Molecular sub-classification of renal epithelial tumors using meta-analysis of gene expression microarrays.

ABSTRACT:

Purpose

To evaluate the accuracy of the sub-classification of renal cortical neoplasms using molecular signatures.

Experimental design

A search of publicly available databases was performed to identify microarray datasets with multiple histologic sub-types of renal cortical neoplasms. Meta-analytic techniques were utilized to identify differentially expressed genes for each histologic subtype. The lists of genes obtained from the meta-analysis were used to create predictive signatures through the use of a pair-based method. These signatures were organized into an algorithm to sub-classify renal neoplasms. The use of these signatures according to our algorithm was validated on several independent datasets.

Results

We identified three Gene Expression Omnibus datasets th

SUBMITTER: Sanford T 

PROVIDER: S-EPMC3144884 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature