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Plasma And Urine Circulating Tumor Dna Methylation Profiles For Non-invasive Pancreatic Ductal Adenocarcinoma Detection: Significant Findings In Plasma Only.

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Plasma And Urine Circulating Tumor Dna Methylation Profiles For Non-invasive Pancreatic Ductal Adenocarcinoma Detection: Significant Findings In Plasma Only.

Related Experiment Video

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

Plasma and Urine Circulating Tumor DNA Methylation Profiles for Non-Invasive Pancreatic Ductal Adenocarcinoma

Tomoaki Ito^1,2, Takumi Iwasawa^2,3, Shunsuke Sakuraba¹

¹Department of Surgery, Juntendo University Shizuoka Hospital, Juntendo University School of Medicine, Shizuoka 410-2295, Japan.

International Journal of Molecular Sciences

|June 13, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Keywords:

DNA methylation circulating tumor DNA (ctDNA)liquid biopsy pancreatic ductal adenocarcinoma whole-genome bisulfite sequencing (WGBS)

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Plasma circulating tumor DNA (ctDNA) methylation shows promise for detecting pancreatic cancer early. Urine ctDNA methylation was less informative in this study, highlighting plasma as a potential non-invasive biomarker for pancreatic ductal adenocarcinoma.

Area of Science:

Oncology
Molecular Biology
Biomarker Discovery

Background:

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer with poor prognosis.
Early detection of PDAC is hampered by the absence of reliable, non-invasive biomarkers.
Circulating tumor DNA (ctDNA) methylation is emerging as a potential source for cancer detection.

Purpose of the Study:

To evaluate plasma and urine ctDNA methylation profiles as potential non-invasive biomarkers for PDAC detection.
To assess the utility of ctDNA methylation patterns in distinguishing PDAC patients from healthy controls.

Main Methods:

Whole-genome bisulfite sequencing was performed on ctDNA isolated from plasma and urine samples.
Samples were obtained from 35 PDAC patients and 10 non-cancerous controls.

Differential methylation analysis and hierarchical clustering were employed to analyze the data.

Main Results:

Plasma ctDNA methylation profiles significantly differentiated PDAC patients from controls, with notable differences in intergenic regions.
Hierarchical clustering based on plasma ctDNA methylation accurately grouped PDAC patients.
Urine ctDNA methylation profiles did not reveal significant differences between PDAC patients and controls.

Conclusions:

Plasma ctDNA methylation patterns represent a promising non-invasive biomarker for the early detection of pancreatic ductal adenocarcinoma.
Urine ctDNA methylation appears less effective for PDAC detection compared to plasma ctDNA.
Further validation in larger cohorts and exploration of machine learning algorithms are recommended to enhance diagnostic accuracy.