Improved Predictability of Diagnosis and Prognosis Using Serum- and Tissue-Derived Extracellular Vesicles From Bulk mRNA Sequencing in Pancreatic Ductal Adenocarcinoma

Quick Facts

  • Publication title: Improved Predictability of Diagnosis and Prognosis Using Serum- and Tissue-Derived Extracellular Vesicles From Bulk mRNA Sequencing in Pancreatic Ductal Adenocarcinoma
  • Journal: Cancer Med
  • Year: 2025
  • DOI: 10.1002/cam4.70538
  • PMID/PMCID: 39812156; PMC11733676

Research overview

This study aimed to evaluate the feasibility of using exosomal miRNAs from PDAC tissues and serum as biomarkers for early detection and prognosis. MiR142-3p and miR148a-3p, alongside CA199, show promise as non-invasive biomarkers for early detection and prognosis of PDAC, improving diagnostic accuracy.

Key findings

716) in ROC curve analysis.

Gene Ontology (GO) annotations revealed that the two-miRNA panel was associated with multiple oncogenic pathways.

Study design

Exosomes were isolated from healthy individuals and PDAC patients via tissue and serum samples, then identified by analyzing their particle size and protein content.

PDAC-specific exosomal miRNAs were identified using a microRNA array.

A large cohort was subsequently recruited to validate these findings.

Echo Biotech Role

Echo Biotech contributed EV isolation and purification, EV characterization, miRNA profiling/sequencing and bioinformatic analysis; the study also used or cited Exosupur®.

Related platforms: Exoomics®, Research Reagents & Tools

Related services and capabilities: Biofluid EV Isolation & Purification, Tissue EV Isolation & Purification, EV Basic Characterization (TEM/NTA/WB), EV miRNA Profiling / Sequencing, Research Reagent / Product Supply

Related products or reagents: Exosupur® EV Isolation/Purification Kit

References

Original publication: Improved Predictability of Diagnosis and Prognosis Using Serum- and Tissue-Derived Extracellular Vesicles From Bulk mRNA Sequencing in Pancreatic Ductal Adenocarcinoma Cancer medicine. 2025. DOI: 10.1002/cam4.70538. PMID/PMCID: 39812156; PMC11733676.