Evidence map›Paper›PMID 41180592›Full record

ReviewBiomarker insights2025

Extracellular Vesicle-Derived miRNAs as Diagnostic Biomarkers for Pancreatic Ductal Adenocarcinoma: A Systematic Review of Methodological Rigour and Clinical Applicability.

Ryhan Divyang Patel, Bhavik Patel, Tatjana Crnogorac-Jurcevic

Registry-linked trialAbstract readReview
In one paragraph

Review in Biomarker insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07255729 (Machine Learning-Based Exosomal microRNA Signature for Preoperative Staging and Chemotherapy Eligibility in Colon Cancer), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07255729 recruitingnot on this map

Machine Learning-Based Exosomal microRNA Signature for Preoperative Staging and Chemotherapy Eligibility in Colon Cancer

TypeobservationalSponsorCity of Hope Medical CenterRan2025 to 2028Enrolled400ConditionsColon CancerArmsDiagnostic Test: EXPOSE assay(Small RNA-seq of exosomal miRNAs), Diagnostic Test: EXPOSE RT-qPCR panel
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ryhan Divyang PatelImperial College London School of Medicine, UK.ORCID https://orcid.org/0000-0003-3790-7186
Bhavik PatelUniversity of Surrey, Guildford, UK.
Tatjana Crnogorac-JurcevicQueen Mary University of London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with currently limited early detection options. Extracellular vesicle (EV)-derived microRNAs (miRNAs) have gained interest as non-invasive diagnostic biomarkers due to their stability in circulation and tumour-specific profiles. However, the methodological robustness of existing literature remains unclear. Objectives: To systematically evaluate the diagnostic accuracy and methodological quality of studies investigating EV-derived miRNAs for PDAC detection, with a particular focus on adherence to established EV characterisation guidelines. Design: Systematic review registered with PROSPERO (CRD42024501503) and conducted in accordance with PRISMA 2020 reporting standards. Methods: We searched PubMed, EMBASE, Medline and Cochrane for original human studies published up to February 1, 2025, evaluating EV-derived miRNAs in biofluids from PDAC patients. Eligible studies reported diagnostic accuracy metrics (sensitivity, specificity, Area Under the Curve (AUC)). Methodological quality was assessed using the QUADAS-2 tool, and EV validation was scored against the Minimal Information for Studies of Extracellular Vesicles 2018 (MISEV) 2018 checklist (updated 2023). Results: Fifty-six studies were included. Plasma and serum were the most commonly used biofluids. The most frequently evaluated individual miRNAs were miR-21 (13 studies), miR-10b (9 studies), and miR-451a (7 studies). Although several studies reported high diagnostic performance (AUCs up to 0.99), MISEV adherence was limited: only 23.1% of miR-21 studies demonstrated strong EV validation, and >70% of all studies lacked EV quantification or protein marker analysis. Multi-miRNA panels achieved higher AUCs (often > 0.85) but typically scored poorly on EV characterisation. Only 2 of 56 studies included external validation, and 54 studies lacked blinding, contributing to substantial risk of bias. Conclusion: EV-derived miRNAs are promising PDAC biomarkers, but progress is hindered by inconsistent methods, poor EV validation, and minimal external verification. Translation to clinical use requires robust EV characterisation, standardised workflows, and prospective multi-cohort studies.

Indexed as

diagnostic biomarkersearly cancer detectionextracellular vesiclesliquid biopsymicroRNAsMISEV 2018pancreatic ductal adenocarcinomaQUADAS-2systematic review

Identifiers

PMID41180592
PMCPMC12572613

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.