From the Department of Surgery.
Section of Digestive Diseases, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT.
Pancreas. 2021 Oct 1;50(9):1267-1273. doi: 10.1097/MPA.0000000000001919.
The potential of DNA methylation alterations in early pancreatic cancer (PC) detection among pancreatic tissue cell-free DNA seems promising. This study investigates the diagnostic capacity of the 4-gene methylation biomarker panel, which included ADAMTS1, BNC1, LRFN5, and PXDN genes, in a case-control study.
A genome-wide pharmacoepigenetic approach identified ADAMTS1, BNC1, LRFN5, and PXDN genes as putative targets. Tissue samples including stage I-IV PC (n = 44), pancreatic intraepithelial neoplasia (n = 15), intraductal papillary mucinous neoplasms (n = 24), and normal pancreas (n = 8), and cell-free DNA, which was acquired through methylation on beads technology from PC (n = 22) and control patients (n = 10), were included. The 2-∆ct was the outcome of interest and underwent receiver operating characteristic analysis to determine the diagnostic accuracy of the panel.
Receiver operating characteristic analysis revealed an area under the curve of 0.93 among ADAMTS1, 0.76 among BNC1, 0.75 among PXDN, and 0.69 among LRFN5 gene. The combination gene methylation panel (ADAMTS1, BNC1, LRFN5, and PXDN) had an area under the curve of 0.94, with a sensitivity of 100% and specificity of 90%.
This methylation-based biomarker panel had promising accuracy for PC detection and warranted further validation in prospective PC surveillance trials.
在胰腺组织无细胞 DNA 中,DNA 甲基化改变在早期胰腺癌 (PC) 检测中的潜力似乎很有前景。本研究通过病例对照研究,调查了包括 ADAMTS1、BNC1、LRFN5 和 PXDN 基因在内的 4 个基因甲基化生物标志物组合的诊断能力。
全基因组药物基因组表观遗传方法鉴定出 ADAMTS1、BNC1、LRFN5 和 PXDN 基因作为潜在的靶点。包括 I-IV 期 PC(n=44)、胰腺上皮内瘤变(n=15)、导管内乳头状黏液性肿瘤(n=24)和正常胰腺(n=8)的组织样本,以及通过基于珠子的甲基化技术从 PC(n=22)和对照患者(n=10)中获得的无细胞 DNA 均包含在内。2-∆ct 是研究的主要结果,采用接收者操作特征分析来确定该组合的诊断准确性。
接收者操作特征分析显示,ADAMTS1 的曲线下面积为 0.93,BNC1 为 0.76,PXDN 为 0.75,LRFN5 为 0.69。联合基因甲基化标志物组合(ADAMTS1、BNC1、LRFN5 和 PXDN)的曲线下面积为 0.94,具有 100%的敏感性和 90%的特异性。
基于甲基化的生物标志物组合对 PC 的检测具有良好的准确性,值得在前瞻性 PC 监测试验中进一步验证。