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Dataset Information

Evaluation of Pan-Cancer Immune Heterogeneity Based on DNA Methylation.


ABSTRACT:

Background/objectives

The heterogeneity of the tumor immune microenvironment is a key determinant of tumor oncogenesis. This study aims to evaluate the composition of seven immune cells across 5323 samples from 14 cancers using DNA methylation data.

Methods

A deconvolution algorithm was proposed to estimate the composition of seven immune cells using 1256 immune cell population-specific methylation genes. Based on the immune infiltration features of seven immune cell fractions, 42 subtypes of 14 tumors (2-5 subtypes per tumor) were identified.

Results

Significant differences in immune cells between subtypes were revealed for each cancer. The study found that the methylation values of the selected specific sites correlated with gene expression in most tumor subtypes. I

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC11855777 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature