In silico ascription of gene expression differences to tumor and stromal cells in a model to study impact on breast cancer outcome.

ABSTRACT: Breast tumors consist of several different tissue components. Despite the heterogeneity, most gene expression analyses have traditionally been performed without prior microdissection of the tissue sample. Thus, the gene expression profiles obtained reflect the mRNA contribution from the various tissue components. We utilized histopathological estimations of area fractions of tumor and stromal tissue components in 198 fresh-frozen breast tumor tissue samples for a cell type-associated gene expression analysis associated with distant metastasis. Sets of differentially expressed gene-probes were identified in tumors from patients who developed distant metastasis compared with those who did not, by weighing the contribution from each tumor with the relative content of stromal and tumor epithel

SUBMITTER: Myhre S 

PROVIDER: S-EPMC2988804 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature