4.6 Article

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

Journal

EUROPEAN UROLOGY
Volume 79, Issue 3, Pages 353-361

Publisher

ELSEVIER
DOI: 10.1016/j.eururo.2020.07.038

Keywords

Whole-exome sequencing; Custom-capture sequencing; Familial prostate cancer; Genetic risk variants

Funding

  1. U.S. Public Health Service, National Institutes of Health [U01CA08960]
  2. NIH [CA89600, CA080122, CA056678, CA082664, CA092579, P30-CA015704]
  3. Intramural Research Program of the National Human Genome Research Institute
  4. National Health and Medical Research Council [940394, 126402, 209057, APP1028280, APP1074383]
  5. WES [phs000398.v1.p1]

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This study uses a two-stage design to identify new genetic variants associated with prostate cancer (PCa) in individuals with a family history of the disease or with a more aggressive form of PCa. The research detected 11 known genes associated with PCa and 10 novel genes, most of which are primarily linked to aggressive PCa risk.
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: 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, wholeexome 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. Conclusions: 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. (C) 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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