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Related Experiment Video

Updated: Jun 16, 2025

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

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

Tomoaki Ito1,2, Takumi Iwasawa2,3, 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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
DNA methylationcirculating tumor DNA (ctDNA)liquid biopsypancreatic ductal adenocarcinomawhole-genome bisulfite sequencing (WGBS)

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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.