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Spatial Distribution and Prognostic Value of T Cell Subtypes and Immune Biomarkers in p16-Negative HNSCC

  • 0Department of Otorhinolaryngology, Head and Neck Surgery, Medical Faculty of Heidelberg, University of Heidelberg, INF 400, 69120 Heidelberg, Germany.
Cells +

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June 11, 2025

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June 11, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Regulatory T cells (Treg) in the tumor stroma are key immune biomarkers for predicting better survival in p16-negative head and neck squamous cell carcinoma (HNSCC). This finding offers new insights for immunotherapy strategies.

Area Of Science

  • Oncology
  • Immunology
  • Cancer Research

Background

  • Head and neck squamous cell carcinoma (HNSCC) presents significant morbidity and mortality.
  • Immunotherapy offers a promising treatment avenue, necessitating a deeper understanding of the tumor immune microenvironment.
  • The spatial distribution and prognostic implications of T cell subtypes in HNSCC require further elucidation.

Purpose Of The Study

  • To investigate the spatial distribution and prognostic value of T helper (TH), cytotoxic (CTL), and regulatory T cells (Treg) in HNSCC.
  • To assess the correlation between chemokine and cytokine levels and T cell infiltration patterns.
  • To identify potential immune biomarkers for predicting patient survival in HNSCC.

Main Methods

  • Quantification of TH, CTL, and Treg densities using multicolor tissue cytometry in 84 HNSCC specimens.
  • Discrimination of T cell location within tumor nests versus stromal compartments.
  • Assessment of 27 immune-related factors and correlation with T cell distribution and patient survival.

Main Results

  • Higher stromal Treg densities were identified as an independent prognostic factor for improved progression-free and overall survival in p16-negative HNSCC patients.
  • Elevated levels of CXCL10, IL-9, and CCL4 correlated with increased T cell numbers, particularly CTLs in direct contact with tumor cells.
  • Vascular endothelial growth factor (VEGF) showed an inverse correlation with T cell presence in the tumor stroma.

Conclusions

  • Treg cell infiltration and specific cytokine profiles represent potential novel immune biomarkers for survival prediction in p16-negative HNSCC.
  • Understanding the spatial distribution of immune cells and associated factors is crucial for developing effective immunotherapies.
  • Immune cell spatial dynamics and cytokine signatures may guide personalized treatment strategies for HNSCC.

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