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Dataset Information

Genomic prostate cancer classifier predicts biochemical failure and metastases in patients after postoperative radiation therapy.


ABSTRACT:

Purpose

To test the hypothesis that a genomic classifier (GC) would predict biochemical failure (BF) and distant metastasis (DM) in men receiving radiation therapy (RT) after radical prostatectomy (RP).

Methods and materials

Among patients who underwent post-RP RT, 139 were identified for pT3 or positive margin, who did not receive neoadjuvant hormones and had paraffin-embedded specimens. Ribonucleic acid was extracted from the highest Gleason grade focus and applied to a high-density-oligonucleotide microarray. Receiver operating characteristic, calibration, cumulative incidence, and Cox regression analyses were performed to assess GC performance for predicting BF and DM after post-RP RT in comparison with clinical nomograms.

Results

The area under the receiver opera

SUBMITTER: Den RB 

PROVIDER: S-EPMC4432840 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature