Evaluating glycolysis-associated biomarkers for radiotherapy sensitivity in head and neck squamous cancer - Summary - MDSpire

Evaluating glycolysis-associated biomarkers for radiotherapy sensitivity in head and neck squamous cancer

  • By

  • Bilan Xie

  • Hainan Yang

  • Chunyuan Lin

  • Jinzhi Lai

  • June 29, 2026

  • 0 min

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Objective:

To develop a glycolysis-associated biomarker for radiotherapy sensitivity in head and neck squamous cell carcinoma (HNSC).

Approach:
  • Data Analysis: Analyzed gene expression and clinical data from 491 HNSC patients and single-cell RNA sequencing to assess glycolysis activity.
  • Radiosensitivity Index Development: Developed a glycolysis-associated radiosensitivity index (RI) using Cox regression analysis of glycolysis-related genes.
  • Immune Microenvironment Profiling: Analyzed immune microenvironment profiles and therapeutic responses using ssGSEA, CIBERSORT, TIDE, and pRRophetic.
  • In Vitro Validation: Conducted in vitro experiments to validate glycolytic activity and radiosensitivity in HNSC cell lines.
Key Findings:
  • Low glycolytic activity correlates with improved overall survival in HNSC patients post-radiotherapy.
  • High glycolytic activity is associated with radio-resistance.
  • The RI successfully stratified patients into radiosensitive (RS) and radio-resistant (RR) groups.
  • RS tumors showed higher immune cell infiltration and lower TIDE scores, indicating better immunotherapy response.
  • RR tumors exhibited increased sensitivity to chemotherapy agents, including platinum and EGFR/HER2 inhibitors.
  • Single-cell RNA sequencing revealed high-glycolysis tumors had diminished immune cell infiltration, particularly CD8+ T cells.
Interpretation:

Glycolytic activity significantly influences radiotherapy sensitivity in HNSC.

Limitations:
  • The study relies on retrospective data, which may introduce biases.
  • Further validation in larger, independent cohorts is necessary.
Conclusion:

The findings highlight the potential of the glycolysis-based RI as a predictive biomarker for radiotherapy outcomes in HNSC.

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