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    Genomic evolution shapes prostate cancer disease type

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    Authors
    Woodcock, D. J.
    Sahli, A.
    Teslo, R.
    Bhandari, V.
    Gruber, A. J.
    Ziubroniewicz, A.
    Gundem, G.
    Xu, Y.
    Butler, A.
    Anokian, E.
    Pope, B. J.
    Jung, C. H.
    Tarabichi, M.
    Dentro, S. C.
    Farmery, J. H. R.
    Van Loo, P.
    Warren, A. Y.
    Gnanapragasam, V.
    Hamdy, F. C.
    Bova, G. S.
    Foster, C. S.
    Neal, D. E.
    Lu, Y. J.
    Kote-Jarai, Z.
    Fraser, M.
    Bristow, Robert G
    Boutros, P. C.
    Costello, A. J.
    Corcoran, N. M.
    Hovens, C. M.
    Massie, C. E.
    Lynch, A. G.
    Brewer, D. S.
    Eeles, R. A.
    Cooper, C. S.
    Wedge, David C
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    Affiliation
    Division of Cancer Sciences, Health and Medicine, University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK; CRUK Manchester Institute, University of Manchester, Manchester, UK; Manchester Cancer Research Centre, University of Manchester, Manchester, UK.
    Issue Date
    2024
    
    Metadata
    Show full item record
    Abstract
    The development of cancer is an evolutionary process involving the sequential acquisition of genetic alterations that disrupt normal biological processes, enabling tumor cells to rapidly proliferate and eventually invade and metastasize to other tissues. We investigated the genomic evolution of prostate cancer through the application of three separate classification methods, each designed to investigate a different aspect of tumor evolution. Integrating the results revealed the existence of two distinct types of prostate cancer that arise from divergent evolutionary trajectories, designated as the Canonical and Alternative evolutionary disease types. We therefore propose the evotype model for prostate cancer evolution wherein Alternative-evotype tumors diverge from those of the Canonical-evotype through the stochastic accumulation of genetic alterations associated with disruptions to androgen receptor DNA binding. Our model unifies many previous molecular observations, providing a powerful new framework to investigate prostate cancer disease progression.
    Citation
    Woodcock DJ, Sahli A, Teslo R, Bhandari V, Gruber AJ, Ziubroniewicz A, et al. Genomic evolution shapes prostate cancer disease type. Cell genomics. 2024 Mar 13;4(3):100511. PubMed PMID: 38428419. Pubmed Central PMCID: PMC10943594. Epub 2024/03/02. eng.
    Journal
    Cell Genomics
    URI
    http://hdl.handle.net/10541/626986
    DOI
    10.1016/j.xgen.2024.100511
    PubMed ID
    38428419
    Additional Links
    https://dx.doi.org/10.1016/j.xgen.2024.100511
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.xgen.2024.100511
    Scopus Count
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