Genome-scale meta-analysis of breast cancer datasets identifies promising targets for drug development.

ABSTRACT:

Background

Because of the highly heterogeneous nature of breast cancer, each subtype differs in response to several treatment regimens. This has limited the therapeutic options for metastatic breast cancer disease requiring exploration of diverse therapeutic models to target tumor specific biomarkers.

Methods

Differentially expressed breast cancer genes identified through extensive data mapping were studied for their interaction with other target proteins involved in breast cancer progression. The molecular mechanisms by which these signature genes are involved in breast cancer metastasis were also studied through pathway analysis. The potential drug targets for these genes were also identified.

Results

From 50 DEGs, 20 genes were identified based on fold change and p

SUBMITTER: Altaf R 

PROVIDER: S-EPMC7885587 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature