Evidence map›Paper›PMID 41721927›Full record

ReviewDiscover oncology2026

Exosomal nanocarriers for targeted drug delivery in cancer therapy.

Fereshteh Atabi, Mahdi Moassesfar, Mobina Bagherian, Mehrdad Hashemi

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Fereshteh AtabiDepartment of Biochemistry and Biophysics, TeMS.C., Islamic Azad University, Tehran, Iran. feratabi@gmail.com.ORCID http://orcid.org/0000-0002-6051-2644
Mahdi MoassesfarDepartment of Biochemistry and Biophysics, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0009-3313-4930
Mobina BagherianDepartment of Laboratory Sciences, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0009-0003-4641-0208
Mehrdad HashemiFarhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital, Faculty of Medicine, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID http://orcid.org/0000-0003-0627-6991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer continues to pose a major global health burden, with conventional therapies often hindered by systemic toxicity, drug resistance, and poor tumor specificity. Exosomes, nanoscale extracellular vesicles (EVs) naturally secreted by cells, have emerged as superior nanocarriers for targeted cancer therapy compared with synthetic carriers such as liposomes or polymeric nanoparticles, due to their intrinsic biocompatibility, low immunogenicity, and ability to cross biological barriers. This review explores the therapeutic potential of exosome-based nanocarriers, highlighting their applications in the delivery of chemotherapeutic agents, RNA therapeutics, and CRISPR/Cas9 systems. EVs have been successfully engineered to encapsulate drugs such as paclitaxel, doxorubicin, and cisplatin, achieving improved targeting efficiency, reduced off-target toxicity, and enhanced therapeutic outcomes across multiple cancer models. Notably, studies indicate that paclitaxel-loaded exosomes have exhibited 50-fold higher cytotoxicity against resistant cells in vitro, and achieved in vivo efficacy comparable to 1000 times the dose of free drug. Moreover, EVs have demonstrated remarkable capabilities in delivering functional RNAs (miRNAs, lncRNAs, siRNAs) and genome-editing tools, allowing for gene silencing or correction in tumor environments. Despite these advances, challenges remain regarding their isolation, heterogeneity, scalability, and stability. Addressing these limitations is crucial for clinical translation. Future directions include the development of multifunctional and hybrid EVs with enhanced drug loading and targeting capacities, and integrating exosome-based platforms into personalized and combinatorial cancer treatment regimens.

Indexed as

CombinationDrug delivery systemsDrug therapyExosomesExtracellular vesiclesNanocarriersNeoplasms

Identifiers

PMID41721927
PMCPMC13031615

What OpenQuestion 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 OpenQuestion graph.