ReviewFrontiers in oncology2025
Current trends in theranostic applications of extracellular vesicles in cancer.
Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Engineered Extracellular Vesicles for Cancer Stem Cell Theranostics: Recent Advances and Future Perspectives.Stem cell reviews and reports · 2026Review
- Transforming Cancer Care with Oncosomes: Insight into Biogenesis, Functional Role, and Therapeutic Potential.Pharmaceutics · 2026Review
- Extracellular vesicle-mediated immunomodulation and targeted delivery: breakthroughs and challenges in rheumatoid arthritis therapy.Frontiers in immunology · 2026Review
- An updated review on the role of extracellular vesicles in immune system modulation in breast cancer with special emphasis on immune checkpoint regulators.Frontiers in immunology · 2026Review
- Extracellular vesicles in cancer: biogenesis, oncogenic mechanisms, biomarker potential, and therapeutic applications.Medical oncology (Northwood, London, England) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Extracellular vesicles (EVs) play an integral role in cancer biology, influencing tumor progression, metastasis, and tumor microenvironment. Due to their distinctive molecular composition, including proteins, nucleic acids, and lipids, EVs present a promising candidate for cancer diagnostics and precision therapeutics. Methods: This review was conducted by looking up recent studies obtained through PubMed, Scopus, and Web of Science databases using targeted keywords such as "Extracellular Vesicles," "Cancer Therapy," "Biomarkers," "Exosomes," "Tumor Microenvironment," and "Precision Medicine." From an initial 4,320 articles identified, 427 were screened after applying publication filters, resulting in the inclusion of 298 articles relevant to EV isolation, characterization, diagnostic sensitivity, specificity, and therapeutic efficacy. Results: Biomarkers derived from EVs derived across various cancers showed high diagnostic performance. For example, four miRNA EVs showing sensitivity and specificity of 98% and 96% respectively was found in breast cancer. EV-RNA and surface antigen analyses for hepatocellular carcinoma with 93.8% sensitivity and 74.5% specificity. Additionally, EV biomarker cancers of the colorectal microRNA miR-23a and miR-301a had 89% sensitivity and >70% specificity. EVs in a therapeutic context were an effective drug delivery system for enhancing precision of chemotherapy and immunotherapy with reduced systemic toxicity. Conclusion: The theranostics of EVs provide great capacity for early cancer diagnosis and personalized treatment based on their high diagnostic sensitivity and specificity. Future standardization protocols are essential to translate EV technologies into clinical oncology.
Indexed as
Identifiers
What Socratic 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 Socratic graph.