A Self‐Amplifying ROS‐Responsive Nanoplatform for Simultaneous Cuproptosis and Cancer Immunotherapy

Author:

Wu Hangyi1,Zhang Zhenhai2,Cao Yanni1,Hu Yuhan1,Li Yi3,Zhang Lanyi1,Cao Xinyi1,Wen Haitong1,Zhang Youwen3,Lv Huixia1ORCID,Jin Xin3

Affiliation:

1. Department of Pharmaceutics China Pharmaceutical University Nanjing 211198 China

2. Jiangsu Province Academy of Traditional Chinese Medicine Nanjing 210023 China

3. Department of Pharmaceutics The Affiliated Suqian First People's Hospital of Nanjing Medical University Suqian Jiangsu 223800 China

Abstract

AbstractCuproptosis is an emerging cell death pathway that depends on the intracellular Cu ions. Elesclomol (ES) as an efficient Cu ionophore can specifically transport Cu into mitochondria and trigger cuproptosis. However, ES can be rapidly removed and metabolized during intravenous administration, leading to a short half‐life and limited tumor accumulation, which hampers its clinical application. Here, the study develops a reactive oxygen species (ROS)‐responsive polymer (PCP) based on cinnamaldehyde (CA) and polyethylene glycol (PEG) to encapsulate ES‐Cu compound (EC), forming ECPCP. ECPCP significantly prolongs the systemic circulation of EC and enhances its tumor accumulation. After cellular internalization, the PCP coating stimulatingly dissociates exposing to the high‐level ROS, and releases ES and Cu, thereby triggering cell death via cuproptosis. Meanwhile, Cu2+‐stimulated Fenton‐like reaction together with CA‐stimulated ROS production simultaneously breaks the redox homeostasis, which compensates for the insufficient oxidative stress treated with ES alone, in turn inducing immunogenic cell death of tumor cells, achieving simultaneous cuproptosis and immunotherapy. Furthermore, the excessive ROS accelerates the stimuli‐dissociation of ECPCP, forming a positive feedback therapy loop against tumor self‐alleviation. Therefore, ECPCP as a nanoplatform for cuproptosis and immunotherapy improves the dual antitumor mechanism of ES and provides a potential optimization for ES clinical application.

Funder

Six Talent Peaks Project in Jiangsu Province

Program for Jiangsu Provincial Excellent Scientific and Technological Innovation Team

National Science and Technology Major Project

National Natural Science Foundation of China

Publisher

Wiley

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