Identification of Gene Changes Induced by Drug Therapy in the Triple Negative Breast Cancer Using Bioinformatics Analysis
HUO Dandan
ZHANG Junhui
QIU Jiange
LIU Wenjing
WANG Meng
LI Juntao
ZHAO Erjiang
Abstract：Objective To study the differentially expressed genes(DEGs)of triple negative breast cancer(TNBC)cells in response to chemotherapy with docetaxel based on bioinformatics methods,and to provide new ideas for the diagnosis and treatment of TNBC.Methods The TNBC gene-on-chip dataset GSE70690 was obtained from the public Gene Expression Omnibus(GEO)of the National Center for Biotechnology Information(NCBI)in the United States.The DEGs was screened using R language software,and the gene function enrichment analysis was performed using the DAVID online database.The protein-protein interaction networks(PPI)was constructed using String online database to screen out the key genes of docetaxel chemotherapy response.Results A total of 865 differentially expressed genes were selected by microarray data analysis,including 395 up-regulated differential genes and 470 down-regulated differential genes.The results of gene ontology(GO)function analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis showed that differentially expressed genes were related to DNA replication and cell division,and were concentrated in the DNA replication signaling pathway.Through the construction of PPI network screening,CDK1,TOP2A and BRCA1 were the key genes in the molecular mechanism of docetaxel chemotherapy in triple negative breast cancer patients.Conclusion Three key genes and key signaling pathways of Docetaxel for TNBC chemotherapy were screened by bioinformatics method,providing a new theoretical basis for improving the efficacy of TNBC chemotherapy.
Keywords：triple negative breast cancerbioinformaticsdifferentially expressed gene
Publication Date：2025-01-29
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 193-197 )