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

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

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 bio...

Full description

Saved in:
Bibliographic Details
Main Authors: Guochao Zhao, Ruijingfang Jiang, Ying Shi, Suizhi Gao, Dansong Wang, Zhilong Li, Yuhong Zhou, Jianlong Sun, Wenchuan Wu, Jiaxi Peng, Tiantao Kuang, Yefei Rong, Jie Yuan, Shida Zhu, Gang Jin, Yuying Wang, Wenhui Lou
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Molecular Oncology
Subjects:
cfDNA
liquid biopsy
machine learning
methylation
mutation
pancreatic ductal adenocarcinoma
Online Access:https://doi.org/10.1002/1878-0261.13643
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1574-7891
1878-0261

Similar Items