Whole-genome methylation profiling of extracellular vesicle DNA in gastric cancer identifies intercellular communication features

Extracellular vesicles (EVs) are promising biomarkers for cancer diagnosis and prognosis due to their ability to carry specific biomolecular cargo, including DNA. However, the clinical utility of DNA methylation-based liquid biopsies using EV-DNA remains underexplored. The low quantity and relatively long length of EV-DNA complicate whole-genome methylation profiling. To address this, we develop Tn5-assisted Enzymatic Methyl-sequencing with Post-conversion Tailing (TEMPT), a bisulfite-free whole-genome profiling method for EV-DNA. TEMPT employs single-adapter Tn5 tagmentation, enzymatic conversion of unmodified cytosines, and post-conversion tailing to generate high-depth whole-genome EV-DNA methylomes. We apply TEMPT to EV-DNA from 58 gastric cancer and polyp samples, generating methylomes from sub-nanogram inputs and identifying differentially methylated regions (DMRs) that distinguish cancer from controls. We identify potential cancer biomarkers through DMR-associated genes, highlighting the roles of EVs in cellular communication. Our findings suggest that immune cells may serve as an alternative source of EV-DNA. This approach holds significant promise for advancing EV-DNA research and its applications in early disease diagnosis.

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Publication Details

Journal
Nature Communications
Published
2025-08-29
DOI
https://doi.org/10.1038/s41467-025-63435-w
Citations
5
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
4.03

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article

Whole-genome methylation profiling of extracellular vesicle DNA in gastric cancer identifies intercellular communication features

Zhiyuan Hu, Weikai Yan, Xiang Zhou, Jinting Jiang et al.
5 citations
Nature Communications
Extracellular vesicles in disease
4.03
article

Whole-genome methylation profiling of extracellular vesicle DNA in gastric cancer identifies intercellular communication features

Zhiyuan Hu, Weikai Yan, Xiang Zhou, Jinting Jiang, Xiaocheng Weng, Yibin Liu, Shouquan Dong, Bingqian Lin, Zhipeng Jiao, Hongling Wang, DU Yan-fang
article en
5 citations

Abstract

Extracellular vesicles (EVs) are promising biomarkers for cancer diagnosis and prognosis due to their ability to carry specific biomolecular cargo, including DNA. However, the clinical utility of DNA methylation-based liquid biopsies using EV-DNA remains underexplored. The low quantity and relatively long length of EV-DNA complicate whole-genome methylation profiling. To address this, we develop Tn5-assisted Enzymatic Methyl-sequencing with Post-conversion Tailing (TEMPT), a bisulfite-free whole-genome profiling method for EV-DNA. TEMPT employs single-adapter Tn5 tagmentation, enzymatic conversion of unmodified cytosines, and post-conversion tailing to generate high-depth whole-genome EV-DNA methylomes. We apply TEMPT to EV-DNA from 58 gastric cancer and polyp samples, generating methylomes from sub-nanogram inputs and identifying differentially methylated regions (DMRs) that distinguish cancer from controls. We identify potential cancer biomarkers through DMR-associated genes, highlighting the roles of EVs in cellular communication. Our findings suggest that immune cells may serve as an alternative source of EV-DNA. This approach holds significant promise for advancing EV-DNA research and its applications in early disease diagnosis.

Nature CommunicationsVol. 16(1)
Wuhan University (CN), Zhongnan Hospital of Wuhan University (CN)
University of Oxford, National Natural Science Foundation of China, Wuhan University, Zhongnan Hospital of Wuhan University, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 6%
Extracellular vesicles in disease
4.03
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