Bioinformatics analysis on enrichment analysis of potential hub genes in breast cancer.

ABSTRACT:

Background

Despite recent advances in screening, treatment, and survival, breast cancer remains the most invasive cancer in women. The development of novel diagnostic and therapeutic markers for breast cancer may provide more information about its pathogenesis and progression.

Methods

We obtained GSE86374 micro-expression matrix chip data from the Gene Expression Omnibus (GEO) database consisting of 159 samples (124 normal samples and 35 breast cancer samples). The language was then used to perform data processing and differential expression analysis. For all differentially expressed genes (DEGs), "FDR <0.01 and |logFC| ≥1" were selected as thresholds.

Results

In this study, 173 up-regulated genes and 143 down-regulated genes were selected for GO and KEGG enrichment a

SUBMITTER: Wei L 

PROVIDER: S-EPMC8797715 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature