title: Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
abstract: Triple‑negative breast cancer (TNBC) is a heterogeneous disease characterized by an aggressive phenotype and reduced survival. The aim of the present study was to investigate the molecular mechanisms involved in the carcinogenesis of TNBC and to identify novel target molecules for therapy. The differentially expressed genes (DEGs) in TNBC and normal adjacent tissue were assessed by analyzing the GSE41970 microarray data using Qlucore Omics Explorer, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes. Pathway enrichment analyses for DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery online resource. A protein‑protein interaction (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes, and subnetworks were analyzed by ClusterONE. The PPI network and subnetworks were visualized using Cytoscape software. A total of 121 DEGs were obtained, of which 101 were upregulated and 20 were downregulated. The upregulated DEGs were significantly enriched in 14 pathways and 83 GO biological processes, while the downregulated DEGs were significantly enriched in 18 GO biological processes. The PPI network with 118 nodes and 1,264 edges was constructed and three subnetworks were extracted from the entire network. The significant hub DEGs with high degrees were identified, including TP53, glyceraldehyde‑3‑phosphate dehydrogenase, cyclin D1, HRAS and proliferating cell nuclear antigen, which were predominantly enriched in the cell cycle pathway and pathways in cancer. A number of critical genes and pathways were revealed to be associated with TNBC. The present study may provide an improved understanding of the pathogenesis of TNBC and contribute to the development of therapeutic targets for TNBC.
authors.affiliation: Institute of Genetic Engineering, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
authors.forename: Cancan
authors.initials: C
authors.lastname: Peng
authors.affiliation: Institute of Genetic Engineering, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
authors.forename: Wenli
authors.initials: W
authors.lastname: Ma
authors.affiliation: Department of Clinical Laboratory, 421 Hospital of PLA, Guangzhou, Guangdong 510318, P.R. China.
authors.forename: Wei
authors.initials: W
authors.lastname: Xia
authors.affiliation: Institute of Genetic Engineering, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China.
authors.forename: Wenling
authors.initials: W
authors.lastname: Zheng
mesh_terms: D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D053263:Gene Regulatory Networks; D006801:Humans; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D015398:Signal Transduction; D064726:Triple Negative Breast Neoplasms / Q000235:genetics* / Q000378:metabolism*