Emerging Biomaterials Imaging Antitumor Immune Response

被引:28
|
作者
Ma, Xianbin [1 ]
Zhang, Meng-Jie [2 ]
Wang, Jingting [1 ]
Zhang, Tian [1 ]
Xue, Peng [1 ]
Kang, Yuejun [1 ]
Sun, Zhi-Jun [3 ,4 ]
Xu, Zhigang [1 ]
机构
[1] Southwest Univ, Res Ctr Micronano Biomed Mat & Devices, Sch Mat & Energy & Chongqing Engn, Minist Educ,Key Lab Luminescence Anal & Mol Sensi, Chongqing 400715, Peoples R China
[2] Beijing Inst Technol, Inst Engn Med, Beijing 100081, Peoples R China
[3] Wuhan Univ, Sch & Hosp Stomatol, State Key Lab Breeding Base Basic Sci Stomatol Hu, Wuhan 430079, Peoples R China
[4] Wuhan Univ, Sch & Hosp Stomatol, Key Lab Oral Biomed, Minist Educ, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
biomaterials; immunotherapy; molecular imaging; real-time monitoring; tumors; IN-VIVO TRACKING; POSITRON-EMISSION-TOMOGRAPHY; TUMOR-ASSOCIATED MACROPHAGES; REGULATORY T-CELLS; NATURAL-KILLER-CELLS; CANCER-IMMUNOTHERAPY; CHECKPOINT BLOCKADE; SUPPRESSOR-CELLS; PHOTOACOUSTIC TOMOGRAPHY; PREDICTIVE BIOMARKERS;
D O I
10.1002/adma.202204034
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Immunotherapy is one of the most promising clinical modalities for the treatment of malignant tumors and has shown excellent therapeutic outcomes in clinical settings. However, it continues to face several challenges, including long treatment cycles, high costs, immune-related adverse events, and low response rates. Thus, it is critical to predict the response rate to immunotherapy by using imaging technology in the preoperative and intraoperative. Here, the latest advances in nanosystem-based biomaterials used for predicting responses to immunotherapy via the imaging of immune cells and signaling molecules in the immune microenvironment are comprehensively summarized. Several imaging methods, such as fluorescence imaging, magnetic resonance imaging, positron emission tomography imaging, ultrasound imaging, and photoacoustic imaging, used in immune predictive imaging, are discussed to show the potential of nanosystems for distinguishing immunotherapy responders from nonresponders. Nanosystem-based biomaterials aided by various imaging technologies are expected to enable the effective prediction and diagnosis in cases of tumors, inflammation, and other public diseases.
引用
收藏
页数:38
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