Discovery and validation of novel expression signature for postcystectomy recurrence in high-risk bladder cancer.

ABSTRACT:

Background

Nearly half of muscle-invasive bladder cancer patients succumb to their disease following cystectomy. Selecting candidates for adjuvant therapy is currently based on clinical parameters with limited predictive power. This study aimed to develop and validate genomic-based signatures that can better identify patients at risk for recurrence than clinical models alone.

Methods

Transcriptome-wide expression profiles were generated using 1.4 million feature-arrays on archival tumors from 225 patients who underwent radical cystectomy and had muscle-invasive and/or node-positive bladder cancer. Genomic (GC) and clinical (CC) classifiers for predicting recurrence were developed on a discovery set (n = 133). Performances of GC, CC, an independent clinical nomogram (IBCNC),

SUBMITTER: Mitra AP 

PROVIDER: S-EPMC4241889 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature