Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/27270
Title: Two-stage Study of Familial Prostate Cancer by Whole-exome Sequencing and Custom Capture Identifies 10 Novel Genes Associated with the Risk of Prostate Cancer[Formula presented].
Authors: Schleutker J.;Giles G.G.;MacInnis R.J.;Southey M.C.;Nguyen-Dumont T.;Cancel-Tassin G.;Cussenot O.;Whittemore A.S.;Sieh W.;Ioannidis N.M.;Hsieh C.-L.;Stanford J.L.;Fogarty Z.;Cropp C.D.;Carpten J.;Hoegel J.;Eeles R.;Kote-Jarai Z.;Ackerman M.J.;Klein C.J.;Mandal D.;Cooney K.A.;Bailey-Wilson J.E.;Helfand B.;Catalona W.J.;Wiklund F.;Riska S.;Bahetti S.;Larson M.C.;Cannon Albright L.;Teerlink C.;Xu J.;Isaacs W.;Ostrander E.A.;Thibodeau S.N.;Schaid D.J.;McDonnell S.K.;FitzGerald L.M.;DeRycke L.
Institution: (Schaid, McDonnell, Fogarty, Riska, Bahetti, Larson) Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States (FitzGerald) Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (DeRycke) Specialized Services, National Marrow Donor Program, Minneapolis, MN, United States (Giles, MacInnis, Southey) Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia (Giles, MacInnis) Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia (Giles) Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia (Giles, Southey, Nguyen-Dumont) Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria, Australia (Southey, Nguyen-Dumont) Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia (Cancel-Tassin, Cussenot) CeRePP, Tenon Hospital, Paris, France (Whittemore) Department of Health Research and Policy, Stanford University, Stanford, CA, United States (Sieh) Population Health Science and Policy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States (Ioannidis) Center for Computational Biology and Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States (Hsieh) Department of Urology, University of Southern California, Los Angeles, CA, United States (Stanford) Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States (Schleutker) Institute of Biomedicine, University of Turku, and Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, Turku, Finland (Cropp) Department of Pharmaceutical, Social and Administrative Sciences, McWhorter School of Pharmacy, Samford University, Birmingham, AL, United States (Carpten) Department of Translation Genomics, University of Southern California, Los Angeles, CA, United States (Hoegel) Department of Human Genetics, University of Ulm, Ulm, Germany (Eeles, Kote-Jarai) Division of Genetics and Epidemiology, The Institute of Cancer Research, Sutton Surrey, United Kingdom (Ackerman) Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States (Ackerman) Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States (Ackerman) Windland Smith Rice Sudden Death Genomics Laboratory, Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN, United States (Klein) Department of Neurology, Mayo Clinic, Rochester, MN, United States (Mandal) Department of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, United States (Cooney) Department of Medicine and Duke Cancer Institute, Duke University School of Medicine, Durham, NC, United States (Bailey-Wilson) Computational and Statistical Genomics Branch, National Human Genome Research Institute, Baltimore, MD, United States (Helfand) Department of Surgery, North Shore University Health System/University of Chicago, Evanston, IL, United States (Catalona) Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States (Wiklund) Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden (Cannon Albright, Teerlink) Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States (Xu) Northshore University Health System, Evanston, IL, United States (Isaacs) Department of Urology, Johns Hopkins Hospital, Baltimore, MD, United States (Ostrander) Cancer Genetics and Comparative Genomic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States (Thibodeau) Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States
Issue Date: 18-Feb-2021
Copyright year: 2021
Publisher: Elsevier B.V.
Place of publication: Netherlands
Publication information: European Urology. 79 (3) (pp 353-361), 2021. Date of Publication: March 2021.
Journal: European Urology
Abstract: Background: Family history of prostate cancer (PCa) is a well-known risk factor, and both common and rare genetic variants are associated with the disease. Objective(s): To detect new genetic variants associated with PCa, capitalizing on the role of family history and more aggressive PCa. Design, setting, and participants: A two-stage design was used. In stage one, whole-exome sequencing was used to identify potential risk alleles among affected men with a strong family history of disease or with more aggressive disease (491 cases and 429 controls). Aggressive disease was based on a sum of scores for Gleason score, node status, metastasis, tumor stage, prostate-specific antigen at diagnosis, systemic recurrence, and time to PCa death. Genes identified in stage one were screened in stage two using a custom-capture design in an independent set of 2917 cases and 1899 controls. Outcome measurements and statistical analysis: Frequencies of genetic variants (singly or jointly in a gene) were compared between cases and controls. Results and limitations: Eleven genes previously reported to be associated with PCa were detected (ATM, BRCA2, HOXB13, FAM111A, EMSY, HNF1B, KLK3, MSMB, PCAT1, PRSS3, and TERT), as well as an additional 10 novel genes (PABPC1, QK1, FAM114A1, MUC6, MYCBP2, RAPGEF4, RNASEH2B, ULK4, XPO7, and THAP3). Of these 10 novel genes, all but PABPC1 and ULK4 were primarily associated with the risk of aggressive PCa. Conclusion(s): Our approach demonstrates the advantage of gene sequencing in the search for genetic variants associated with PCa and the benefits of sampling patients with a strong family history of disease or an aggressive form of disease. Patient Summary: Multiple genes are associated with prostate cancer (PCa) among men with a strong family history of this disease or among men with an aggressive form of PCa. Family history of prostate cancer (PCa) is a well-known risk factor. By capitalizing on affected men with a strong family history of disease or with more aggressive disease, we identified 10 novel genes, with eight of these primarily associated with aggressive PCa.Copyright © 2020 European Association of Urology
DOI: http://monash.idm.oclc.org/login?url=
http://monash.idm.oclc.org/login?url=http://dx.doi.org/10.1016/j.eururo.2020.07.038
PubMed URL: 32800727 [http://www.ncbi.nlm.nih.gov/pubmed/?term=32800727]
ISSN: 0302-2838
URI: https://repository.monashhealth.org/monashhealthjspui/handle/1/27270
Type: Article
Type of Clinical Study or Trial: Observational study (cohort, case-control, cross sectional or survey)
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