Center for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute, Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas.
Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas.
Clin Cancer Res. 2021 Nov 15;27(22):6135-6144. doi: 10.1158/1078-0432.CCR-21-1982. Epub 2021 Aug 31.
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.
DNA 甲基化改变已成为细胞游离 DNA(cfDNA)生物标志物开发的领跑者。然而,迄今为止,大多数研究都集中在单一癌症上。在这种情况下,胃肠道(GI)癌症是全球癌症相关死亡的第二大主要原因;然而,目前还没有用于早期检测和人群筛查 GI 癌症的基于血液的检测方法。
本文通过对多种 GI 癌症进行全基因组 DNA 甲基化分析,开发了一种泛 GI 诊断检测方法。通过分析来自 1781 个肿瘤和相邻正常组织的 DNA 甲基化数据,我们首先确定了个体 GI 癌症与相邻正常组织之间以及 GI 癌症之间的差异甲基化区域(DMR)。接下来,我们通过整合各种 GI 癌症中的所有显著 DMR,对 67832 个组织 DMR 进行了优先级排序,以设计一个定制的、靶向的亚硫酸氢盐测序平台。随后,我们在 300 个 cfDNA 标本中验证了这些组织特异性 DMR,并应用机器学习算法开发了三个不同类别的 DMR 面板。
我们确定了三个不同的 DMR 面板:(i)癌症特异性生物标志物面板,其 AUC 值分别为 0.98(结直肠癌)、0.98(肝细胞癌)、0.94(食管鳞状细胞癌)、0.90(胃癌)、0.90(食管腺癌)和 0.85(胰腺导管腺癌);(ii)一种能检测所有 GI 癌症的泛 GI 面板,AUC 值为 0.88;(iii)一种多癌症(起源组织)预测面板,EpiPanGI Dx,对大多数 GI 癌症的预测准确率为 0.85-0.95。
使用一种新的生物标志物发现方法,我们首次提供了一种 cfDNA 甲基化检测方法的证据,该方法为 GI 癌症提供了稳健的诊断准确性。