Gene expression profiling of normal breast epithelial cells following treatment with insulin-like growth factor I

Abstract

sis of these data also identified a subset of genes that distinguish tumor specimens from each other as well as from normal prostate tissue. Random permutation of the sample labels clearly indicates that the subset of genes separating tumor subgroups far exceeds that expected by chance alone (P=0.002). This work indicates that investigation of prostate cancer based on gene expression can identify genes that may help distinguish more aggressive forms of this disease.