TY  - JOUR
AU  - Woodcock, Dan J.
AU  - Sahli, Atef
AU  - Teslo, Ruxandra
AU  - Bhandari, Vinayak
AU  - Gruber, Andreas J.
AU  - Ziubroniewicz, Aleksandra
AU  - Gundem, Gunes
AU  - Xu, Yaobo
AU  - Butler, Adam
AU  - Anokian, Ezequiel
AU  - Pope, Bernard J.
AU  - Jung, Chol-Hee
AU  - Tarabichi, Maxime
AU  - Dentro, Stefan
AU  - Farmery, J. Henry R.
AU  - Van Loo, Peter
AU  - Warren, Anne Y.
AU  - Gnanapragasam, Vincent
AU  - Hamdy, Freddie C.
AU  - Bova, G. Steven
AU  - Foster, Christopher S.
AU  - Neal, David E.
AU  - Lu, Yong-Jie
AU  - Kote-Jarai, Zsofia
AU  - Fraser, Michael
AU  - Bristow, Robert G.
AU  - Boutros, Paul C.
AU  - Costello, Anthony J.
AU  - Corcoran, Niall M.
AU  - Hovens, Christopher M.
AU  - Massie, Charlie E.
AU  - Lynch, Andy G.
AU  - Brewer, Daniel S.
AU  - Eeles, Rosalind A.
AU  - Cooper, Colin S.
AU  - Wedge, David C.
TI  - Genomic evolution shapes prostate cancer disease type
JO  - Cell genomics
VL  - 4
IS  - 3
SN  - 2666-979X
CY  - Amsterdam
PB  - Elsevier
M1  - DKFZ-2024-02503
SP  - 100511 -
PY  - 2024
AB  - 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.Keywords: AR binding; cancer evolution; evotype model; evotypes; ordering; prostate cancer. 
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1016/j.xgen.2024.100511
UR  - https://inrepo02.dkfz.de/record/294791
ER  -