Evidence map›Paper›PMID 41551981›Full record

ReviewInternational journal of pharmaceutics: X2026

Engineering exosomes for cancer therapy - Modification technologies and subcellular targeting strategies: A review.

Fengbo Liu, Chengxing Xia, Hang Yu, Xiaofang Yang, Liping Ge, Chunwei Ye

Abstract readReview
In one paragraph

Review in International journal of pharmaceutics: X, 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. Article
  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

6 authors.

Fengbo LiuDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Chengxing XiaDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Hang YuDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Xiaofang YangDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Liping GeDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Chunwei YeDepartment of Urology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are secreted lipid bilayer vesicles of 30-150 nm in diameter. Their low immunogenicity, excellent biocompatibility, and inherent targeting capability make them a promising drug delivery vehicle for cancer therapeutics. However, the use of natural exosomes is still challenging for therapeutic applications, including limited targeting precision and drug-loading efficiency, necessitating engineered modification strategies to optimize their performance. To further enhance exosome targeting capacity, recent studies have explored precision delivery strategies targeting subcellular structures such as lysosomes, nuclei, mitochondria, and the endoplasmic reticulum, thereby improving exosome therapeutic potential. This review systematically summarizes the core advantages of exosomes as drug carriers, elaborates on their engineering modification methods, and highlights recent advances in strategies to improve exosomes targeting of subcellular structures to enhance antitumor efficacy. The review aims to provide a theoretical foundation and technical guidance for developing exosome-based precision therapies for cancer.

Indexed as

CancerExosomeModificationSubcellular targetingTherapy

Identifiers

PMID41551981
PMCPMC12810332

What Socratic holds

Textmetadata
LicenceCC BY
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.