Cross-talk of m6A methylation modification and the tumor microenvironment composition in esophageal cancer
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals N6-methyladenosine (m<sup>6</sup>A) methylation patterns in esophageal cancer (EC) influence the tumor microenvironment (TME) and immune infiltration. An m<sup>6</sup>A score predicts patient survival and immunotherapy response, offering a new tool for personalized EC treatment.
Area Of Science
- Oncology
- Molecular Biology
- Immunology
Background
- Esophageal cancer (EC) presents a significant clinical challenge with poor prognosis.
- Current EC therapies are limited by tumor heterogeneity and the complex tumor microenvironment (TME).
- The role of N6-methyladenosine (m<sup>6</sup>A) methylation in the EC TME is not fully understood.
Purpose Of The Study
- To investigate the role of m<sup>6</sup>A regulators in EC.
- To analyze the association between m<sup>6</sup>A modification patterns, TME characteristics, and immune cell infiltration.
- To develop a prognostic scoring system for EC patients.
Main Methods
- Bioinformatics analysis of EC datasets (TCGA, GEO).
- Single-cell RNA sequencing (scRNA-seq) and consensus clustering to classify m<sup>6</sup>A patterns.
- Development of an m<sup>6</sup>A scoring system using principal component analysis.
Main Results
- Two distinct m<sup>6</sup>A clusters were identified, correlating with different TME and immune infiltration profiles.
- An immune-inflamed phenotype (m<sup>6</sup>A cluster B) showed significantly better survival than an immune-excluded phenotype (m<sup>6</sup>A cluster A).
- m<sup>6</sup>A scores positively correlated with immune cell presence and predicted adverse outcomes, with low scores indicating better immunotherapy response.
Conclusions
- m<sup>6</sup>A methylation critically influences the EC TME and immune dynamics.
- The developed m<sup>6</sup>A score serves as a quantitative tool for predicting EC tumor behavior and treatment efficacy.
- This scoring system highlights EC's correlation with TME immune cell composition, suggesting potential as a biomarker for targeted EC therapies.
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