1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Bioinformatics analysis of gene expression profiles to identify key genes associated with Non-small cell lung cancer (NSCLC)
Paper ID : 1062-ICB10
Authors:
Najaf Allahyari Fard *
Shahrak-e Pajoohesh, km 15, Tehran - Karaj Highway, Tehran, Iran
Abstract:
Background: Lung cancer is one of the most common malignancies in the world, as well as the leading cause of cancer death, with over one million people dying from it each year. Non-small cell lung cancer (NSCLC) accounts for roughly 85 percent of all lung malignancies and has a five-year survival rate of fewer than 20%. An accurate understanding of the molecular mechanisms underpinning lung cancer progression, as well as the genes (proteins) implicated in the disease's pathogenesis, is critical for the development of diagnostic and treatment techniques.
Materials and Methods: In this study, four microbial gene expression datasets GSE27262, GSE31210, GSE19188, and GSE19804 from Gene Expression Omnibus (GEO) obtained and different genes expressed) (DEGs) were analyzed between SCLC samples and healthy control samples using GEO2R analytical toolkit. In addition to the STRING database and Cytoscape software to create and analyze the protein-protein interaction network (PPI) genes of expression and reduction commonly expressed between these Four data sets and determination of hub and key genes were used. Confirmation of key gene expression and associated survival was also confirmed using the GEPIA and HPA databases. Functional enrichment analysis and functional pathway enrichment analysis for DEGs were performed by the Enrichr web server.
Results and conclusion: After gene integration, a total of 850 DEGs (including 264 overexpressed genes and 586 overexpressed genes) were identified. Findings related to the pathogenesis of NSCLC were identified and after checking the susceptibility of genes (proteins) (CCNB2, TTK, PBK, RRM2, CCNB1, CCNA2, HMMR, KIF11, and TYMS as potential targets in the pathogenesis of NSCLC disease and design of target targets. Drugs were identified against the disease, and functional enrichment showed that the cell cycle is the most important pathway involved in the pathogenesis of NSCLC with the highest significant value.
Keywords:
Lung cancer, NSCLC, GEO, Cytoscape, DEGs
Status : Paper Accepted (Poster Presentation)