Evidence map›Paper›PMID 41193833›Full record

SynthesisJournal of molecular medicine (Berlin, Germany)2025

The diagnostic and prognostic potential of extracellular vesicles as biomarkers for thyroid cancer: a systematic review.

Nada Mabrouk Ahmed, Kevin Beatson, Jigisha Patel, Mohammad Mahmoud Rajab Eddama, Lucie H Clapp, Tarek Abdel-Aziz

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of molecular medicine (Berlin, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Nada Mabrouk AhmedInstitute of Cardiovascular Sciences, University College London, London, UK. nada.ahmed.19@ucl.ac.uk.ORCID 0000-0002-2849-9961
Kevin BeatsonDepartment of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.ORCID 0000-0001-5824-5009
Jigisha PatelDepartment of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.ORCID 0000-0001-6877-0130
Mohammad Mahmoud Rajab EddamaDepartment of Surgical Biotechnology, Division of Surgery and Interventional Science, University College London, London, UK.ORCID 0000-0002-4582-0788
Lucie H ClappInstitute of Cardiovascular Sciences, University College London, London, UK.ORCID 0000-0001-7802-4481
Tarek Abdel-AzizEndocrine Surgery Unit, University College London Hospitals, London, UK.ORCID 0000-0001-7630-9985

Funding

Egyptian Cultural and Educational Bureau MM42/19
6 · The paper itself

Abstract

The incidence of thyroid cancer, the most common endocrine malignancy, has increased by 313% in the past four decades and is now the seventh most common cancer worldwide. There is an urgent need for non-invasive diagnostic, prognostic, and surveillance biomarkers to improve patient outcomes. Given the promising role of extracellular vesicles (EVs) as liquid biopsy biomarkers, a systematic review of the literature was conducted to evaluate their diagnostic and prognostic utility in thyroid cancer. We also assessed the quality of included studies giving special emphasis to methodology, reporting standards, and adherence to MISEV2018 guidelines. A comprehensive search was conducted across Web of Science, Ovid Medline, Ovid Embase, Scopus, and Emcare for English-language studies published from inception to March 2025. Search terms included a combination of relevant keywords and subject Headings. A total of 40 studies met the inclusion criteria. Most focused on papillary thyroid carcinoma, with relatively a minority investigating follicular thyroid carcinoma. The majority examined small EVs (exosomes), with microRNAs (miRNAs) being the most studied EV biomarkers, followed by proteins, circular RNAs, long non-coding RNAs, mRNAs, DNA, procoagulant phospholipids, and biophysical characteristics. No studies investigated EV lipids or metabolites as potential thyroid cancer biomarkers. This systematic review highlights the strong potential of EVs as diagnostic and prognostic biomarkers in thyroid cancer. However, larger prospective patient cohorts are needed to validate current findings. Clinical translation will require standardised methodologies and robust comprehensive reporting aligned with MISEV2018 guidelines, enhancing reproducibility and paving the way for multicentre clinical trials.

Indexed as

Biomarkers, TumorExtracellular VesiclesThyroid NeoplasmsHumansLiquid BiopsyPrognosisBiomarkers, TumorBiomarkersDiagnosisExosomesExtracellular vesiclesMiRNAThyroid cancer

Identifiers

PMID41193833
PMCPMC12675753

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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.