Evidence map›Paper›PMID 41677598›Full record

SynthesisCells2026

Extracellular Vesicle Associated Proteomic Biomarkers in Breast Cancer: A Systematic Review and Meta-Analysis.

Nahad Al-Mahrouqi, Hasan Al-Sayegh, Shoaib Al-Zadjali, Aafaque Ahmad Khan

Abstract readSystematic ReviewMeta-AnalysisReview
In one paragraph

Synthesis in Cells, 2026. 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. Review
  2. 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

4 authors.

Nahad Al-MahrouqiResearch Laboratories, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Al Khoud, Muscat 123, Oman.
Hasan Al-SayeghResearch Laboratories, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Al Khoud, Muscat 123, Oman.
Shoaib Al-ZadjaliResearch Laboratories, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Al Khoud, Muscat 123, Oman.ORCID 0000-0002-8155-2063
Aafaque Ahmad KhanResearch Laboratories, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Al Khoud, Muscat 123, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer continues to be the most frequently diagnosed cancer among women worldwide and remains a leading cause of cancer-related mortality. Despite advances in imaging and biopsy-based approaches, current diagnostic methods are invasive, costly, and often insufficient to capture the molecular heterogeneity of tumors. Extracellular vesicles (EVs) have emerged as promising non-invasive biomarkers owing to their role in intercellular communication and their enrichment with tumor-specific cargo. This study conducted a systematic review and meta-analysis of published literature to investigate proteomic alterations in EVs derived from breast cancer samples. From an initial 1097 records screened, four eligible studies were identified, reporting 628 differentially expressed proteins, of which 38 were consistently observed across multiple datasets. Functional enrichment analyses revealed predominant localization of these proteins to vesicle-associated compartments and significant involvement in biological processes related to cell growth, immune regulation, and tumor progression. Pathway analysis further highlighted integrin-mediated interactions, platelet activation, and hemostasis pathways as key molecular mechanisms represented within breast cancer EVs. Overall, the findings reveal a distinct EV proteomic signature in breast cancer that could support early detection and patient monitoring through minimally invasive testing. Future large-scale and standardized studies are needed to validate these candidate proteins and advance EV proteomics toward clinical application in breast cancer management.

Indexed as

Biomarkers, TumorBreast NeoplasmsExtracellular VesiclesProteomicsFemaleHumansProteomeBiomarkers, TumorProteomebreast cancerextracellular vesiclespathway enrichmentprotein biomarkersproteomicstumor progression

Identifiers

PMID41677598
PMCPMC12896969

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.