Evidence map›Paper›PMID 39911053›Full record

ReviewExpert reviews in molecular medicine2025

Review of microRNA detection workflows from liquid biopsy for disease diagnostics.

Dulguunnaran Naranbat, Emilia Herdes, Nikos Tapinos, Anubhav Tripathi

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Expert reviews in molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

4 authors.

Dulguunnaran NaranbatCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0002-5008-2230
Emilia HerdesCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.ORCID 0009-0009-8848-7362
Nikos TapinosWarren Alpert Medical School, Brown University, Providence, RI, USA.ORCID 0000-0002-3798-5363
Anubhav TripathiCenter for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0002-8915-2320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs have emerged as effective biomarkers in disease diagnostics, particularly cancer, due to their role as regulatory sequences. More recently, microRNAs have been detected in liquid biopsies, which hold immense potential for early disease diagnostics. This review comprehensively analyses distinct liquid biopsy microRNA detection methods validated with clinical samples. Each step in the microRNA detection workflow, including sample collection, RNA isolation, processing, and detection of target microRNAs, has been thoroughly assessed. The review discusses the advantages and limitations of established and novel techniques in microRNA detection workflows, discussing their diagnostic capabilities and potential for future implementation at scale.

Indexed as

Biomarkers, TumorMicroRNAsNeoplasmsHumansLiquid BiopsyWorkflowBiomarkers, TumorMicroRNAsdisease diagnosticsliquid biopsymicroRNAmiRNA

Identifiers

PMID39911053
PMCPMC11879380

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.