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Dataset Information

Identification of key pathways and hub genes in basal-like breast cancer using bioinformatics analysis.


ABSTRACT:

Background

Basal-like breast cancer (BLBC) is the most aggressive subtype of breast cancer (BC) and links to poor outcomes. As the molecular mechanism of BLBC has not yet been completely discovered, identification of key pathways and hub genes of this disease is an important way for providing new insights into exploring the mechanisms of BLBC initiation and progression.

Objective

The aim of this study was to identify potential gene signatures of the development and progression of the BLBC via bioinformatics analysis.

Methods and results

The differential expressed genes (DEGs) including 40 up-regulated and 21 down-regulated DEGs were identified between GSE25066 and GSE21422 microarrays, and these DEGs were significantly enriched in the terms related to oncogenic or sup

SUBMITTER: Yang K 

PROVIDER: S-EPMC6388944 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature