Establishment of a prognostic model for hypoxia-associated genes in OPSCC and revelation of intercellular crosstalk

  • 0Department of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Hospital of China Medical University, Shenyang, China.

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Summary

This summary is machine-generated.

This study identifies two distinct hypoxia subtypes in oropharyngeal squamous cell carcinoma (OPSCC), linking specific gene profiles to patient prognosis and immune response. Findings suggest HPV-positive tumors with low hypoxia exhibit better outcomes and treatment sensitivity.

Area Of Science

  • Oncology
  • Immunology
  • Genomics

Background

  • Hypoxia significantly impacts the tumor microenvironment, immune response, and treatment outcomes in oropharyngeal squamous cell carcinoma (OPSCC).
  • Understanding hypoxia's role is crucial for developing effective therapeutic strategies.

Purpose Of The Study

  • To identify and characterize hypoxia subtypes in OPSCC.
  • To investigate the relationship between hypoxia, immune infiltration, and patient prognosis.
  • To explore the potential of hypoxia-related genes as prognostic markers and predict immunotherapy response.

Main Methods

  • Consistency clustering and weighted gene correlation network analysis (WGCNA) on OPSCC bulk sequencing data.
  • CIBERSORT for immune infiltration, Gene Set Enrichment Analysis (GSEA) for functional enrichment.
  • Univariate Cox and LASSO regression for prognostic model construction.
  • scRNA-seq, TSNE clustering, scissors algorithm, and Cellchat for cellular analysis.
  • TIDE algorithm for immunotherapy response prediction.

Main Results

  • Two hypoxia subtypes were identified in OPSCC.
  • A prognostic model for seven hypoxia-related genes was constructed.
  • Low hypoxia and low-risk groups showed a prevalence of HPV-positive patients.
  • Low TDO2 expression was observed in HPV-positive (P16-positive) patients.
  • HPV16 E7's role in inhibiting HIF-1α, reducing glycolysis, and improving prognosis was predicted.
  • scRNA-seq and scissors algorithm effectively classified cell types based on hypoxia.
  • Significant cellular crosstalk among epithelial, fibroblast, and endothelial cells was identified.

Conclusions

  • Hypoxia subtypes in OPSCC are associated with distinct clinical characteristics and immune microenvironments.
  • Hypoxia-related genes can serve as prognostic markers and predict immunotherapy response.
  • HPV-positive OPSCC with low hypoxia demonstrates better prognosis and treatment sensitivity, potentially mediated by HPV16 E7's effect on glycolysis.
  • Cellular communication networks within the tumor microenvironment are influenced by hypoxia and contribute to tumor progression.