Identification of glycolysis-related genes and analysis of potential prognostic clinical application in oral squamous cell carcinoma

  • 0Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.

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Summary

This summary is machine-generated.

This study identifies six glycolysis-related genes (GRGs) as key predictors for oral squamous cell carcinoma (OSCC) prognosis. A novel risk score and nomogram model can predict patient outcomes and guide potential immunotherapeutic strategies.

Area Of Science

  • Oncology
  • Metabolic pathways
  • Bioinformatics

Background

  • Glycolysis is a critical metabolic pathway fueling tumor cell energy production.
  • Oral squamous cell carcinoma (OSCC) relies heavily on glycolysis.
  • Identifying prognostic biomarkers for OSCC is crucial for improving patient outcomes.

Purpose Of The Study

  • To identify glycolysis-related genes (GRGs) associated with OSCC prognosis.
  • To develop and validate a predictive model for OSCC patient outcomes based on GRGs.
  • To explore the relationship between the GRG-based risk score and tumor immune microenvironment.

Main Methods

  • Transcriptomic data from TCGA and GEO databases were analyzed.
  • Gene set enrichment analysis (GSEA), LASSO, and Cox regression identified prognostic GRGs.
  • A risk score and nomogram were constructed and validated.
  • Immune cell infiltration was assessed using CIBERSORT and TIMER.

Main Results

  • Six GRGs (ADH1A, ADH1B, ADH1C, PGK1, IER3, B4GALT1) were identified as independent prognostic factors for OSCC.
  • A risk score model based on these six GRGs demonstrated excellent predictive performance.
  • The risk score correlated with the infiltration levels of specific immune cells, including regulatory T cells.

Conclusions

  • A GRG-based risk score and nomogram can effectively predict clinical outcomes in OSCC patients.
  • Enhanced glycolysis in OSCC is linked to immune cell infiltration, suggesting potential for immunotherapy.
  • These findings offer novel targets for anti-cancer strategies in OSCC.