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Dataset Information

Prognostic stromal gene signatures in breast cancer.


ABSTRACT:

Introduction

Global gene expression analysis of tumor samples has been a valuable tool to subgroup tumors and has the potential to be of prognostic and predictive value. However, tumors are heterogeneous, and homogenates will consist of several different cell types. This study was designed to obtain more refined expression data representing different compartments of the tumor.

Methods

Formalin-fixed paraffin-embedded stroma-rich triple-negative breast cancer tumors were laser-microdissected, and RNA was extracted and processed to enable microarray hybridization. Genes enriched in stroma were identified and used to generate signatures by identifying correlating genes in publicly available data sets. The prognostic implications of the signature were analyzed.

Results

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SUBMITTER: Winslow S 

PROVIDER: S-EPMC4360948 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature