Research Article
Identification of high-risk genes in triple-negative breast cancer by bioinformatics
Author(s): Xiang Lu, Caiping Chen, Min Tao* and Guihong Ni
Background: Current research has failed to find a target gene for Triplenegative Breast Cancer (TNBC), which has resulted in the treatment for TNBC being less effective than that for other types of breast cancer. Finding high-risk genes for TNBC by bioinformatics may help to identify target genes for TNBC.
Methods: The gene expression data of 4 chips (GSE7904, GSE31448, GSE45827, GSE65194) which contains of normal breast tissue and TNBC tissue were obtained from the Gene Expression Omnibus. The Differentially Expressed Genes (DEGs) between normal breast tissue and TNBC tissue were identified. Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed by the DAVID website. Protein-protein interaction network analysis of DEGs was carried out by the STR.. Read More»
DOI:
10.37532/pulhhr.22.6(1).01-09
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