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    A polygenic two-hit hypothesis for prostate cancer

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    Authors
    Houlahan, K. E.
    Livingstone, J.
    Fox, N. S.
    Kurganovs, N.
    Zhu, H.
    Sietsma Penington, J.
    Jung, C. H.
    Yamaguchi, T. N.
    Heisler, L. E.
    Jovelin, R.
    Costello, A. J.
    Pope, B. J.
    Kishan, A. U.
    Corcoran, N. M.
    Bristow, Robert G
    Waszak, S. M.
    Weischenfeldt, J.
    He, H. H.
    Hung, R. J.
    Hovens, C. M.
    Boutros, P. C.
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    Affiliation
    Department of Human Genetics, University of California, Los Angeles, USA
    Issue Date
    2023
    
    Metadata
    Show full item record
    Abstract
    Prostate cancer is one of the most heritable cancers. Hundreds of germline polymorphisms have been linked to prostate cancer diagnosis and prognosis. Polygenic risk scores can predict genetic risk of a prostate cancer diagnosis. While these scores inform on the probability of developing a tumor, it remains unknown how germline risk influences the tumor molecular evolution. We cultivated a cohort of 1,250 localized European-descent patients with germline and somatic DNA profiling. Men of European descent with higher genetic risk were diagnosed earlier, had less genomic instability, and fewer driver genes mutated. Higher genetic risk was associated with better outcome. These data imply a polygenic "two-hit" model where germline risk reduces the number of somatic alterations required for tumorigenesis. These findings support further clinical studies of PRS as inexpensive and minimally invasive adjuncts to standard risk stratification. Further studies are required to interrogate generalizability to more ancestrally and clinically diverse populations.
    Citation
    Houlahan KE, Livingstone J, Fox NS, Kurganovs N, Zhu H, Sietsma Penington J, et al. A polygenic two-hit hypothesis for prostate cancer. Journal of the National Cancer Institute. 2023 Jan 5. PubMed PMID: 36610996. Epub 2023/01/08. eng.
    Journal
    Journal of the National Cancer Institute
    URI
    http://hdl.handle.net/10541/625943
    DOI
    10.1093/jnci/djad001
    PubMed ID
    36610996
    Additional Links
    https://dx.doi.org/10.1093/jnci/djad001
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1093/jnci/djad001
    Scopus Count
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    All Paterson Institute for Cancer Research

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