Evidence mapPaperPMID 41311647Full record

ReviewFrontiers in cell and developmental biology2025

Advances in the role of extracellular vesicles in circulating microRNA biomarker discovery for lung cancer.

Ayaz Belkozhayev, Minnatallah Al-Yozbaki, Yeldar Ashirbekov, Kantemir Satken, Arman Abaildayev, Askar Yeleussizov, Nurlan Jainakbayev, Kamalidin Sharipov, Cornelia M Wilson

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. PCYT1B-Targeting miRNAs as Potential Biomarkers for Placental Diseases.International journal of molecular sciences · 2026
    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

9 authors.

Ayaz BelkozhayevDepartment of Chemical and Biochemical Engineering, Geology and Oil-Gas Business Institute Named After K. Turyssov, Satbayev University, Almaty, Kazakhstan.
Minnatallah Al-YozbakiDepartment of Cancer and Genomics, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Yeldar AshirbekovStructural and Functional Genomics Laboratory of M.A. Aitkhozhin Institute of Molecular Biology and Biochemistry, Almaty, Kazakhstan.
Kantemir SatkenStructural and Functional Genomics Laboratory of M.A. Aitkhozhin Institute of Molecular Biology and Biochemistry, Almaty, Kazakhstan.
Arman AbaildayevDepartment of Chemical and Biochemical Engineering, Geology and Oil-Gas Business Institute Named After K. Turyssov, Satbayev University, Almaty, Kazakhstan.
Askar YeleussizovKazakh Institute of Oncology and Radiology, Almaty, Kazakhstan.
Nurlan JainakbayevDepartment of Public Health, Kazakh-Russian Medical University, Almaty, Kazakhstan.
Kamalidin SharipovStructural and Functional Genomics Laboratory of M.A. Aitkhozhin Institute of Molecular Biology and Biochemistry, Almaty, Kazakhstan.
Cornelia M WilsonFaculty of Biology and Biotechnology, Al-Farabi Kazakh National University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains a leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis and the limited efficacy of current therapeutic approaches. Recent advancements highlight the potential of extracellular vesicles (EVs), particularly those carrying microRNA (miRNA) molecules, as promising non-invasive biomarkers for early detection, prognosis, and therapy monitoring. EVs are nanoscale vesicles secreted by tumour cells, capable of transporting various bioactive molecules including miRNAs while preserving their structural stability in circulation. These miRNAs mirror the molecular state of the tumour and often exhibit distinct expression signatures depending on cancer subtype and stage. Studies have shown that specific EV-associated miRNAs are significantly dysregulated in lung cancer patients and correlate with tumour progression, metastatic potential, and overall survival. Moreover, tracking dynamic changes in EV-miRNA profiles during treatment may provide predictive insights into responsiveness to immunotherapy and targeted therapy. This review emphasizes the diagnostic and prognostic utility of EV-derived miRNAs, highlighting their tumour specificity and stability in bodily fluids. In addition, we summarise key challenges such as the lack of standardisation, EV heterogeneity, and technical variability, while also outlining future directions including single-EV detection, multi-omics integration, AI-driven diagnostics, and therapeutic applications. By integrating these biomarkers into clinical workflows via liquid biopsy, it may become possible to detect lung cancer earlier and adapt therapeutic strategies more effectively ultimately improving patient outcomes and offering new directions in precision oncology.

Indexed as

biomarkersextracellular vesiclesliquid biopsylung cancerMicroRNAs

Identifiers

PMID41311647
PMCPMC12647087

What Socratic holds

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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 Socratic graph.