表观遗传学
DNA甲基化
表观遗传学
液体活检
亚型
表观基因组
组蛋白
计算生物学
基因表达谱
生物信息学
生物
癌症研究
癌症
基因表达
DNA
基因
遗传学
计算机科学
程序设计语言
作者
Sylvan C. Baca,Ji-Heui Seo,Matthew P. Davidsohn,Brad Fortunato,Karl Semaan,Shahabbedin Sotudian,Gitanjali Lakshminarayanan,Miklós Dióssy,Xintao Qiu,Talal El Zarif,Hunter Savignano,John Canniff,Ikenna Madueke,Renée Maria Saliby,Ziwei Zhang,Rong Li,Yijia Jiang,Len Taing,Mark M. Awad,Cindy H. Chau
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2023-10-21
卷期号:29 (11): 2737-2741
被引量:55
标识
DOI:10.1038/s41591-023-02605-z
摘要
Abstract Although circulating tumor DNA (ctDNA) assays are increasingly used to inform clinical decisions in cancer care, they have limited ability to identify the transcriptional programs that govern cancer phenotypes and their dynamic changes during the course of disease. To address these limitations, we developed a method for comprehensive epigenomic profiling of cancer from 1 ml of patient plasma. Using an immunoprecipitation-based approach targeting histone modifications and DNA methylation, we measured 1,268 epigenomic profiles in plasma from 433 individuals with one of 15 cancers. Our assay provided a robust proxy for transcriptional activity, allowing us to infer the expression levels of diagnostic markers and drug targets, measure the activity of therapeutically targetable transcription factors and detect epigenetic mechanisms of resistance. This proof-of-concept study in advanced cancers shows how plasma epigenomic profiling has the potential to unlock clinically actionable information that is currently accessible only via direct tissue sampling.
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