Evidence map›Paper›PMID 41806322›Full record

ArticleJournal of extracellular vesicles2026

Engineered CAR-T-Derived Exosomes Co-Delivering miR-145 and Cytotoxic Proteins for Targeted Solid Tumour Therapy.

Ruyue Yang, Haitao Wang, Guidan Wang, Gankun Yuan, Zhaoyi Wei, Junling An, Dong Hu, Wenjing Wen, Shegan Gao, Yuan Wan and 1 more

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

11 authors.

Ruyue YangHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Haitao WangCollege of Environmental Science and Engineering, Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0003-0097-0296
Guidan WangHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Gankun YuanInstitute of Organoids on Chips and Drug Translational Research, Henan Academy of Sciences, Zhengzhou, China.
Zhaoyi WeiHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Junling AnHenan International Joint Laboratory of Small Nucleic Acid and Tumor Precision Theranostics, School of Basic Medicine and Forensic Medicine, Henan University of Science & Technology, Luoyang, China.
Dong HuHenan International Joint Laboratory of Small Nucleic Acid and Tumor Precision Theranostics, School of Basic Medicine and Forensic Medicine, Henan University of Science & Technology, Luoyang, China.
Wenjing WenHenan International Joint Laboratory of Small Nucleic Acid and Tumor Precision Theranostics, School of Basic Medicine and Forensic Medicine, Henan University of Science & Technology, Luoyang, China.
Shegan GaoHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.
Yuan WanThe Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University, Binghamton, New York, USA.
Gaofeng LiangHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, China.

Funding

Joint Fund of Henan Province Science and Technology R&D Program 225200810020Key R&D project of Henan Province 221111310600National Key Research and Development Program of China 2022YFE0132800
6 · The paper itself

Abstract

Chimeric antigen receptor T cell (CAR-T) therapy has demonstrated remarkable efficacy in haematologic malignancies but remains constrained in solid tumours due to limited tumour penetration, immunosuppressive microenvironments and the risk of cytokine release syndrome (CRS). Here, we develop a bioactive, cell-free therapeutic platform by engineering exosomes derived from B7-H3-targeted CAR-T cells and loading them with miR-145 (Name this exosome as exo-CT-145). The exosomes retain CAR-specific surface markers and cytotoxic payloads (perforin and granzyme), MiR-145 is expressed at low levels in various tumours and can inhibit the occurrence and development of tumours through multiple pathways. Exo-CT-145 significantly inhibited proliferation, migration, and Epithelial Mesenchymal Transition (EMT) of oesophageal squamous cell carcinoma (ESCC) cells and induced apoptosis in vitro. In vivo, exo-CT-145 demonstrated tumour-targeted accumulation, caspase-3 activation, EMT reversal, angiogenesis suppression and remodeling the tumor microenviroment while no detectable CRS or systemic toxicity. This study proposes a synergistic nanotherapeutic paradigm integrating antigen-specific killing and gene regulatory modulation, offering a promising direction for solid tumour treatment with improved safety and efficacy.

Indexed as

Esophageal NeoplasmsExosomesImmunotherapy, AdoptiveMicroRNAsReceptors, Chimeric AntigenAnimalsApoptosisCell Line, TumorCell ProliferationEpithelial-Mesenchymal TransitionHumansMiceMicroRNAsMIRN145 microRNA, humanReceptors, Chimeric Antigenangiopoiesischimeric antigen receptor T cellepithelial mesenchymal transitionexosomesmicroRNA‐145oesophageal squamous cell carcinoma

Identifiers

PMID41806322
PMCPMC12974908

What OpenQuestion holds

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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.