Identification of four key biomarkers and small molecule drugs in nasopharyngeal carcinoma by weighted gene co-expression network analysis.

ABSTRACT: Nasopharyngeal carcinoma (NPC) is a heterogeneous carcinoma whose underlying molecular mechanisms involved in tumor initiation, progression, and migration are largely unclear. The aim of the present study was to identify key biomarkers and small-molecule drugs for screening, diagnosing, and treating NPC via gene expression profile analysis. Raw microarray data was used to identify 430 differentially expressed genes (DEGs) in the Gene Expression Omnibus (GEO) database. The key modules associated with histological grade and tumor stage were identified using weighted gene co-expression network analysis. qRT-PCR was used to verify the differential expression of hub genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the connectivity map database were used to identify

SUBMITTER: Pan X 

PROVIDER: S-EPMC8806459 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature