深度测序
体细胞
基因组
计算生物学
胎儿游离DNA
全基因组测序
癌症
单细胞测序
生物
突变
基因
DNA测序
遗传学
DNA
外显子组测序
胎儿
产前诊断
怀孕
作者
Asaf Zviran,Rafael Schulman,Minita Shah,Steven T. Hill,Sunil Deochand,Cole C. Khamnei,Dillon Maloney,Kristofer Patel,Will Liao,Adam J. Widman,Phillip Wong,Margaret K. Callahan,Gavin Ha,Sarah C. Reed,Denisse Rotem,Dennie T. Frederick,Tatyana Sharova,Benchun Miao,Tommy Kim,Greg Gydush
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2020-06-01
卷期号:26 (7): 1114-1124
被引量:322
标识
DOI:10.1038/s41591-020-0915-3
摘要
In many areas of oncology, we lack sensitive tools to track low-burden disease. Although cell-free DNA (cfDNA) shows promise in detecting cancer mutations, we found that the combination of low tumor fraction (TF) and limited number of DNA fragments restricts low-disease-burden monitoring through the prevailing deep targeted sequencing paradigm. We reasoned that breadth may supplant depth of sequencing to overcome the barrier of cfDNA abundance. Whole-genome sequencing (WGS) of cfDNA allowed ultra-sensitive detection, capitalizing on the cumulative signal of thousands of somatic mutations observed in solid malignancies, with TF detection sensitivity as low as 10-5. The WGS approach enabled dynamic tumor burden tracking and postoperative residual disease detection, associated with adverse outcome. Thus, we present an orthogonal framework for cfDNA cancer monitoring via genome-wide mutational integration, enabling ultra-sensitive detection, overcoming the limitation of cfDNA abundance and empowering treatment optimization in low-disease-burden oncology care.
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