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Updated: Sep 7, 2025

In Vivo Immunogenicity Screening of Tumor-Derived Extracellular Vesicles by Flow Cytometry of Splenic T Cells
Published on: September 23, 2021
Extracellular vesicle-based macromolecule delivery systems in cancer immunotherapy
Hongyi Chen1, Tao Sun1, Chen Jiang1
1Key Laboratory of Smart Drug Delivery, Ministry of Education, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Department of Pharmaceutics, School of Pharmacy, Fudan University, Shanghai, China.
Extracellular vesicles (EVs) offer a promising natural alternative for delivering macromolecules in cancer immunotherapy, overcoming limitations of synthetic carriers for enhanced treatment efficacy.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Research
Background:
- Macromolecules show promise in cancer immunotherapy but face challenges like poor stability and cellular uptake.
- Traditional synthetic carriers for macromolecule delivery have limitations including off-target effects.
Purpose of the Study:
- To review the unique features of extracellular vesicles (EVs) for macromolecule delivery.
- To discuss strategies and recent advances in using EVs for cancer immunotherapy.
Main Methods:
- Literature review focusing on extracellular vesicles (EVs) as delivery vehicles.
- Analysis of EV characteristics relevant to macromolecule transport.
- Synthesis of recent findings on EV-mediated cancer immunotherapy.
Main Results:
- Extracellular vesicles (EVs) provide stable, efficient, and selective delivery of macromolecules.
- EVs enhance the efficacy and potential of macromolecular drugs in cancer immunotherapy.
- Naturally derived EVs overcome limitations associated with synthetic delivery systems.
Conclusions:
- Extracellular vesicles (EVs) represent a significant advancement in drug delivery for cancer immunotherapy.
- EVs offer a viable and effective alternative to synthetic carriers for macromolecule delivery.
- Further research into EV-based strategies can optimize cancer treatment outcomes.
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