DNA甲基化
生物标志物
癌症
差异甲基化区
亚硫酸氢盐测序
结直肠癌
背景(考古学)
食管癌
腺癌
肿瘤科
人口
生物标志物发现
癌
甲基化
医学
癌症研究
生物
内科学
作者
Raju Kandimalla,Jianfeng Xu,Alexander Link,Takatoshi Matsuyama,Kensuke Yamamura,Mohamed Iqbal Parker,Hiroyuki Uetake,Francesc Balaguer,Erkut Borazanci,Susan Tsai,Douglas B. Evans,Stephen J Meltzer,Hideo Baba,Randall E. Brand,Daniel Von Hoff,Wei Li,Ajay Goel
出处
期刊:Clinical Cancer Research
[American Association for Cancer Research]
日期:2021-11-15
卷期号:: clincanres.1982.2021-clincanres.1982.2021
被引量:2
标识
DOI:10.1158/1078-0432.ccr-21-1982
摘要
DNA methylation alterations have emerged as front-runners in cell-free DNA (cfDNA) biomarker development. However, much effort to date has focused on single cancers. In this context, gastrointestinal (GI) cancers constitute the second leading cause of cancer-related deaths worldwide; yet there is no blood-based assay for the early detection and population screening of GI cancers.Herein, we performed a genome-wide DNA methylation analysis of multiple GI cancers to develop a pan-GI diagnostic assay. By analyzing DNA methylation data from 1,781 tumor and adjacent normal tissues, we first identified differentially methylated regions (DMR) between individual GI cancers and adjacent normal, as well as across GI cancers. We next prioritized a list of 67,832 tissue DMRs by incorporating all significant DMRs across various GI cancers to design a custom, targeted bisulfite sequencing platform. We subsequently validated these tissue-specific DMRs in 300 cfDNA specimens and applied machine learning algorithms to develop three distinct categories of DMR panels RESULTS: We identified three distinct DMR panels: (i) cancer-specific biomarker panels with AUC values of 0.98 (colorectal cancer), 0.98 (hepatocellular carcinoma), 0.94 (esophageal squamous cell carcinoma), 0.90 (gastric cancer), 0.90 (esophageal adenocarcinoma), and 0.85 (pancreatic ductal adenocarcinoma); (ii) a pan-GI panel that detected all GI cancers with an AUC of 0.88; and (iii) a multi-cancer (tissue of origin) prediction panel, EpiPanGI Dx, with a prediction accuracy of 0.85-0.95 for most GI cancers.Using a novel biomarker discovery approach, we provide the first evidence for a cfDNA methylation assay that offers robust diagnostic accuracy for GI cancers.
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