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Updated: Jan 17, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
CMAtlas: a comprehensive DNA methylation atlas for exploring epigenetic alterations in 34 human cancer types
Mengni Liu1,2, Lizhen Jiang1,3,4, Luowanyue Zhang2
1Clinical Big Data Research Center, Scientific Research Center, Shenzhen Key Laboratory of Bone Tissue Repair and Translational Research, Department of Orthopaedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen 518107, China.
Motivation:
Aberrant DNA methylation is a fundamental epigenetic hallmark of cancer. However, existing resources often lack technological diversity and comprehensive cancer coverage. Furthermore, most platforms fail to achieve deep multi-omics integration and tend to ignore cancer-type-specific methylation features, limiting their utility in precision oncology and drug discovery.
Results:
We developed Cancer Methylation Atlas (CMAtlas), a comprehensive platform integrating 13 753 samples across 34 cancer types. By applying technology-tailored pipelines to data from various profiling technologies, we identified 830 725 tumor-specific differentially methylated elements (DMEs) and 1 480 098 differentially methylated regions (DMRs), alongside 1 154 256 cancer-type-specific DMEs and 329 154 DMRs. The platform demonstrates high cross-platform consistency and strong concordance between tumor tissues and cell lines, ensuring the robustness of our findings. All DMEs and DMRs are annotated with multi-omics data (RNA expression, somatic mutations, and chromatin accessibility) and clinical relevance (survival associations and cell-free DNA profiling). We further demonstrate the utility of CMAtlas by identifying prognostic aberrant methylation in colorectal cancer driver genes.
Availability And Implementation:
CMAtlas is freely accessible at {{https://cmatlas.renlab.cn/}}. The platform offers an intuitive web interface supporting gene-centric and cancer-centric queries, alongside customizable analysis modules designed to facilitate user-specific research needs.
Insights
CMAtlas is a new resource for cancer methylation data, integrating diverse samples and technologies. It identifies numerous tumor-specific and cancer-type-specific methylation features, aiding precision oncology.
Area of Science:
- Epigenetics
- Cancer Biology
- Bioinformatics
Background:
- Aberrant DNA methylation is a key cancer hallmark.
- Existing resources lack technological diversity and comprehensive cancer coverage.
- Most platforms do not integrate multi-omics data or address cancer-type-specific methylation.
Purpose of the Study:
- To develop a comprehensive platform for cancer methylation data analysis.
- To integrate diverse datasets and multi-omics information.
- To facilitate precision oncology and drug discovery by providing cancer-type-specific methylation features.
Main Methods:
- Developed CMAtlas, integrating 13,753 samples across 34 cancer types.
- Applied technology-tailored pipelines to identify differentially methylated elements (DMEs) and regions (DMRs).
- Annotated DMEs and DMRs with multi-omics data (RNA expression, mutations, chromatin accessibility) and clinical relevance.
Main Results:
- Identified 830,725 tumor-specific DMEs and 1,480,098 DMRs.
- Identified 1,154,256 cancer-type-specific DMEs and 329,154 DMRs.
- Demonstrated high cross-platform consistency and concordance between tumor tissues and cell lines.
- Showcased utility by identifying prognostic aberrant methylation in colorectal cancer driver genes.
Conclusions:
- CMAtlas provides a robust and comprehensive resource for cancer methylation research.
- The platform facilitates deep multi-omics integration and analysis of cancer-type-specific methylation.
- CMAtlas supports precision oncology and drug discovery through its extensive data and analysis tools.
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