Histone modifications of circulating nucleosomes are associated with changes in cell-free DNA fragmentation patterns

Jinyue Bai(Chinese University of Hong Kong), Peiyong Jiang(Chinese University of Hong Kong), Lu Ji(Chinese University of Hong Kong), W.K. Lam(Chinese University of Hong Kong), Qing Zhou(Chinese University of Hong Kong), L Mary-Jane(Chinese University of Hong Kong), Spencer C Ding(Chinese University of Hong Kong), Saravanan Ramakrishnan(Chinese University of Hong Kong), Chun Wai Wan, Tongxin Claire Yang(Chinese University of Hong Kong), Masashi Yukawa(Chinese University of Hong Kong), Rebecca W.Y. Chan(Chinese University of Hong Kong), Rong Qiao(Chinese University of Hong Kong), Stephanie C Y Yu(Chinese University of Hong Kong), L Y Lois Choy(Chinese University of Hong Kong), Yuwei Shi(Chinese University of Hong Kong), Zilong Wang(Chinese University of Hong Kong), Tommy H. C. Tam(Chinese University of Hong Kong), Man Fai Law(Chinese University of Hong Kong), Raymond Wong(Chinese University of Hong Kong), John Wong(Chinese University of Hong Kong), Stephen L. Chan(Chinese University of Hong Kong), Grace Lai‐Hung Wong(Chinese University of Hong Kong), Vincent Wai‐Sun Wong(Chinese University of Hong Kong), K.C. Allen Chan(Chinese University of Hong Kong), Yuk Ming Dennis Lo(Chinese University of Hong Kong)
Proceedings of the National Academy of Sciences
October 9, 2024
Cited by 33Open Access
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Abstract

The analysis of tissues of origin of cell-free DNA (cfDNA) is of research and diagnostic interest. Many studies focused on bisulfite treatment or immunoprecipitation protocols to assess the tissues of origin of cfDNA. DNA loss often occurs during such processes. Fragmentomics of cfDNA molecules has uncovered a wealth of information related to tissues of origin of cfDNA. There is still much room for the development of tools for assessing contributions from various tissues into plasma using fragmentomic features. Hence, we developed an approach to analyze the relative contributions of DNA from different tissues into plasma, by identifying characteristic fragmentation patterns associated with selected histone modifications. We named this technique as FRAGmentomics-based Histone modification Analysis (FRAGHA). Deduced placenta-specific histone H3 lysine 27 acetylation (H3K27ac)-associated signal correlated well with the fetal DNA fraction in maternal plasma (Pearson’s r = 0.96). The deduced liver-specific H3K27ac-associated signal correlated with the donor-derived DNA fraction in liver transplantation recipients (Pearson’s r = 0.92) and was significantly increased in patients with hepatocellular carcinoma (HCC) ( P < 0.01, Wilcoxon rank-sum test). Significant elevations of erythroblasts-specific and colon-specific H3K27ac-associated signals were observed in patients with β-thalassemia major and colorectal cancer, respectively. Furthermore, using the fragmentation patterns from tissue-specific H3K27ac regions, a machine learning algorithm was developed to enhance HCC detection, with an area under the curve (AUC) of up to 0.97. Finally, genomic regions with H3K27ac or histone H3 lysine 4 trimethylation (H3K4me3) were found to exhibit different fragmentomic patterns of cfDNA. This study has shed light on the relationship between cfDNA fragmentomics and histone modifications, thus expanding the armamentarium of liquid biopsy.


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