Unknown

Dataset Information

0

Human breast cancer associated fibroblasts exhibit subtype specific gene expression profiles


ABSTRACT: Breast cancer is a heterogeneous disease for which prognosis and treatment strategies are largely governed by the receptor status (estrogen, progesterone and Her2-neu) of the tumor cells. Gene expression profiling of whole breast tumors further stratifies breast cancer into several molecular subtypes which also co-segregate with the receptor status of the tumor cells. We postulated that cancer associated fibroblasts (CAFs) within the tumor stroma may exhibit subtype specific gene expression profiles and thus contribute to the biology of the disease in a subtype specific manner. Several studies have reported gene expression profile differences between CAFs and normal breast fibroblasts but in none of these studies were the results stratified based on tumor subtypes. To address whether gene expression in breast cancer associated fibroblasts varies between breast cancer subtypes, we compared the gene expression profiles of early passage primary CAFs isolated from twenty human breast cancer samples representing three main subtypes; seven ER+, seven triple negative (TNBC) and six Her2+. We observed significant expression differences between CAFs derived from Her2+ breast cancer and CAFs from TNBC and ER+ cancers, particularly in pathways associated with cytoskeleton and integrin signaling. In the case of Her2+ breast cancer, the signaling pathways found to be selectively up regulated in CAFs may contribute to the more invasive properties and unfavorable prognosis of Her2+ breast cancer. These data demonstrate that in addition to the distinct molecular profiles that characterize the neoplastic cells, CAF gene expression is also differentially regulated in distinct subtypes of breast cancer.

ORGANISM(S): Homo sapiens

PROVIDER: GSE37614 | GEO | 2013/12/20

SECONDARY ACCESSION(S): PRJNA162563

REPOSITORIES: GEO

Similar Datasets

2013-12-20 | E-GEOD-37614 | biostudies-arrayexpress
2013-11-08 | E-GEOD-52194 | biostudies-arrayexpress
2014-08-22 | E-GEOD-55070 | biostudies-arrayexpress
2024-01-15 | PXD041186 | Pride
2022-09-01 | GSE199515 | GEO
2023-06-15 | GSE154255 | GEO
2016-12-09 | GSE75688 | GEO
2014-08-22 | GSE55070 | GEO
2017-06-10 | GSE85579 | GEO
2021-12-10 | GSE186102 | GEO