Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.

ABSTRACT:

Background

Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide, exhibiting high morbidity and mortality. The prognosis of HNSCC patients has remained poor, though considerable efforts have been made to improve the treatment of this cancer. Therefore, identifying significant differentially expressed genes (DEGs) involved in HNSCC progression and exploiting them as novel biomarkers or potential therapeutic targets for HNSCC is highly valuable.

Methods

Overlapping differentially expressed genes (DEGs) were screened out from three independent gene expression omnibus (GEO) datasets and subjected to GO and kyoto encyclopedia of genes and genomes pathway enrichment analyses. The protein-protein interactions network of DEGs was constructed in th

SUBMITTER: Jin Y 

PROVIDER: S-EPMC6687648 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature