Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China.
Mol Oncol. 2024 Nov;18(11):2801-2813. doi: 10.1002/1878-0261.13643. Epub 2024 Apr 1.
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with a 5-year survival rate of 7.2% in China. However, effective approaches for diagnosis of PDAC are limited. Tumor-originating genomic and epigenomic aberration in circulating free DNA (cfDNA) have potential as liquid biopsy biomarkers for cancer diagnosis. Our study aims to assess the feasibility of cfDNA-based liquid biopsy assay for PDAC diagnosis. In this study, we performed parallel genomic and epigenomic profiling of plasma cfDNA from Chinese PDAC patients and healthy individuals. Diagnostic models were built to distinguish PDAC patients from healthy individuals. Cancer-specific changes in cfDNA methylation landscape were identified, and a diagnostic model based on six methylation markers achieved high sensitivity (88.7% for overall cases and 78.0% for stage I patients) and specificity (96.8%), outperforming the mutation-based model significantly. Moreover, the combination of the methylation-based model with carbohydrate antigen 19-9 (CA19-9) levels further improved the performance (sensitivity: 95.7% for overall cases and 95.5% for stage I patients; specificity: 93.3%). In conclusion, our findings suggest that both methylation-based and integrated liquid biopsy assays hold promise as non-invasive tools for detection of PDAC.
胰腺导管腺癌 (PDAC) 是一种高度侵袭性癌症,中国的 5 年生存率为 7.2%。然而,有效的 PDAC 诊断方法有限。循环游离 DNA(cfDNA)中的肿瘤起源基因组和表观基因组改变具有作为癌症诊断液体活检生物标志物的潜力。我们的研究旨在评估基于 cfDNA 的液体活检分析用于 PDAC 诊断的可行性。在这项研究中,我们对中国 PDAC 患者和健康个体的血浆 cfDNA 进行了平行的基因组和表观基因组分析。建立了诊断模型以区分 PDAC 患者和健康个体。确定了 cfDNA 甲基化景观中的癌症特异性变化,并基于六个甲基化标志物的诊断模型实现了高灵敏度(总体病例为 88.7%,I 期病例为 78.0%)和特异性(96.8%),显著优于基于突变的模型。此外,将基于甲基化的模型与肿瘤标志物 CA19-9 水平相结合进一步提高了性能(总体病例的灵敏度为 95.7%,I 期病例的灵敏度为 95.5%;特异性为 93.3%)。总之,我们的研究结果表明,基于甲基化的和综合的液体活检分析作为 PDAC 检测的非侵入性工具具有潜力。