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Identification of two distinct head and neck squamous cell carcinoma subtypes based on fatty acid metabolism-related signatures: Implications for immunotherapy and chemotherapy

  • 0Department of Otolaryngology, Hangzhou Red Cross Hospital (Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine), Hangzhou, China.
Medicine +

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April 19, 2024

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April 19, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies two molecular subtypes of head and neck squamous cell carcinoma (HNSCC) based on fatty acid metabolism genes. A novel 11-gene risk model and nomogram can predict patient prognosis and stratify risk, aiding treatment decisions.

Area Of Science

  • Oncology
  • Metabolomics
  • Immunology

Background

  • Lipid metabolism dysregulation is crucial in tumor initiation and progression.
  • Head and neck squamous cell carcinoma (HNSCC) subtypes require molecular characterization for improved prognostication.

Purpose Of The Study

  • To classify HNSCC molecular subtypes based on fatty acid metabolism.
  • To develop a prognostic risk model and nomogram for HNSCC patients.

Main Methods

  • Transcriptomic and clinical data from public databases were analyzed.
  • Non-negative matrix factorization identified prognostic fatty acid metabolism genes (FAMGs).
  • Cox regression and machine learning constructed a prognostic risk model and nomogram.

Main Results

  • Two distinct HNSCC molecular subtypes were identified based on 3 FAMGs, showing prognostic and immune heterogeneity.
  • An 11-gene risk model stratified patients into high- and low-risk groups with differential prognoses and immune infiltration.
  • The risk model correlated with immune cell populations (B cells, T cells, macrophages, mast cells, dendritic cells).

Conclusions

  • A novel molecular classification and prognostic risk model for HNSCC based on FAMGs were developed.
  • FAMGs play a role in shaping the tumor immune microenvironment and influencing treatment response.
  • The developed nomogram integrating risk signature and radiotherapy shows promise for HNSCC prognosis prediction.