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Dataset Information

Generation of a concise gene panel for outcome prediction in urinary bladder cancer.


ABSTRACT:

Purpose

This study sought to determine if alterations in molecular pathways could supplement TNM staging to more accurately predict clinical outcome in patients with urothelial carcinoma (UC).

Patients and methods

Expressions of 69 genes involved in known cancer pathways were quantified on bladder specimens from 58 patients with UC (stages Ta-T4) and five normal urothelium controls. All tumor transcript values beyond two standard deviations from the normal mean expression were designated as over- or underexpressed. Univariate and multivariable analyses were conducted to obtain a predictive expression signature. A published external data set was used to confirm the potential of the prognostic gene panels.

Results

In univariate analysis, six genes were significantly ass

SUBMITTER: Mitra AP 

PROVIDER: S-EPMC2799152 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature