Fe/Mo‐Based Lipid Peroxidation Nanoamplifier Combined with Adenosine Immunometabolism Regulation to Augment Anti‐Breast Cancer Immunity
Abstract
Abstract Immunogenic cell death (ICD)‐mediated immunization strategies have great potential against breast cancer. However, traditional strategies neglect the increase in the immunosuppressive metabolite, adenosine (ADO), during ICD, leading to insufficient therapeutic outcomes. In this study, it is found that the adenosine A2A receptor (A2AR) is significantly expressed in breast cancer and positively associated with regulatory T (Treg) cells. Herein, a strategy combining Fe/Mo‐based lipid peroxidation (LPO) nanoamplifiers and A2AR blockade is reported to maximize ICD‐mediated anti‐tumor immunity. This LPO nanoamplifier causes LPO explosion by the Fe (II)‐mediated Fenton reaction and Mo(V)‐mediated Russell mechanism. Subsequently, it elicits the ICD magnification of tumor cells by inducing multiple regulated cell death patterns of ferroptosis, apoptosis, and necroptosis. Additionally, the A2AR antagonist (SCH58261), an immunometabolic checkpoint blocker, is found to relieve ADO‐related immunosuppression, amplify anti‐tumor immunological effects, and elicit immune memory responses. This robust anti‐tumor immunity is observed in primary, distant, pulmonary metastatic, and recurrent tumors. This study provides a novel strategy for optimizing ICD‐mediated immunotherapy and highlights the benefits of combining LPO explosion with A2AR blockade to enhance breast cancer immunotherapy.
Article Details
Authors (12)
Qinyanqiu Xiang
Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University) Department of Radiology Zhongda Hospital Medical School, Southeast University 87 DingJiaQiao Road Nanjing 210009 P. R. China
Xue Yang
Zhiqi Zhang
CAS Key Lab of Bio-Medical Diagnostics
Jie Yang
Yingbo Li
Department of Chemistry, Guangdong Provincial Key Laboratory of Catalysis
Jiawei Du
Jue Wang
Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering
Kai Fan
Department of Radiology, Nurturing Center of Jiangsu Province for State Laboratory of Artificial Intelligence Imaging and Interventional Radiology, Zhongda Hospital, Medical School, Southeast University
Jiaxin Yuan
State Key Laboratory of Power Grid Environmental Protection
Jianqiong Zhang
Department of Microbiology and Immunology, Medical School, Southeast University
Jinbing Xie
Department of Microbiology and Immunology, Medical School, Southeast University
Shenghong Ju
Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine