A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy.

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

SUBMITTER: Ross AE 

PROVIDER: S-EPMC4332821 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature