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Zhang Z, Du Y, Shi X, Wang K, Qu Q, Liang Q, Ma X, He K, Chi C, Tang J, Liu B, Ji J, Wang J, Dong J, Hu Z, Tian J. NIR-II light in clinical oncology: opportunities and challenges. Nat Rev Clin Oncol 2024; 21:449-467. [PMID: 38693335 DOI: 10.1038/s41571-024-00892-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 05/03/2024]
Abstract
Novel strategies utilizing light in the second near-infrared region (NIR-II; 900-1,880 nm wavelengths) offer the potential to visualize and treat solid tumours with enhanced precision. Over the past few decades, numerous techniques leveraging NIR-II light have been developed with the aim of precisely eliminating tumours while maximally preserving organ function. During cancer surgery, NIR-II optical imaging enables the visualization of clinically occult lesions and surrounding vital structures with increased sensitivity and resolution, thereby enhancing surgical quality and improving patient prognosis. Furthermore, the use of NIR-II light promises to improve cancer phototherapy by enabling the selective delivery of increased therapeutic energy to tissues at greater depths. Initial clinical studies of NIR-II-based imaging and phototherapy have indicated impressive potential to decrease cancer recurrence, reduce complications and prolong survival. Despite the encouraging results achieved, clinical translation of innovative NIR-II techniques remains challenging and inefficient; multidisciplinary cooperation is necessary to bridge the gap between preclinical research and clinical practice, and thus accelerate the translation of technical advances into clinical benefits. In this Review, we summarize the available clinical data on NIR-II-based imaging and phototherapy, demonstrating the feasibility and utility of integrating these technologies into the treatment of cancer. We also introduce emerging NIR-II-based approaches with substantial potential to further enhance patient outcomes, while also highlighting the challenges associated with imminent clinical studies of these modalities.
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Affiliation(s)
- Zeyu Zhang
- Key Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China
| | - Yang Du
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Xiaojing Shi
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Kun Wang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Qiaojun Qu
- Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Qian Liang
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Xiaopeng Ma
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Kunshan He
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Chongwei Chi
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China
| | - Jianqiang Tang
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Liu
- Department of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiafu Ji
- Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing, China.
| | - Jun Wang
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
| | - Jiahong Dong
- Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
| | - Zhenhua Hu
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
| | - Jie Tian
- Key Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, China.
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Chinese Academy of Sciences, Beijing, China.
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China.
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Ichinose J, Okamura A. The Search for Cancer Using Light Having Longer Wavelength. Ann Surg Oncol 2024; 31:2196-2197. [PMID: 38170411 DOI: 10.1245/s10434-023-14837-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Affiliation(s)
- Junji Ichinose
- Department of Thoracic Surgical Oncology, Cancer Institute Hospital of JFCR, Tokyo, Japan
| | - Akihiko Okamura
- Department of Esophageal Surgery, Cancer Institute Hospital of JFCR, Tokyo, Japan.
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Mi J, Li C, Yang F, Shi X, Zhang Z, Guo L, Jiang G, Li Y, Wang J, Yang F, Hu Z, Zhou J. ASO Author Reflections: Application of Near-Infrared-II Fluorescence Imaging in Thoracic Surgery. Ann Surg Oncol 2024; 31:2509-2510. [PMID: 38161199 DOI: 10.1245/s10434-023-14822-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 12/07/2023] [Indexed: 01/03/2024]
Affiliation(s)
- Jiahui Mi
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Changjian Li
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Feng Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Xiaojing Shi
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Zeyu Zhang
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Lishuang Guo
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology, Beijing, China
| | - Guanchao Jiang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Yun Li
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Jun Wang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Fan Yang
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
| | - Zhenhua Hu
- CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
| | - Jian Zhou
- Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.
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