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Artificial Enzyme Catalyzed Cascade Reactions: Antitumor Immunotherapy Reinforced by NIR‐II Light

Wen, Mei, Ouyang, Jiang, Wei, Chuanwan, Li, Hui, Chen, Wansong, Liu, You‐Nian·2019·Angewandte Chemie International Edition

Abstract

Current cancer therapy is seriously challenged by tumor metastasis and recurrence. One promising solution to these problems is to build antitumor immunity. However, immunotherapeutic efficacy is highly impeded by the immunosuppressive state of the tumors. Here a new strategy is presented, catalytic immunotherapy based on artificial enzymes. Cu 2−xTe nanoparticles exhibit tunable enzyme‐mimicking activity (including glutathione oxidase and peroxidase) under near‐infrared‐II (NIR‐II) light. The cascade reactions catalyzed by the Cu 2−xTe artificial enzyme gradually elevates intratumor oxidative stress to induce immunogenic cell death. Meanwhile, the continuously generated oxidative stress by the Cu 2−xTe artificial enzyme reverses the immunosuppressive tumor microenvironment, and boosts antitumor immune responses to eradicate both primary and distant metastatic tumors. Moreover, immunological memory effect is successfully acquired after treatment with the Cu 2−xTe artificial enzyme to suppress tumor relapse.

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Metadata

Authors
Wen, M., Ouyang, J., Wei, C., Li, H., Chen, W., & Liu, Y.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2019-10-22
Volume
58
Issue
48
Pages
17425-17432
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2974980488
Cited by
269
References
2
FWCI
13.02
Type
journal article
Language
en
Open access
closed
Funders
National Natural Science Foundation of China (21636010, 21807117)

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CoChat. (2026). Citation check: Artificial Enzyme Catalyzed Cascade Reactions: Antitumor Immunotherapy Reinforced by NIR‐II Light. https://app.cochat.ai/papers/10.1002/anie.201909729
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Wen, M., Ouyang, J., Wei, C., Li, H., Chen, W., & Liu, Y. (2019). Artificial Enzyme Catalyzed Cascade Reactions: Antitumor Immunotherapy Reinforced by NIR‐II Light. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201909729

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