detection and treatment and to identify key research questions that remain to be addressed.
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Affiliation(s)
- M J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France.
| | - S Alhomoud
- King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - M Arnold
- Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, Division of Preventive Oncology and German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg; National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - J Burn
- Institute of Genetic Medicine, Newcastle University, Newcastle, UK
| | - G Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - A T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, USA
| | - A J Cross
- School of Public Health, Imperial College London, London, UK
| | | | - R Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - R Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - M Jenkins
- Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, Australia
| | - P Laurent-Puig
- SIRIC CARPEM, APHP European Georges Pompidou Hospital Paris, Universite Paris Descartes, Paris, France
| | - U Peters
- Public Health Science Division, Fred Hutchinson Cancer Research Center, Seattle
| | - D Ransohoff
- Lineberger Comprehensive Cancer Center, UNC School of Medicine, University of North Carolina, Chapel Hill
| | - E Riboli
- School of Public Health, Imperial College London, London, UK
| | - R Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
| | - Z K Stadler
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - P Brennan
- Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - S J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
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105
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Xin J, Du M, Gu D, Ge Y, Li S, Chu H, Meng Y, Shen H, Zhang Z, Wang M. Combinations of single nucleotide polymorphisms identified in genome-wide association studies determine risk for colorectal cancer. Int J Cancer 2019; 145:2661-2669. [PMID: 30859566 DOI: 10.1002/ijc.32267] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 02/27/2019] [Accepted: 03/06/2019] [Indexed: 12/29/2022]
Abstract
Genome-wide association studies (GWASs) have identified single nucleotide polymorphisms (SNPs) associated with colorectal cancer (CRC) risk, but whether these SNPs have additive effects on the risk of CRC remains unclear. We performed a systematic analysis of GWAS-identified SNPs using GWAS datasets from China (2,248 patients and 3,173 controls) and Europe (4,461 patients and 4,140 controls). We analyzed 58 independent variants from DNA samples from Chinese populations and found 19 SNPs that were significantly associated with CRC risk. We identified two genetic risk scores (GRSs) based on 58 and 19 SNPs, which were significantly associated with an increased risk of CRC. A decision curve analysis showed higher predictive power for the 58 SNPs. Using all the 58 SNPs to assess 5-year absolute risk (AR), we found that, at a cutoff of 0.4% (two times the median AR) and 0.6% (three times the median AR), approximately 32.76 and 16.45% of Chinese individuals were grouped as high risk for developing CRC, respectively. Risk stratification analysis further indicated that the population in the top 30% risk group accounted for 46.71% of the CRC cases. In addition, the 58 SNPs could explain approximately 1.13% of the phenotypic variance in Chinese populations. Similar findings were found in European populations. Combinations of SNPs identified in GWASs may therefore be useful for identifying individuals at high risk for CRC.
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Affiliation(s)
- Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, 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, 211166, China
| | - Mulong Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.,Joint Laboratory of Health and Environmental Risk Assessment (HERA), Nanjing Medical University School of Public Health / Harvard School of Public Health, Nanjing, 211166, China
| | - Dongying Gu
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China
| | - Yuqiu Ge
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Shuwei Li
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Yixuan Meng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, 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, 211166, China
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, 211166, 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, 211166, China
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106
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Liu S, Dong H, Wu J, Wang C. Association of an miR-502-binding site polymorphism in the 3'-untranslated region of SET8 with colorectal cancer. Oncol Lett 2019; 17:3960-3964. [PMID: 30881512 DOI: 10.3892/ol.2019.10026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 11/07/2018] [Indexed: 01/04/2023] Open
Abstract
The histone methyltransferase SET8 is regulated by microRNA-502 through the binding site in its 3'-untranslated region, and the rs16917496 polymorphism at the miR-502-binding site in the SET8 gene has been implicated in a number of cancer types. The rs16917496 polymorphism including CC, CT and TT genotypes was analyzed in patients with colorectal cancer; the CC genotype was identified to be independently associated with longer post-operative survival times using multivariate analysis (relative risk, 2.406; 95% confidence interval, 1.017-5.691; P=0.046). In addition, decreased SET8 expression was associated with the SET8 CC genotype and longer survival times for patients with colorectal cancer. The results of the present study indicated that miR-502 mediates SET8 expression at least partly by altering the binding affinity between miR-502 and SET8 so as to modify the colorectal cancer outcome. The results indicate that SET8 may be a novel target for colorectal cancer therapy.
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Affiliation(s)
- Shuang Liu
- Department of Pathology, Bethune International Peace Hospital, Shijiazhuang, Hebei 050082, P.R. China
| | - Hailing Dong
- Department of Gastroenterology and Hepatology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Jianhua Wu
- Animal Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
| | - Cuiju Wang
- Department of Gynaecology Ultrasound, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, P.R. China
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107
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Huang T, Wang T, Heianza Y, Zheng Y, Sun D, Kang JH, Pasquale LR, Rimm EB, Manson JE, Hu FB, Qi L. Habitual consumption of long-chain n-3 PUFAs and fish attenuates genetically associated long-term weight gain. Am J Clin Nutr 2019; 109:665-673. [PMID: 30629107 PMCID: PMC6408206 DOI: 10.1093/ajcn/nqy238] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 07/25/2018] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND A growing amount of data suggests that n-3 (ω-3) polyunsaturated fatty acid (PUFA) intake may modify the genetic association with weight change. OBJECTIVES We aimed to prospectively test interactions of habitual consumption of n-3 PUFAs or fish, the major food source, with overall genetic susceptibility on long-term weight change. DESIGN Gene-diet interactions were examined in 11,330 women from the Nurses' Health Study (NHS), 6773 men from the Health Professionals Follow-Up Study (HPFS), and 6254 women from the Women's Health Initiative (WHI). RESULTS In the NHS and HPFS cohorts, food-sourced long-chain n-3 PUFA intake showed directionally consistent interactions with genetic risk score on long-term changes in BMI (P-interaction = 0.01 in the HPFS, 0.15 in the NHS, and 0.01 in both cohorts combined). Such interactions were successfully replicated in the WHI, an independent cohort (P-interaction = 0.02 in the WHI and 0.01 in the combined 3 cohorts). The genetic associations with changes in BMI (in kg/m2) consistently decreased (0.15, 0.10, 0.07, and -0.14 per 10 BMI-increasing alleles) across the quartiles of long-chain n-3 PUFAs in the combined cohorts. In addition, high fish intake also attenuated the genetic associations with long-term changes in BMI in the HPFS (P-interaction = 0.01), NHS (P-interaction = 0.03), WHI (P-interaction = 0.10), and the combined cohorts (P-interaction = 0.01); and the differences in BMI changes per 10 BMI-increasing alleles were 0.16, 0.06, -0.08, and -0.18, respectively, across the categories (≤1, 1∼4, 4∼6, and ≥7 servings/wk) of total fish intake. Similar interactions on body weight were observed for fish intake (P-interaction = 0.003) and long-chain n-3 PUFA intake (P-interaction = 0.12). CONCLUSION Our study provides replicable evidence to show that high intakes of fish and long-chain n-3 PUFAs are associated with an attenuation of the genetic association with long-term weight gain based on results from 3 prospective cohorts of Caucasians.
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Affiliation(s)
- Tao Huang
- Department of Epidemiology and Biostatistics, Beijing, China,Department of Global Health, School of Public Health, Beijing, China,Global Health Institute, Peking University, Beijing, China,Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education, Beijing, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute and School of Life Sciences, Fudan University, Shanghai, China
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Jae H Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Louis R Pasquale
- Department of Nutrition, Boston, MA,Department of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, MA
| | - Eric B Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA,Department of Nutrition, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA,Department of Nutrition, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA,Department of Nutrition, Boston, MA,Department of Epidemiology, Harvard School of Public Health, Boston, MA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA,Department of Nutrition, Boston, MA,Address correspondence to LQ (e-mail: )
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108
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Zhang Z, Zhang J, Fan C, Tang Y, Deng L. KATZLGO: Large-Scale Prediction of LncRNA Functions by Using the KATZ Measure Based on Multiple Networks. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2019; 16:407-416. [PMID: 28534780 DOI: 10.1109/tcbb.2017.2704587] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Aggregating evidences have shown that long non-coding RNAs (lncRNAs) generally play key roles in cellular biological processes such as epigenetic regulation, gene expression regulation at transcriptional and post-transcriptional levels, cell differentiation, and others. However, most lncRNAs have not been functionally characterized. There is an urgent need to develop computational approaches for function annotation of increasing available lncRNAs. In this article, we propose a global network-based method, KATZLGO, to predict the functions of human lncRNAs at large scale. A global network is constructed by integrating three heterogeneous networks: lncRNA-lncRNA similarity network, lncRNA-protein association network, and protein-protein interaction network. The KATZ measure is then employed to calculate similarities between lncRNAs and proteins in the global network. We annotate lncRNAs with Gene Ontology (GO) terms of their neighboring protein-coding genes based on the KATZ similarity scores. The performance of KATZLGO is evaluated on a manually annotated lncRNA benchmark and a protein-coding gene benchmark with known function annotations. KATZLGO significantly outperforms state-of-the-art computational method both in maximum F-measure and coverage. Furthermore, we apply KATZLGO to predict functions of human lncRNAs and successfully map 12,318 human lncRNA genes to GO terms.
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109
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Tanikawa C, Kamatani Y, Takahashi A, Momozawa Y, Leveque K, Nagayama S, Mimori K, Mori M, Ishii H, Inazawa J, Yasuda J, Tsuboi A, Shimizu A, Sasaki M, Yamaji T, Sawada N, Iwasaki M, Tsugane S, Naito M, Wakai K, Koyama T, Takezaki T, Yuji K, Murakami Y, Nakamura Y, Kubo M, Matsuda K. GWAS identifies two novel colorectal cancer loci at 16q24.1 and 20q13.12. Carcinogenesis 2019; 39:652-660. [PMID: 29471430 DOI: 10.1093/carcin/bgy026] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 02/13/2018] [Indexed: 12/18/2022] Open
Abstract
Colorectal cancer (CRC) is the fourth leading cause of cancer mortality worldwide. Genome-wide association studies (GWAS) identified more than 50 CRC loci. However, most of the previous studies were conducted in European population, and host genetic factors among Japanese population are largely remained to be identified. To identify novel loci in the Japanese population, here, we performed a large-scale GWAS using 6692 cases and 27 178 controls followed by a replication analysis using more than 11 000 case-control samples. We found the significant association of 10 loci (P < 5 × 10-8), including 2 novel loci on 16q24.1 (IRF8-FOXF1, rs847208, P = 3.15 × 10-9 and odds ratio = 1.107 with 95% confidence interval (CI) of 1.071-1.145) and 20q13.12 (TOX2, rs6065668, P = 4.47 × 10-11 and odds ratio = 0.897 with 95% CI of 0.868-0.926). Moreover, 35 previously reported single nucleotide polymorphisms (SNPs) in 24 regions were validated in the Japanese population (P < 0.05) with the same risk allele as in the previous studies. SNP rs6065668 was significantly associated with TOX2 expression in the sigmoid colon. In addition, nucleotide substitutions in the regulatory region of TOX2 were predicted to alter the binding of several transcription factors, including KLF5. Our findings elucidate the important role of genetic variations in the development of CRC in the Japanese population.
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Affiliation(s)
- Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan.,Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | - Karine Leveque
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.,Oncology Master Progam, University Claude Bernard, Lyon I, Lyon, France
| | - Satoshi Nagayama
- Department of Gastroenterology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Koshi Mimori
- Department of Surgery and Molecular Oncology, Medical Institute of Bioregulation, Kyushu University, Oita, Japan
| | - Masaki Mori
- Department of Gastroenterological Surgery and Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hideshi Ishii
- Department of Medical Data Science, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Johji Inazawa
- Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akito Tsuboi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Iwate, Japan
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Mariko Naito
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toshiro Takezaki
- Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Koichiro Yuji
- Project Division of International Advanced Medical Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yusuke Nakamura
- Department of Medicine, The University of Chicago, IL, USA.,Department of Surgery, The University of Chicago, IL, USA.,Center for Personalized Therapeutics, The University of Chicago, IL, USA
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Kanagawa, Japan
| | - Koichi Matsuda
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan.,Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
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110
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Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, Greenside P, Wainberg M, Schumacher FR, Smith JD, Levine DM, Nelson SC, Sinnott-Armstrong NA, Albanes D, Alonso MH, Anderson K, Arnau-Collell C, Arndt V, Bamia C, Banbury BL, Baron JA, Berndt SI, Bézieau S, Bishop DT, Boehm J, Boeing H, Brenner H, Brezina S, Buch S, Buchanan DD, Burnett-Hartman A, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castellví-Bel S, Chan AT, Chang-Claude J, Chanock SJ, Chirlaque MD, Cho SH, Connolly CM, Cross AJ, Cuk K, Curtis KR, de la Chapelle A, Doheny KF, Duggan D, Easton DF, Elias SG, Elliott F, English DR, Feskens EJM, Figueiredo JC, Fischer R, FitzGerald LM, Forman D, Gala M, Gallinger S, Gauderman WJ, Giles GG, Gillanders E, Gong J, Goodman PJ, Grady WM, Grove JS, Gsur A, Gunter MJ, Haile RW, Hampe J, Hampel H, Harlid S, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Hsu WL, Huang WY, Hudson TJ, Hunter DJ, Ibañez-Sanz G, Idos GE, Ingersoll R, Jackson RD, Jacobs EJ, Jenkins MA, Joshi AD, Joshu CE, Keku TO, Key TJ, Kim HR, Kobayashi E, Kolonel LN, Kooperberg C, Kühn T, Küry S, Kweon SS, Larsson SC, Laurie CA, Le Marchand L, Leal SM, Lee SC, Lejbkowicz F, Lemire M, Li CI, Li L, Lieb W, Lin Y, Lindblom A, Lindor NM, Ling H, Louie TL, Männistö S, Markowitz SD, Martín V, Masala G, McNeil CE, Melas M, Milne RL, Moreno L, Murphy N, Myte R, Naccarati A, Newcomb PA, Offit K, Ogino S, Onland-Moret NC, Pardini B, Parfrey PS, Pearlman R, Perduca V, Pharoah PDP, Pinchev M, Platz EA, Prentice RL, Pugh E, Raskin L, Rennert G, Rennert HS, Riboli E, Rodríguez-Barranco M, Romm J, Sakoda LC, Schafmayer C, Schoen RE, Seminara D, Shah M, Shelford T, Shin MH, Shulman K, Sieri S, Slattery ML, Southey MC, Stadler ZK, Stegmaier C, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Thomas SS, Toland AE, Trichopoulou A, Ulrich CM, Van Den Berg DJ, van Duijnhoven FJB, Van Guelpen B, van Kranen H, Vijai J, Visvanathan K, Vodicka P, Vodickova L, Vymetalkova V, Weigl K, Weinstein SJ, White E, Win AK, Wolf CR, Wolk A, Woods MO, Wu AH, Zaidi SH, Zanke BW, Zhang Q, Zheng W, Scacheri PC, Potter JD, Bassik MC, Kundaje A, Casey G, Moreno V, Abecasis GR, Nickerson DA, Gruber SB, Hsu L, Peters U. Discovery of common and rare genetic risk variants for colorectal cancer. Nat Genet 2019; 51:76-87. [PMID: 30510241 PMCID: PMC6358437 DOI: 10.1038/s41588-018-0286-6] [Citation(s) in RCA: 333] [Impact Index Per Article: 66.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 10/22/2018] [Indexed: 12/17/2022]
Abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
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Affiliation(s)
- Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Sai Chen
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Stephanie L Schmit
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - David V Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Christopher K Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Peyton Greenside
- Biomedical Informatics Program, Stanford University, Stanford, CA, USA
| | - Michael Wainberg
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Joshua D Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David M Levine
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - M Henar Alonso
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Kristin Anderson
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Coral Arnau-Collell
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Juergen Boehm
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - 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
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Stephan Buch
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | | | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, CA, USA
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Christopher S Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria-Dolores Chirlaque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Sang Hee Cho
- Department of Hematology-Oncology, Chonnam National University Hospital, Hwasun, South Korea
| | - Charles M Connolly
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Katarina Cuk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Keith R Curtis
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Albert de la Chapelle
- Department of Cancer Biology and Genetics and the Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Kimberly F Doheny
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David Duggan
- Translational Genomics Research Institute - An Affiliate of City of Hope, Phoenix, AZ, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Sjoerd G Elias
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Faye Elliott
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Rocky Fischer
- University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA
| | - Liesel M FitzGerald
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - David Forman
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Manish Gala
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - W James Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Elizabeth Gillanders
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Jian Gong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - John S Grove
- University of Hawaii Cancer Research Center, Honolulu, HI, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert W Haile
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Philipp Hofer
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Wan-Ling Hsu
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gemma Ibañez-Sanz
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Gastroenterology Department, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Gregory E Idos
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roxann Ingersoll
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Rebecca D Jackson
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Eric J Jacobs
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Hyeong Rok Kim
- Department of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, Korea
| | - Emiko Kobayashi
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Laurence N Kolonel
- Office of Public Health Studies, University of Hawaii Manoa, Honolulu, HI, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Suzanne M Leal
- Center for Statistical Genetics, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Soo Chin Lee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Flavio Lejbkowicz
- The Clalit Health Services, Personalized Genomic Service, Carmel, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Li Li
- Center for Community Health Integration and Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Wolfgang Lieb
- Institute of Epidemiology, PopGen Biobank, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Hua Ling
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Tin L Louie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Sanford D Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University, and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Vicente Martín
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Biomedicine Institute (IBIOMED), University of León, León, Spain
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute of Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Caroline E McNeil
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Marilena Melas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Lorena Moreno
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robin Myte
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Alessio Naccarati
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Barbara Pardini
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Patrick S Parfrey
- The Clinical Epidemiology Unit, Memorial University Medical School, Newfoundland, Canada
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Vittorio Perduca
- Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France
- CESP (Inserm U1018), Facultés de Medicine Université Paris-Sud, UVSQ, Université Paris-Saclay, Gustave Roussy, Villejuif, France
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mila Pinchev
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Leon Raskin
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hedy S Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Miguel Rodríguez-Barranco
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Escuela Andaluza de Salud Pública. Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada, Universidad de Granada, Granada, Spain
| | - Jane Romm
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Mitul Shah
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Tameka Shelford
- Center for Inherited Disease Research (CIDR), Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Korea
| | | | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Melissa C Southey
- Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Duncan C Thomas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sushma S Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - David J Van Den Berg
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Henk van Kranen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Korbinian Weigl
- 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
- Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Aung Ko Win
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - C Roland Wolf
- School of Medicine, University of Dundee, Dundee, Scotland, UK
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Newfoundland, Canada
| | - Anna H Wu
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Brent W Zanke
- Division of Hematology, University of Toronto, Toronto, Ontario, Canada
| | - Qing Zhang
- Genomics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Anshul Kundaje
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Victor Moreno
- Cancer Prevention and Control Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute-IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Goncalo R Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | | | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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Jiraskova K, Hughes DJ, Brezina S, Gumpenberger T, Veskrnova V, Buchler T, Schneiderova M, Levy M, Liska V, Vodenkova S, Di Gaetano C, Naccarati A, Pardini B, Vymetalkova V, Gsur A, Vodicka P. Functional Polymorphisms in DNA Repair Genes Are Associated with Sporadic Colorectal Cancer Susceptibility and Clinical Outcome. Int J Mol Sci 2018; 20:E97. [PMID: 30591675 PMCID: PMC6337670 DOI: 10.3390/ijms20010097] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 12/18/2018] [Accepted: 12/21/2018] [Indexed: 02/06/2023] Open
Abstract
DNA repair processes are involved in both the onset and treatment efficacy of colorectal cancer (CRC). A change of a single nucleotide causing an amino acid substitution in the corresponding protein may alter the efficiency of DNA repair, thus modifying the CRC susceptibility and clinical outcome. We performed a candidate gene approach in order to analyze the association of non-synonymous single nucleotide polymorphisms (nsSNPs) in the genes covering the main DNA repair pathways with CRC risk and clinical outcome modifications. Our candidate polymorphisms were selected according to the foremost genomic and functional prediction databases. Sixteen nsSNPs in 12 DNA repair genes were evaluated in cohorts from the Czech Republic and Austria. Apart from the tumor-node-metastasis (TNM) stage, which occurred as the main prognostic factor in all of the performed analyses, we observed several significant associations of different nsSNPs with survival and clinical outcomes in both cohorts. However, only some of the genes (REV3L, POLQ, and NEIL3) were prominently defined as prediction factors in the classification and regression tree analysis; therefore, the study suggests their association for patient survival. In summary, we provide observational and bioinformatics evidence that even subtle alterations in specific proteins of the DNA repair pathways may contribute to CRC susceptibility and clinical outcome.
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Affiliation(s)
- Katerina Jiraskova
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Albertov 4, 128 00 Prague, Czech Republic.
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Videnska 1083, 142 00 Prague, Czech Republic.
| | - David J Hughes
- Cancer Biology and Therapeutics Group, UCD Conway Institute, University College Dublin, Dublin 4, Ireland.
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Borschkegasse 8a, A-1090 Vienna, Austria.
| | - Tanja Gumpenberger
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Borschkegasse 8a, A-1090 Vienna, Austria.
| | - Veronika Veskrnova
- Department of Oncology, First Faculty of Medicine, Charles University and Thomayer Hospital, Videnska 800, 140 59 Prague, Czech Republic.
| | - Tomas Buchler
- Department of Oncology, First Faculty of Medicine, Charles University and Thomayer Hospital, Videnska 800, 140 59 Prague, Czech Republic.
| | - Michaela Schneiderova
- Department of Surgery, General University Hospital in Prague, U Nemocnice 499/2, 128 08 Prague, Czech Republic.
| | - Miroslav Levy
- Department of Surgery, First Faculty of Medicine, Charles University and Thomayer Hospital, Thomayerova 815/5, 140 00 Prague, Czech Republic.
| | - Vaclav Liska
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University in Prague, 323 00 Pilsen, Czech Republic.
- Department of Surgery, Medical School in Pilsen, Charles University, Alej svobody 80, 304 600 Pilsen, Czech Republic.
| | - Sona Vodenkova
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Albertov 4, 128 00 Prague, Czech Republic.
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Videnska 1083, 142 00 Prague, Czech Republic.
- Department of Medical Genetics, Third Faculty of Medicine, Charles University, Ruska 2411/87, 100 00 Prague, Czech Republic.
| | - Cornelia Di Gaetano
- Molecular and Genetic Epidemiology; Genomic Variation in Human Populations and Complex Diseases, IIGM Italian Institute for Genomic Medicine, Via Nizza 52, 10126 Turin, Italy.
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy.
| | - Alessio Naccarati
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Videnska 1083, 142 00 Prague, Czech Republic.
- Molecular and Genetic Epidemiology; Genomic Variation in Human Populations and Complex Diseases, IIGM Italian Institute for Genomic Medicine, Via Nizza 52, 10126 Turin, Italy.
| | - Barbara Pardini
- Molecular and Genetic Epidemiology; Genomic Variation in Human Populations and Complex Diseases, IIGM Italian Institute for Genomic Medicine, Via Nizza 52, 10126 Turin, Italy.
- Department of Medical Sciences, University of Turin, Corso Dogliotti 14, 10126 Turin, Italy.
| | - Veronika Vymetalkova
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Albertov 4, 128 00 Prague, Czech Republic.
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Videnska 1083, 142 00 Prague, Czech Republic.
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University in Prague, 323 00 Pilsen, Czech Republic.
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Borschkegasse 8a, A-1090 Vienna, Austria.
| | - Pavel Vodicka
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Albertov 4, 128 00 Prague, Czech Republic.
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Videnska 1083, 142 00 Prague, Czech Republic.
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University in Prague, 323 00 Pilsen, Czech Republic.
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Dai JY, Peters U, Wang X, Kocarnik J, Chang-Claude J, Slattery ML, Chan A, Lemire M, Berndt SI, Casey G, Song M, Jenkins MA, Brenner H, Thrift AP, White E, Hsu L. Diagnostics for Pleiotropy in Mendelian Randomization Studies: Global and Individual Tests for Direct Effects. Am J Epidemiol 2018; 187:2672-2680. [PMID: 30188971 PMCID: PMC6269243 DOI: 10.1093/aje/kwy177] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Revised: 05/03/2018] [Accepted: 05/09/2018] [Indexed: 12/29/2022] Open
Abstract
Diagnosing pleiotropy is critical for assessing the validity of Mendelian randomization (MR) analyses. The popular MR-Egger method evaluates whether there is evidence of bias-generating pleiotropy among a set of candidate genetic instrumental variables. In this article, we propose a statistical method-global and individual tests for direct effects (GLIDE)-for systematically evaluating pleiotropy among the set of genetic variants (e.g., single nucleotide polymorphisms (SNPs)) used for MR. As a global test, simulation experiments suggest that GLIDE is nearly uniformly more powerful than the MR-Egger method. As a sensitivity analysis, GLIDE is capable of detecting outliers in individual variant-level pleiotropy, in order to obtain a refined set of genetic instrumental variables. We used GLIDE to analyze both body mass index and height for associations with colorectal cancer risk in data from the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry (multiple studies). Among the body mass index-associated SNPs and the height-associated SNPs, several individual variants showed evidence of pleiotropy. Removal of these potentially pleiotropic SNPs resulted in attenuation of respective estimates of the causal effects. In summary, the proposed GLIDE method is useful for sensitivity analyses and improves the validity of MR.
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Affiliation(s)
- James Y Dai
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Xiaoyu Wang
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jonathan Kocarnik
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Genetic Cancer Epidemiology Group, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Andrew Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Graham Casey
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Mingyang Song
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
| | - Mark A Jenkins
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Aaron P Thrift
- Department of Medicine and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
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113
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Costea T, Hudiță A, Ciolac OA, Gălățeanu B, Ginghină O, Costache M, Ganea C, Mocanu MM. Chemoprevention of Colorectal Cancer by Dietary Compounds. Int J Mol Sci 2018; 19:E3787. [PMID: 30487390 PMCID: PMC6321468 DOI: 10.3390/ijms19123787] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 11/18/2018] [Accepted: 11/23/2018] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer is one of the leading causes of death, and the third most diagnosed type of cancer, worldwide. It is most common amongst men and women over 50 years old. Risk factors include smoking, alcohol, diet, physical inactivity, genetics, alterations in gut microbiota, and associated pathologies (diabetes, obesity, chronic inflammatory bowel diseases). This review will discuss, in detail, the chemopreventive properties of some dietary compounds (phenolic compounds, carotenoids, iridoids, nitrogen compounds, organosulfur compounds, phytosterols, essential oil compounds, polyunsaturated fatty acids and dietary fiber) against colorectal cancer. We present recent data, focusing on in vitro, laboratory animals and clinical trials with the previously mentioned compounds. The chemopreventive properties of the dietary compounds involve multiple molecular and biochemical mechanisms of action, such as inhibition of cell growth, inhibition of tumor initiation, inhibition of adhesion, migration and angiogenesis, apoptosis, interaction with gut microbiota, regulation of cellular signal transduction pathways and xenobiotic metabolizing enzymes, etc. Moreover, this review will also focus on the natural dietary compounds' bioavailability, their synergistic protective effect, as well as the association with conventional therapy. Dietary natural compounds play a major role in colorectal chemoprevention and continuous research in this field is needed.
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Affiliation(s)
- Teodora Costea
- Department of Pharmacognosy, Phytochemistry and Phytotherapy, "Carol Davila" University of Medicine and Pharmacy, 020956 Bucharest, Romania.
| | - Ariana Hudiță
- Department of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.
| | - Oana-Alina Ciolac
- Department of Biophysics, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
| | - Bianca Gălățeanu
- Department of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.
| | - Octav Ginghină
- Department of Surgery, "Sf. Ioan" Emergency Clinical Hospital, 042122 Bucharest, Romania.
- Department II, Faculty of Dental Medicine, "Carol Davila" University of Medicine and Pharmacy, 030167 Bucharest, Romania.
| | - Marieta Costache
- Department of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.
| | - Constanța Ganea
- Department of Biophysics, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
| | - Maria-Magdalena Mocanu
- Department of Biophysics, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
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114
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Gargallo CJ, Lanas Á, Carrera‐Lasfuentes P, Ferrandez Á, Quintero E, Carrillo M, Alonso‐Abreu I, García‐Gonzalez MA. Genetic susceptibility in the development of colorectal adenomas according to family history of colorectal cancer. Int J Cancer 2018; 144:489-502. [PMID: 30194776 PMCID: PMC6587859 DOI: 10.1002/ijc.31858] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Revised: 07/30/2018] [Accepted: 08/29/2018] [Indexed: 12/25/2022]
Abstract
Our study aimed to evaluate the relevance of genetic susceptibility in the development of colorectal adenomas (CRA) and its relationship with the presence of family history of colorectal cancer (CRC). Genomic DNA from 750 cases (first degree relatives of patients with CRC) and 750 controls (subjects with no family history of CRC) was genotyped for 99 single nucleotide polymorphisms (SNPs) previously associated with CRC/CRA risk by GWAS and candidate gene studies by using the MassArray™ (Sequenom) platform. Cases and controls were matched by gender, age and histological lesion. Eight hundred and fifty‐eight patients showed no neoplastic lesions, whereas 288 patients showed low‐risk adenomas, and 354 patients presented high‐risk adenomas. Two SNPs (rs10505477, rs6983267) in the CASC8 gene were associated with a reduced risk of CRA in controls (log‐additive models, OR: 0.67, 95%CI:0.54–0.83, and OR:0.66, 95%CI:0.54–0.84, respectively). Stratified analysis by histological lesion revealed the association of rs10505477 and rs6983267 variants with reduced risk of low‐ and high‐risk adenomas in controls, being this effect stronger in low‐risk adenomas (log‐additive models, OR:0.63, 95%CI:0.47–0.84 and OR:0.64, 95%CI:0.47–0.86, respectively). Moreover, 2 SNPs (rs10795668, rs11255841) in the noncoding LINC00709 gene were significantly associated with a reduced risk of low‐risk adenomas in cases (recessive models, OR:0.22, 95%CI:0.06–0.72, and OR:0.08, 95%CI:0.03–0.61) and controls (dominant models, OR:0.50, 95%CI:0.34–0.75, and OR:0.52, 95%CI:0.35–0.78, respectively). In conclusion, some variants associated with CRC risk (rs10505477, rs6983267, rs10795668 and rs11255841) are also involved in the susceptibility to CRA and specific subtypes. These associations are influenced by the presence of family history of CRC. What's new? While numerous candidate gene variants have been associated with colorectal cancer, little is known about the relevance of genetic susceptibility or influence of family history in the development of precancerous colorectal adenomas. In the present study, certain genetic variants previously associated with colorectal cancer risk, including two variants in the CASC8 gene and two in the lnc‐RNA LINC00709 gene, were found to be also involved in susceptibility to colorectal adenomas. The associations were modified by family history of colorectal cancer. The results could have implications for colorectal cancer screening and the identification of individuals at increased risk of colorectal adenoma.
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Affiliation(s)
- Carla J. Gargallo
- Department of GastroenterologyHospital Clínico Universitario Lozano BlesaZaragozaSpain
- Aragon Health Research Institute (IIS Aragon)ZaragozaSpain
| | - Ángel Lanas
- Department of GastroenterologyHospital Clínico Universitario Lozano BlesaZaragozaSpain
- Aragon Health Research Institute (IIS Aragon)ZaragozaSpain
- University of Zaragoza School of MedicineZaragozaSpain
- CIBERehdZaragozaSpain
| | | | - Ángel Ferrandez
- Department of GastroenterologyHospital Clínico Universitario Lozano BlesaZaragozaSpain
- Aragon Health Research Institute (IIS Aragon)ZaragozaSpain
| | - Enrique Quintero
- University of La Laguna, School of MedicineCanary IslandsSpain
- Hospital Universitario de CanariasCanary IslandsSpain
| | | | | | - María Asunción García‐Gonzalez
- Aragon Health Research Institute (IIS Aragon)ZaragozaSpain
- CIBERehdZaragozaSpain
- Aragon Institute of Health Sciences (IACS)ZaragozaSpain
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115
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Chun KA, Kocarnik JM, Hardikar SS, Robinson JR, Berndt SI, Chan AT, Figueiredo JC, Lindor NM, Song M, Schoen RE, Hayes RB, Potter JD, Nassir R, Bézieau S, Le Marchand L, Slattery ML, White E, Peters U, Newcomb PA. Leptin gene variants and colorectal cancer risk: Sex-specific associations. PLoS One 2018; 13:e0206519. [PMID: 30379922 PMCID: PMC6209341 DOI: 10.1371/journal.pone.0206519] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 10/15/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND High levels of serum leptin and low levels of serum adiponectin are strongly correlated with obesity, a well-established risk factor for colorectal cancer (CRC). Growing evidence suggests that dysregulation of leptin and adiponectin levels may play an etiological role in colorectal carcinogenesis. We evaluated 20 candidate variants in 4 genes previously shown to alter serum leptin and adiponectin levels for associations with obesity (BMI>30 kg/m2) and CRC risk. METHODS We analyzed 6,246 CRC cases and 7,714 population-based controls from 11 studies within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations of each variant with obesity or CRC were evaluated using multivariate logistic regression models stratified by sex and adjusted for age, a study variable, and the first three principal components of genetic ancestry. Gene-specific False Discovery Rate (FDR)-adjusted p-values <0.05 denoted statistical significance. RESULTS Two variants in the leptin gene showed statistically significant associations with CRC among women: LEP rs2167270 (OR = 1.13, 95% CI: 1.06-1.21) and LEP rs4731426 (OR = 1.09, 95% CI: 1.02-1.17). These associations remained significant after adjustment for obesity, suggesting that leptin SNPs may influence CRC risk independent of obesity. We observed statistically significant interactions of the leptin variants with hormone replacement therapy (HRT) for CRC risk; these variant associations were strengthened when analyses were restricted to post-menopausal women with low estrogen exposure, as estimated by 'never use' of HRT and/or non-obese BMI. No variants were associated with CRC among men. CONCLUSIONS Leptin gene variants may exhibit sex-specific associations with CRC risk. Endogenous and exogenous estrogen exposure may modify the association between these variants, leptin levels, and CRC risk.
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Affiliation(s)
- Kelsey A. Chun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Jonathan M. Kocarnik
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Institute of Translational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Sheetal S. Hardikar
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States of America
| | - Jamaica R. Robinson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Institute of Translational Health Sciences, University of Washington, Seattle, WA, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Cambridge, MA, United States of America
| | - Jane C. Figueiredo
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, United States of America
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Noralane M. Lindor
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, United States of America
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Cambridge, MA, United States of America
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Robert E. Schoen
- Division of Gastroenterology, Hepatology, and Nutrition, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, United States of America
| | - John D. Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California-Davis, Davis, CA, United States of America
| | - Stéphane Bézieau
- Service de Génétique Médicale, Université de Nantes, Nantes, France
| | - Loic Le Marchand
- Epidemiology Program, University of Hawai‘i Cancer Center, Honolulu, HI, United States of America
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT, United States of America
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
| | - Polly A. Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
- Department of Epidemiology, University of Washington, Seattle, WA, United States of America
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116
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Jiang L, Penney KL, Giovannucci E, Kraft P, Wilson KM. A genome-wide association study of energy intake and expenditure. PLoS One 2018; 13:e0201555. [PMID: 30071075 PMCID: PMC6072034 DOI: 10.1371/journal.pone.0201555] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 07/17/2018] [Indexed: 12/24/2022] Open
Abstract
Excessive energy intake or insufficient energy expenditure, which result in energy imbalance, contribute to the development of obesity. Obesity-related genes, such as FTO, are associated with energy traits. No genome-wide association studies (GWAS) have been conducted to detect the genetic associations with energy-related traits, including energy intake and energy expenditure, among European-ancestry populations. In this study, we conducted a genome-wide study using pooled GWAS including 12,030 European-ancestry women and 6,743 European-ancestry men to identify genetic variants associated with these two energy traits. We observed a statistically significant genome-wide SNP heritability for energy intake of 6.05% (95%CI = (1.76, 10.34), P = 0.006); the SNP heritability for expenditure was not statistically significantly greater than zero. We discovered three SNPs on chromosome 12q13 near gene ANKRD33 that were genome-wide significantly associated with increased total energy intake among all men. We also identified signals on region 2q22 that were associated with energy expenditure among lean people. Body mass index related SNPs were found to be significantly associated with energy intake and expenditure through SNP set analyses. Larger GWAS studies of total energy traits are warranted to explore the genetic basis of energy intake, including possible differences between men and women, and the association between total energy intake and other downstream phenotypes, such as diabetes and chronic diseases.
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Affiliation(s)
- Lai Jiang
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- * E-mail: (LJ); (KMW)
| | - Kathryn L. Penney
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital/Harvard Medical School, Boston, Massachusetts, United States of America
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Kathryn M. Wilson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham & Women’s Hospital/Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail: (LJ); (KMW)
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117
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Weigl K, Thomsen H, Balavarca Y, Hellwege JN, Shrubsole MJ, Brenner H. Genetic Risk Score Is Associated With Prevalence of Advanced Neoplasms in a Colorectal Cancer Screening Population. Gastroenterology 2018; 155:88-98.e10. [PMID: 29574091 PMCID: PMC6035076 DOI: 10.1053/j.gastro.2018.03.030] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 03/06/2018] [Accepted: 03/14/2018] [Indexed: 02/08/2023]
Abstract
BACKGROUND & AIMS The presence of specific single nucleotide polymorphisms (SNPs) can be used to calculate an individual's risk for colorectal cancer (CRC), called a genetic risk score (GRS). We investigated whether GRS can identify individuals with clinically relevant neoplasms in a screening colonoscopy population. METHODS We derived a GRS based on 48 SNPs associated with CRC, identified in a comprehensive literature search. We obtained genetic data from 1043 participants (50-79 years old) in a screening colonoscopy study in Germany, recruited from 2005 through 2013 (294 with advanced neoplasms, 249 with non-advanced adenoma (NAAs), and 500 without neoplasms). Each participant was assigned a GRS by aggregating their risk alleles (0, 1, or 2). Risk of advanced neoplasms and NAA according to GRS was calculated by multiple logistic regression. Risk advancement periods were calculated. We replicated our findings using data from a subset of the Tennessee Colorectal Polyp Study. RESULTS An increased GRS was associated with higher prevalence of advanced neoplasms, but not NAAs. Participants in the middle and upper tertiles of GRS had a 2.2-fold and 2.7-fold increase in risk, respectively, of advanced neoplasms compared to those in the lower tertile. Adjusted odds ratios (ORs) were 1.09 (95% confidence interval [CI], 0.76-1.57) for NAA in the middle tertile and 1.05 (95% CI, 0.70-1.55) for NAA in the upper tertile. The ORs were largest for proximal advanced neoplasms for participants in the middle tertile (OR, 3.55; 95% CI 1.85-6.82) and the upper tertile (OR, 3.61; 95% CI 1.84-7.10). The risk advancement period for medium vs low GRS was 13.4 years (95% CI 4.8-22.0) and for high vs low GRS was 17.5 years (95% CI, 7.8-27.3). CONCLUSIONS In a genetic analysis of participants in a CRC screening study in Germany, an increased GRS (based on CRC-associated SNPs) was associated with increased prevalence of advanced neoplasms. These findings might be used in defining risk-adapted screening ages.
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Affiliation(s)
- Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany; Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Yesilda Balavarca
- Division of Preventive Oncology, German Cancer Research Center and National Center of Tumor Diseases, Heidelberg, Germany
| | - Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Martha J Shrubsole
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center of Tumor Diseases, Heidelberg, Germany.
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118
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Huhn S, da Silva Filho MI, Sanmuganantham T, Pichulik T, Catalano C, Pardini B, Naccarati A, Polakova-Vymetálkova V, Jiraskova K, Vodickova L, Vodicka P, Löffler MW, Courth L, Wehkamp J, Din FVN, Timofeeva M, Farrington SM, Jansen L, Hemminki K, Chang-Claude J, Brenner H, Hoffmeister M, Dunlop MG, Weber ANR, Försti A. Coding variants in NOD-like receptors: An association study on risk and survival of colorectal cancer. PLoS One 2018; 13:e0199350. [PMID: 29928061 PMCID: PMC6013205 DOI: 10.1371/journal.pone.0199350] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Accepted: 06/06/2018] [Indexed: 11/19/2022] Open
Abstract
Nod-like receptors (NLRs) are important innate pattern recognition receptors and regulators of inflammation or play a role during development. We systematically analysed 41 non-synonymous single nucleotide polymorphisms (SNPs) in 21 NLR genes in a Czech discovery cohort of sporadic colorectal cancer (CRC) (1237 cases, 787 controls) for their association with CRC risk and survival. Five SNPs were found to be associated with CRC risk and eight with survival at 5% significance level. In a replication analysis using data of two large genome-wide association studies (GWASs) from Germany (DACHS: 1798 cases and 1810 controls) and Scotland (2210 cases and 9350 controls) the associations found in the Czech discovery set were not confirmed. However, expression analysis in human gut-related tissues and immune cells revealed that the NLRs associated with CRC risk or survival in the discovery set were expressed in primary human colon or rectum cells, CRC tissue and/or cell lines, providing preliminary evidence for a potential involvement of NLRs in general in CRC development and/or progression. Most interesting was the finding that the enigmatic development-related NLRP5 (also known as MATER) was not expressed in normal colon tissue but in colon cancer tissue and cell lines. Future studies may show whether regulatory variants instead of coding variants might affect the expression of NLRs and contribute to CRC risk and survival.
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Affiliation(s)
- Stefanie Huhn
- Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Multiple Myeloma, Internal Medicine V: Hematology, Oncology and Rheumatology, Heidelberg University Hospital, Heidelberg, Germany
| | - Miguel I. da Silva Filho
- Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tharmila Sanmuganantham
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Tica Pichulik
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Calogerina Catalano
- Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Barbara Pardini
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Alessio Naccarati
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Veronika Polakova-Vymetálkova
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
- Institute of Biology and Medical Genetics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Katerina Jiraskova
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
- Institute of Biology and Medical Genetics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Ludmila Vodickova
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
- Institute of Biology and Medical Genetics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
- Biomedical Centre, Faculty of Medicine Pilsen, Charles University Prague, Pilsen, Czech Republic
| | - Pavel Vodicka
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
- Institute of Biology and Medical Genetics, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
- Biomedical Centre, Faculty of Medicine Pilsen, Charles University Prague, Pilsen, Czech Republic
| | - Markus W. Löffler
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
- Department of General, Visceral and Transplant Surgery, University Hospital Tübingen, Tübingen, Germany
| | - Lioba Courth
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Jan Wehkamp
- Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany
| | - Farhat V. N. Din
- Colon Cancer Genetics Group, MRC Human Genetics Unit, The University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Maria Timofeeva
- Colon Cancer Genetics Group, MRC Human Genetics Unit, The University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Susan M. Farrington
- Colon Cancer Genetics Group, MRC Human Genetics Unit, The University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Lina Jansen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Kari Hemminki
- Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, SE, Sweden
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - 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), Im Neuenheimer Feld 460, Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Malcolm G. Dunlop
- Colon Cancer Genetics Group, MRC Human Genetics Unit, The University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Alexander N. R. Weber
- Interfaculty Institute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Asta Försti
- Department of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Clinical Research Center, Lund University, Malmö, SE, Sweden
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Jeon J, Du M, Schoen RE, Hoffmeister M, Newcomb PA, Berndt SI, Caan B, Campbell PT, Chan AT, Chang-Claude J, Giles GG, Gong J, Harrison TA, Huyghe JR, Jacobs EJ, Li L, Lin Y, Le Marchand L, Potter JD, Qu C, Bien SA, Zubair N, Macinnis RJ, Buchanan DD, Hopper JL, Cao Y, Nishihara R, Rennert G, Slattery ML, Thomas DC, Woods MO, Prentice RL, Gruber SB, Zheng Y, Brenner H, Hayes RB, White E, Peters U, Hsu L. Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors. Gastroenterology 2018; 154:2152-2164.e19. [PMID: 29458155 PMCID: PMC5985207 DOI: 10.1053/j.gastro.2018.02.021] [Citation(s) in RCA: 193] [Impact Index Per Article: 32.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 01/22/2018] [Accepted: 02/06/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND & AIMS Guidelines for initiating colorectal cancer (CRC) screening are based on family history but do not consider lifestyle, environmental, or genetic risk factors. We developed models to determine risk of CRC, based on lifestyle and environmental factors and genetic variants, and to identify an optimal age to begin screening. METHODS We collected data from 9748 CRC cases and 10,590 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colorectal Transdisciplinary study, from 1992 through 2005. Half of the participants were used to develop the risk determination model and the other half were used to evaluate the discriminatory accuracy (validation set). Models of CRC risk were created based on family history, 19 lifestyle and environmental factors (E-score), and 63 CRC-associated single-nucleotide polymorphisms identified in genome-wide association studies (G-score). We evaluated the discriminatory accuracy of the models by calculating area under the receiver operating characteristic curve values, adjusting for study, age, and endoscopy history for the validation set. We used the models to project the 10-year absolute risk of CRC for a given risk profile and recommend ages to begin screening in comparison to CRC risk for an average individual at 50 years of age, using external population incidence rates for non-Hispanic whites from the Surveillance, Epidemiology, and End Results program registry. RESULTS In our models, E-score and G-score each determined risk of CRC with greater accuracy than family history. A model that combined both scores and family history estimated CRC risk with an area under the receiver operating characteristic curve value of 0.63 (95% confidence interval, 0.62-0.64) for men and 0.62 (95% confidence interval, 0.61-0.63) for women; area under the receiver operating characteristic curve values based on only family history ranged from 0.53 to 0.54 and those based only E-score or G-score ranged from 0.59 to 0.60. Although screening is recommended to begin at age 50 years for individuals with no family history of CRC, starting ages calculated based on combined E-score and G-score differed by 12 years for men and 14 for women, for individuals with the highest vs the lowest 10% of risk. CONCLUSIONS We used data from 2 large international consortia to develop CRC risk calculation models that included genetic and environmental factors along with family history. These determine risk of CRC and starting ages for screening with greater accuracy than the family history only model, which is based on the current screening guideline. These scoring systems might serve as a first step toward developing individualized CRC prevention strategies.
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Affiliation(s)
- Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan.
| | - Mengmeng Du
- Memorial Sloan Kettering, New York, New York
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Bette Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, California
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jenny Chang-Claude
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, School of Global and Population Health, University of Melbourne, Melbourne, Australia
| | - Jian Gong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia
| | - Li Li
- Case Western Reserve University, Cleveland, Ohio
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Niha Zubair
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Robert J Macinnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, School of Global and Population Health, University of Melbourne, Melbourne, Australia
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Yin Cao
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Reiko Nishihara
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | | | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Duncan C Thomas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Michael O Woods
- Memorial University of Newfoundland, St John's, Newfoundland, Canada
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Stephen B Gruber
- USC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
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Neumeyer S, Banbury BL, Arndt V, Berndt SI, Bezieau S, Bien SA, Buchanan DD, Butterbach K, Caan BJ, Campbell PT, Casey G, Chan AT, Chanock SJ, Dai JY, Gallinger S, Giovannucci EL, Giles GG, Grady WM, Hampe J, Hoffmeister M, Hopper JL, Hsu L, Jenkins MA, Joshi A, Larsson SC, Le Marchand L, Lindblom A, Moreno V, Lemire M, Li L, Lin Y, Offit K, Newcomb PA, Pharaoh PD, Potter JD, Qi L, Rennert G, Schafmayer C, Schoen RE, Slattery ML, Song M, Ulrich CM, Win AK, White E, Wolk A, Woods MO, Wu AH, Gruber SB, Brenner H, Peters U, Chang-Claude J. Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer. Br J Cancer 2018; 118:1639-1647. [PMID: 29795306 PMCID: PMC6008474 DOI: 10.1038/s41416-018-0108-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 04/09/2018] [Accepted: 04/11/2018] [Indexed: 02/07/2023] Open
Abstract
Background Substantial evidence supports an association between use of menopausal hormone therapy and decreased colorectal cancer (CRC) risk, indicating a role of exogenous sex hormones in CRC development. However, findings on endogenous oestrogen exposure and CRC are inconsistent. Methods We used a Mendelian randomisation approach to test for a causal effect of age at menarche and age at menopause as surrogates for endogenous oestrogen exposure on CRC risk. Weighted genetic risk scores based on 358 single-nucleotide polymorphisms associated with age at menarche and 51 single-nucleotide polymorphisms associated with age at menopause were used to estimate the association with CRC risk using logistic regression in 12,944 women diagnosed with CRC and 10,741 women without CRC from three consortia. Sensitivity analyses were conducted to address pleiotropy and possible confounding by body mass index. Results Genetic risk scores for age at menarche (odds ratio per year 0.98, 95% confidence interval: 0.95–1.02) and age at menopause (odds ratio 0.98, 95% confidence interval: 0.94–1.01) were not significantly associated with CRC risk. The sensitivity analyses yielded similar results. Conclusions Our study does not support a causal relationship between genetic risk scores for age at menarche and age at menopause and CRC risk.
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Affiliation(s)
- Sonja Neumeyer
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892-9776, USA
| | - Stephane Bezieau
- Centre Hospitalier Universitaire (CHU), Nantes Service de Génétique Médicale, 44093, Nantes, France
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Dan D Buchanan
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, VIC, 3010, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Katja Butterbach
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program of Northern California, Oakland, 94612, CA, USA
| | - Peter T Campbell
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, 30329-4251, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, 02115, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.,Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892-9776, USA
| | - James Y Dai
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Steven Gallinger
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5G 1 X 5, Canada
| | - Edward L Giovannucci
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA.,Department of Nutrition, Harvard School of Public Health, Boston, MA, 02115, USA.,Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia.,Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, VIC, 3010, Australia
| | - William M Grady
- Department of Medicine, Division of Gastroenterology, University of Washington School of Medicine, Seattle, WA, 98195, USA.,Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Jochen Hampe
- Medical Department 1, University Hospital Dresden, TU Dresden, 01307, Dresden, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Amit Joshi
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, MA, 02115, USA
| | - Susanna C Larsson
- Institute of Environmental Medicine, Karolinska Institutet Solna, SE-171 77, Stockholm, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, 96822, HI, USA
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital Solna, SE-171 77, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, Karolinska Institutet Solna, SE-171 77, Stockholm, Sweden
| | - Victor Moreno
- Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), 08028, Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain and University of Barcelona, Barcelona, 08007, Spain
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada
| | - Li Li
- Department of Family Medicine and Community Health, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Kenneth Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Paul D Pharaoh
- Centre for Cancer Genetic Epidemiology, Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 8AR, UK
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Lihong Qi
- Department of Public Health Sciences, University of California, Davis, CA, 95817, USA
| | - Gad Rennert
- Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.,Clalit Health Services National Israeli Cancer Control Center, Haifa, 34361, Israel.,Department of Community Medicine and Epidemiology, Carmel Medical Center, Haifa, 34361, Israel
| | - Clemens Schafmayer
- Department of General and Thoracic Surgery, University Hospital Schleswig-Holstein, Campus Kiel, 24118, Kiel, Germany
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT, 84108, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, 02115, USA.,Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA.,Department of Nutrition, Harvard School of Public Health, Boston, MA, 02115, USA
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, 84112, USA
| | - Aung K Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, 3010, Australia.,Genetic Medicine and Familial Cancer Centre, Royal Melbourne Hospital, Parkville, VIC, 3050, Australia
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet Solna, SE-171 77, Stockholm, Sweden.,Department of Surgical Sciences, Uppsala University, Uppsala, SE-171 77, Sweden
| | - Michael O Woods
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, A1C 5S7, Canada
| | - Anna H Wu
- Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, 90033, USA
| | - Stephen B Gruber
- Department of Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, 90033, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), 69120, Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98124, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. .,Genetic Tumour Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg, 20246, Hamburg, Germany.
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Abstract
The aim of the current study was to investigate and discuss the function of T-box 3 (TBX3) gene expression in the pathogenesis of renal carcinoma. The carcinoma, adjacent and normal renal tissues of 210 patients with renal carcinoma who presented to The Central Hospital of Wuhan, Tongji Medical College from March, 2006 to March, 2012 were collected to extract total RNAs. The total RNAs were reverse-transcribed into complementary DNA (cDNA), and quantitative polymerase chain reaction (qPCR) was applied to detect the expression of TBX3 gene in these tissues, followed by its association with the prognosis of renal carcinoma as well as clinical features. A comparison of the renal carcinoma tissues with the adjacent tissues showed that TBX3 gene was obviously highly expressed in renal carcinoma tissues (P<0.05). In addition, compared with normal renal tissues, TBX3 gene was obviously highly expressed in renal carcinoma tissues (P<0.05). There was no significant difference in the expression levels of TBX3 gene in normal renal tissues and adjacent tissues (P=0.15). The expression of TBX3 gene in renal carcinoma tissues was not associated with patient age, sex and tumor size (P>0.05), but it was associated with tumor-node-metastasis (TNM) staging and lymph node metastasis (P<0.05). The Kaplan-Meier survival analysis revealed that the median survival time of patients in the positive TBX3 gene expression group (37.5 months) was shorter than that in the negative TBX3 gene expression group (66 months), and there was a statistical difference (P<0.05). The 3- and 5-year survival rates in the negative TBX3 gene expression group were 74 and 62%, respectively, and the 3- and 5-year survival rates in the positive TBX3 gene expression group were 52 and 32%, respectively, and the differences were significant (P<0.05). The results suggest that TBX3 gene is highly expressed in renal carcinoma tissues, and it is associated with TNM staging, lymph node metastasis and distant metastasis, which may be involved in the occurrence and metastasis of renal carcinoma.
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Affiliation(s)
- Yifan Wang
- Department of Emergency, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430014, P.R. China
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Jiao X, Liu W, Mahdessian H, Bryant P, Ringdahl J, Timofeeva M, Farrington SM, Dunlop M, Lindblom A. Recurrent, low-frequency coding variants contributing to colorectal cancer in the Swedish population. PLoS One 2018; 13:e0193547. [PMID: 29547645 PMCID: PMC5856271 DOI: 10.1371/journal.pone.0193547] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2017] [Accepted: 02/13/2018] [Indexed: 12/20/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified dozens of common genetic variants associated with risk of colorectal cancer (CRC). However, the majority of CRC heritability remains unclear. In order to discover low-frequency, high-risk CRC susceptibility variants in Swedish population, we genotyped 1 515 CRC patients enriched for familial cases, and 12 108 controls. Case/control association analysis suggested eight novel variants associated with CRC risk (OR 2.0-17.6, p-value < 2.0E-07), comprised of seven coding variants in genes RAB11FIP5, POTEA, COL27A1, MUC5B, PSMA8, MYH7B, and PABPC1L as well as one variant downstream of NEU1 gene. We also confirmed 27 out of 30 risk variants previously reported from GWAS in CRC with a mixed European population background. This study identified rare, coding sequence variants associated with CRC risk through analysis in a relatively homogeneous population. The segregation data suggest a complex mode of inheritance in seemingly dominant pedigrees.
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Affiliation(s)
- Xiang Jiao
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Wen Liu
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Hovsep Mahdessian
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Patrick Bryant
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jenny Ringdahl
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
- MRC Human Genetics Unit, Western General Hospital Edinburgh, Edinburgh, United Kingdom
| | - Susan M. Farrington
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
- MRC Human Genetics Unit, Western General Hospital Edinburgh, Edinburgh, United Kingdom
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
- MRC Human Genetics Unit, Western General Hospital Edinburgh, Edinburgh, United Kingdom
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
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Grasso CS, Giannakis M, Wells DK, Hamada T, Mu XJ, Quist M, Nowak JA, Nishihara R, Qian ZR, Inamura K, Morikawa T, Nosho K, Abril-Rodriguez G, Connolly C, Escuin-Ordinas H, Geybels MS, Grady WM, Hsu L, Hu-Lieskovan S, Huyghe JR, Kim YJ, Krystofinski P, Leiserson MDM, Montoya DJ, Nadel BB, Pellegrini M, Pritchard CC, Puig-Saus C, Quist EH, Raphael BJ, Salipante SJ, Shin DS, Shinbrot E, Shirts B, Shukla S, Stanford JL, Sun W, Tsoi J, Upfill-Brown A, Wheeler DA, Wu CJ, Yu M, Zaidi SH, Zaretsky JM, Gabriel SB, Lander ES, Garraway LA, Hudson TJ, Fuchs CS, Ribas A, Ogino S, Peters U. Genetic Mechanisms of Immune Evasion in Colorectal Cancer. Cancer Discov 2018; 8:730-749. [PMID: 29510987 DOI: 10.1158/2159-8290.cd-17-1327] [Citation(s) in RCA: 341] [Impact Index Per Article: 56.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 02/13/2018] [Accepted: 02/27/2018] [Indexed: 12/16/2022]
Abstract
To understand the genetic drivers of immune recognition and evasion in colorectal cancer, we analyzed 1,211 colorectal cancer primary tumor samples, including 179 classified as microsatellite instability-high (MSI-high). This set includes The Cancer Genome Atlas colorectal cancer cohort of 592 samples, completed and analyzed here. MSI-high, a hypermutated, immunogenic subtype of colorectal cancer, had a high rate of significantly mutated genes in important immune-modulating pathways and in the antigen presentation machinery, including biallelic losses of B2M and HLA genes due to copy-number alterations and copy-neutral loss of heterozygosity. WNT/β-catenin signaling genes were significantly mutated in all colorectal cancer subtypes, and activated WNT/β-catenin signaling was correlated with the absence of T-cell infiltration. This large-scale genomic analysis of colorectal cancer demonstrates that MSI-high cases frequently undergo an immunoediting process that provides them with genetic events allowing immune escape despite high mutational load and frequent lymphocytic infiltration and, furthermore, that colorectal cancer tumors have genetic and methylation events associated with activated WNT signaling and T-cell exclusion.Significance: This multi-omic analysis of 1,211 colorectal cancer primary tumors reveals that it should be possible to better monitor resistance in the 15% of cases that respond to immune blockade therapy and also to use WNT signaling inhibitors to reverse immune exclusion in the 85% of cases that currently do not. Cancer Discov; 8(6); 730-49. ©2018 AACR.This article is highlighted in the In This Issue feature, p. 663.
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Affiliation(s)
- Catherine S Grasso
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California. .,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Daniel K Wells
- Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Tsuyoshi Hamada
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Xinmeng Jasmine Mu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Michael Quist
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Reiko Nishihara
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Zhi Rong Qian
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kentaro Inamura
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Teppei Morikawa
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Katsuhiko Nosho
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts
| | - Gabriel Abril-Rodriguez
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Charles Connolly
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Helena Escuin-Ordinas
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Milan S Geybels
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Siwen Hu-Lieskovan
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yeon Joo Kim
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Paige Krystofinski
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Mark D M Leiserson
- Department of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, Rhode Island
| | - Dennis J Montoya
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, California
| | - Brian B Nadel
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, California
| | - Matteo Pellegrini
- Department of Molecular, Cell, and Developmental Biology, University of California, Los Angeles, Los Angeles, California
| | - Colin C Pritchard
- Department of Laboratory Medicine, University of Washington, Seattle, Washington
| | - Cristina Puig-Saus
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Elleanor H Quist
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Ben J Raphael
- Department of Computer Science and Center for Computational Molecular Biology, Brown University, Providence, Rhode Island
| | - Stephen J Salipante
- Department of Laboratory Medicine, University of Washington, Seattle, Washington
| | - Daniel Sanghoon Shin
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Eve Shinbrot
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Brian Shirts
- Department of Laboratory Medicine, University of Washington, Seattle, Washington
| | - Sachet Shukla
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Department of Statistics, Iowa State University, Ames, Iowa
| | - Janet L Stanford
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jennifer Tsoi
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, California
| | - Alexander Upfill-Brown
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - David A Wheeler
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Ming Yu
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada
| | - Jesse M Zaretsky
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | | | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Levi A Garraway
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, MaRS Centre, Toronto, Ontario, Canada.,AbbVie Inc., Redwood City, California
| | - Charles S Fuchs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.,Yale Cancer Center, New Haven, Connecticut.,Department of Medicine, Yale School of Medicine, New Haven, Connecticut.,Smilow Cancer Hospital, New Haven, Connecticut
| | - Antoni Ribas
- Department of Medicine, Division of Hematology-Oncology, University of California, Los Angeles, and the Jonsson Comprehensive Cancer Center, Los Angeles, California.,Parker Institute for Cancer Immunotherapy, San Francisco, California
| | - Shuji Ogino
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts.,Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.,Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington
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Risk of eighteen genome-wide association study-identified genetic variants for colorectal cancer and colorectal adenoma in Han Chinese. Oncotarget 2018; 7:77651-77663. [PMID: 27769063 PMCID: PMC5363611 DOI: 10.18632/oncotarget.12750] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2015] [Accepted: 10/01/2016] [Indexed: 01/20/2023] Open
Abstract
Background Recent genome-wide association studies (GWAS) identified eighteen single-nucleotide polymorphisms (SNPs) to be significantly associated with the risk of colorectal cancer (CRC). However, overall results of the following replications are inconsistent and little is known about whether these associations also exit in colorectal adenomas (CRA). Methods The SNP genotyping was performed using a Sequenom MassARRAY to investigate the association of these eighteen SNPs with colorectal neoplasm in a case-control study consisted of 1049 colorectal cancers, 283 adenomas, and 1030 controls. Results Two of these SNPs, rs10505477 and rs719725, showed evidence of an association in both CRC and CRA in our study population. Besides, seven SNPs (rs10808555, rs7014346, rs7837328, rs704017, rs11196172, rs4779584, and rs7229639) were significantly associated with CRC, and another one SNP rs11903757 was over-represented in CRA compared with controls. The strongest association was provided by rs11196172 (OR = 2.02, 95% CI = 1.66 - 2.46, P < 0.0001) and rs11903757 (OR = 1.96, 95% CI = 1.28 - 3.00, P = 0.0026). Conclusion These results suggest that some previously reported SNP associations also have impact on CRC and CRA predispositions in the Han Chinese population. A part of genetic risk to CRC is possibly mediated by susceptibility to adenomas.
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Song N, Shin A, Oh JH, Kim J. Effects of interactions between common genetic variants and alcohol consumption on colorectal cancer risk. Oncotarget 2018; 9:6391-6401. [PMID: 29464080 PMCID: PMC5814220 DOI: 10.18632/oncotarget.23997] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 12/28/2017] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified approximately 40 common genetic loci associated with colorectal cancer risk. To investigate possible gene-environment interactions (GEIs) between GWAS-identified single-nucleotide polymorphisms (SNPs) and alcohol consumption with respect to colorectal cancer, a hospital-based case-control study was conducted. RESULTS Higher levels of alcohol consumption as calculated based on a standardized definition of a drink (1 drink=12.5g of ethanol) were associated with increased risk of colorectal cancer (OR=2.47, 95% CI=1.62-3.76 for heavy drinkers [>50g/day] compared to never drinkers; ptrend<0.01). SNP rs6687758 near the DUSP10 gene at 1q41 had a statistically significant interaction with alcohol consumption in analyses of standardized drinks (p=4.6×10-3), although this did not surpass the corrected threshold for multiple testing. When stratified by alcohol consumption levels, in an additive model the risk of colorectal cancer associated with the G allele of rs6687758 tended to increase among individuals in the heavier alcohol consumption strata. A statistically significant association between rs6687758 and colorectal cancer risk was observed among moderate alcohol drinkers who consumed between >12.5 and ≤50g of alcohol per day (OR=1.46, 95% CI=1.01-2.11). METHODS A total of 2,109 subjects (703 colorectal cancer patients and 1,406 healthy controls) were recruited from the Korean National Cancer Center. For genotyping, 30 GWAS-identified SNPs were selected. A logistic regression model was used to evaluate associations of SNPs and alcohol consumption with colorectal cancer risk. We also tested GEIs between SNPs and alcohol consumption using a logistic model with multiplicative interaction terms. CONCLUSIONS Our results suggest that SNP rs6687758 at 1q41 may interact with alcohol consumption in the etiology of colorectal cancer.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Molecular Epidemiology Branch, National Cancer Center, Goyang, Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center, Goyang, Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, National Cancer Center, Goyang, Korea
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Weigl K, Chang-Claude J, Knebel P, Hsu L, Hoffmeister M, Brenner H. Strongly enhanced colorectal cancer risk stratification by combining family history and genetic risk score. Clin Epidemiol 2018; 10:143-152. [PMID: 29403313 PMCID: PMC5783152 DOI: 10.2147/clep.s145636] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background and aim Family history (FH) and genetic risk scores (GRSs) are increasingly used for risk stratification for colorectal cancer (CRC) screening. However, they were mostly considered alternatively rather than jointly. The aim of this study was to assess the potential of individual and joint risk stratification for CRC by FH and GRS. Patients and methods A GRS was built based on the number of risk alleles in 53 previously identified single-nucleotide polymorphisms among 2,363 patients with a first diagnosis of CRC and 2,198 controls in DACHS [colorectal cancer: chances for prevention through screening], a population-based case-control study in Germany. Associations between GRS and FH with CRC risk were quantified by multiple logistic regression. Results A total of 316 cases (13.4%) and 214 controls (9.7%) had a first-degree relative (FDR) with CRC (adjusted odds ratio [aOR] 1.86, 95% CI 1.52–2.29). A GRS in the highest decile was associated with a 3.0-fold increased risk of CRC (aOR 3.00, 95% CI 2.24–4.02) compared with the lowest decile. This association was tentatively more pronounced in older age groups. FH and GRS were essentially unrelated, and their joint consideration provided more accurate risk stratification than risk stratification based on each of the variables individually. For example, risk was 6.1-fold increased in the presence of both FH in a FDR and a GRS in the highest decile (aOR 6.14, 95% CI 3.47–10.84) compared to persons without FH and a GRS in the lowest decile. Conclusion Both FH and the so far identified genetic variants carry essentially independent risk information and in combination provide great potential for CRC risk stratification.
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Affiliation(s)
- Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg.,University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Phillip Knebel
- Department for General, Visceral and Transplantation Surgery, University Heidelberg, Heidelberg, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
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127
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Ke J, Lou J, Chen X, Li J, Liu C, Gong Y, Yang Y, Zhu Y, Zhang Y, Tian J, Chang J, Zhong R, Gong J, Miao X. Identification of a functional variant for colorectal cancer risk mapping to chromosome 5q31.1. Oncotarget 2018; 7:35199-207. [PMID: 27177089 PMCID: PMC5085221 DOI: 10.18632/oncotarget.9298] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 04/11/2016] [Indexed: 12/31/2022] Open
Abstract
Genome-wide association studies (GWASs) have established chromosome 5q31.1 as a risk locus for colorectal cancer (CRC). We previously identified a potentially regulatory single nucleotide polymorphism (SNP) rs17716310 within 5q31.1. Now, we extended our study with another independent Chinese population, functional assays and analyses of TCGA (The Cancer Genome Atlas) data. Significant associations between rs17716310 and CRC risk were found in Present Study including 1075 CRC cases and 1999 controls (additive model: OR = 1.149, 95% CI = 1.027–1.286, P = 0.016), and in Combined Study including 1766 cases and 2708 controls (additive model: OR = 1.145, 95% CI = 1.045–1.254, P = 0.004). Dual luciferase reporter gene assays indicated that the variant C allele obviously increased transcriptional activity. Using TCGA datasets, we indicated rs17716310 as a cis expression quantitative trait locus (eQTL) for the gene SMAD5, whose expression was significantly higher in CRC tissues. These findings suggested that the functional polymorphism rs17716310 A > C might be a genetic modifier for CRC, promoting the expression of SMAD5 that belonged to the transforming growth factor beta (TGF-β) signaling pathway.
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Affiliation(s)
- Juntao Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiao Lou
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xueqin Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiaoyuan Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yajie Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianbo Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoping Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,State Key Laboratory of Environment Health (Incubation), MOE (Ministry of Education) Key Laboratory of Environment and Health, Ministry of Environmental Protection Key Laboratory of Environment and Health (Wuhan) and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Song N, Shin A, Jung HS, Oh JH, Kim J. Effects of interactions between common genetic variants and smoking on colorectal cancer. BMC Cancer 2017; 17:869. [PMID: 29258461 PMCID: PMC5737484 DOI: 10.1186/s12885-017-3886-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 12/08/2017] [Indexed: 12/17/2022] Open
Abstract
Background Although genome-wide association studies (GWAS) have identified variants in approximately 40 susceptibility loci for colorectal cancer (CRC), there are few studies on the interactions between identified single-nucleotide polymorphisms (SNPs) and lifestyle risk factors. We evaluated whether smoking could modify associations between these genetic variants and CRC risk. Methods A total of 703 CRC patients and 1406 healthy controls were included in this case-control study from the National Cancer Center in Korea. Thirty CRC susceptibility SNPs identified in previous GWAS were genotyped. A logistic regression model was used to examine associations between the SNPs and smoking behaviors by sex. The interaction was estimated by including an additional interaction term in the model. Results In men, an increased CRC risk was observed for longer durations (OR>28 vs. ≤28years = 1.49 (95% CI = 1.11–1.98)), greater quantities (OR≥20 vs. <20cigarettes/day = 2.12 (1.61–2.79)), and longer pack-years of smoking (OR≥21 vs. <21pack-years = 1.78 (1.35–2.35)). In women, longer pack-years of smoking significantly increased CRC risk (OR≥5 vs. <5pack-years = 6.11 (1.10–34.00)). Moreover, there were significant interactions between smoking status and the polymorphisms rs1957636 at 14q22.3 (Pinteraction = 5.5 × 10−4) and rs4813802 at 20p12.3 (Pinteraction = 0.04) in men. Interactions between smoking status and the rs6687758 at 1q41 (Pinteraction = 0.03), duration and the rs174537 at 11q12.2 (Pinteraction = 0.05), and pack-years and the rs4813802 (Pinteraction = 0.04) were also found in women. Conclusions Associations between susceptibility SNPs and CRC risk may be modified by smoking behaviors, supporting the existence of gene-smoking interactions. Electronic supplementary material The online version of this article (10.1186/s12885-017-3886-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nan Song
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Aesun Shin
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea. .,Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea. .,Molecular Epidemiology Branch, National Cancer Center, Goyang, South Korea.
| | - Hye Soo Jung
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center, Goyang, South Korea
| | - Jeongseon Kim
- Molecular Epidemiology Branch, National Cancer Center, Goyang, South Korea. .,Molecular Epidemiology Branch, Division of Cancer Epidemiology and Prevention, Research Institute, National Cancer Center, 323 Ilsan-ro, Insandong-gu, Goyang-si, Gyeonggi-do, 10408, South Korea.
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Yu AM, Calvo JA, Muthupalani S, Samson LD. The Mbd4 DNA glycosylase protects mice from inflammation-driven colon cancer and tissue injury. Oncotarget 2017; 7:28624-36. [PMID: 27086921 PMCID: PMC5053750 DOI: 10.18632/oncotarget.8721] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Accepted: 03/28/2016] [Indexed: 12/12/2022] Open
Abstract
Much of the global cancer burden is associated with longstanding inflammation accompanied by release of DNA-damaging reactive oxygen and nitrogen species. Here, we report that the Mbd4 DNA glycosylase is protective in the azoxymethane/dextran sodium sulfate (AOM/DSS) mouse model of inflammation-driven colon cancer. Mbd4 excises T and U from T:G and U:G mismatches caused by deamination of 5-methylcytosine and cytosine. Since the rate of deamination is higher in inflamed tissues, we investigated the role of Mbd4 in inflammation-driven tumorigenesis. In the AOM/DSS assay, Mbd4-/- mice displayed more severe clinical symptoms, decreased survival, and a greater tumor burden than wild-type (WT) controls. The increased tumor burden in Mbd4-/- mice did not arise from impairment of AOM-induced apoptosis in the intestinal crypt. Histopathological analysis indicated that the colonic epithelium of Mbd4-/- mice is more vulnerable than WT to DSS-induced tissue damage. We investigated the role of the Mbd4-/- immune system in AOM/DSS-mediated carcinogenesis by repeating the assay on WT and Mbd4-/- mice transplanted with WT bone marrow. Mbd4-/- mice with WT bone marrow behaved similarly to Mbd4-/- mice. Together, our results indicate that the colonic epithelium of Mbd4-/- mice is more vulnerable to DSS-induced injury, which exacerbates inflammation-driven tissue injury and cancer.
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Affiliation(s)
- Amy Marie Yu
- Biological Engineering Department, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA
| | - Jennifer A Calvo
- Biological Engineering Department, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA.,Biology Department, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA
| | - Suresh Muthupalani
- Department of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA
| | - Leona D Samson
- Biological Engineering Department, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA.,Biology Department, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA.,Center for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA.,Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, 02139, Massachusetts, USA
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130
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SMAD7 loci contribute to risk of hepatocellular carcinoma and clinicopathologic development among Chinese Han population. Oncotarget 2017; 7:22186-92. [PMID: 26989026 PMCID: PMC5008354 DOI: 10.18632/oncotarget.8065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 02/05/2016] [Indexed: 12/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified three loci at 18q21 (rs4939827, rs7240004, and rs7229639), which maps to SMAD7 loci, were associated with risk of diseases of the digestive system. However, their associations with hepatocellular carcinoma (HCC) risk remain unknown. A case-control study was conducted to assess genetic associations with HCC risk and clinicopathologic development among Chinese Han population. Three SNPs were genotyped among 1,000 HCC cases and 1,000 controls using Sequenom Mass-ARRAY technology. We observed statistically significant associations for the three SMAD7 loci and HCC risk. Each copy of minor allele was associated with a 1.24–1.36 fold increased risk of HCC. We also found that significant differences were observed between rs4939827 and clinical TNM stage and vascular invasion, as well as rs7240004 and vascular invasion. We also established a genetic risk score (GRS) by summing the risk alleles. The GRS was significantly associated with increased risk of HCC and vascular invasion. Our data revealed the SMAD7 loci is associated with HCC susceptibility and its clinicopathologic development.
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131
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Hu Y, Gaedcke J, Emons G, Beissbarth T, Grade M, Jo P, Yeager M, Chanock SJ, Wolff H, Camps J, Ghadimi BM, Ried T. Colorectal cancer susceptibility loci as predictive markers of rectal cancer prognosis after surgery. Genes Chromosomes Cancer 2017; 57:140-149. [PMID: 29119627 DOI: 10.1002/gcc.22512] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 10/27/2017] [Accepted: 11/07/2017] [Indexed: 12/22/2022] Open
Abstract
To understand the molecular mechanism of rectal cancer and develop markers for disease prognostication, we generated and explored a dataset from 243 rectal cancer patients by gene expression microarray analysis of cancer samples and matched controls, and SNP-arrays of germline DNA. We found that two of the loci most strongly linked with colorectal cancer (CRC) risk, 8q24 (upstream of MYC) and 18q21 (in the intron of SMAD7), as well as 20q13 (in the intron of LAMA5), are tightly associated with the prognosis of rectal cancer patients. For SNPs on 18q21 (rs12953717 and rs4464148) and 20q13 (rs4925386), alleles that correlate with higher risk for the development of CRC are associated with shorter disease free survival (DFS). However, for rs6983267 on 8q24, the low risk allele is associated with a higher risk for recurrence and metastasis after surgery, and importantly, is strongly correlated with the resistance of CRC cell lines to chemoradiotherapy (CRT). We also found that although MYC expression is dramatically increased in cancer, patients with higher levels of MYC have a better prognosis. The expression of SMAD7 is weakly correlated with DFS. Notably, the presence of the 8q24 and 18q21 SNP alleles is not correlated with expression levels of MYC and SMAD7. rs4464148, and probably rs6983267 and rs4925386, are linked with overall survival time of patients. In conclusion, we show that several CRC risk SNPs detect subpopulations of rectal cancer patients with poor prognosis, and that rs6983267 probably affects prognosis through interfering with the resistance of cancer cells to CRT.
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Affiliation(s)
- Yue Hu
- Section of Cancer Genomics, Genetics Branch, National Cancer Institute, Bethesda, MD, 20892
| | - Jochen Gaedcke
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, 37075, Germany
| | - Georg Emons
- Section of Cancer Genomics, Genetics Branch, National Cancer Institute, Bethesda, MD, 20892.,Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, 37075, Germany
| | - Tim Beissbarth
- Department of Medical Statistics, University Medical Center, Göttingen, 37075, Germany
| | - Marian Grade
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, 37075, Germany
| | - Peter Jo
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, 37075, Germany
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, 20850
| | - Hendrik Wolff
- Department of Radiation Oncology, University Medical Center, Göttingen, 37075, Germany
| | - Jordi Camps
- Section of Cancer Genomics, Genetics Branch, National Cancer Institute, Bethesda, MD, 20892
| | - B Michael Ghadimi
- Department of General, Visceral and Pediatric Surgery, University Medical Center, Göttingen, 37075, Germany
| | - Thomas Ried
- Section of Cancer Genomics, Genetics Branch, National Cancer Institute, Bethesda, MD, 20892
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Bien SA, Auer PL, Harrison TA, Qu C, Connolly CM, Greenside PG, Chen S, Berndt SI, Bézieau S, Kang HM, Huyghe J, Brenner H, Casey G, Chan AT, Hopper JL, Banbury BL, Chang-Claude J, Chanock SJ, Haile RW, Hoffmeister M, Fuchsberger C, Jenkins MA, Leal SM, Lemire M, Newcomb PA, Gallinger S, Potter JD, Schoen RE, Slattery ML, Smith JD, Le Marchand L, White E, Zanke BW, Abeçasis GR, Carlson CS, Peters U, Nickerson DA, Kundaje A, Hsu L. Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data. PLoS One 2017; 12:e0186518. [PMID: 29161273 PMCID: PMC5697874 DOI: 10.1371/journal.pone.0186518] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 10/03/2017] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND The evaluation of less frequent genetic variants and their effect on complex disease pose new challenges for genomic research. To investigate whether epigenetic data can be used to inform aggregate rare-variant association methods (RVAM), we assessed whether variants more significantly associated with colorectal cancer (CRC) were preferentially located in non-coding regulatory regions, and whether enrichment was specific to colorectal tissues. METHODS Active regulatory elements (ARE) were mapped using data from 127 tissues and cell-types from NIH Roadmap Epigenomics and Encyclopedia of DNA Elements (ENCODE) projects. We investigated whether CRC association p-values were more significant for common variants inside versus outside AREs, or 2) inside colorectal (CR) AREs versus AREs of other tissues and cell-types. We employed an integrative epigenomic RVAM for variants with allele frequency <1%. Gene sets were defined as ARE variants within 200 kilobases of a transcription start site (TSS) using either CR ARE or ARE from non-digestive tissues. CRC-set association p-values were used to evaluate enrichment of less frequent variant associations in CR ARE versus non-digestive ARE. RESULTS ARE from 126/127 tissues and cell-types were significantly enriched for stronger CRC-variant associations. Strongest enrichment was observed for digestive tissues and immune cell types. CR-specific ARE were also enriched for stronger CRC-variant associations compared to ARE combined across non-digestive tissues (p-value = 9.6 × 10-4). Additionally, we found enrichment of stronger CRC association p-values for rare variant sets of CR ARE compared to non-digestive ARE (p-value = 0.029). CONCLUSIONS Integrative epigenomic RVAM may enable discovery of less frequent variants associated with CRC, and ARE of digestive and immune tissues are most informative. Although distance-based aggregation of less frequent variants in CR ARE surrounding TSS showed modest enrichment, future association studies would likely benefit from joint analysis of transcriptomes and epigenomes to better link regulatory variation with target genes.
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Affiliation(s)
- Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Paul L. Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, United States of America
| | - Tabitha A. Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Conghui Qu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Charles M. Connolly
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Peyton G. Greenside
- Biomedical Informatics Program, Stanford University, Stanford, California, United States of America
| | - Sai Chen
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire de Nantes, Nantes, France
| | - Hyun M. Kang
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jeroen Huyghe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - 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
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, United States of America
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Barbara L. Banbury
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology C020, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Robert W. Haile
- Division of Medical Oncology, Stanford School of Medicine, Stanford, California, United States of America
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christian Fuchsberger
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Suzanne M. Leal
- Department of Molecular and Human Genetics, Baylor College of Medicine Center for Statistical Genetics, Houston, Texas, United States of America
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, MaRS Centre, South Tower, Toronto, Ontario, Canada
| | - Polly A. Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Steven Gallinger
- Prevention and Cancer Control, Cancer Care Ontario, Toronto, Ontario, Canada
| | - John D. Potter
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Robert E. Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Martha L. Slattery
- Department of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah, United States of America
| | - Joshua D. Smith
- Department Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Loic Le Marchand
- University of Hawai’i Cancer Center, Honolulu, Hawai’i, United States of America
| | - Emily White
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Brent W. Zanke
- Division of Hematology, University of Ottawa, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Goncalo R. Abeçasis
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Christopher S. Carlson
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Deborah A. Nickerson
- Department Genome Sciences, University of Washington, Seattle, Washington, United States of America
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
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Gu F, Zhang H, Hyland PL, Berndt S, Gapstur SM, Wheeler W, Ellipse Consortium T, Amos CI, Bezieau S, Bickeböller H, Brenner H, Brennan P, Chang-Claude J, Conti DV, Doherty JA, Gruber SB, Harrison TA, Hayes RB, Hoffmeister M, Houlston RS, Hung RJ, Jenkins MA, Kraft P, Lawrenson K, McKay J, Markt S, Mucci L, Phelan CM, Qu C, Risch A, Rossing MA, Wichmann HE, Shi J, Schernhammer E, Yu K, Landi MT, Caporaso NE. Inherited variation in circadian rhythm genes and risks of prostate cancer and three other cancer sites in combined cancer consortia. Int J Cancer 2017; 141:1794-1802. [PMID: 28699174 PMCID: PMC5907928 DOI: 10.1002/ijc.30883] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 05/15/2017] [Accepted: 06/16/2017] [Indexed: 12/20/2022]
Abstract
Circadian disruption has been linked to carcinogenesis in animal models, but the evidence in humans is inconclusive. Genetic variation in circadian rhythm genes provides a tool to investigate such associations. We examined associations of genetic variation in nine core circadian rhythm genes and six melatonin pathway genes with risk of colorectal, lung, ovarian and prostate cancers using data from the Genetic Associations and Mechanisms in Oncology (GAME-ON) network. The major results for prostate cancer were replicated in the Prostate, Lung, Colorectal and Ovarian (PLCO) cancer screening trial, and for colorectal cancer in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). The total number of cancer cases and controls was 15,838/18,159 for colorectal, 14,818/14,227 for prostate, 12,537/17,285 for lung and 4,369/9,123 for ovary. For each cancer site, we conducted gene-based and pathway-based analyses by applying the summary-based Adaptive Rank Truncated Product method (sARTP) on the summary association statistics for each SNP within the candidate gene regions. Aggregate genetic variation in circadian rhythm and melatonin pathways were significantly associated with the risk of prostate cancer in data combining GAME-ON and PLCO, after Bonferroni correction (ppathway < 0.00625). The two most significant genes were NPAS2 (pgene = 0.0062) and AANAT (pgene = 0.00078); the latter being significant after Bonferroni correction. For colorectal cancer, we observed a suggestive association with the circadian rhythm pathway in GAME-ON (ppathway = 0.021); this association was not confirmed in GECCO (ppathway = 0.76) or the combined data (ppathway = 0.17). No significant association was observed for ovarian and lung cancer. These findings support a potential role for circadian rhythm and melatonin pathways in prostate carcinogenesis. Further functional studies are needed to better understand the underlying biologic mechanisms.
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Affiliation(s)
- Fangyi Gu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
- Department of Cancer Prevention and Control, Roswell Park Cancer Institute, Buffalo, NY
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Paula L Hyland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA
| | | | | | | | | | - Heike Bickeböller
- Department of Genetic Epidemiology, University Medical Center Göttingen, Göttingen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David V Conti
- Keck School of Medicine, University of South California, Los Angeles, CA
| | | | - Stephen B Gruber
- Keck School of Medicine, University of South California, Los Angeles, CA
| | - Tabitha A Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Richard B Hayes
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, Surrey, United Kingdom
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | | | - James McKay
- International Agency for Research on Cancer, Lyon, France
| | - Sarah Markt
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Lorelei Mucci
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
| | - Catherine M Phelan
- Department of Cancer Epidemiology, Population Sciences Division, Moffitt Cancer Center, Tampa, FL
| | - Conghui Qu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Angela Risch
- Division of Molecular Biology, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center, Heidelberg, Germany within the German Center for Lung Research (DZL), Giessen, Germany
- Division of Epigenomics and Cancer Risk Factors, DKFZ German Cancer Research Center, Heidelberg, Germany
| | - Mary Anne Rossing
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, University of Munich, Munich, Bavaria, Germany
- Helmholtz Center Munich, Institute of Epidemiology II, Neuherberg, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Eva Schernhammer
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Department of Epidemiology, Medical University of Vienna, Vienna, Austria
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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A Novel Approach for Pathway Analysis of GWAS Data Highlights Role of BMP Signaling and Muscle Cell Differentiation in Colorectal Cancer Susceptibility. Twin Res Hum Genet 2017; 20:1-9. [PMID: 28105966 DOI: 10.1017/thg.2016.100] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Genome-wide association studies (GWAS) have revolutionized the field of gene mapping. As the GWAS field matures, it is becoming clear that for many complex traits, a proportion of the missing heritability is attributable to common variants of individually small effect. Detecting these small effects individually can be difficult, and statistical power would be increased if relevant variants could be grouped together for testing. Here, we propose a VEGAS2Pathway approach that aggregates association strength of individual markers into pre-specified biological pathways. It accounts for gene size and linkage disequilibrium between markers using simulations from the multivariate normal distribution. Pathway size is taken into account via a resampling approach. Importantly, since the approach only requires summary data, the method can easily be applied in all GWASs, including meta-analysis, singleton-based, family-based, and DNA-pooling-based designs. This approach is implemented in a user-friendly web page https://vegas2.qimrberghofer.edu.au and a command line tool. The web implementation uses gene-sets from the gene ontology (GO), curated gene-sets from MSigDB (containing canonical pathways and gene-sets from BIOCARTA, REACTOME, KEGG databases), PANTHER, and pathway commons databases, enabling analysis of a wide range of complex traits. We applied this method on a colorectal cancer GWAS meta-analysis data set (10,934 cases, 12,328 controls) from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). We report statistically significant enrichment of association signal for the 'BMP signaling' and 'muscle cell differentiation' pathways, suggesting a possible role for these pathways onto the risk of colorectal cancer.
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135
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Stachowiak M, Flisikowska T, Bauersachs S, Perleberg C, Pausch H, Switonski M, Kind A, Saur D, Schnieke A, Flisikowski K. Altered microRNA profiles during early colon adenoma progression in a porcine model of familial adenomatous polyposis. Oncotarget 2017; 8:96154-96160. [PMID: 29221194 PMCID: PMC5707088 DOI: 10.18632/oncotarget.21774] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 09/23/2017] [Indexed: 01/14/2023] Open
Abstract
MicroRNAs are dysregulated in various cancers including colorectal cancer, and are potential useful biomarkers of disease development. We used next generation sequencing to investigate miRNA expression profiles in low- and high-grade intraepithelial dysplastic polyps from pigs carrying a mutation in the adenomatous polyposis coli tumour suppressor (APC1311 , orthologous to human APC1309 ) that model an inherited predisposition to colorectal cancer, familial adenomatous polyposis. We identified several miRNAs and their isomiRs significantly (P < 0.05) differentially expressed between low and high-grade intraepithelial dysplastic polyps. Of these, ssc-let-7e, ssc-miR-98, ssc-miR-146a-5p, ssc-miR-146b, ssc-miR-183 and ssc-miR-196a were expressed at higher level and ssc-miR-126-3p at lower level in high-grade intraepithelial dysplastic polyps. Functional miRNA target analysis revealed significant (P < 0.001) over-representation of cancer-related pathways, including 'microRNAs in cancer', 'proteoglycans in cancer', 'pathways in cancer' and 'colorectal cancer'. This is the first study to reveal miRNAs associated with premalignant transformation of colon polyps.
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Affiliation(s)
- Monika Stachowiak
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, 60-637 Poznan, Poland
| | - Tatiana Flisikowska
- Chair of Livestock Biotechnology, Technische Universität München, 85354 Freising, Germany
| | - Stefan Bauersachs
- Institute of Agricultural Sciences, Animal Physiology, ETH Zurich, CH-8092 Zurich, Switzerland.,Current address: University of Zurich, Clinic for Animal Reproduction Medicine, Genetics and Functional Genomics Group, CH-8092 Zurich, Switzerland
| | - Carolin Perleberg
- Chair of Livestock Biotechnology, Technische Universität München, 85354 Freising, Germany
| | - Hubert Pausch
- Institute of Agricultural Sciences, Animal Genomics, ETH Zurich, CH-8092 Zurich, Switzerland
| | - Marek Switonski
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, 60-637 Poznan, Poland
| | - Alexander Kind
- Chair of Livestock Biotechnology, Technische Universität München, 85354 Freising, Germany
| | - Dieter Saur
- Klinikum Rechts der Isar II, Technische Universität München, 81675 Munich, Germany
| | - Angelika Schnieke
- Chair of Livestock Biotechnology, Technische Universität München, 85354 Freising, Germany
| | - Krzysztof Flisikowski
- Chair of Livestock Biotechnology, Technische Universität München, 85354 Freising, Germany
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Bayesian and frequentist analysis of an Austrian genome-wide association study of colorectal cancer and advanced adenomas. Oncotarget 2017; 8:98623-98634. [PMID: 29228715 PMCID: PMC5716755 DOI: 10.18632/oncotarget.21697] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 09/03/2017] [Indexed: 12/17/2022] Open
Abstract
Most genome-wide association studies (GWAS) were analyzed using single marker tests in combination with stringent correction procedures for multiple testing. Thus, a substantial proportion of associated single nucleotide polymorphisms (SNPs) remained undetected and may account for missing heritability in complex traits. Model selection procedures present a powerful alternative to identify associated SNPs in high-dimensional settings. In this GWAS including 1060 colorectal cancer cases, 689 cases of advanced colorectal adenomas and 4367 controls we pursued a dual approach to investigate genome-wide associations with disease risk applying both, single marker analysis and model selection based on the modified Bayesian information criterion, mBIC2, implemented in the software package MOSGWA. For different case-control comparisons, we report models including between 1-14 candidate SNPs. A genome-wide significant association of rs17659990 (P=5.43×10-9, DOCK3, chromosome 3p21.2) with colorectal cancer risk was observed. Furthermore, 56 SNPs known to influence susceptibility to colorectal cancer and advanced adenoma were tested in a hypothesis-driven approach and several of them were found to be relevant in our Austrian cohort. After correction for multiple testing (α=8.9×10-4), the most significant associations were observed for SNPs rs10505477 (P=6.08×10-4) and rs6983267 (P=7.35×10-4) of CASC8, rs3802842 (P=8.98×10-5, COLCA1,2), and rs12953717 (P=4.64×10-4, SMAD7). All previously unreported SNPs demand replication in additional samples. Reanalysis of existing GWAS datasets using model selection as tool to detect SNPs associated with a complex trait may present a promising resource to identify further genetic risk variants not only for colorectal cancer.
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137
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De Arcangelis A, Hamade H, Alpy F, Normand S, Bruyère E, Lefebvre O, Méchine-Neuville A, Siebert S, Pfister V, Lepage P, Laquerriere P, Dembele D, Delanoye-Crespin A, Rodius S, Robine S, Kedinger M, Van Seuningen I, Simon-Assmann P, Chamaillard M, Labouesse M, Georges-Labouesse E. Hemidesmosome integrity protects the colon against colitis and colorectal cancer. Gut 2017; 66:1748-1760. [PMID: 27371534 PMCID: PMC5595104 DOI: 10.1136/gutjnl-2015-310847] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2015] [Revised: 05/12/2016] [Accepted: 05/30/2016] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Epidemiological and clinical data indicate that patients suffering from IBD with long-standing colitis display a higher risk to develop colorectal high-grade dysplasia. Whereas carcinoma invasion and metastasis rely on basement membrane (BM) disruption, experimental evidence is lacking regarding the potential contribution of epithelial cell/BM anchorage on inflammation onset and subsequent neoplastic transformation of inflammatory lesions. Herein, we analyse the role of the α6β4 integrin receptor found in hemidesmosomes that attach intestinal epithelial cells (IECs) to the laminin-containing BM. DESIGN We developed new mouse models inducing IEC-specific ablation of α6 integrin either during development (α6ΔIEC) or in adults (α6ΔIEC-TAM). RESULTS Strikingly, all α6ΔIEC mutant mice spontaneously developed long-standing colitis, which degenerated overtime into infiltrating adenocarcinoma. The sequence of events leading to disease onset entails hemidesmosome disruption, BM detachment, IL-18 overproduction by IECs, hyperplasia and enhanced intestinal permeability. Likewise, IEC-specific ablation of α6 integrin induced in adult mice (α6ΔIEC-TAM) resulted in fully penetrant colitis and tumour progression. Whereas broad-spectrum antibiotic treatment lowered tissue pathology and IL-1β secretion from infiltrating myeloid cells, it failed to reduce Th1 and Th17 response. Interestingly, while the initial intestinal inflammation occurred independently of the adaptive immune system, tumourigenesis required B and T lymphocyte activation. CONCLUSIONS We provide for the first time evidence that loss of IECs/BM interactions triggered by hemidesmosome disruption initiates the development of inflammatory lesions that progress into high-grade dysplasia and carcinoma. Colorectal neoplasia in our mouse models resemble that seen in patients with IBD, making them highly attractive for discovering more efficient therapies.
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Affiliation(s)
- Adèle De Arcangelis
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France
| | - Hussein Hamade
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France,Current address: F. Widjaja Foundation Inflammatory Bowel & Immunobiology Research Institute, Department of Medicine, Cedars Sinai Medical Center, Los Angeles, California, USA
| | - Fabien Alpy
- Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France,Inserm, U1109, MNT3 Team, Strasbourg, France,Current address: Department of Functional Genomics and Cancer, IGBMC, Illkirch, France
| | - Sylvain Normand
- CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019—UMR 8204—CIIL—Centre d'Infection et d'Immunité de Lille, Université de Lille, Lille, France
| | - Emilie Bruyère
- Inserm, Université de Lille, CHRU Lille, UMR-S 1172—Jean-Pierre Aubert Research Center, Lille, France
| | - Olivier Lefebvre
- Université de Strasbourg, Strasbourg, France,Inserm, U1109, MNT3 Team, Strasbourg, France,LabEx Medalis, Université de Strasbourg, Strasbourg, France,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Agnès Méchine-Neuville
- Inserm, U1109, MNT3 Team, Strasbourg, France,CHRU Strasbourg, Hôpital de Hautepierre, Service d'anatomo-pathologie, Strasbourg, France,Current address: Département de Pathologie, Institut Bergonie, Bordeaux, France
| | - Stéphanie Siebert
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France
| | - Véronique Pfister
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France
| | - Patricia Lepage
- UMR1319—MICALIS Institute, INRA, AgroParisTech,Université Paris-Saclay, Jouy-en-Josas, France
| | - Patrice Laquerriere
- Université de Strasbourg, Strasbourg, France,CNRS, UMR 7178, Institut Pluridisciplinaire Hubert Curien,Strasbourg, France
| | - Doulaye Dembele
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France
| | - Anne Delanoye-Crespin
- CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019—UMR 8204—CIIL—Centre d'Infection et d'Immunité de Lille, Université de Lille, Lille, France
| | - Sophie Rodius
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France,Current address: NORLUX Neuro-Oncology Laboratory, CRP-Santé, Luxembourg
| | - Sylvie Robine
- Institut Curie, Paris, France,CNRS, UMR 144, Paris, France
| | - Michèle Kedinger
- Université de Strasbourg, Strasbourg, France,Inserm, U1109, MNT3 Team, Strasbourg, France
| | - Isabelle Van Seuningen
- Inserm, Université de Lille, CHRU Lille, UMR-S 1172—Jean-Pierre Aubert Research Center, Lille, France
| | - Patricia Simon-Assmann
- Université de Strasbourg, Strasbourg, France,Inserm, U1109, MNT3 Team, Strasbourg, France,LabEx Medalis, Université de Strasbourg, Strasbourg, France,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Mathias Chamaillard
- CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019—UMR 8204—CIIL—Centre d'Infection et d'Immunité de Lille, Université de Lille, Lille, France
| | - Michel Labouesse
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France,Current address: UMR7622, IBPS, Université Pierre et Marie Curie, Paris, France
| | - Elisabeth Georges-Labouesse
- Department of Development and Stem Cells, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg, Illkirch, France,Inserm, U964, Illkirch, France,CNRS, UMR 7104, Illkirch, France,Université de Strasbourg, Strasbourg, France
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138
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Clawson GA, Matters GL, Xin P, McGovern C, Wafula E, dePamphilis C, Meckley M, Wong J, Stewart L, D’Jamoos C, Altman N, Imamura Kawasawa Y, Du Z, Honaas L, Abraham T. "Stealth dissemination" of macrophage-tumor cell fusions cultured from blood of patients with pancreatic ductal adenocarcinoma. PLoS One 2017; 12:e0184451. [PMID: 28957348 PMCID: PMC5619717 DOI: 10.1371/journal.pone.0184451] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 08/24/2017] [Indexed: 12/12/2022] Open
Abstract
Here we describe isolation and characterization of macrophage-tumor cell fusions (MTFs) from the blood of pancreatic ductal adenocarcinoma (PDAC) patients. The MTFs were generally aneuploidy, and immunophenotypic characterizations showed that the MTFs express markers characteristic of PDAC and stem cells, as well as M2-polarized macrophages. Single cell RNASeq analyses showed that the MTFs express many transcripts implicated in cancer progression, LINE1 retrotransposons, and very high levels of several long non-coding transcripts involved in metastasis (such as MALAT1). When cultured MTFs were transplanted orthotopically into mouse pancreas, they grew as obvious well-differentiated islands of cells, but they also disseminated widely throughout multiple tissues in "stealth" fashion. They were found distributed throughout multiple organs at 4, 8, or 12 weeks after transplantation (including liver, spleen, lung), occurring as single cells or small groups of cells, without formation of obvious tumors or any apparent progression over the 4 to 12 week period. We suggest that MTFs form continually during PDAC development, and that they disseminate early in cancer progression, forming "niches" at distant sites for subsequent colonization by metastasis-initiating cells.
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Affiliation(s)
- Gary A. Clawson
- Gittlen Cancer Research Laboratories and the Department of Pathology, Hershey Medical Center (HMC), Pennsylvania State University (PSU), Hershey, PA, United States of America
| | - Gail L. Matters
- Department of Biochemistry & Molecular Biology, HMC, PSU, Hershey, PA, United States of America
| | - Ping Xin
- Gittlen Cancer Research Laboratories and the Department of Pathology, Hershey Medical Center (HMC), Pennsylvania State University (PSU), Hershey, PA, United States of America
| | - Christopher McGovern
- Department of Biochemistry & Molecular Biology, HMC, PSU, Hershey, PA, United States of America
| | - Eric Wafula
- Department of Biology, Eberly College, University Park (UP), Pennsylvania State University, University Park, PA, United States of America
| | - Claude dePamphilis
- Department of Biology, Eberly College, University Park (UP), Pennsylvania State University, University Park, PA, United States of America
| | - Morgan Meckley
- Gittlen Cancer Research Laboratories and the Department of Pathology, Hershey Medical Center (HMC), Pennsylvania State University (PSU), Hershey, PA, United States of America
| | - Joyce Wong
- Department of Surgery, HMC, PSU, Hershey, PA, United States of America
| | - Luke Stewart
- Applications Support, Fluidigm Corporation, South San Francisco, CA, United States of America
| | - Christopher D’Jamoos
- Applications Support, Fluidigm Corporation, South San Francisco, CA, United States of America
| | - Naomi Altman
- Department of Statistics, Eberly College, UP, PSU, University Park, PA, United States of America
| | - Yuka Imamura Kawasawa
- Department of Pharmacology and Biochemistry & Molecular Biology, Institute for Personalized Medicine, HMC, PSU, Hershey, PA, United States of America
| | - Zhen Du
- Gittlen Cancer Research Laboratories and the Department of Pathology, Hershey Medical Center (HMC), Pennsylvania State University (PSU), Hershey, PA, United States of America
| | - Loren Honaas
- Department of Biology, Eberly College, University Park (UP), Pennsylvania State University, University Park, PA, United States of America
| | - Thomas Abraham
- Department of Neural & Behavioral Sciences and Microscopy Imaging Facility, HMC, PSU, Hershey, PA, United States of America
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139
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Wang N, Lu Y, Khankari NK, Long J, Li HL, Gao J, Gao YT, Xiang YB, Shu XO, Zheng W. Evaluation of genetic variants in association with colorectal cancer risk and survival in Asians. Int J Cancer 2017; 141:1130-1139. [PMID: 28567967 PMCID: PMC5524202 DOI: 10.1002/ijc.30812] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/16/2017] [Accepted: 05/22/2017] [Indexed: 12/14/2022]
Abstract
Genome-wide association studies (GWAS) have identified over 40 genetic loci associated with colorectal cancer (CRC) risk. The association of single nucleotide polymorphisms (SNPs) at these loci with CRC risk and survival has not been adequately evaluated in East Asians. GWAS-identified CRC risk variants were used to construct weighted genetic risk scores (GRSs). We evaluated these GRSs in association with CRC risk in 3,303 CRC cases and 3,553 controls using logistic regression models. Associations with overall and CRC-specific survival were assessed in 731 CRC patients using Cox regression models. The association between the GRSs (overall and Asian-specific) and CRC risk was approximately twofold (highest vs. lowest quintile), and the shape of the dose-response was linear (ptrend = 1.24 × 10-13 and 3.02 × 10-14 for overall GRS and Asian-specific GRS, respectively). The association of the GRS with CRC risk was stronger among those with a family history of CRC (pinteraction = 0.007). Asian-specific GRS using previously reported survival SNPs increased risk for mortality and the shape of the dose-response was linear for CRC-specific and all-cause mortality (ptrend = 0.01 and 0.006, respectively). Furthermore, the minor alleles of rs6983267 and rs1957636 were associated with worse CRC-specific and overall survival. We show that GRSs constructed using GWAS-identified common variants are strongly associated with CRC risk in Asians. We confirm previous findings for the possible association between some SNPs with survival, and provide evidence for two additional CRC risk variants that may be related to CRC survival.
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Affiliation(s)
- Nan Wang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
- Department of General Surgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, China
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Nikhil K. Khankari
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Hong-Lan Li
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jing Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
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140
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Wang H, Luo J, Liu C, Niu H, Wang J, Liu Q, Zhao Z, Xu H, Ding Y, Sun J, Zhang Q. Investigating MicroRNA and transcription factor co-regulatory networks in colorectal cancer. BMC Bioinformatics 2017; 18:388. [PMID: 28865443 PMCID: PMC5581471 DOI: 10.1186/s12859-017-1796-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2016] [Accepted: 08/21/2017] [Indexed: 02/06/2023] Open
Abstract
Background Colorectal cancer (CRC) is one of the most common malignancies worldwide with poor prognosis. Studies have showed that abnormal microRNA (miRNA) expression can affect CRC pathogenesis and development through targeting critical genes in cellular system. However, it is unclear about which miRNAs play central roles in CRC’s pathogenesis and how they interact with transcription factors (TFs) to regulate the cancer-related genes. Results To address this issue, we systematically explored the major regulation motifs, namely feed-forward loops (FFLs), that consist of miRNAs, TFs and CRC-related genes through the construction of a miRNA-TF regulatory network in CRC. First, we compiled CRC-related miRNAs, CRC-related genes, and human TFs from multiple data sources. Second, we identified 13,123 3-node FFLs including 25 miRNA-FFLs, 13,005 TF-FFLs and 93 composite-FFLs, and merged the 3-node FFLs to construct a CRC-related regulatory network. The network consists of three types of regulatory subnetworks (SNWs): miRNA-SNW, TF-SNW, and composite-SNW. To enhance the accuracy of the network, the results were filtered by using The Cancer Genome Atlas (TCGA) expression data in CRC, whereby we generated a core regulatory network consisting of 58 significant FFLs. We then applied a hub identification strategy to the significant FFLs and found 5 significant components, including two miRNAs (hsa-miR-25 and hsa-miR-31), two genes (ADAMTSL3 and AXIN1) and one TF (BRCA1). The follow up prognosis analysis indicated all of the 5 significant components having good prediction of overall survival of CRC patients. Conclusions In summary, we generated a CRC-specific miRNA-TF regulatory network, which is helpful to understand the complex CRC regulatory mechanisms and guide clinical treatment. The discovered 5 regulators might have critical roles in CRC pathogenesis and warrant future investigation. Electronic supplementary material The online version of this article (10.1186/s12859-017-1796-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hao Wang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jiamao Luo
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Chun Liu
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Huilin Niu
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jing Wang
- Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
| | - Qi Liu
- Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
| | - Zhongming Zhao
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.,Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Yanqing Ding
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China
| | - Jingchun Sun
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
| | - Qingling Zhang
- Department of Pathology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. .,Department of Pathology, College of Basic Medicine, Southern Medical University, Guangzhou, 510515, China.
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141
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Zhao W, Chen YQ, Hsu L. On estimation of time-dependent attributable fraction from population-based case-control studies. Biometrics 2017; 73:866-875. [PMID: 28099992 PMCID: PMC5515699 DOI: 10.1111/biom.12648] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Revised: 11/01/2016] [Accepted: 11/01/2016] [Indexed: 11/29/2022]
Abstract
Population attributable fraction (PAF) is widely used to quantify the disease burden associated with a modifiable exposure in a population. It has been extended to a time-varying measure that provides additional information on when and how the exposure's impact varies over time for cohort studies. However, there is no estimation procedure for PAF using data that are collected from population-based case-control studies, which, because of time and cost efficiency, are commonly used for studying genetic and environmental risk factors of disease incidences. In this article, we show that time-varying PAF is identifiable from a case-control study and develop a novel estimator of PAF. Our estimator combines odds ratio estimates from logistic regression models and density estimates of the risk factor distribution conditional on failure times in cases from a kernel smoother. The proposed estimator is shown to be consistent and asymptotically normal with asymptotic variance that can be estimated empirically from the data. Simulation studies demonstrate that the proposed estimator performs well in finite sample sizes. Finally, the method is illustrated by a population-based case-control study of colorectal cancer.
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Affiliation(s)
- Wei Zhao
- Department of Biostatistics, University of Washington, Seattle, Washington, U.S.A
| | - Ying Qing Chen
- Biostatistics and Biomathematics Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
| | - Li Hsu
- Biostatistics and Biomathematics Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A
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142
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Lindström S, Finucane H, Bulik-Sullivan B, Schumacher FR, Amos CI, Hung RJ, Rand K, Gruber SB, Conti D, Permuth JB, Lin HY, Goode EL, Sellers TA, Amundadottir LT, Stolzenberg-Solomon R, Klein A, Petersen G, Risch H, Wolpin B, Hsu L, Huyghe JR, Chang-Claude J, Chan A, Berndt S, Eeles R, Easton D, Haiman CA, Hunter DJ, Neale B, Price AL, Kraft P. Quantifying the Genetic Correlation between Multiple Cancer Types. Cancer Epidemiol Biomarkers Prev 2017; 26:1427-1435. [PMID: 28637796 PMCID: PMC5582139 DOI: 10.1158/1055-9965.epi-17-0211] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 05/03/2017] [Accepted: 06/06/2017] [Indexed: 01/01/2023] Open
Abstract
Background: Many cancers share specific genetic risk factors, including both rare high-penetrance mutations and common SNPs identified through genome-wide association studies (GWAS). However, little is known about the overall shared heritability across cancers. Quantifying the extent to which two distinct cancers share genetic origin will give insights to shared biological mechanisms underlying cancer and inform design for future genetic association studies.Methods: In this study, we estimated the pair-wise genetic correlation between six cancer types (breast, colorectal, lung, ovarian, pancreatic, and prostate) using cancer-specific GWAS summary statistics data based on 66,958 case and 70,665 control subjects of European ancestry. We also estimated genetic correlations between cancers and 14 noncancer diseases and traits.Results: After adjusting for 15 pair-wise genetic correlation tests between cancers, we found significant (P < 0.003) genetic correlations between pancreatic and colorectal cancer (rg = 0.55, P = 0.003), lung and colorectal cancer (rg = 0.31, P = 0.001). We also found suggestive genetic correlations between lung and breast cancer (rg = 0.27, P = 0.009), and colorectal and breast cancer (rg = 0.22, P = 0.01). In contrast, we found no evidence that prostate cancer shared an appreciable proportion of heritability with other cancers. After adjusting for 84 tests studying genetic correlations between cancer types and other traits (Bonferroni-corrected P value: 0.0006), only the genetic correlation between lung cancer and smoking remained significant (rg = 0.41, P = 1.03 × 10-6). We also observed nominally significant genetic correlations between body mass index and all cancers except ovarian cancer.Conclusions: Our results highlight novel genetic correlations and lend support to previous observational studies that have observed links between cancers and risk factors.Impact: This study demonstrates modest genetic correlations between cancers; in particular, breast, colorectal, and lung cancer share some degree of genetic basis. Cancer Epidemiol Biomarkers Prev; 26(9); 1427-35. ©2017 AACR.
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Affiliation(s)
- Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, Washington.
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Hilary Finucane
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Brendan Bulik-Sullivan
- The Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Fredrick R Schumacher
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio
- Seidman Cancer Center, University Hospitals, Cleveland, Ohio
| | - Christopher I Amos
- Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Kristin Rand
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Stephen B Gruber
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David Conti
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer B Permuth
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Gastrointestinal Oncology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Hui-Yi Lin
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Thomas A Sellers
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Laufey T Amundadottir
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Alison Klein
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Gloria Petersen
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Harvey Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Brian Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jeroen R Huyghe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andrew Chan
- Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Rosalind Eeles
- Division of Genetics and Epidemiology, The Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Douglas Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - David J Hunter
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Benjamin Neale
- The Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts
| | - Alkes L Price
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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143
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Dassano A, Pintarelli G, Cotroneo CE, Pettinicchio A, Forcati E, De Cecco L, Borrego A, Colombo F, Dragani TA, Manenti G. Complex genetic control of lung tumorigenesis in resistant mice strains. Cancer Sci 2017; 108:2281-2286. [PMID: 28796413 PMCID: PMC5666032 DOI: 10.1111/cas.13349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/27/2017] [Accepted: 08/05/2017] [Indexed: 12/18/2022] Open
Abstract
The SM/J mouse strain is resistant to chemically‐induced lung tumorigenesis despite having a haplotype, in the pulmonary adenoma susceptibility locus (Pas1) locus, that confers tumor susceptibility in other strains. To clarify this inconsistent genotype‐phenotype correlation, we crossed SM/J mice with another resistant strain and conducted genome‐wide linkage analysis in the (C57BL/6J × SM/J)F2 progeny exposed to urethane to induce lung tumors. Overall, >80% of F2 mice of both sexes developed from 1 to 20 lung tumors. Genotyping of 372 F2 mice for 744 informative non‐redundant SNPs dispersed over all autosomal chromosomes revealed four quantitative trait loci (QTLs) affecting lung tumor multiplicity, on chromosomes 3 (near rs13477379), 15 (rs6285067), 17 (rs33373629) and 18 (rs3706601), all with logarithm of the odds (LOD) scores >5. Four QTLs modulated total lung tumor volume, on chromosome 3 (rs13477379), 10 (rs13480702), 15 (rs6285067) and 17 (rs3682923), all with LOD scores >4. No QTL modulating lung tumor multiplicity or total volume was detected in Pas1 on chromosome 6. The present study demonstrates that the SM/J strain carries, at the Pas1 locus, the resistance allele: a finding that will facilitate identification of the Pas1 causal element. More generally, it demonstrates that lung tumorigenesis is under complex polygenic control even in a pedigree with low susceptibility to this neoplasia, suggesting that the genetics of lung tumorigenesis is much more complex than evidenced by the pulmonary adenoma susceptibility and resistance loci that have, so far, been mapped in a small number of crosses between a few inbred strains.
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Affiliation(s)
- Alice Dassano
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Giulia Pintarelli
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara E Cotroneo
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Angela Pettinicchio
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Elena Forcati
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Loris De Cecco
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy.,Department of Experimental Oncology and Molecular medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Andrea Borrego
- Laboratory of Immunogenetics, Instituto Butantan, São Paulo, Brazil
| | - Francesca Colombo
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Tommaso A Dragani
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Giacomo Manenti
- Department of Predictive and Preventive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
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144
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Iwasaki M, Tanaka-Mizuno S, Kuchiba A, Yamaji T, Sawada N, Goto A, Shimazu T, Sasazuki S, Wang H, Marchand LL, Tsugane S. Inclusion of a Genetic Risk Score into a Validated Risk Prediction Model for Colorectal Cancer in Japanese Men Improves Performance. Cancer Prev Res (Phila) 2017; 10:535-541. [PMID: 28729251 DOI: 10.1158/1940-6207.capr-17-0141] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 06/22/2017] [Accepted: 07/11/2017] [Indexed: 11/16/2022]
Abstract
We previously developed and validated a risk prediction model for colorectal cancer in Japanese men using modifiable risk factors. To further improve risk prediction, we evaluated the degree of improvement obtained by adding a genetic risk score (GRS) using genome-wide association study (GWAS)-identified risk variants to our validated model. We examined the association between 36 risk variants identified by GWAS and colorectal cancer risk using a weighted Cox proportional hazards model in a nested case-control study within the Japan Public Health Center-based Prospective Study. GRS was constructed using six variants associated with risk in this study of the 36 tested. We assessed three models: a nongenetic model that included the same variables used in our previously validated model; a genetic model that used GRS; and an inclusive model, which included both. The c-statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were calculated by the 5-fold cross-validation method. We estimated 10-year absolute risks for developing colorectal cancer. A statistically significant association was observed between the weighted GRS and colorectal cancer risk. The mean c-statistic for the inclusive model (0.66) was slightly greater than that for the nongenetic model (0.60). Similarly, the mean IDI and NRI showed improvement when comparing the nongenetic and inclusive models. These models for colorectal cancer were well calibrated. The addition of GRS using GWAS-identified risk variants to our validated model for Japanese men improved the prediction of colorectal cancer risk. Cancer Prev Res; 10(9); 535-41. ©2017 AACR.
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Affiliation(s)
- Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
| | - Sachiko Tanaka-Mizuno
- Division of Medical Statistics, Shiga University of Medical Science, Tsukinowa Seta-cho, Ohtsu, Shiga, Japan
| | - Aya Kuchiba
- Division of Biostatistical Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Atsushi Goto
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shizuka Sasazuki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hansong Wang
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
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145
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Rashkin S, Jun G, Chen S, Abecasis GR. Optimal sequencing strategies for identifying disease-associated singletons. PLoS Genet 2017. [PMID: 28640830 PMCID: PMC5501675 DOI: 10.1371/journal.pgen.1006811] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
With the increasing focus of genetic association on the identification of trait-associated rare variants through sequencing, it is important to identify the most cost-effective sequencing strategies for these studies. Deep sequencing will accurately detect and genotype the most rare variants per individual, but may limit sample size. Low pass sequencing will miss some variants in each individual but has been shown to provide a cost-effective alternative for studies of common variants. Here, we investigate the impact of sequencing depth on studies of rare variants, focusing on singletons—the variants that are sampled in a single individual and are hardest to detect at low sequencing depths. We first estimate the sensitivity to detect singleton variants in both simulated data and in down-sampled deep genome and exome sequence data. We then explore the power of association studies comparing burden of singleton variants in cases and controls under a variety of conditions. We show that the power to detect singletons increases with coverage, typically plateauing for coverage > ~25x. Next, we show that, when total sequencing capacity is fixed, the power of association studies focused on singletons is typically maximized for coverage of 15-20x, independent of relative risk, disease prevalence, singleton burden, and case-control ratio. Our results suggest sequencing depth of 15-20x as an appropriate compromise of singleton detection power and sample size for studies of rare variants in complex disease. Genetic studies of rare variants can help us understand the biology of human disease. With modern techniques and sufficient effort, it is possible to very accurately resolve any human genome, identifying most of its unique features. When funding is limited, applying these techniques to study human disease often involves a trade-off between examining more samples, at reduced accuracy per sample, or fewer samples, each at greater accuracy. We evaluate these trade-offs for studies of very rare variants, using both simulation and real data. We propose cost effective strategies for increasing our understanding of human disease.
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Affiliation(s)
- Sara Rashkin
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America
- * E-mail: (SR); (GRA)
| | - Goo Jun
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Sai Chen
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
| | | | - Goncalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail: (SR); (GRA)
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146
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Park SL, Cheng I, Haiman CA. Genome-Wide Association Studies of Cancer in Diverse Populations. Cancer Epidemiol Biomarkers Prev 2017. [PMID: 28637795 DOI: 10.1158/1055-9965.epi-17-0169] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Genome-wide association studies (GWAS) of cancer have identified more than 700 risk loci, of which approximately 80% were first discovered in European ancestry populations, approximately 15% in East Asians, 3% in multiethnic scans, and less than 1% in African and Latin American populations. These percentages closely mirror the distribution of samples included in the discovery phase of cancer GWAS to date (84% European, 11% East Asian, 4% African, and 1% Latin American ancestry). GWAS in non-European ancestry populations have provided insight into ancestry-specific variation in cancer and have pointed to regions of susceptibility that are of particular importance in certain populations. Uncovering and characterizing cancer risk loci in diverse populations is critical for understanding underlying biological mechanisms and developing future genetic risk prediction models in non-European ancestry populations. New GWAS and continued collaborations will be required to eliminate population inequalities in the number of studies, sample sizes, and variant content on GWAS arrays, and to better align genetic research in cancer to the global distribution of race/ethnicity Cancer Epidemiol Biomarkers Prev; 27(4); 405-17. ©2018 AACRSee all articles in this CEBP Focus section, "Genome-Wide Association Studies in Cancer."
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Affiliation(s)
- Sungshim L Park
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Iona Cheng
- Cancer Prevention Institute of California, Fremont, California.,Stanford Cancer Institute, Palo Alto, California
| | - Christopher A Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
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147
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Toth R, Scherer D, Kelemen LE, Risch A, Hazra A, Balavarca Y, Issa JPJ, Moreno V, Eeles RA, Ogino S, Wu X, Ye Y, Hung RJ, Goode EL, Ulrich CM. Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev 2017; 26:816-825. [PMID: 28115406 PMCID: PMC6054308 DOI: 10.1158/1055-9965.epi-16-0728] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 12/16/2016] [Accepted: 12/19/2016] [Indexed: 11/16/2022] Open
Abstract
Background: Epigenetic disturbances are crucial in cancer initiation, potentially with pleiotropic effects, and may be influenced by the genetic background.Methods: In a subsets (ASSET) meta-analytic approach, we investigated associations of genetic variants related to epigenetic mechanisms with risks of breast, lung, colorectal, ovarian and prostate carcinomas using 51,724 cases and 52,001 controls. False discovery rate-corrected P values (q values < 0.05) were considered statistically significant.Results: Among 162,887 imputed or genotyped variants in 555 candidate genes, SNPs in eight genes were associated with risk of more than one cancer type. For example, variants in BABAM1 were confirmed as a susceptibility locus for squamous cell lung, overall breast, estrogen receptor (ER)-negative breast, and overall prostate, and overall serous ovarian cancer; the most significant variant was rs4808076 [OR = 1.14; 95% confidence interval (CI) = 1.10-1.19; q = 6.87 × 10-5]. DPF1 rs12611084 was inversely associated with ER-negative breast, endometrioid ovarian, and overall and aggressive prostate cancer risk (OR = 0.93; 95% CI = 0.91-0.96; q = 0.005). Variants in L3MBTL3 were associated with colorectal, overall breast, ER-negative breast, clear cell ovarian, and overall and aggressive prostate cancer risk (e.g., rs9388766: OR = 1.06; 95% CI = 1.03-1.08; q = 0.02). Variants in TET2 were significantly associated with overall breast, overall prostate, overall ovarian, and endometrioid ovarian cancer risk, with rs62331150 showing bidirectional effects. Analyses of subpathways did not reveal gene subsets that contributed disproportionately to susceptibility.Conclusions: Functional and correlative studies are now needed to elucidate the potential links between germline genotype, epigenetic function, and cancer etiology.Impact: This approach provides novel insight into possible pleiotropic effects of genes involved in epigenetic processes. Cancer Epidemiol Biomarkers Prev; 26(6); 816-25. ©2017 AACR.
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Affiliation(s)
- Reka Toth
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dominique Scherer
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany
| | - Linda E Kelemen
- Medical University of South Carolina and Hollings Cancer Center, Charleston, South Carolina
| | - Angela Risch
- Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Cancer Research and Epigenetics, Department of Molecular Biology, University of Salzburg, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Aditi Hazra
- Brigham and Women's Hospital, Harvard Medical School, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Yesilda Balavarca
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Victor Moreno
- Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Catalonia, Spain
| | | | - Shuji Ogino
- Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario, Canada
- University of Toronto, Toronto, Canada
| | - Ellen L Goode
- Mayo Clinic College of Medicine, Rochester, Minnesota
| | - Cornelia M Ulrich
- National Center for Tumor Diseases and German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Fred Hutchinson Cancer Research Center, Seattle, Washington
- Huntsman Cancer Institute, Salt Lake City, Utah
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148
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Loo LWM, Lemire M, Le Marchand L. In silico pathway analysis and tissue specific cis-eQTL for colorectal cancer GWAS risk variants. BMC Genomics 2017; 18:381. [PMID: 28506205 PMCID: PMC5432975 DOI: 10.1186/s12864-017-3750-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 05/02/2017] [Indexed: 02/08/2023] Open
Abstract
Background Genome-wide association studies have identified 55 genetic variants associated with colorectal cancer risk to date. However, potential causal genes and pathways regulated by these risk variants remain to be characterized. Therefore, we performed gene ontology enrichment and pathway analyses to determine if there was an enrichment of genes in proximity to the colorectal cancer risk variants that could further elucidate the probable causal genes and pathways involved in colorectal cancer biology. Results For the 65 unique genes that either contained, or were immediately neighboring up- and downstream, of these variants there was a significant enrichment for the KEGG pathway, Pathways in Cancer (p-value = 2.67 × 10−5) and an enrichment for multiple biological processes (FDR < 0.05), such as cell junction organization, tissue morphogenesis, regulation of SMAD protein phosphorylation, and odontogenesis identified through Gene Ontology analysis. To identify potential causal genes, we conducted a cis-expression quantitative trait loci (cis-eQTL) analysis using gene expression and genotype data from the Genotype-Tissue Expression (GTEx) Project portal in normal sigmoid (n = 124) and transverse (n = 169) colon tissue. In addition, we also did a cis-eQTL analysis on colorectal tumor tissue (n = 147) from The Cancer Genome Atlas (TCGA). We identified two risk alleles that were significant cis-eQTLs for FADS2 (rs1535) and COLCA1 and 2 (rs3802842) genes in the normal transverse colon tissue and two risk alleles that were significant cis-eQTLs for the CABLES2 (rs2427308) and LIPG (rs7229639) genes in the normal sigmoid colon tissue, but not tumor tissue. Conclusions Our data reaffirm the potential to identify an enrichment for biological processes and candidate causal genes based on expression profiles correlated with genetic risk alleles of colorectal cancer, however, the identification of these significant cis-eQTLs is context and tissue specific. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3750-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lenora W M Loo
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
| | - Mathieu Lemire
- Ontario Institute for Cancer Research, MaRS Centre, 661 University Avenue, Suite 510, Toronto, ON, M5G 0A3, Canada
| | - Loïc Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
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149
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Moridikia A, Mirzaei H, Sahebkar A, Salimian J. MicroRNAs: Potential candidates for diagnosis and treatment of colorectal cancer. J Cell Physiol 2017; 233:901-913. [PMID: 28092102 DOI: 10.1002/jcp.25801] [Citation(s) in RCA: 140] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 01/13/2017] [Indexed: 12/13/2022]
Abstract
Colorectal cancer (CRC) is known as the third common cancer worldwide and an important public health problem in different populations. Several genetics and environmental risk factors are involved in the development and progression of CRC including chromosomal abnormalities, epigenetic alterations, and unhealthy lifestyle. Identification of risk factors and biomarkers could lead to a better understanding of molecular pathways involved in CRC pathogenesis. MicroRNAs (miRNAs) are important regulatory molecules which could affect a variety of cellular and molecular targets in CRC. A large number of studies have indicated deregulations of some known tissue-specific miRNAs, for example, miR-21, miR-9, miR-155, miR-17, miR-19, let-7, and miR-24 as well as circulating miRNAs, for example, miR-181b, miR-21, miR-183, let-7g, miR-17, and miR-126, in patients with CRC. In the current review, we focus on the findings of preclinical and clinical studies performed on tissue-specific and circulating miRNAs as diagnostic biomarkers and therapeutic targets for the detection of patients at various stages of CRC.
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Affiliation(s)
- Abdullah Moridikia
- Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hamed Mirzaei
- Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.,Department of Medical Biotechnology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Department of Medical Biotechnology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Biotechnology Research Center, Mashhad University of Medical Science, Mashhad, Iran
| | - Jafar Salimian
- Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
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150
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Spira A, Yurgelun MB, Alexandrov L, Rao A, Bejar R, Polyak K, Giannakis M, Shilatifard A, Finn OJ, Dhodapkar M, Kay NE, Braggio E, Vilar E, Mazzilli SA, Rebbeck TR, Garber JE, Velculescu VE, Disis ML, Wallace DC, Lippman SM. Precancer Atlas to Drive Precision Prevention Trials. Cancer Res 2017; 77:1510-1541. [PMID: 28373404 PMCID: PMC6681830 DOI: 10.1158/0008-5472.can-16-2346] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 01/20/2017] [Accepted: 01/20/2017] [Indexed: 02/07/2023]
Abstract
Cancer development is a complex process driven by inherited and acquired molecular and cellular alterations. Prevention is the holy grail of cancer elimination, but making this a reality will take a fundamental rethinking and deep understanding of premalignant biology. In this Perspective, we propose a national concerted effort to create a Precancer Atlas (PCA), integrating multi-omics and immunity - basic tenets of the neoplastic process. The biology of neoplasia caused by germline mutations has led to paradigm-changing precision prevention efforts, including: tumor testing for mismatch repair (MMR) deficiency in Lynch syndrome establishing a new paradigm, combinatorial chemoprevention efficacy in familial adenomatous polyposis (FAP), signal of benefit from imaging-based early detection research in high-germline risk for pancreatic neoplasia, elucidating early ontogeny in BRCA1-mutation carriers leading to an international breast cancer prevention trial, and insights into the intricate germline-somatic-immunity interaction landscape. Emerging genetic and pharmacologic (metformin) disruption of mitochondrial (mt) respiration increased autophagy to prevent cancer in a Li-Fraumeni mouse model (biology reproduced in clinical pilot) and revealed profound influences of subtle changes in mt DNA background variation on obesity, aging, and cancer risk. The elaborate communication between the immune system and neoplasia includes an increasingly complex cellular microenvironment and dynamic interactions between host genetics, environmental factors, and microbes in shaping the immune response. Cancer vaccines are in early murine and clinical precancer studies, building on the recent successes of immunotherapy and HPV vaccine immune prevention. Molecular monitoring in Barrett's esophagus to avoid overdiagnosis/treatment highlights an important PCA theme. Next generation sequencing (NGS) discovered age-related clonal hematopoiesis of indeterminate potential (CHIP). Ultra-deep NGS reports over the past year have redefined the premalignant landscape remarkably identifying tiny clones in the blood of up to 95% of women in their 50s, suggesting that potentially premalignant clones are ubiquitous. Similar data from eyelid skin and peritoneal and uterine lavage fluid provide unprecedented opportunities to dissect the earliest phases of stem/progenitor clonal (and microenvironment) evolution/diversity with new single-cell and liquid biopsy technologies. Cancer mutational signatures reflect exogenous or endogenous processes imprinted over time in precursors. Accelerating the prevention of cancer will require a large-scale, longitudinal effort, leveraging diverse disciplines (from genetics, biochemistry, and immunology to mathematics, computational biology, and engineering), initiatives, technologies, and models in developing an integrated multi-omics and immunity PCA - an immense national resource to interrogate, target, and intercept events that drive oncogenesis. Cancer Res; 77(7); 1510-41. ©2017 AACR.
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Affiliation(s)
- Avrum Spira
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Matthew B Yurgelun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ludmil Alexandrov
- Theoretical Division, Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico
| | - Anjana Rao
- Division of Signaling and Gene Expression, La Jolla Institute for Allergy and Immunology, La Jolla, California
| | - Rafael Bejar
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Ali Shilatifard
- Department of Biochemistry and Molecular Genetics, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Olivera J Finn
- Department of Immunology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Madhav Dhodapkar
- Department of Hematology and Immunology, Yale Cancer Center, New Haven, Connecticut
| | - Neil E Kay
- Department of Hematology, Mayo Clinic Hospital, Rochester, Minnesota
| | - Esteban Braggio
- Department of Hematology, Mayo Clinic Hospital, Phoenix, Arizona
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sarah A Mazzilli
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Pathology and Bioinformatics, Boston University School of Medicine, Boston, Massachusetts
| | - Timothy R Rebbeck
- Division of Hematology and Oncology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Judy E Garber
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Victor E Velculescu
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
- Department of Pathology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Mary L Disis
- Department of Medicine, Center for Translational Medicine in Women's Health, University of Washington, Seattle, Washington
| | - Douglas C Wallace
- Center for Mitochondrial and Epigenomic Medicine, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Scott M Lippman
- Department of Medicine, Moores Cancer Center, University of California San Diego, La Jolla, California.
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