Genomic hallmarks of localized, non-indolent prostate cancer
- PMID: 28068672
- DOI: 10.1038/nature20788
Genomic hallmarks of localized, non-indolent prostate cancer
Abstract
Prostate tumours are highly variable in their response to therapies, but clinically available prognostic factors can explain only a fraction of this heterogeneity. Here we analysed 200 whole-genome sequences and 277 additional whole-exome sequences from localized, non-indolent prostate tumours with similar clinical risk profiles, and carried out RNA and methylation analyses in a subset. These tumours had a paucity of clinically actionable single nucleotide variants, unlike those seen in metastatic disease. Rather, a significant proportion of tumours harboured recurrent non-coding aberrations, large-scale genomic rearrangements, and alterations in which an inversion repressed transcription within its boundaries. Local hypermutation events were frequent, and correlated with specific genomic profiles. Numerous molecular aberrations were prognostic for disease recurrence, including several DNA methylation events, and a signature comprised of these aberrations outperformed well-described prognostic biomarkers. We suggest that intensified treatment of genomically aggressive localized prostate cancer may improve cure rates.
Comment in
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Prostate cancer: The genomics of localized disease.Nat Rev Urol. 2017 Feb;14(2):65. doi: 10.1038/nrurol.2017.4. Epub 2017 Jan 17. Nat Rev Urol. 2017. PMID: 28094334 No abstract available.
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Prostate Cancer Recurrence: Genomic Clues.Cancer Discov. 2017 Mar;7(3):240. doi: 10.1158/2159-8290.CD-NB2017-016. Epub 2017 Feb 1. Cancer Discov. 2017. PMID: 28148485
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Prostate cancer: Clinical hallmarks in whole cancer genomes.Nat Rev Clin Oncol. 2017 May;14(5):265-266. doi: 10.1038/nrclinonc.2017.45. Epub 2017 Apr 4. Nat Rev Clin Oncol. 2017. PMID: 28374788 No abstract available.
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Re: Genomic Hallmarks of Localized, Non-Indolent Prostate Cancer.J Urol. 2017 Dec;198(6):1213. doi: 10.1016/j.juro.2017.09.039. Epub 2017 Sep 19. J Urol. 2017. PMID: 29144949 No abstract available.
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