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Related Experiment Video

Updated: Mar 29, 2026

Isolation of Proximal Fluids to Investigate the Tumor Microenvironment of Pancreatic Adenocarcinoma
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A Pancreatic Ductal Adenocarcinoma Diagnostic System Using Serum Extracellular Vesicle Detection with Optimized

Tatsuya Kawakami1, Sho Uemura2, Masayuki Ono1

  • 1Future Creation Research Laboratory, JVCKENWOOD Corporation, Yokohama 221-0022, Japan.

Cancers
|March 28, 2026
PubMed
Summary

A new blood test using extracellular vesicles (EVs) and specific lectins, Jacalin and Agaricus bisporus agglutinin (ABA), shows promise for early pancreatic ductal adenocarcinoma (PDAC) detection, outperforming current markers.

Keywords:
biomarkersextracellular vesiclesglycanlectinpancreatic ductal adenocarcinoma

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Area of Science:

  • Biomarkers
  • Cancer Diagnostics
  • Glycomics

Background:

  • Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis due to diagnostic challenges.
  • Early detection requires sensitive and reliable blood markers.
  • A novel extracellular vesicle (EV)-counting system enhances biomarker detection.

Purpose of the Study:

  • To identify an optimal lectin combination for detecting PDAC-specific glycan alterations on serum EVs.
  • To develop a highly sensitive diagnostic system for early PDAC detection.

Main Methods:

  • A multiplex lectin assay was employed to analyze glycan signatures on serum EVs from PDAC patients.
  • Machine learning (support vector machine) was used to select the optimal lectin combination.
  • The EV-counting system quantified specific EVs for diagnostic analysis.

Main Results:

  • An optimal lectin combination of Jacalin and Agaricus bisporus agglutinin (ABA) was identified for PDAC detection.
  • The Jacalin/ABA lectin-based system demonstrated superior diagnostic performance (AUC = 0.890, 0.971) compared to CA19.9 (AUC = 0.752).
  • The system achieved significant diagnostic accuracy (AUC = 0.870) even in early-stage (Stage I) PDAC.

Conclusions:

  • A serum EV-based diagnostic system utilizing Jacalin and ABA glycan recognition shows high potential for early PDAC detection.
  • This glycan-based approach offers a promising strategy to improve PDAC diagnosis and patient outcomes.
  • Further validation of this novel diagnostic system is warranted.