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A molecular signature predictive of indolent prostate cancer

Abstract:
Many newly diagnosed prostate cancers present as low Gleason score tumors that require no treatment intervention. Distinguishing the many indolent tumors from the minority of lethal ones remains a major clinical challenge. We now show that low Gleason score prostate tumors can be distinguished as indolent and aggressive subgroups on the basis of their expression of genes associated with aging and senescence. Using gene set enrichment analysis, we identified a 19-gene signature enriched in indolent prostate tumors. We then further classified this signature with a decision tree learning model to identify three genes—FGFR1, PMP22, and CDKN1A—that together accurately predicted outcome of low Gleason score tumors. Validation of this three-gene panel on independent cohorts confirmed its independent prognostic value as well as its ability to improve prognosis with currently used clinical nomograms. Furthermore, protein expression of this three-gene panel in biopsy samples distinguished Gleason 6 patients who failed surveillance over a 10-year period. We propose that this signature may be incorporated into prognostic assays for monitoring patients on active surveillance to facilitate appropriate courses of treatment.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1126/scitranslmed.3007585

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author


Publisher:
American Association for the Advancement of Science
Journal:
Science Translational Medicine More from this journal
Volume:
5
Issue:
203
Pages:
203er9-203er9
Publication date:
2013-09-01
DOI:
EISSN:
1946-6242
ISSN:
1946-6234


Pubs id:
pubs:548524
UUID:
uuid:8e0352a5-2274-4646-a324-ee38e6d205fb
Local pid:
pubs:548524
Source identifiers:
548524
Deposit date:
2015-12-13

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