Identification of MIRNA-MRNA-HUB Gene Network Prediction in Squamous Cell Lung Carcinoma Via Starbase Server and Insilico Analysis of Hub Genes

Abstract

Lung cancer is a serious health issue worldwide causing death men than women. The environmental and genetic factored in metastasis primary lung cancer. The survival rate patient improved by identification hub genes lung cancer with bioinformatics tools. The present study was to determine the biological pathway and PPI network by identification the biomarker hub genes lung cancer. The GSE84797, GSE28827, and GSE115456 were retrieved from GEO attained upregulated and downregulated by GEO2R tool. Enrichment analysis DEGs analyzed used DAVID server. PPI network and hub genes was constructed by STRING, Cytoscape and cytoHubba. The OS and expression level were retrieved by KM plotter server and GEPIA2. Results obtained 3 DEGs dataset by GEO2R with -1.0 ≤ logFC≥1.0.Upregulated and downregulated DEGs presence for GO and pathway enrichment analysis.The PPI network and hub genes identification done with cutoff >0.9 obtained KRT5, KRT13, KRT17, KRTI6 KRTI5 , C5, PPBP, CXCL2, CCR9, and CCR7 .The OS done analyzed showed hazard ratio while expression level presented the different gene of LUSC/LUAD and normal tissues.The hub genes help in understanding the system biology of cancer through the identification network of protein interaction and hub gene identification lung cancer for classified the medicine and early diagnosis cancer.