Computational Approach To Gene Expression Analysis Between Triple Negative Breast Cancer and Lung Cancer Metastasis

Background and aim: breast cancer is one of the most prevalent malignancies among women worldwide. triple negative breast cancer (tnbc) is a type of breast cancer in which estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 (her-2) are not expressed. lung cancer begins in the lungs and may spread to lymph nodes or other organs in the body, such as the brain. cancer from other organs also may spread to the lungs. other common sites are the liver, and brain. no matter where it spreads, it’s still considered breast cancer and is treated as such. in this study we find the important and common genes that are therapeutic targets in these two diseases.methods: genes related to tnbc and lung cancer were extracted from genecard database. then common genes of these two diseases were identified by venn diagram. the network was constructed by cytoscape software (version 3.5.1). then main component of the network was analyzed considering centrality parameters including degree, betweenness, closeness and stress. furthermore, gene ontology (go) analysis of the key genes was performed.results: output of genecards database shown 1550 genes in tnbc and 22399 genes in lung cancer are differentially expressed. 875 genes were common between tnbc and lung cancer. tp53, hras, myc, pten, kras, ccnd1, egfr, cdkn2a, esr1, erbb2, akt1, vegfa, stat3, notch1, ctnnb1, brca1, jun, egf are the genes with high degree among the genes respectively. 14 crucial genes were analyzed by go analysis, among all, molecular function “protein kinase binding (go:0019901), was disclosed as top category followed by cellular component “nuclear chromatin (go:0000790).conclusion: the analyses of common genes of the tnbc and lung cancer showed that there are some common crucial genes including tp53, hras, myc, pten, kras, ccnd1, egfr, cdkn2a, esr1, erbb2, akt1, vegfa, stat3, notch1, ctnnb1, brca1, jun and egf which are tightly related to progress of disease. therefore, these genes and pathways can be considered as an appropriate target for control and treatment of tnbc and and lung cancer.