片段分散指数分析cfDNA片段揭示染色质可及性和早期癌症检测。

IF 4.5 Q1 BIOCHEMICAL RESEARCH METHODS
Cell Reports Methods Pub Date : 2025-07-21 Epub Date: 2025-06-18 DOI:10.1016/j.crmeth.2025.101083
Yunze Wang, Yuying Hou, Zhankun Xiong, Libo Lu, Zhanxiang Zong, Bo Wang, Hebing Chen, Wen Zhang, Xionghui Zhou
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引用次数: 0

摘要

我们引入了一种无细胞DNA (cfDNA)片段模式:片段分散指数(FDI),它整合了cfDNA片段末端分布和片段覆盖变化的信息,从而能够精确表征特定区域的染色质可及性。FDI与染色质可及性和基因表达有很强的相关性,FDI高的区域富含活性调控元件。利用来自5个数据集的全基因组cfDNA数据,我们开发并验证了fdi -肿瘤学模型,该模型在早期癌症诊断、亚型分型和预后方面表现出色。案例研究表明,HER2和TP53等关键癌症基因在癌症和对照样本中表现出显著不同的fdi。仿真实验表明,对少量区域进行深度靶向测序可以达到较高的诊断效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
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0
审稿时长
111 days
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