Evidence map›Paper›PMID 41437080›Full record

ReviewJournal of translational medicine2025

Insights into extracellular vesicle-based platforms on the way to cancer treatment.

Elnaz Bagheri, Elahehsadat Aminyazdi, Mohammad Ramezani, Marzieh Mohammadi, Khalil Abnous, Seyed Mohammad Taghdisi, Mona Alibolandi

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Elnaz BagheriPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Elahehsadat AminyazdiPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad RamezaniPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Marzieh MohammadiTargeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Khalil AbnousPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mohammad TaghdisiTargeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
Mona AlibolandiPharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran. alibolandim@mums.ac.ir.ORCID 0000-0001-6080-7015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomes are nanoscale extracellular vesicles (EVs) (≈30–150 nm) defined by a lipid bilayer that encloses an aqueous interior. This amphiphilic architecture permits the simultaneous encapsulation of hydrophobic, hydrophilic, and amphipathic compounds. Their endogenous biogenesis results in high biocompatibility, negligible immunogenicity, and the capacity to evade rapid clearance while crossing biological barriers. Additionally, the Surface antigens retained from the cell of origin provide exosomes with innate specificity, enabling efficient uptake by specific cell subpopulations. Studies have successfully engineered exosomes to transport inorganic nanoparticles, chemotherapeutic drugs, nucleic acids, and contrast agents, resulting in enhanced therapeutic efficacy and diagnostic sensitivity. Hybrid exosome systems, which integrate exosomes with supplementary carriers such as polymers, lipids, and nanoparticles, have been developed to further enhance their efficacy and expand the translational potential of exosome-based nanomedicine.

methodsA comprehensive literature search was conducted across PubMed, Scopus, and Google Scholar to identify relevant studies focusing on the therapeutic and diagnostic applications of exosomes in cancer, including engineered and hybrid exosome systems. It was extended to include the most recent publications up to and including those released in 2025. Full texts were reviewed to extract key information regarding study design, exosome source and modification, cargo type, delivery mechanism, and reported outcomes.

resultsResearch has shown that exosomes can efficiently deliver therapeutic agents, greatly improving the effectiveness of targeted cancer treatments and the accuracy of diagnostics. Particularly, hybridized exosome-based systems have exceeded traditional techniques. Despite the limitations, such as the high expense and difficulty of accurate characterization, exosome-based systems have successfully penetrated various domains, including medication and gene delivery, diagnostics, and the development of hybrid carriers.

conclusionExosomes represent a flexible and promising platform for cancer diagnostics and treatment. Recent developments, particularly of hybrid exosome systems, have further boosted their therapeutic versatility and addressed some of the most significant drawbacks of native exosome technologies. Nevertheless, several challenges remain to be overcome, including the costly nature of purification, standardization of characterization methods, and safety issues and potential side effects. Overcoming these obstacles will ensure the clinical translation of exosome-based therapy.

Indexed as

Extracellular VesiclesNeoplasmsAnimalsExosomesHumansCancer diagnosisCancer therapyExosome loadingExosome purificationExosomesHybrid exosome

Identifiers

PMID41437080
PMCPMC12837121

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.