Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.

ABSTRACT:

Objective

This study aimed to identify key genes associated with the pathogenesis of nasopharyngeal carcinoma (NPC) by bioinformatics analysis.

Methods

Datasets (GSE13597 and GSE34573) were screened and downloaded from the comprehensive gene expression database (GEO). GEO2R online tool was adopted to analyze microarray data GSE13597 and GSE34573 related to NPC. Volcano plot was generated using Bioconductor in R software. "Pheatmap" was used to draw heatmaps based on the top 10 regulated genes of GSE13597 and GSE34573. GO and KEGG analyses were conducted via online tool DAVID. We uploaded the DEGs of NPC to STRING software and then used Cytoscape software to draw PPI network of DEGs.

Results

216 DEGs were obtained in GSE13597 between patient and control group (111 up-r

SUBMITTER: Song Y 

PROVIDER: S-EPMC9197650 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature