Gene expression profiles and pathway enrichment analysis of Non-small cell lung cancer

Background and Aim: Lung carcinoma is one of the types of cancer that kills a large number of men and women each year. It is difficult to treat, but its timely diagnosis can help to success in treatment. The most common types of lung cancer consist of non-small cell lung cancer and small cell lung cancer. Non-small cell lung cancer (NSCLC) has been reported for about ۸۵% of all lung cancers. In this survey we have investigated the gene expression profile of NSCLC to identify the differentially expressed genes (DEGS) by conducting a bioinformatics analysis.Methods: The GSE ۱۸۸۴۲ was downloaded from the Gene Expression Omnibus database (GEO), and consisted of ۴۶ non-small cell lung cancers (NSCLC) and ۴۵ normal lung tissues. Transcriptome analysis console (TAC) was used to achieve differentially expressed genes (DEGs) that can be introduced as biomarkers associated with NSCLC development. A protein–protein interaction network was constructed by string and visualized in cytoscape.Results: Based on the results, glyceraldehyde-۳-phosphate dehydrogenase (GAPDH) and epidermal growth factor receptor (EGFR) are two overexpressed genes and interleukin۶ (IL۶) and toll like receptor۴ (TLR۴) are two low expressed genes can be used as hubs and potential therapeutic purpose. Subsequently, enrichment analysis of DEGs were performed using the EnrichR database. This revealed that DEGs were enriched in biological processes, molecular function and KEGG pathway of AGE-RAGE signaling in diabetic complications, proteoglycans in cancer, Fluid shear stress and atherosclerosis.Conclusion: In conclusion, the results of this study can help to introduce new targets for drug discovery and treatment of Non-small cell lung cancer.

Keywords:

genes network , pathway analysis , bioinformatics , lung cancer