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Liu Y, Peng C, Brorson IS, O'Mahony DG, Kelly RL, Heng YJ, Baker GM, Grenaker Alnæs GI, Bodelon C, Stover DG, Van Allen EM, Eliassen AH, Kristensen VN, Tamimi RM, Kraft P. Germline polygenic risk scores are associated with immune gene expression signature and immune cell infiltration in breast cancer. Am J Hum Genet 2024:S0002-9297(24)00295-7. [PMID: 39270649 DOI: 10.1016/j.ajhg.2024.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 08/13/2024] [Accepted: 08/13/2024] [Indexed: 09/15/2024] Open
Abstract
The tumor immune microenvironment (TIME) plays key roles in tumor progression and response to immunotherapy. Previous studies have identified individual germline variants associated with differences in TIME. Here, we hypothesize that common variants associated with breast cancer risk or cancer-related traits, represented by polygenic risk scores (PRSs), may jointly influence immune features in TIME. We derived 154 immune traits from bulk gene expression profiles of 764 breast tumors and 598 adjacent normal tissue samples from 825 individuals with breast cancer in the Nurses' Health Study (NHS) and NHSII. Immunohistochemical staining of four immune cell markers were available for a subset of 205 individuals. Germline PRSs were calculated for 16 different traits including breast cancer, autoimmune diseases, type 2 diabetes, ages at menarche and menopause, body mass index (BMI), BMI-adjusted waist-to-hip ratio, alcohol intake, and tobacco smoking. Overall, we identified 44 associations between germline PRSs and immune traits at false discovery rate q < 0.25, including 3 associations with q < 0.05. We observed consistent inverse associations of inflammatory bowel disease (IBD) and Crohn disease (CD) PRSs with interferon signaling and STAT1 scores in breast tumor and adjacent normal tissue; these associations were replicated in a Norwegian cohort. Inverse associations were also consistently observed for IBD PRS and B cell abundance in normal tissue. We also observed positive associations between CD PRS and endothelial cell abundance in tumor. Our findings suggest that the genetic mechanisms that influence immune-related diseases are also associated with TIME in breast cancer.
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Affiliation(s)
- Yuxi Liu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Cheng Peng
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ina S Brorson
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Denise G O'Mahony
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Rebecca L Kelly
- Cancer Prevention Fellowship Program, National Cancer Institute, Rockville, MD, USA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Gabrielle M Baker
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Grethe I Grenaker Alnæs
- Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Clara Bodelon
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Daniel G Stover
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Columbus, OH, USA; Department of Biomedical Informatics, Ohio State University, Columbus, OH, USA
| | - Eliezer M Van Allen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Vessela N Kristensen
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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2
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Kapsetaki SE, Compton ZT, Mellon W, Vincze O, Giraudeau M, Harrison TM, Abegglen LM, Boddy AM, Maley CC, Schiffman JD. Germline mutation rate predicts cancer mortality across 37 vertebrate species. Evol Med Public Health 2024; 12:122-128. [PMID: 39233763 PMCID: PMC11372239 DOI: 10.1093/emph/eoae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 08/05/2024] [Indexed: 09/06/2024] Open
Abstract
Background and objectives Cancer develops across nearly every species. However, cancer occurs at unexpected and widely different rates throughout the animal kingdom. The reason for this variation in cancer susceptibility remains an area of intense investigation. Cancer evolves in part through the accumulation of mutations, and therefore, we hypothesized that germline mutation rates would be associated with cancer prevalence and mortality across species. Methodology We collected previously published data on germline mutation rate and cancer mortality data for 37 vertebrate species. Results Germline mutation rate was positively correlated with cancer mortality (P-value = 0.0008; R2 = 0.13). Controlling for species' average parental age, maximum longevity, adult body mass or domestication did not improve the model fit (the change (Δ) in Akaike Information Criterion (AIC) was less than 2). However, this model fit was better than a model controlling for species trophic level (ΔAIC > 2). Conclusions and implications The increased death rate from cancer in animals with increased germline mutation rates may suggest underlying hereditary cancer predisposition syndromes similar to those diagnosed in human patients. Species with higher germline mutation rates may benefit from close monitoring for tumors due to increased genetic risk for cancer development. Early diagnoses of cancer in these species may increase their chances of overall survival, especially for threatened and endangered species.
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Affiliation(s)
- Stefania E Kapsetaki
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- Department of Biology, School of Arts and Sciences, Tufts University, Medford, MA, USA
| | - Zachary T Compton
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- University of Arizona Cancer Center, Tucson, AZ, USA
- University of Arizona College of Medicine, Tucson, AZ, USA
| | - Walker Mellon
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
| | - Orsolya Vincze
- Evolutionary Ecology Group, Hungarian Department of Biology and Ecology, Babeș-Bolyai University, Cluj-Napoca, Romania
- Institute of Aquatic Ecology, Centre for Ecological Research, Debrecen, Hungary
| | - Mathieu Giraudeau
- Littoral Environnement Et Sociétés (LIENSs), UMR7266, CNRS Université de La Rochelle, 2 rue Olympe de Gouges, 17042 La Rochelle Cedex, France
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC 27607, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
| | - Lisa M Abegglen
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Peel Therapeutics, Inc., Salt Lake City, UT, USA
| | - Amy M Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Exotic Species Cancer Research Alliance, North Carolina State University, Raleigh, NC 27607, USA
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
- School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Joshua D Schiffman
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- Peel Therapeutics, Inc., Salt Lake City, UT, USA
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3
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Senkin S, Moody S, Díaz-Gay M, Abedi-Ardekani B, Cattiaux T, Ferreiro-Iglesias A, Wang J, Fitzgerald S, Kazachkova M, Vangara R, Le AP, Bergstrom EN, Khandekar A, Otlu B, Cheema S, Latimer C, Thomas E, Atkins JR, Smith-Byrne K, Cortez Cardoso Penha R, Carreira C, Chopard P, Gaborieau V, Keski-Rahkonen P, Jones D, Teague JW, Ferlicot S, Asgari M, Sangkhathat S, Attawettayanon W, Świątkowska B, Jarmalaite S, Sabaliauskaite R, Shibata T, Fukagawa A, Mates D, Jinga V, Rascu S, Mijuskovic M, Savic S, Milosavljevic S, Bartlett JMS, Albert M, Phouthavongsy L, Ashton-Prolla P, Botton MR, Silva Neto B, Bezerra SM, Curado MP, Zequi SDC, Reis RM, Faria EF, de Menezes NS, Ferrari RS, Banks RE, Vasudev NS, Zaridze D, Mukeriya A, Shangina O, Matveev V, Foretova L, Navratilova M, Holcatova I, Hornakova A, Janout V, Purdue MP, Rothman N, Chanock SJ, Ueland PM, Johansson M, McKay J, Scelo G, Chanudet E, Humphreys L, de Carvalho AC, Perdomo S, Alexandrov LB, Stratton MR, Brennan P. Geographic variation of mutagenic exposures in kidney cancer genomes. Nature 2024; 629:910-918. [PMID: 38693263 PMCID: PMC11111402 DOI: 10.1038/s41586-024-07368-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 03/28/2024] [Indexed: 05/03/2024]
Abstract
International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not yet been identified by conventional epidemiology make a substantial contribution to cancer burden1. In clear cell renal cell carcinoma, obesity, hypertension and tobacco smoking are risk factors, but they do not explain the geographical variation in its incidence2. Underlying causes can be inferred by sequencing the genomes of cancers from populations with different incidence rates and detecting differences in patterns of somatic mutations. Here we sequenced 962 clear cell renal cell carcinomas from 11 countries with varying incidence. The somatic mutation profiles differed between countries. In Romania, Serbia and Thailand, mutational signatures characteristic of aristolochic acid compounds were present in most cases, but these were rare elsewhere. In Japan, a mutational signature of unknown cause was found in more than 70% of cases but in less than 2% elsewhere. A further mutational signature of unknown cause was ubiquitous but exhibited higher mutation loads in countries with higher incidence rates of kidney cancer. Known signatures of tobacco smoking correlated with tobacco consumption, but no signature was associated with obesity or hypertension, suggesting that non-mutagenic mechanisms of action underlie these risk factors. The results of this study indicate the existence of multiple, geographically variable, mutagenic exposures that potentially affect tens of millions of people and illustrate the opportunities for new insights into cancer causation through large-scale global cancer genomics.
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Affiliation(s)
- Sergey Senkin
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Sarah Moody
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Marcos Díaz-Gay
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Behnoush Abedi-Ardekani
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Thomas Cattiaux
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Aida Ferreiro-Iglesias
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Jingwei Wang
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Stephen Fitzgerald
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Mariya Kazachkova
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA
| | - Raviteja Vangara
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Anh Phuong Le
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Erik N Bergstrom
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Azhar Khandekar
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Burçak Otlu
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
- Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
| | - Saamin Cheema
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Calli Latimer
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Emily Thomas
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Joshua Ronald Atkins
- Cancer Epidemiology Unit, The Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, The Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Christine Carreira
- Evidence Synthesis and Classification Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Priscilia Chopard
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Valérie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Pekka Keski-Rahkonen
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - David Jones
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Jon W Teague
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Sophie Ferlicot
- Service d'Anatomie Pathologique, Assistance Publique-Hôpitaux de Paris, Univeristé Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Mojgan Asgari
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran
- Hasheminejad Kidney Center, Iran University of Medical Sciences, Tehran, Iran
| | - Surasak Sangkhathat
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Worapat Attawettayanon
- Division of Urology, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Beata Świątkowska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Łódź, Poland
| | - Sonata Jarmalaite
- Laboratory of Genetic Diagnostic, National Cancer Institute, Vilnius, Lithuania
- Department of Botany and Genetics, Institute of Biosciences, Vilnius University, Vilnius, Lithuania
| | - Rasa Sabaliauskaite
- Laboratory of Genetic Diagnostic, National Cancer Institute, Vilnius, Lithuania
| | - Tatsuhiro Shibata
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Minato-ku, Japan
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Japan
| | - Akihiko Fukagawa
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Japan
| | - Dana Mates
- Occupational Health and Toxicology Department, National Center for Environmental Risk Monitoring, National Institute of Public Health, Bucharest, Romania
| | - Viorel Jinga
- Urology Department, Carol Davila University of Medicine and Pharmacy, Prof. Dr. Th. Burghele Clinical Hospital, Bucharest, Romania
| | - Stefan Rascu
- Urology Department, Carol Davila University of Medicine and Pharmacy, Prof. Dr. Th. Burghele Clinical Hospital, Bucharest, Romania
| | - Mirjana Mijuskovic
- Clinic of Nephrology, Faculty of Medicine, Military Medical Academy, Belgrade, Serbia
| | - Slavisa Savic
- Department of Urology, University Hospital Dr D. Misovic Clinical Center, Belgrade, Serbia
| | - Sasa Milosavljevic
- International Organization for Cancer Prevention and Research, Belgrade, Serbia
| | - John M S Bartlett
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Monique Albert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Larry Phouthavongsy
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Patricia Ashton-Prolla
- Experimental Research Center, Genomic Medicine Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduate Program in Genetics and Molecular Biology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Mariana R Botton
- Transplant Immunology and Personalized Medicine Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Brasil Silva Neto
- Service of Urology, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Post-Graduate Program in Medicine: Surgical Sciences, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Maria Paula Curado
- Department of Epidemiology, A. C. Camargo Cancer Center, São Paulo, Brazil
| | - Stênio de Cássio Zequi
- Department of Urology, A. C. Camargo Cancer Center, São Paulo, Brazil
- National Institute for Science and Technology in Oncogenomics and Therapeutic Innovation, A.C. Camargo Cancer Center, São Paulo, Brazil
- Latin American Renal Cancer Group (LARCG), São Paulo, Brazil
- Department of Surgery, Division of Urology, Sao Paulo Federal University (UNIFESP), São Paulo, Brazil
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Minho University, Braga, Portugal
| | - Eliney Ferreira Faria
- Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil
- Department of Urology, Barretos Cancer Hospital, Barretos, Brazil
| | | | | | - Rosamonde E Banks
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Naveen S Vasudev
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - David Zaridze
- Department of Clinical Epidemiology, N. N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Anush Mukeriya
- Department of Clinical Epidemiology, N. N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Oxana Shangina
- Department of Clinical Epidemiology, N. N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Vsevolod Matveev
- Department of Urology, N. N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Marie Navratilova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, 2nd Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Oncology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Anna Hornakova
- Institute of Hygiene and Epidemiology, 1st Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ghislaine Scelo
- Observational and Pragmatic Research Institute Pte Ltd, Singapore, Singapore
| | - Estelle Chanudet
- Department of Pathology, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Laura Humphreys
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Ana Carolina de Carvalho
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Sandra Perdomo
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | - Michael R Stratton
- Cancer, Ageing and Somatic Mutation, Wellcome Sanger Institute, Cambridge, UK
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
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4
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Chakraborty S, Guan Z, Kostrzewa CE, Shen R, Begg CB. Identifying somatic fingerprints of cancers defined by germline and environmental risk factors. Genet Epidemiol 2024. [PMID: 38686586 DOI: 10.1002/gepi.22565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 01/18/2024] [Accepted: 04/16/2024] [Indexed: 05/02/2024]
Abstract
Numerous studies over the past generation have identified germline variants that increase specific cancer risks. Simultaneously, a revolution in sequencing technology has permitted high-throughput annotations of somatic genomes characterizing individual tumors. However, examining the relationship between germline variants and somatic alteration patterns is hugely challenged by the large numbers of variants in a typical tumor, the rarity of most individual variants, and the heterogeneity of tumor somatic fingerprints. In this article, we propose statistical methodology that frames the investigation of germline-somatic relationships in an interpretable manner. The method uses meta-features embodying biological contexts of individual somatic alterations to implicitly group rare mutations. Our team has used this technique previously through a multilevel regression model to diagnose with high accuracy tumor site of origin. Herein, we further leverage topic models from computational linguistics to achieve interpretable lower-dimensional embeddings of the meta-features. We demonstrate how the method can identify distinctive somatic profiles linked to specific germline variants or environmental risk factors. We illustrate the method using The Cancer Genome Atlas whole-exome sequencing data to characterize somatic tumor fingerprints in breast cancer patients with germline BRCA1/2 mutations and in head and neck cancer patients exposed to human papillomavirus.
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Affiliation(s)
| | - Zoe Guan
- Mass General Research Institute, Boston, Massachusetts, USA
| | | | - Ronglai Shen
- Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Colin B Begg
- Memorial Sloan Kettering Cancer Center, New York, New York, USA
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5
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Peng H, Wu X, Cui X, Liu S, Liang Y, Cai X, Shi M, Zhong R, Li C, Liu J, Wu D, Gao Z, Lu X, Luo H, He J, Liang W. Molecular and immune characterization of Chinese early-stage non-squamous non-small cell lung cancer: a multi-omics cohort study. Transl Lung Cancer Res 2024; 13:763-784. [PMID: 38736486 PMCID: PMC11082711 DOI: 10.21037/tlcr-23-800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 03/15/2024] [Indexed: 05/14/2024]
Abstract
Background Albeit considered with superior survival, around 30% of the early-stage non-squamous non-small cell lung cancer (Ns-NSCLC) patients relapse within 5 years, suggesting unique biology. However, the biological characteristics of early-stage Ns-NSCLC, especially in the Chinese population, are still unclear. Methods Multi-omics interrogation of early-stage Ns-NSCLC (stage I-III), paired blood samples and normal lung tissues (n=76) by whole-exome sequencing (WES), RNA sequencing, and T-cell receptor (TCR) sequencing were conducted. Results An average of 128 exonic mutations were identified, and the most frequently mutant gene was EGFR (55%), followed by TP53 (37%) and TTN (26%). Mutations in MUC17, ABCA2, PDE4DIP, and MYO18B predicted significantly unfavorable disease-free survival (DFS). Moreover, cytobands amplifications in 8q24.3, 14q13.1, 14q11.2, and deletion in 3p21.1 were highlighted in recurrent cases. Higher incidence of human leukocyte antigen loss of heterozygosity (HLA-LOH), higher tumor mutational burden (TMB) and tumor neoantigen burden (TNB) were identified in ever-smokers than never-smokers. HLA-LOH also correlated with higher TMB, TNB, intratumoral heterogeneity (ITH), and whole chromosomal instability (wCIN) scores. Interestingly, higher ITH was an independent predictor of better DFS in early-stage Ns-NSCLC. Up-regulation of immune-related genes, including CRABP2, ULBP2, IL31RA, and IL1A, independently portended a dismal prognosis. Enhanced TCR diversity of peripheral blood mononuclear cells (PBMCs) predicted better prognosis, indicative of a noninvasive method for relapse surveillance. Eventually, seven machine-learning (ML) algorithms were employed to evaluate the predictive accuracy of clinical, genomic, transcriptomic, and TCR repertoire data on DFS, showing that clinical and RNA features combination in the random forest (RF) algorithm, with area under the curve (AUC) of 97.5% and 83.3% in the training and testing cohort, respectively, significantly outperformed other methods. Conclusions This study comprehensively profiled the genomic, transcriptomic, and TCR repertoire spectrums of Chinese early-stage Ns-NSCLC, shedding light on biological underpinnings and candidate biomarkers for prognosis development.
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Affiliation(s)
- Haoxin Peng
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, Nanshan School, Guangzhou Medical University, Guangzhou, China
| | - Xiangrong Wu
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Clinical Medicine, Nanshan School, Guangzhou Medical University, Guangzhou, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaoli Cui
- Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Shaopeng Liu
- Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China
- Department of Artificial Intelligence Research, Pazhou Lab, Guangzhou, China
| | - Yueting Liang
- Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xiuyu Cai
- Department of General Internal Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Cener for Cancer Medicine, Guangzhou, China
| | - Mengping Shi
- Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China
| | - Ran Zhong
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Caichen Li
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jun Liu
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dongfang Wu
- Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Zhibo Gao
- Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Xu Lu
- Department of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China
- Department of Artificial Intelligence Research, Pazhou Lab, Guangzhou, China
| | - Haitao Luo
- Shenzhen Engineering Center for Translational Medicine of Precision Cancer Immunodiagnosis and Therapy, YuceBio Technology Co., Ltd., Shenzhen, China
| | - Jianxing He
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenhua Liang
- Department of Thoracic Oncology and Surgery, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Department of Medical Oncology, The First People’s Hospital of Zhaoqing, Zhaoqing, China
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6
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Taraszka K, Groha S, King D, Tell R, White K, Ziv E, Zaitlen N, Gusev A. A comprehensive analysis of clinical and polygenic germline influences on somatic mutational burden. Am J Hum Genet 2024; 111:242-258. [PMID: 38211585 PMCID: PMC10870141 DOI: 10.1016/j.ajhg.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 01/13/2024] Open
Abstract
Tumor mutational burden (TMB), the total number of somatic mutations in the tumor, and copy number burden (CNB), the corresponding measure of aneuploidy, are established fundamental somatic features and emerging biomarkers for immunotherapy. However, the genetic and non-genetic influences on TMB/CNB and, critically, the manner by which they influence patient outcomes remain poorly understood. Here, we present a large germline-somatic study of TMB/CNB with >23,000 individuals across 17 cancer types, of which 12,000 also have extensive clinical, treatment, and overall survival (OS) measurements available. We report dozens of clinical associations with TMB/CNB, observing older age and male sex to have a strong effect on TMB and weaker impact on CNB. We additionally identified significant germline influences on TMB/CNB, including fine-scale European ancestry and germline polygenic risk scores (PRSs) for smoking, tanning, white blood cell counts, and educational attainment. We quantify the causal effect of exposures on somatic mutational processes using Mendelian randomization. Many of the identified features associated with TMB/CNB were additionally associated with OS for individuals treated at a single tertiary cancer center. For individuals receiving immunotherapy, we observed a complex relationship between PRSs for educational attainment, self-reported college attainment, TMB, and survival, suggesting that the influence of this biomarker may be substantially modified by socioeconomic status. While the accumulation of somatic alterations is a stochastic process, our work demonstrates that it can be shaped by host characteristics including germline genetics.
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Affiliation(s)
- Kodi Taraszka
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA; Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA.
| | - Stefan Groha
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - David King
- Tempus Labs, Inc, Chicago, IL 60654, USA
| | | | | | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Noah Zaitlen
- Department of Neurology, University of California, Los Angeles, CA 90095, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute & Harvard Medical School, Boston, MA 02215, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA.
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7
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Xin J, Mo Z, Chai R, Hua W, Wang J. A Multiethnic Germline-Somatic Association Database Deciphers Multilayered and Interconnected Genetic Mutations in Cancer. Cancer Res 2024; 84:364-371. [PMID: 38016109 DOI: 10.1158/0008-5472.can-23-0996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 09/25/2023] [Accepted: 11/16/2023] [Indexed: 11/30/2023]
Abstract
Inherited germline and acquired somatic alterations can both promote human tumor development. Elucidating the cooperation between somatic and germline genetic alterations that drive tumorigenesis could help inform precision cancer prevention and treatment strategies. Here, leveraging genomic genotyping and sequencing data from 9,029 patients with cancer with European, East Asian, and African ancestry, we performed a pan-cancer analysis to evaluate the associations between germline SNPs and somatic alterations, including single-nucleotide variant and small insertion/deletion mutations, copy-number variation, tumor mutational burden, and mutational signatures. Genome-wide significant germline-somatic pairs were abundant, and most of the associations were observed in one cancer type and one ancestry group. A user-friendly interactive Multiethnic Germline-Somatic Association (MGSA) database (http://wanglab-hkust.cn:3838/MGSA/) was developed, which can be used to query, browse, and download the results of the association analyses. Moreover, the MGSA database offers additional survival analysis and functional annotation. Together, this work provides a resource for uncovering the clinical and biological roles of associations between germline variants and somatic alterations in human cancer. SIGNIFICANCE Comprehensive analysis of connections between germline variants and somatic events in cancer offers a resource for investigating the functional significance of genetic mutations and exploring genetic factors contributing to racial disparities.
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Affiliation(s)
- Junyi Xin
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zongchao Mo
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen, China
| | - Ruichao Chai
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiguang Wang
- Division of Life Science and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- SIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen, China
- Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong SAR, China
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8
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Chou WC, Chen WT, Kuo CT, Chang YM, Lu YS, Li CW, Hung MC, Shen CY. Genetic insights into carbohydrate sulfotransferase 8 and its impact on the immunotherapy efficacy of cancer. Cell Rep 2024; 43:113641. [PMID: 38165805 DOI: 10.1016/j.celrep.2023.113641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/12/2023] [Accepted: 12/18/2023] [Indexed: 01/04/2024] Open
Abstract
Immune checkpoint blockade (ICB) is a promising therapy for solid tumors, but its effectiveness depends on biomarkers that are not precise. Here, we utilized genome-wide association study to investigate the association between genetic variants and tumor mutation burden to interpret ICB response. We identified 16 variants (p < 5 × 10-8) probed to 17 genes on 9 chromosomes. Subsequent analysis of one of the most significant loci in 19q13.11 suggested that the rs111308825 locus at the enhancer is causal, as its A allele impairs KLF2 binding, leading to lower carbohydrate sulfotransferase 8 (CHST8) expression. Breast cancer cells expressing CHST8 suppress T cell activation, and Chst8 loss attenuates tumor growth in a syngeneic mouse model. Further investigation revealed that programmed death-ligand 1 (PD-L1) and its homologs could be sulfated by CHST8, resulting in M2-like macrophage enrichment in the tumor microenvironment. Finally, we confirmed that low-CHST8 tumors have better ICB response, supporting the genetic effect and clinical value of rs111308825 for ICB efficacy prediction.
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Affiliation(s)
- Wen-Cheng Chou
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
| | - Wei-Ting Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Chun-Tse Kuo
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yao-Ming Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Yen-Shen Lu
- Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan
| | - Chia-Wei Li
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Mien-Chie Hung
- Graduate Institute of Biomedical Sciences, Center for Molecular Medicine, China Medical University, Taichung, Taiwan
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan; College of Public Health, China Medical University, Taichung, Taiwan.
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9
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Zhang Y, Ru N, Xue Z, Gan W, Pan R, Wu Z, Chen Z, Wang H, Zheng X. The role of mitochondria-related lncRNAs in characterizing the immune landscape and supervising the prognosis of osteosarcoma. J Bone Oncol 2023; 43:100506. [PMID: 37868616 PMCID: PMC10585401 DOI: 10.1016/j.jbo.2023.100506] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/24/2023] [Accepted: 10/03/2023] [Indexed: 10/24/2023] Open
Abstract
Mitochondrial damage is related to the functional properties of immune cells as well as to tumorigenesis and progression. Nevertheless, there is an absence concerning the systematic evaluation of mitochondria-associated lncRNAs (MALs) in the immune profile and tumor microenvironment of osteosarcoma patients. Based on transcriptomic and clinicopathological data from the TARGET database, MAL-related patterns were ascertained by consistent clustering, and gene set variation analysis of the different patterns was completed. Next, a MAL-derived scoring system was created using Cox and LASSO regression analyses and validated by Kaplan-Meier and ROC curves. The GSEA, ESTIMATE, and CIBERSORT algorithms were utilized to characterize the immune status and underlying biological functions in the different MAL score groups. MAL-derived risk scores were well stabilized and outperformed traditional clinicopathological features to reliably predict 5-year survival in osteosarcoma cohorts. Moreover, patients with increased MAL scores were observed to suffer from poorer prognosis, higher tumor purity, and an immunosuppressive microenvironment. Based on estimated half-maximal inhibitory concentrations, the low-MAL score group benefited more from gemcitabine and docetaxel, and less from thapsigargin and sunitinib compared to the high-MAL score group. Pan-cancer analysis demonstrated that six hub MALs were strongly correlated with clinical outcomes, immune subtypes, and tumor stemness indices in various common cancers. Finally, we verified the expression patterns of hub MALs in osteosarcoma with qRT-PCR. In summary, we identified the crosstalk between prognostic MALs and tumor-infiltrating immune cells in osteosarcoma, providing a potential strategy to ameliorate clinical stratification management.
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Affiliation(s)
- Yiming Zhang
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Nan Ru
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
- Guangdong Engineering Research Center of Chinese Medicine & Disease Susceptibility, International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of the Chinese Ministry of Education, Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and NewDrugs Research, Guangzhou, China
| | - Zhaowen Xue
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Wenyi Gan
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Ruilin Pan
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Zelin Wu
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Zihang Chen
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
- Department of psychology, Li Ka Shing Faculty of Medicine, State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
| | - Huajun Wang
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
| | - Xiaofei Zheng
- Department of Sports Medicine, The First Affiliated Hospital, Guangdong Provincial Key Laboratory of Speed Capability, The Guangzhou Key Laboratory of Precision Orthopedics and Regenerative Medicine, Jinan University, Guangzhou, China
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10
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Tang W, Zhang F, Byun JS, Dorsey TH, Yfantis HG, Ajao A, Liu H, Pichardo MS, Pichardo CM, Harris AR, Yang XR, Figueroa JD, Sayed S, Makokha FW, Ambs S. Population-specific Mutation Patterns in Breast Tumors from African American, European American, and Kenyan Patients. CANCER RESEARCH COMMUNICATIONS 2023; 3:2244-2255. [PMID: 37902422 PMCID: PMC10629394 DOI: 10.1158/2767-9764.crc-23-0165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/31/2023] [Accepted: 10/24/2023] [Indexed: 10/31/2023]
Abstract
Women of African descent have the highest breast cancer mortality in the United States and are more likely than women from other population groups to develop an aggressive disease. It remains uncertain to what extent breast cancer in Africa is reminiscent of breast cancer in African American or European American patients. Here, we performed whole-exome sequencing of genomic DNA from 191 breast tumor and non-cancerous adjacent tissue pairs obtained from 97 African American, 69 European American, 2 Asian American, and 23 Kenyan patients. Our analysis of the sequencing data revealed an elevated tumor mutational burden in both Kenyan and African American patients, when compared with European American patients. TP53 mutations were most prevalent, particularly in African American patients, followed by PIK3CA mutations, which showed similar frequencies in European American, African American, and the Kenyan patients. Mutations targeting TBX3 were confined to European Americans and those targeting the FBXW7 tumor suppressor to African American patients whereas mutations in the ARID1A gene that are known to confer resistance to endocrine therapy were distinctively enriched among Kenyan patients. A Kyoto Encyclopedia of Genes and Genomes pathway analysis could link FBXW7 mutations to an increased mitochondrial oxidative phosphorylation capacity in tumors carrying these mutations. Finally, Catalogue of Somatic Mutations in Cancer (COSMIC) mutational signatures in tumors correlated with the occurrence of driver mutations, immune cell profiles, and neighborhood deprivation with associations ranging from being mostly modest to occasionally robust. To conclude, we found mutational profiles that were different between these patient groups. The differences concentrated among genes with low mutation frequencies in breast cancer. SIGNIFICANCE The study describes differences in tumor mutational profiles between African American, European American, and Kenyan breast cancer patients. It also investigates how these profiles may relate to the tumor immune environment and the neighborhood environment in which the patients had residence. Finally, it describes an overrepresentation of ARID1A gene mutations in breast tumors of the Kenyan patients.
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Affiliation(s)
- Wei Tang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
- Data Science & Artificial Intelligence, R&D, AstraZeneca, Gaithersburg, Maryland
| | - Flora Zhang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
- Colgate University, Hamilton, New York
| | - Jung S. Byun
- Division of Intramural Research, National Institute of Minority Health and Health Disparities, NIH, Bethesda, Maryland
| | - Tiffany H. Dorsey
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Harris G. Yfantis
- Department of Pathology, University of Maryland Medical Center and Veterans Affairs, Maryland Care System, Baltimore, Maryland
| | - Anuoluwapo Ajao
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Huaitian Liu
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
| | - Margaret S. Pichardo
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
- Department of Surgery, Hospital of the University of Pennsylvania, Penn Medicine, Philadelphia, Pennsylvania
| | - Catherine M. Pichardo
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
- Division of Cancer Control and Population Sciences, NCI, NIH, Rockville, Maryland
| | - Alexandra R. Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Xiaohong R. Yang
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Jonine D. Figueroa
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | | | | | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, NCI, NIH, Bethesda, Maryland
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11
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Chen R, Xie M, Wang S, Yu F, Zhang D, Yuan L, Zheng J, Wang J, Zhou J, Li B, Zheng S, Fan Y, Han D. Secondary Infection Surveillance with Metagenomic Next-Generation Sequencing in COVID-19 Patients: A Cross-Sectional Study. Infect Drug Resist 2023; 16:6463-6472. [PMID: 37795203 PMCID: PMC10546932 DOI: 10.2147/idr.s424061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/06/2023] [Indexed: 10/06/2023] Open
Abstract
Background Metagenomic next-generation sequencing (mNGS) is a promising tool for improving antimicrobial therapy and infection control decision-making in complex infections. Secondary infection surveillance using mNGS in COVID-19 patients has rarely been reported. Methods Respiratory pathogen and antibiotic resistance prediction were evaluated by BALF mNGS for 192 hospitalized COVID-19 patients between December 2022 and February 2023. Results Secondary infection was confirmed in 83.3% (160/192) of the COVID-19 patients, with bacterial infections (45%, 72/160) predominating, followed by mixed bacterial and fungal infections (20%, 32/160), and fungal infections (17.5%, 28/160). The incidence of bacterial or viral secondary infection was significantly higher in patients who were admitted to the ICU, received mechanical ventilation, or developed severe pneumonia (all p<0.05). Klebsiella pneumoniae (n=30, 8.4%) was the most prevalent pathogen associated with secondary infection followed by Acinetobacter baumannii (n=29, 8.1%), Candida albicans (n=29, 8.1%), Aspergillus fumigatus (n=27, 7.6%), human herpes simplex virus type 1 (n=23, 6.4%), Staphylococcus aureus (n=20, 5.6%) and Pneumocystis jiroveci (n=14, 3.9%). The overall concordance between the resistance genes detected by mNGS and the reported phenotypic resistance in 69 samples containing five clinically important pathogens (ie, K. pneumoniae, A. baumannii, S. aureus, P. aeruginosa and E. coli) that caused secondary infection was 85.5% (59/69). Conclusion mNGS can detect pathogens causing secondary infection and predict antimicrobial resistance for COVID19 patients. This is crucial for initiating targeted treatment and rapidly detect unsuspected spread of multidrug-resistant pathogens.
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Affiliation(s)
- Renke Chen
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China
| | - Mengxiao Xie
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Shenlong Wang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China
| | - Fei Yu
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Key Laboratory of Clinical in vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, People’s Republic of China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Dan Zhang
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Key Laboratory of Clinical in vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, People’s Republic of China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Lingjun Yuan
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Jieyuan Zheng
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Jingchao Wang
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Jieting Zhou
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Binxiao Li
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Shufa Zheng
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Key Laboratory of Clinical in vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, People’s Republic of China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, People’s Republic of China
| | - Yongsheng Fan
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People’s Republic of China
| | - Dongsheng Han
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Key Laboratory of Clinical in vitro Diagnostic Techniques of Zhejiang Province, Hangzhou, People’s Republic of China
- Institute of Laboratory Medicine, Zhejiang University, Hangzhou, People’s Republic of China
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12
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Kozlov AP. Carcino-Evo-Devo, A Theory of the Evolutionary Role of Hereditary Tumors. Int J Mol Sci 2023; 24:ijms24108611. [PMID: 37239953 DOI: 10.3390/ijms24108611] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
A theory of the evolutionary role of hereditary tumors, or the carcino-evo-devo theory, is being developed. The main hypothesis of the theory, the hypothesis of evolution by tumor neofunctionalization, posits that hereditary tumors provided additional cell masses during the evolution of multicellular organisms for the expression of evolutionarily novel genes. The carcino-evo-devo theory has formulated several nontrivial predictions that have been confirmed in the laboratory of the author. It also suggests several nontrivial explanations of biological phenomena previously unexplained by the existing theories or incompletely understood. By considering three major types of biological development-individual, evolutionary, and neoplastic development-within one theoretical framework, the carcino-evo-devo theory has the potential to become a unifying biological theory.
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Affiliation(s)
- Andrei P Kozlov
- Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina Street, 117971 Moscow, Russia
- Peter the Great St. Petersburg Polytechnic University, 29 Polytekhnicheskaya Street, 195251 St. Petersburg, Russia
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13
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Pipek O, Alpár D, Rusz O, Bödör C, Udvarnoki Z, Medgyes-Horváth A, Csabai I, Szállási Z, Madaras L, Kahán Z, Cserni G, Kővári B, Kulka J, Tőkés AM. Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort. Int J Mol Sci 2023; 24:ijms24108553. [PMID: 37239898 DOI: 10.3390/ijms24108553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
A limited number of studies have focused on the mutational landscape of breast cancer in different ethnic populations within Europe and compared the data with other ethnic groups and databases. We performed whole-genome sequencing of 63 samples from 29 Hungarian breast cancer patients. We validated a subset of the identified variants at the DNA level using the Illumina TruSight Oncology (TSO) 500 assay. Canonical breast-cancer-associated genes with pathogenic germline mutations were CHEK2 and ATM. Nearly all the observed germline mutations were as frequent in the Hungarian breast cancer cohort as in independent European populations. The majority of the detected somatic short variants were single-nucleotide polymorphisms (SNPs), and only 8% and 6% of them were deletions or insertions, respectively. The genes most frequently affected by somatic mutations were KMT2C (31%), MUC4 (34%), PIK3CA (18%), and TP53 (34%). Copy number alterations were most common in the NBN, RAD51C, BRIP1, and CDH1 genes. For many samples, the somatic mutational landscape was dominated by mutational processes associated with homologous recombination deficiency (HRD). Our study, as the first breast tumor/normal sequencing study in Hungary, revealed several aspects of the significantly mutated genes and mutational signatures, and some of the copy number variations and somatic fusion events. Multiple signs of HRD were detected, highlighting the value of the comprehensive genomic characterization of breast cancer patient populations.
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Affiliation(s)
- Orsolya Pipek
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Donát Alpár
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Orsolya Rusz
- Department of Pathology, Forensic and Insurance Medicine, SE NAP, Brain Metastasis Research Group, Semmelweis University, 1091 Budapest, Hungary
| | - Csaba Bödör
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Zoltán Udvarnoki
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Anna Medgyes-Horváth
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - István Csabai
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Zoltán Szállási
- Department of Pathology, Forensic and Insurance Medicine, SE NAP, Brain Metastasis Research Group, Semmelweis University, 1091 Budapest, Hungary
- Computational Health Informatics Program (CHIP), Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Lilla Madaras
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
| | - Zsuzsanna Kahán
- Department of Oncotherapy, University of Szeged, 6720 Szeged, Hungary
| | - Gábor Cserni
- Department of Pathology, Albert Szent-Györgyi Medical Centre, University of Szeged, 6720 Szeged, Hungary
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
| | - Bence Kővári
- Department of Pathology, Albert Szent-Györgyi Medical Centre, University of Szeged, 6720 Szeged, Hungary
- Department of Pathology, Henry Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Janina Kulka
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
| | - Anna Mária Tőkés
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
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Liu Y, Gusev A, Kraft P. Germline Cancer Gene Expression Quantitative Trait Loci Are Associated with Local and Global Tumor Mutations. Cancer Res 2023; 83:1191-1202. [PMID: 36745477 PMCID: PMC10106413 DOI: 10.1158/0008-5472.can-22-2624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 12/13/2022] [Accepted: 02/01/2023] [Indexed: 02/07/2023]
Abstract
Somatic mutations drive cancer development and are relevant to patient responses to treatment. Emerging evidence shows that variations in the somatic genome can be influenced by the germline genetic background. However, the mechanisms underlying these germline-somatic associations remain largely obscure. We hypothesized that germline variants can influence somatic mutations in a nearby cancer gene ("local impact") or a set of recurrently mutated cancer genes across the genome ("global impact") through their regulatory effect on gene expression. To test this hypothesis, tumor targeted sequencing data from 12,413 patients across 11 cancer types in the Dana-Farber Profile cohort were integrated with germline cancer gene expression quantitative trait loci (eQTL) from the Genotype-Tissue Expression Project. Variants that upregulate ATM expression were associated with a decreased risk of somatic ATM mutations across 8 cancer types. GLI2, WRN, and CBFB eQTL were associated with global tumor mutational burden of cancer genes in ovarian cancer, glioma, and esophagogastric carcinoma, respectively. An EPHA5 eQTL was associated with mutations in cancer genes specific to colorectal cancer, and eQTL related to expression of APC, WRN, GLI1, FANCA, and TP53 were associated with mutations in genes specific to endometrial cancer. These findings provide evidence that germline-somatic associations are mediated through expression of specific cancer genes, opening new avenues for research on the underlying biological processes. SIGNIFICANCE Analysis of associations between the germline genetic background and somatic mutations in patients with cancer suggests that germline variants can influence local and global tumor mutations by altering expression of cancer-related genes. See related commentary by Kar, p. 1165.
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Affiliation(s)
- Yuxi Liu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Alexander Gusev
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, 02215, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
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