ClearCode34: A prognostic risk predictor for localized clear cell renal cell carcinoma.

ABSTRACT:

Background

Gene expression signatures have proven to be useful tools in many cancers to identify distinct subtypes of disease based on molecular features that drive pathogenesis, and to aid in predicting clinical outcomes. However, there are no current signatures for kidney cancer that are applicable in a clinical setting.

Objective

To generate a signature biomarker for the clear cell renal cell carcinoma (ccRCC) good risk (ccA) and poor risk (ccB) subtype classification that could be readily applied to clinical samples to develop an integrated model for biologically defined risk stratification.

Design, setting, and participants

A set of 72 ccRCC sample standards was used to develop a 34-gene classifier (ClearCode34) for assigning ccRCC tumors to subtypes. The classif

SUBMITTER: Brooks SA 

PROVIDER: S-EPMC4058355 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature