4.8 Article

Gemini nanoparticles-based quadruple therapy (GNQT) achieved effective tumor immunotherapy by comprehensive regulation of tumor microenvironment

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NANO TODAY
卷 51, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.nantod.2023.101915

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Cancer immunotherapy; Gene therapy; Tumor microenvironment; Gemini nanoparticles; Immune memory

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Although immune checkpoint blockade (ICB) therapy has greatly advanced cancer immunotherapy, the therapeutic outcome is still limited due to the complex immunosuppressive microenvironment of tumor tissue. Developing a more comprehensive and effective tumor microenvironment regulation strategy is necessary to improve the antitumor effect of immunotherapy.
Even though immune checkpoint blockade (ICB) therapy has advanced cancer immunotherapy greatly due to its quick development, and scientists have also tried a variety of combination therapies to further amplify the therapeutic impact, the therapeutic outcome is still limited because of the complex immunosuppressive microenvironment of tumor tissue. To improve the antitumor effect of immunotherapy, developing more comprehensive and effective tumor microenvironment regulation strategy is necessary. In this work, we prepared Gemini NPs composed of drug-loaded nanoparticles DI NPs (Doxorubicin and Ibrutinib were si-multaneously encapsulated by PLG-g-mPEG) and gene-loaded nanoparticles PPD NPs (pSpam1 and pshPD-L1 were simultaneously encapsulated by PEI1.8k-RT), and proposed a Gemini nanoparticles-based quad-ruple therapy (GNQT). Compared with triple therapy and four-drug combination therapy, GNQT demon-strated comprehensive modulation of the tumor microenvironment and had exceptional anticancer ability in melanoma model without obvious toxicity. In addition, by establishing a persistent immunological memory effect, GNQT could also successfully prevent tumor lung metastasis in mice. The GNQT proposed here provided new insights into tumor immunotherapy and had important implications for the research of preclinical antitumor immunotherapy.& COPY; 2023 Elsevier Ltd. All rights reserved.

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