Noninvasive imaging in cancer immunotherapy: The way to precision medicine
文献类型:期刊论文
| 作者 | Du, Yang1,5,6 ; Qi, Yafei2; Jin, Zhengyu2; Tian, Jie1,2,3,4,5
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| 刊名 | CANCER LETTERS
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| 出版日期 | 2019 |
| 卷号 | 466页码:13-22 |
| 关键词 | Precision medicine Cancer Immunotherapy Molecular imaging Immune checkpoint inhibitor |
| ISSN号 | 0304-3835 |
| DOI | 10.1016/j.canlet.2019.08.009 |
| 通讯作者 | Jin, Zhengyu(jinzy@pumch.cn) ; Tian, Jie(jie.tian@ia.ac.cn) |
| 英文摘要 | Molecular medicine requires a more precise treatment directed at molecular aberrations detected in tumors on an individual patient level. Immunotherapies empower the body's own immune system to confront tumor cells; however, their efficacy is often affected by tumor heterogeneity. Numerous noninvasive imaging techniques are available to monitor changes in tumor function reflecting therapeutic response, including immunotherapy, and to realize personalized response evaluation. For immunotherapy, strategies for using noninvasive imaging as a prognostic biomarker to identify patients who could benefit from targeted immunotherapy and predict early responders/nonresponders may ultimately lead to improved clinical management, individualized therapy regimens, and better prediction of patient outcomes. Herein, we summarize the recent progress in noninvasive imaging of immunotherapeutic targets such as immune cells, immune checkpoint inhibitors, immune vaccines, and T-cell therapy with chimeric antigen receptor, and review the clinical application of noninvasive imaging in immunotherapy. Finally, we describe the application of multimodal/multispectral imaging and radiomics, which may offer future direction for precision imaging in immunotherapy. With further progress of noninvasive imaging, guiding cancer immunotherapy into the era of precision medicine would be a promising option. |
| WOS关键词 | TUMOR-ASSOCIATED MACROPHAGES ; IMMUNE CHECKPOINT BLOCKADE ; DENDRITIC CELL-MIGRATION ; IN-VIVO TRACKING ; NATURAL-KILLER ; T-CELLS ; SUPPRESSOR-CELLS ; LUNG-CANCER ; ADJUVANT IMMUNOTHERAPY ; MAGNETIC NANOPARTICLES |
| 资助项目 | Ministry of Science and Technology of China[2017YFA0205] ; National Natural Science Foundation of China[81871514] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81470083] ; National Natural Science Foundation of China[91859119] ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences[2018PT32003] ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences[2017PT32004] |
| WOS研究方向 | Oncology |
| 语种 | 英语 |
| WOS记录号 | WOS:000491622800002 |
| 出版者 | ELSEVIER IRELAND LTD |
| 资助机构 | Ministry of Science and Technology of China ; National Natural Science Foundation of China ; National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences |
| 源URL | [http://ir.ia.ac.cn/handle/173211/28898] ![]() |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 通讯作者 | Jin, Zhengyu; Tian, Jie |
| 作者单位 | 1.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China 2.Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Radiol, 1 Shuaifuyuan, Beijing 100730, Peoples R China 3.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China 4.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian 710126, Shaanxi, Peoples R China 5.CAS Key Lab Mol Imaging, Stare Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Yang,Qi, Yafei,Jin, Zhengyu,et al. Noninvasive imaging in cancer immunotherapy: The way to precision medicine[J]. CANCER LETTERS,2019,466:13-22. |
| APA | Du, Yang,Qi, Yafei,Jin, Zhengyu,&Tian, Jie.(2019).Noninvasive imaging in cancer immunotherapy: The way to precision medicine.CANCER LETTERS,466,13-22. |
| MLA | Du, Yang,et al."Noninvasive imaging in cancer immunotherapy: The way to precision medicine".CANCER LETTERS 466(2019):13-22. |
入库方式: OAI收割
来源:自动化研究所
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