Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging

Zijian Zhou; Hongzhang Deng; Weijing Yang; Zhantong Wang; Lisen Lin; Jeeva Munasinghe; Orit Jacobson; Yijing Liu; Longguang Tang; Qianqian Ni; Fei Kang; Yuan Liu; Gang Niu; Ruiliang Bai; Chunqi Qian; Jibin Song; Xiaoyuan Chen

doi:10.1038/s41467-020-16771-y

Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging

Nat Commun. 2020 Jun 15;11(1):3032. doi: 10.1038/s41467-020-16771-y.

Authors

Zijian Zhou¹, Hongzhang Deng^{1

2}, Weijing Yang¹, Zhantong Wang¹, Lisen Lin², Jeeva Munasinghe³, Orit Jacobson¹, Yijing Liu¹, Longguang Tang¹, Qianqian Ni¹, Fei Kang¹, Yuan Liu¹, Gang Niu¹, Ruiliang Bai⁴, Chunqi Qian⁵, Jibin Song⁶, Xiaoyuan Chen⁷

Affiliations

¹ Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20892, USA.
² MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, Fujian, China.
³ Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20892, USA.
⁴ Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, 310029, China.
⁵ Department of Radiology, Michigan State University, East Lansing, MI, 48824, USA.
⁶ MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, 350116, Fujian, China. jibinsong@fzu.edu.cn.
⁷ Laboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, 20892, USA. shawn.chen@nih.gov.

Abstract

Tumor heterogeneity is one major reason for unpredictable therapeutic outcomes, while stratifying therapeutic responses at an early time may greatly benefit the better control of cancer. Here, we developed a hybrid nanovesicle to stratify radiotherapy response by activatable inflammation magnetic resonance imaging (aiMRI) approach. The high Pearson's correlation coefficient R values are obtained from the correlations between the T₁ relaxation time changes at 24-48 h and the ensuing adaptive immunity (R = 0.9831) at day 5 and the tumor inhibition ratios (R = 0.9308) at day 18 after different treatments, respectively. These results underscore the role of acute inflammatory oxidative response in bridging the innate and adaptive immunity in tumor radiotherapy. Furthermore, the aiMRI approach provides a non-invasive imaging strategy for early prediction of the therapeutic outcomes in cancer radiotherapy, which may contribute to the future of precision medicine in terms of prognostic stratification and therapeutic planning.

Publication types

Evaluation Study
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't

MeSH terms

Adaptive Immunity
Animals
Humans
Magnetic Resonance Imaging / instrumentation
Magnetic Resonance Imaging / methods*
Mice
Neoplasms / diagnostic imaging*
Neoplasms / immunology
Neoplasms / radiotherapy*
Reactive Oxygen Species / immunology

Substances

Reactive Oxygen Species

Grants and funding

ZIA EB000073/ImNIH/Intramural NIH HHS/United States