期刊
ADVANCED MATERIALS
卷 -, 期 -, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202305287
关键词
cancer immunotherapy; cancer recurrence; supramolecular systems; therapeutic tumor cells; tumor metastasis
A novel photothermal reagent was developed for efficient tumor thermal ablation. Co-loaded with nitric oxide, this reagent anchored to cancer cells through supramolecular assembly, effectively inhibiting distant tumors and lung metastases after only one treatment, while enhancing immune responses.
Cancer recurrence and metastasis are two major challenges in the current clinical therapy. In this work, a novel diketopyrrolopyrrole-based photothermal reagent (DCN) with unique J-aggregation-induced redshift is synthesized to achieve efficient tumor thermal ablation under safe power (0.33 W cm-2). Meanwhile, S-nitroso-N-acetylpenicillamine (SNAP) is co-loaded with near-infrared-absorbing DCN in amphiphilic polymers to realize heat-induced massive release of nitric oxide (NO), which can form oxidant peroxynitrite (ONOO-) to active matrix metalloproteinases (MMPs), thereby degrading the compact tumor extracellular matrix to improve the ablation depth and infiltration of immune cells. Through a facile supramolecular assembly method, the DCN/SNAP nanoparticles are anchored to liquid-nitrogen-frozen cancer cells, achieving enhanced antitumor immune responses and effective inhibition of distant tumors and pulmonary metastases after only one treatment. The safety and effectiveness of this supramolecular cell-conjugation platform are verified by 2D/3D cellular experiments and bilateral tumor model, confirming the thermal-ablation-gas-permeation-antigen-presentation therapeutic mode has promising anticancer prospects. Ice cell & fire nanomedicine supramolecular cell conjugates are reported for combined photothermal/gas therapy/immunotherapy, allowing deep tumor tissue ablation and stimulation of immunity to suppress distant tumor and lung metastasis after only one treatment in vivo.image
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据