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Genetically engineered cellular nanoparticles loaded with curcuminoids for cancer immunotherapy
Yifang Liao1,2, Chenchen Zhao3, Yuanwei Pan3
1Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Theranostics
|October 21, 2024
Summary
This study presents a novel nanovesicle platform that combines immunogenic cell death (ICD) and immune checkpoint blockade (ICB) therapy. This synergistic approach effectively enhances anti-tumor immune responses and inhibits tumor growth in preclinical models.
Area of Science:
- Biotechnology
- Nanomedicine
- Cancer Immunotherapy
Background:
- Inducing immunogenic cell death (ICD) is crucial for boosting immune responses in immune checkpoint blockade (ICB) therapy.
- Current limitations exist in platforms that integrate ICD and ICB therapies for clinical application.
Purpose of the Study:
- To develop a novel platform for synergistic ICD and ICB therapy to enhance cancer immunotherapy.
- To evaluate the efficacy of genetically engineered nanovesicles loaded with curcumin and targeting PD1.
Main Methods:
- Development of programmed cell death protein 1 (PD1)-overexpressing genetically engineered nanovesicles (NVs) coated with curcumin (Cur)-loaded poly (lactic-co-poly-polyglycolic acid) nanoparticles (PD1@Cur-PLGA).
- Evaluation of tumor targeting, PD1/PDL1 pathway blockade, ICD induction, and immune cell infiltration in tumor models.
Main Results:
- Genetically engineered NVs improved tumor targeting and PD1/PDL1 pathway blockade, stimulating anti-tumor immunity.
- Curcumin effectively induced ICD by modulating apoptotic signaling pathways.
- The combined therapy enhanced intratumoral infiltration of dendritic cells and CD8+ T cells, significantly inhibiting tumor growth in mouse models.
Conclusions:
- The developed PD1@Cur-PLGA nanovesicles offer a synergistic approach to ICD and ICB therapy.
- This strategy provides a low-cost, safe, and effective method for enhancing cancer immunotherapy.
- The platform shows promise for improving treatment outcomes in breast and prostate cancer models.
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