Evidence map›Paper›PMID 40848187›Full record

SynthesisMolecular diagnosis & therapy2025

Diagnostic Potential of Cross-Specimen microRNA Panels as Biomarkers for Colorectal Cancer: A Systematic Review and Meta-analysis.

Atta Ullah Khan, Maria Ali, Muhammad Aamir Wahab

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Molecular diagnosis & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Atta Ullah KhanDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Piazza Luigi Miraglia, 80138, Naples, Italy. attaullah.khan@unicampania.it.ORCID 0009-0006-6016-9221
Maria Ali *Department of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Muhammad Aamir Wahab *Department of Precision Medicine, University of Campania "Luigi Vanvitelli", Piazza Luigi Miraglia, 80138, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveColorectal cancer remains a major global health challenge, necessitating the development of accurate non-invasive diagnostic tools. Circulating and excretory microRNAs (miRNAs) are promising biomarkers owing to their stability and regulatory roles in tumorigenic pathways. While single miRNA assays often lack sufficient diagnostic accuracy, panels combining multiple miRNAs have shown enhanced performance. This systematic review and meta-analysis evaluated the diagnostic accuracy of multi-miRNA panels and explored their mechanistic relevance to colorectal cancer pathogenesis.

methodsA comprehensive search of PubMed, Embase, Web of Science, and Scopus was conducted through March 2025 following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The study protocol was registered with PROSPERO (CRD420251060655). Eligible studies assessed the diagnostic accuracy of multi-miRNA panels for colorectal cancer using extractable data on sensitivity, specificity, and area under the curve. Data were extracted independently by two reviewers. A bivariate random-effects model was used to calculate pooled diagnostic estimates. Study quality was assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool, and heterogeneity was evaluated using I

resultsTwenty-nine studies comprising 5497 participants (3070 colorectal cancer cases and 2427 controls) and 35 multi-miRNA panels were included. Pooled sensitivity was 0.85 (95% confidence interval 0.80-0.88), specificity was 0.84 (95% confidence interval 0.80-0.88), and the area under the curve was 0.90, despite substantial heterogeneity (I

conclusionsMulti-miRNA panels derived from diverse biospecimen sources demonstrate high diagnostic accuracy for colorectal cancer and are mechanistically linked to fundamental oncogenic pathways. Future efforts should focus on panel standardization, biospecimen-specific validation, and integration into clinical workflows to advance precision oncology.

Indexed as

Biomarkers, TumorColorectal NeoplasmsMicroRNAsGene Expression Regulation, NeoplasticHumansBiomarkers, TumorMicroRNAs

Identifiers

PMID40848187
PMCPMC12578759

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Registered trials

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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.