Biomimetic Aggregation-Induced Emission Luminogens Mediated Effective Phototherapy and Immune Checkpoint Blockade for the Synergistic Treatment of Lung Cancer

仿生聚集诱导发光体介导的有效光疗和免疫检查点阻断协同治疗肺癌

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Abstract

BACKGROUND: Lung cancer has become one of the most fatal cancers at present. Traditional treatments showed limited therapeutic effects on lung cancer. The phototherapy has emerged as a powerful approach for lung cancer treatment. Aggregation-induced emission luminogens (AIEgens) exhibit excellent optical performance such as strong fluorescence, enhanced reactive oxygen species (ROS) generation, and effective thermal effect after aggregation, which show great potential in phototherapy. However, the disadvantages including hydrophobicity, low specificity, and short circulation lifetime limited their efficacy on cancer therapy. METHODS: We developed a biomimetic AIEgens constructed using CD8(+) T cells membrane to camouflage the AIEgen C(41)H(37)N(2)O(3)S(2) (named BITT) nanoparticles (termed TB). The prepared TB improved the tumor accumulation of AIEgen by PD-1/PD-L1 recognition on the CD8(+) T and LLC cell membranes, respectively. RESULTS: The prepared TB showed improved binding efficiency, photothermal effects, and ROS generation ability to kill the lung cancer cells. TB also showed improved circulation lifetime and excellent tumor targeting ability, leading to effective phototherapy and immunotherapy in vivo based on BITT and the CD8(+) T cell-derived membranes. Based on the AIE and immune checkpoint blockade (ICB) strategies, TB enhanced the antitumor activities of lung cancer by phototherapy and immunotherapy. CONCLUSION: The present work developed a type of biomimetic AIEgens, which overcame the inherent limitations of conventional AIEgens and leveraged immune recognition for targeted tumor accumulation. Furthermore, the integration of AIE-driven phototherapy with immune checkpoint blockade demonstrated potent synergistic antitumor efficacy, establishing a promising combinatorial strategy against aggressive lung malignancies.

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