Gene expression profiling predicts survival in conventional renal cell carcinoma.

ABSTRACT:

Background

Conventional renal cell carcinoma (cRCC) accounts for most of the deaths due to kidney cancer. Tumor stage, grade, and patient performance status are used currently to predict survival after surgery. Our goal was to identify gene expression features, using comprehensive gene expression profiling, that correlate with survival.

Methods and findings

Gene expression profiles were determined in 177 primary cRCCs using DNA microarrays. Unsupervised hierarchical clustering analysis segregated cRCC into five gene expression subgroups. Expression subgroup was correlated with survival in long-term follow-up and was independent of grade, stage, and performance status. The tumors were then divided evenly into training and test sets that were balanced for grade, stage, perform

SUBMITTER: Zhao H 

PROVIDER: S-EPMC1298943 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature