Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.

ABSTRACT:

Background

Oral squamous cell carcinoma (OSCC) accounts for a frequently-occurring head and neck cancer, which is characterized by high rates of morbidity and mortality. Metabolism-related genes (MRGs) show close association with OSCC development, metastasis and progression, so we constructed an MRGs-based OSCC prognosis model for evaluating OSCC prognostic outcome.

Methods

This work obtained gene expression profile as well as the relevant clinical information from the The Cancer Genome Atlas (TCGA) database, determined the MRGs related to OSCC by difference analysis, screened the prognosis-related MRGs by performing univariate Cox analysis, and used such identified MRGs for constructing the OSCC prognosis prediction model through Lasso-Cox regression. Besides, we validated

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9789624 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature