Multimodal epigenetic sequencing analysis (MESA) of cell-free DNA for non-invasive colorectal cancer detection

期刊论文
出版模式：

开放获取
发表日期：

2024年1月16日

查看全文

Yumei Li,
Jianfeng Xu,
Chaorong Chen,
Zhenhai Lu,
Desen Wan,
Diange Li,
Jason S. Li,
Allison J. Sorg,
Curt C. Roberts,
Shivani Mahajan,
Maxime A. Gallant,
Itai Pinkoviezky,
Ya Cui,
David J. Taggart,
Wei Li

摘要

Background

Detecting human cancers through cell-free DNA (cfDNA) in blood is a sensitive and non-invasive option. However, capturing multiple forms of epigenetic information remains a technical and financial challenge.

Methods

To address this, we developed multimodal epigenetic sequencing analysis (MESA), a flexible and sensitive approach to capturing and integrating a diverse range of epigenetic features in cfDNA using a single experimental assay, i.e., non-disruptive bisulfite-free methylation sequencing, such as Enzymatic Methyl-seq. MESA enables simultaneous inference of four epigenetic modalities: cfDNA methylation, nucleosome occupancy, nucleosome fuzziness, and windowed protection score for regions surrounding gene promoters and polyadenylation sites.

Results

When applied to 690 cfDNA samples from 3 colorectal cancer clinical cohorts, MESA’s novel modalities, which include nucleosome fuzziness, and genomic features, including polyadenylation sites, improve cancer detection beyond the traditional epigenetic markers of promoter DNA methylation.

Conclusions

Together, MESA stands as a major advancement in the field by utilizing comprehensive and complementary epigenetic profiles of cfDNA for effective non-invasive cancer detection.