Fe/Mo‐Based Lipid Peroxidation Nanoamplifier Combined with Adenosine Immunometabolism Regulation to Augment Anti‐Breast Cancer Immunity

Q 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) X Xue Yang Z Zhiqi Zhang (CAS Key Lab of Bio-Medical Diagnostics) J Jie Yang Y Yingbo Li (Department of Chemistry, Guangdong Provincial Key Laboratory of Catalysis) J Jiawei Du J Jue Wang (Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering) K 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) J Jiaxin Yuan (State Key Laboratory of Power Grid Environmental Protection) J Jianqiong Zhang (Department of Microbiology and Immunology, Medical School, Southeast University) J Jinbing Xie (Department of Microbiology and Immunology, Medical School, Southeast University) S Shenghong Ju (Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine)

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

Volume / Issue Vol. 37, Issue 8
Published February 01, 2025
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (12)

Q

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

X

Xue Yang

Z

Zhiqi Zhang

CAS Key Lab of Bio-Medical Diagnostics

J

Jie Yang

Y

Yingbo Li

Department of Chemistry, Guangdong Provincial Key Laboratory of Catalysis

J

Jiawei Du

J

Jue Wang

Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering

K

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

J

Jiaxin Yuan

State Key Laboratory of Power Grid Environmental Protection

J

Jianqiong Zhang

Department of Microbiology and Immunology, Medical School, Southeast University

J

Jinbing Xie

Department of Microbiology and Immunology, Medical School, Southeast University

S

Shenghong Ju

Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine