Fragment dispersity index analysis of cfDNA fragments reveals chromatin accessibility and enables early cancer detection

We introduce a cell-free DNA (cfDNA) fragmentation pattern: the fragment dispersity index (FDI), which integrates information on the distribution of cfDNA fragment ends with the variation in fragment coverage, enabling precise characterization of chromatin accessibility in specific regions. The FDI shows a strong correlation with chromatin accessibility and gene expression, and regions with high FDI are enriched in active regulatory elements. Using whole-genome cfDNA data from five datasets, we developed and validated the FDI-oncology model, which demonstrates robust performance in early cancer diagnosis, subtyping, and prognosis. Case studies reveal that key cancer genes such as HER2 and TP53 exhibit significantly different FDIs between cancer and control samples. Simulation experiments suggest that deep targeted sequencing of a small number of regions can achieve high diagnostic efficiency.

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Publication Details

Journal
Cell Reports Methods
Published
2025-06-18
DOI
https://doi.org/10.1016/j.crmeth.2025.101083
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94

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article

Fragment dispersity index analysis of cfDNA fragments reveals chromatin accessibility and enables early cancer detection

Zhankun Xiong, Zhanxiang Zong, Xionghui Zhou, Hebing Chen et al.
1 citations
Cell Reports Methods
Cancer Genomics and Diagnostics
0.94
article

Fragment dispersity index analysis of cfDNA fragments reveals chromatin accessibility and enables early cancer detection

Zhankun Xiong, Zhanxiang Zong, Xionghui Zhou, Hebing Chen, Lin Lü, Yunze Wang, Wen Zhang, Yuying Hou, Bo Wang
article en
1 citations

Abstract

We introduce a cell-free DNA (cfDNA) fragmentation pattern: the fragment dispersity index (FDI), which integrates information on the distribution of cfDNA fragment ends with the variation in fragment coverage, enabling precise characterization of chromatin accessibility in specific regions. The FDI shows a strong correlation with chromatin accessibility and gene expression, and regions with high FDI are enriched in active regulatory elements. Using whole-genome cfDNA data from five datasets, we developed and validated the FDI-oncology model, which demonstrates robust performance in early cancer diagnosis, subtyping, and prognosis. Case studies reveal that key cancer genes such as HER2 and TP53 exhibit significantly different FDIs between cancer and control samples. Simulation experiments suggest that deep targeted sequencing of a small number of regions can achieve high diagnostic efficiency.

Cell Reports MethodsVol. 5(7)
Huazhong Agricultural University (CN), Academy of Military Medical Sciences (CN)
Johns Hopkins University, National Natural Science Foundation of China, Huazhong Agricultural University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 24%
Cancer Genomics and Diagnostics
0.94
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