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Dataset Information

Transcriptomic classification of genetically engineered mouse models of breast cancer identifies human subtype counterparts.


ABSTRACT:

Background

Human breast cancer is a heterogeneous disease consisting of multiple molecular subtypes. Genetically engineered mouse models are a useful resource for studying mammary cancers in vivo under genetically controlled and immune competent conditions. Identifying murine models with conserved human tumor features will facilitate etiology determinations, highlight the effects of mutations on pathway activation, and should improve preclinical drug testing.

Results

Transcriptomic profiles of 27 murine models of mammary carcinoma and normal mammary tissue were determined using gene expression microarrays. Hierarchical clustering analysis identified 17 distinct murine subtypes. Cross-species analyses using three independent human breast cancer datasets identified eight murin

SUBMITTER: Pfefferle AD 

PROVIDER: S-EPMC4053990 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature