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Cheng Z, Ma J, Yin L, Yu L, Yuan Z, Zhang B, Tian J, Du Y. Non-invasive molecular imaging for precision diagnosis of metastatic lymph nodes: opportunities from preclinical to clinical applications. Eur J Nucl Med Mol Imaging 2023; 50:1111-1133. [PMID: 36443568 DOI: 10.1007/s00259-022-06056-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/18/2022] [Indexed: 11/30/2022]
Abstract
Lymph node metastasis is an indicator of the invasiveness and aggressiveness of cancer. It is a vital prognostic factor in clinical staging of the disease and therapeutic decision-making. Patients with positive metastatic lymph nodes are likely to develop recurrent disease, distant metastasis, and succumb to death in the coming few years. Lymph node dissection and histological analysis are needed to detect whether regional lymph nodes have been infiltrated by cancer cells and determine the likely outcome of treatment and the patient's chances of survival. However, these procedures are invasive, and tissue biopsies are prone to sampling error. In recent years, advanced molecular imaging with novel imaging probes has provided new technologies that are contributing to comprehensive management of cancer, including non-invasive investigation of lymphatic drainage from tumors, identifying metastatic lymph nodes, and guiding surgeons to operate efficiently in patients with complex lesions. In this review, first, we outline the current status of different molecular imaging modalities applied for lymph node metastasis management. Second, we summarize the multi-functional imaging probes applied with the different imaging modalities as well as applications of cancer lymph node metastasis from preclinical studies to clinical translations. Third, we describe the limitations that must be considered in the field of molecular imaging for improved detection of lymph node metastasis. Finally, we propose future directions for molecular imaging technology that will allow more personalized treatment plans for patients with lymph node metastasis.
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Affiliation(s)
- Zhongquan Cheng
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China.,CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Jiaojiao Ma
- Department of Medical Ultrasonics, China-Japan Friendship Hospital, Yinghua East Road 2#, ChaoYang Dist., Beijing, 100029, China
| | - Lin Yin
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.,University of Chinese Academy of Sciences, Beijing, 100080, China
| | - Leyi Yu
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China
| | - Zhu Yuan
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China.
| | - Bo Zhang
- Department of Medical Ultrasonics, China-Japan Friendship Hospital, Yinghua East Road 2#, ChaoYang Dist., Beijing, 100029, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine Science and Engineering, Beihang University, Beijing, 100191, China.
| | - Yang Du
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,University of Chinese Academy of Sciences, Beijing, 100080, China.
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Luo Q, Shao N, Zhang AC, Chen CF, Wang D, Luo LP, Xiao ZY. Smart Biomimetic Nanozymes for Precise Molecular Imaging: Application and Challenges. Pharmaceuticals (Basel) 2023; 16:249. [PMID: 37259396 PMCID: PMC9965384 DOI: 10.3390/ph16020249] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 04/06/2024] Open
Abstract
New nanotechnologies for imaging molecules are widely being applied to visualize the expression of specific molecules (e.g., ions, biomarkers) for disease diagnosis. Among various nanoplatforms, nanozymes, which exhibit enzyme-like catalytic activities in vivo, have gained tremendously increasing attention in molecular imaging due to their unique properties such as diverse enzyme-mimicking activities, excellent biocompatibility, ease of surface tenability, and low cost. In addition, by integrating different nanoparticles with superparamagnetic, photoacoustic, fluorescence, and photothermal properties, the nanoenzymes are able to increase the imaging sensitivity and accuracy for better understanding the complexity and the biological process of disease. Moreover, these functions encourage the utilization of nanozymes as therapeutic agents to assist in treatment. In this review, we focus on the applications of nanozymes in molecular imaging and discuss the use of peroxidase (POD), oxidase (OXD), catalase (CAT), and superoxide dismutase (SOD) with different imaging modalities. Further, the applications of nanozymes for cancer treatment, bacterial infection, and inflammation image-guided therapy are discussed. Overall, this review aims to provide a complete reference for research in the interdisciplinary fields of nanotechnology and molecular imaging to promote the advancement and clinical translation of novel biomimetic nanozymes.
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Affiliation(s)
| | | | | | | | | | - Liang-Ping Luo
- The Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
| | - Ze-Yu Xiao
- The Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, The First Affiliated Hospital of Jinan University, Guangzhou 510632, China
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Cheng Z, Du Y, Yu L, Yuan Z, Tian J. Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future. Mol Imaging Biol 2022; 24:264-279. [PMID: 35102468 DOI: 10.1007/s11307-021-01688-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 11/13/2021] [Accepted: 11/24/2021] [Indexed: 12/19/2022]
Abstract
With the application of mono-immunotherapy in cancer, particularly immune checkpoint inhibitors, improved outcomes have been achieved. However, there are several limitations to immunotherapy, such as a poor response to the drugs, immune resistance, and immune-related adverse events. In recent years, studies of preclinical animal models and clinical trials have demonstrated that immune checkpoint inhibitors for breast cancer can significantly prolong the overall survival and quality of patients' lives. Meanwhile, combined immune checkpoint inhibitor treatment has attracted researchers' attention and showed great potential in the comprehensive treatment of breast cancer patients. Additionally, noninvasive imaging enables physicians to predict response to combined immunotherapeutic drugs, achieve treatment efficacy, and lead to better clinical management. Herein, we review the background of combined immune checkpoint inhibitor therapy and summarize its targeted imaging as well as progress in noninvasive imaging aimed at evaluating therapeutic outcomes. Finally, we describe several factors that may influence the outcome of this combined immunotherapy, the future direction of medical imaging, and the potential application of artificial intelligence in breast cancer. With further development of noninvasive imaging for the guidance of combined immune checkpoint inhibitors, cures for this disease may be achieved.
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Affiliation(s)
- Zhongquan Cheng
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China.,CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China
| | - Yang Du
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China. .,University of Chinese Academy of Sciences, Beijing, 100080, China.
| | - Leyi Yu
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China
| | - Zhu Yuan
- Department of General Surgery, Capital Medical University, Beijing Friendship Hospital, Beijing, 100050, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex System, Institute of Automation, Chinese Academy of Sciences, BeijingBeijing, 100190, China. .,University of Chinese Academy of Sciences, Beijing, 100080, China. .,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine Science and Engineering, Beihang University, Beijing, 100191, China. .,School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, China.
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