| Literature DB >> 30537516 |
Clarissa Gerhauser1, Francesco Favero2, Thomas Risch3, Ronald Simon4, Lars Feuerbach5, Yassen Assenov1, Doreen Heckmann6, Nikos Sidiropoulos2, Sebastian M Waszak7, Daniel Hübschmann8, Alfonso Urbanucci9, Etsehiwot G Girma2, Vladimir Kuryshev6, Leszek J Klimczak10, Natalie Saini11, Adrian M Stütz7, Dieter Weichenhan1, Lisa-Marie Böttcher4, Reka Toth1, Josephine D Hendriksen2, Christina Koop4, Pavlo Lutsik1, Sören Matzk3, Hans-Jörg Warnatz3, Vyacheslav Amstislavskiy3, Clarissa Feuerstein12, Benjamin Raeder7, Olga Bogatyrova1, Eva-Maria Schmitz13, Claudia Hube-Magg4, Martina Kluth4, Hartwig Huland14, Markus Graefen14, Chris Lawerenz15, Gervaise H Henry16, Takafumi N Yamaguchi17, Alicia Malewska16, Jan Meiners4, Daniela Schilling18, Eva Reisinger15, Roland Eils19, Matthias Schlesner20, Douglas W Strand16, Robert G Bristow21, Paul C Boutros22, Christof von Kalle23, Dmitry Gordenin11, Holger Sültmann6, Benedikt Brors24, Guido Sauter4, Christoph Plass25, Marie-Laure Yaspo3, Jan O Korbel26, Thorsten Schlomm27, Joachim Weischenfeldt28.
Abstract
Identifying the earliest somatic changes in prostate cancer can give important insights into tumor evolution and aids in stratifying high- from low-risk disease. We integrated whole genome, transcriptome and methylome analysis of early-onset prostate cancers (diagnosis ≤55 years). Characterization across 292 prostate cancer genomes revealed age-related genomic alterations and a clock-like enzymatic-driven mutational process contributing to the earliest mutations in prostate cancer patients. Our integrative analysis identified four molecular subgroups, including a particularly aggressive subgroup with recurrent duplications associated with increased expression of ESRP1, which we validate in 12,000 tissue microarray tumors. Finally, we combined the patterns of molecular co-occurrence and risk-based subgroup information to deconvolve the molecular and clinical trajectories of prostate cancer from single patient samples.Entities:
Keywords: APOBEC; cancer genomics; early-onset cancer; epigenetic risk-score; mutational processes; prostate cancer; structural variants; tumor evolution; tumor evolution prediction
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Year: 2018 PMID: 30537516 PMCID: PMC7444093 DOI: 10.1016/j.ccell.2018.10.016
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743