DNA
癌细胞
生物
胎儿游离DNA
癌症
计算生物学
癌症研究
细胞生物学
遗传学
怀孕
胎儿
产前诊断
作者
WY Tsui,Peiyong Jiang,Y. M. Dennis Lo
标识
DOI:10.1016/j.ccell.2025.09.006
摘要
The analysis of cell-free DNA (cfDNA) fragmentation patterns, known as "fragmentomics," has opened new opportunities in noninvasive cancer diagnostics. Due to its close relationships with genomic organization and cell death, cfDNA fragmentomics lies at the intersection of many aspects of cancer biology, including epigenetic dysregulation, transcriptomic alterations, and aberrant cellular turnover patterns. Recent advances in library preparation, sequencing technologies, and integrative epigenomic-fragmentomic analyses have uncovered novel fragmentomic features that reveal specific cellular dysfunctions in cancer. Additionally, cutting-edge artificial intelligence algorithms now harness high-dimensional fragmentomic features, boosting the precision and power of cancer detection. Promising results from recent clinical trials evaluating the utility of fragmentomic analyses in real-world settings support its potential. In this review, we explore the exciting frontiers of cfDNA fragmentomics, discuss critical unanswered questions, and highlight future directions to unlock the promise of fragmentomics-based liquid biopsies in cancer care.
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