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Rg3-lipo biomimetic delivery of paclitaxel enhances targeting of tumors and myeloid-derived suppressor cells
Yuru Shen, … , Feifei Luo, Jie Liu
Yuru Shen, … , Feifei Luo, Jie Liu
Published November 15, 2024
Citation Information: J Clin Invest. 2024;134(22):e178617. https://doi.org/10.1172/JCI178617.
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Research Article Immunology

Rg3-lipo biomimetic delivery of paclitaxel enhances targeting of tumors and myeloid-derived suppressor cells

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Abstract

Liposomal drug delivery systems have revolutionized traditional cytotoxic drugs. However, the relative instability and toxicity of the existing liposomal drug delivery systems compromised their efficacy. Herein, we present Rg3-lipo, an innovative drug delivery system using a glycosyl moiety–enriched ginsenoside (Rg3). This system is distinguished by its glycosyl moieties exposed on the liposomal surface. These moieties imitate human cell membranes to stabilize and evade phagocytic clearance. The Rg3-lipo system loaded with paclitaxel (PTX-Rg3-lipo) demonstrated favorable bioavailability and safety in Sprague-Dawley rats, beagle dogs, and cynomolgus monkeys. With its glycosyl moieties recognizing tumor cells via the glucose transporter Glut1, PTX-Rg3-lipo inhibited gastric, breast, and esophageal cancers in human cancer cell lines, tumor-bearing mice, and patient-derived xenograft models. These glycosyl moieties selectively targeted myeloid-derived suppressor cells (MDSCs) through the glucose transporter Glut3 to attenuate their immunosuppressive effect. The mechanism study revealed that Rg3-lipo suppressed glycolysis and downregulated the transcription factors c-Maf and Mafb overcoming the MDSC-mediated immunosuppressive microenvironment and enhancing PTX-Rg3-lipo’s antitumor effect. Taken together, we supply substantial evidence for its advantageous bioavailability and safety in multiple animal models, including nonhuman primates, and Rg3-lipo’s dual targeting of cancer cells and MDSCs. Further investigation regarding Rg3-lipo’s druggability will be conducted in clinical trials.

Authors

Yuru Shen, Bin Zhong, Wanwei Zheng, Dan Wang, Lin Chen, Huan Song, Xuanxuan Pan, Shaocong Mo, Bryan Jin, Haoshu Cui, Huaxing Zhan, Feifei Luo, Jie Liu

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