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Disulfidptosis in head and neck squamous carcinoma: Integrative bioinformatic and in-vitro analysis

Xufeng Huang1, Jinyan Yang2, Qi Wang3

  • 1Faculty of Dentistry, University of Debrecen, Debrecen, Hungary.

Oral Diseases
|May 2, 2024
PubMed
Abstract

Insights

A new disulfidptosis-related gene index (DRGI) model aids in predicting outcomes for head and neck squamous cell carcinoma (HNSC). This DRGI model also shows potential for diagnosing HNSC and understanding its tumor immune microenvironment.

Area of Science:

  • Oncology
  • Cell Death Pathways
  • Biomarker Discovery

Background:

  • Head and neck squamous cell carcinoma (HNSC) presents limited therapeutic options, driving the need for innovative treatments.
  • Disulfidptosis, a novel cell death mechanism, emerges as a potential therapeutic target for HNSC.

Purpose of the Study:

  • To develop and validate a prognostic and diagnostic model for HNSC based on disulfidptosis-related genes (DRGs).
  • To explore the implications of this model on the tumor immune microenvironment and chemotherapy sensitivity in HNSC.

Main Methods:

  • Identification of DRGs and development of a disulfidptosis-related gene index (DRGI) prognostic model.
  • Assessment of predictive accuracy using ROC-AUC and patient risk stratification.
  • Investigation of tumor immune microenvironment, immune responses, and chemotherapy sensitivity.
  • Construction and validation of a diagnostic model using machine learning algorithms and in-vitro experiments.

Main Results:

  • A 12-DRG DRGI model was established, classifying HNSC patients into high- and low-risk groups with distinct clinical outcomes.
  • Significant differences in tumor immune microenvironment and chemosensitivity were observed between risk groups.
  • The DRGI demonstrated potential as a reliable diagnostic biomarker for HNSC, supported by advanced machine learning and in-vitro validation.

Conclusions:

  • A novel DRGI-based prognostic and diagnostic model for HNSC has been successfully established.
  • The model provides valuable insights into the tumor immune microenvironment and treatment response in HNSC.
  • This research offers a foundation for future investigations and clinical applications in HNSC management.
Keywords:
HNSCdisulfidptosishead and neck squamous carcinomaintegrative bioinformatic

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