ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026
Unlocking the potential of extracellular vesicles in cancer diagnosis and therapy: a comprehensive bibliometric study.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Markers and Enrichment Strategies for Brain-Derived Extracellular Vesicles: Current Evidence, Limitations and Future Directions.Neuromolecular medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
purposeOur study endeavors to synthesize the expansive literature on cancer-related extracellular vesicles (EVs), mapping the research landscape and identifying key trends.
methodsBibliometric analysis was conducted on the EVs and cancer-related studies using the bibliometrix R-package, exploring growth patterns, research hotspots, and trends across 647 journals, 2769 institutions, 9919 authors, 4029 keywords, and 82626 references. To identify and explore the mechanical aspects of EV-cancer signatures, the stringr and dplyr packages were used to extract signatures from article titles and keywords. Functional annotation of these signatures was performed using the clusterProfiler package, and the Human Protein Atlas was utilized to confirm the protein activity of EV signatures in cancer.
resultsOur analysis reveals a global, collaborative research effort, with a 5.76% annual growth in publications, yet a decline in average citations post-2013 suggests a need for more impactful research. China, the United States, and Japan emerge as leading contributors, with China showing a notable upward trend. Research hotspots include exosomes, miRNA, biomarkers, and liquid biopsies, with future directions predicted in cancer treatment and diagnostics. EV-cancer signatures are linked to cancer progression and therapy resistance, offering mechanistic insights. Moreover, functional enrichment analysis revealed that several EV-cancer-related signatures were significantly associated with the ferroptosis pathway (p < 0.01), among which PRNP was found to be overexpressed at the protein level in pancreatic carcinoma.
conclusionsThis study provides an overview of cancer-related EV research and identifies key directions for further mechanistic exploration and clinical translation of EVs in precision oncology.
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Identifiers
41419676What OpenQuestion holds
Registered trials
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.