A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.

ABSTRACT:

Background

Oral squamous cell carcinoma (OSCC) is the most frequent tumor of the head and neck. The glycolysis-related genes and immune-related genes have been proven prognostic values in various cancers. Our study aimed to test the prognostic value of glycolysis-immune-related genes in OSCC.

Methods

Data of OSCC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment analysis was applied to the glycolysis- and immune-related genes screened by differential expression analysis. Univariate Cox and LASSO Cox analyses were used to filtrate the genes related to the prognosis of OSCC and to construct Risk Score model.

Results

A Risk Score model was constructed by six glycolysis-immune-related genes (including ALDOC,

SUBMITTER: Liu Y 

PROVIDER: S-EPMC9351085 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature