Circulating cell-free DNA methylation-based multi-omics analysis allows early diagnosis of pancreatic ductal adenocarcinoma

被引:2
|
作者
Zhao, Guochao [1 ]
Jiang, Ruijingfang [2 ]
Shi, Ying [2 ]
Gao, Suizhi [3 ]
Wang, Dansong [1 ]
Li, Zhilong [2 ]
Zhou, Yuhong [4 ]
Sun, Jianlong [2 ]
Wu, Wenchuan [1 ]
Peng, Jiaxi [2 ]
Kuang, Tiantao [1 ]
Rong, Yefei [1 ]
Yuan, Jie [5 ]
Zhu, Shida [6 ,7 ]
Jin, Gang [3 ,8 ]
Wang, Yuying [2 ,9 ]
Lou, Wenhui [1 ,10 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Canc Ctr, Dept Pancreat Surg, Shanghai, Peoples R China
[2] Envelope Hlth Biotechnol Co Ltd, BGI Shenzhen, Shenzhen, Peoples R China
[3] Navy Med Univ, Changhai Hosp, Dept Hepatobiliary Pancreat Surg, Shanghai, Peoples R China
[4] Fudan Univ, Zhongshan Hosp, Dept Med Oncol, Canc Ctr, Shanghai, Peoples R China
[5] Southern Med Univ, Affiliated Hosp 5, Guangzhou, Peoples R China
[6] BGI Genom, BGI Shenzhen, Shenzhen, Peoples R China
[7] BGI Shenzhen, Shenzhen Engn Lab Innovat Mol Diag, Shenzhen, Peoples R China
[8] Navy Med Univ, Changhai Hosp, Dept Hepatobiliary Pancreat Surg, 168,Changhai Rd, Shanghai 200433, Peoples R China
[9] Envelope Hlth Biotechnol Co Ltd, BGI Shenzhen, 7,21,Hongan 3rd Ave, Shenzhen 518083, Peoples R China
[10] Fudan Univ, Zhongshan Hosp, Canc Ctr, Dept Pancreat Surg, 180,Fenlin Rd, Shanghai 200032, Peoples R China
关键词
cfDNA; liquid biopsy; machine learning; methylation; mutation; pancreatic ductal adenocarcinoma; CLINICAL UTILITY; TUMOR DNA; CA-19-9;
D O I
10.1002/1878-0261.13643
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:2801 / 2813
页数:13
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