Abstract
Background:Due to their varied outcomes, men with biochemical recurrence (BCR) following radical prostatectomy (RP) present a management dilemma. Here, we evaluate Decipher, a genomic classifier (GC), for its ability to predict metastasis following BCR.Methods:The study population included 85 clinically high-risk patients who developed BCR after RP. Time-dependent receiver operating characteristic (ROC) curves, weighted Cox proportional hazard models and decision curves were used to compare GC scores to Gleason score (GS), PSA doubling time (PSAdT), time to BCR (ttBCR), the Stephenson nomogram and CAPRA-S for predicting metastatic disease progression. All tests were two-sided with a type I error probability of 5%.Results:GC scores stratified men with BCR into those who would or would not develop metastasis (8% of patients with low versus 40% with high scores developed metastasis, P
Original language | English (US) |
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Pages (from-to) | 64-69 |
Number of pages | 6 |
Journal | Prostate Cancer and Prostatic Diseases |
Volume | 17 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2014 |
Keywords
- biochemical recurrence
- clinical validation
- genomic classifier
- metastasis
- prognostic models
ASJC Scopus subject areas
- Oncology
- Urology
- Cancer Research
- Medicine(all)