Establishment of a prognostic model for hypoxia-associated genes in OPSCC and revelation of intercellular crosstalk
- Yichen Zhao 1, Jintao Yu 1, Chang Zheng 1, Baosen Zhou 1
- Yichen Zhao 1, Jintao Yu 1, Chang Zheng 1
- 1Department of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Hospital of China Medical University, Shenyang, China.
- 0Department of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Hospital of China Medical University, Shenyang, China.
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View abstract on PubMed
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.
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