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Updated: May 25, 2025
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Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
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Evaluation of Pan-Cancer Immune Heterogeneity Based on DNA Methylation
Yang Zhou1, Jiebiao Liu1, Bowen Shi1
1Faculty of Life Sciences and Medicine, School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Genes
|February 26, 2025
Summary
This study used DNA methylation data to analyze immune cell composition in 14 cancer types. It revealed significant immune heterogeneity within and between tumors, aiding in tumor diagnosis.
Area of Science:
- Immunology
- Oncology
- Genomics
- Bioinformatics
Background:
- Tumor immune microenvironment heterogeneity is crucial in cancer development.
- Understanding immune cell composition is key to effective cancer treatment strategies.
Purpose of the Study:
- To evaluate the composition of seven immune cells across 5323 samples from 14 cancer types.
- To investigate intra-tumor and inter-tumor immune heterogeneity using DNA methylation data.
Main Methods:
- Developed a deconvolution algorithm to estimate immune cell composition from DNA methylation data.
- Utilized 1256 immune cell population-specific methylation genes for analysis.
- Identified 42 tumor subtypes across 14 cancer types based on immune infiltration features.
Main Results:
- Revealed significant differences in immune cell composition among subtypes for each cancer.
- Observed correlations between methylation values, gene expression, and tumor phenotypes (survival, stage).
- Identified distinct subtypes characterized by varying proportions of CD4+ T cells, CD8+ T cells, NK cells, B cells, monocytes, neutrophils, and eosinophils.
Conclusions:
- Demonstrated significant intra-tumor and inter-tumor immune heterogeneity in pan-cancer samples.
- DNA methylation analysis provides valuable insights for tumor diagnosis and understanding immune landscapes.
