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Dataset Information

A gene expression ratio-based diagnostic test for bladder cancer.


ABSTRACT:

Purpose

Bladder cancer is relatively common but early detection techniques such as cystoscopy and cytology are somewhat limited. We developed a broadly applicable, platform-independent and clinically relevant method based on simple ratios of gene expression to diagnose human cancers. In this study, we sought to determine whether this technique could be applied to the diagnosis of bladder cancer.

Experimental design

We developed a model for the diagnosis of bladder cancer using expression profiling data from 80 normal and tumor bladder tissues to identify statistically significant discriminating genes with reciprocal average expression levels in each tissue type. The expression levels of select genes were used to calculate individual gene pair expression ratios in order to as

SUBMITTER: Dong L 

PROVIDER: S-EPMC3169945 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature