The molecular portraits of breast tumors are conserved across microarray platforms.

ABSTRACT:

Background

Validation of a novel gene expression signature in independent data sets is a critical step in the development of a clinically useful test for cancer patient risk-stratification. However, validation is often unconvincing because the size of the test set is typically small. To overcome this problem we used publicly available breast cancer gene expression data sets and a novel approach to data fusion, in order to validate a new breast tumor intrinsic list.

Results

A 105-tumor training set containing 26 sample pairs was used to derive a new breast tumor intrinsic gene list. This intrinsic list contained 1300 genes and a proliferation signature that was not present in previous breast intrinsic gene sets. We tested this list as a survival predictor on a data set of 311

SUBMITTER: Hu Z 

PROVIDER: S-EPMC1468408 | biostudies-literature | 2006 Apr

REPOSITORIES: biostudies-literature