Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-020-16771-y
Title: Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging
Authors: Zhou, Z
Deng, H
Yang, W
Wang, Z
Lin, L
Munasinghe, J
Jacobson, O
Liu, Y
Tang, L
Ni, Q 
Kang, F
Liu, Y
Niu, G
Bai, R
Qian, C
Song, J
Chen, X
Keywords: Adaptive Immunity
Animals
Humans
Magnetic Resonance Imaging
Mice
Neoplasms
Reactive Oxygen Species
Issue Date: 1-Dec-2020
Publisher: Springer Science and Business Media LLC
Citation: Zhou, Z, Deng, H, Yang, W, Wang, Z, Lin, L, Munasinghe, J, Jacobson, O, Liu, Y, Tang, L, Ni, Q, Kang, F, Liu, Y, Niu, G, Bai, R, Qian, C, Song, J, Chen, X (2020-12-01). Early stratification of radiotherapy response by activatable inflammation magnetic resonance imaging. Nature Communications 11 (1) : 3032-. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-020-16771-y
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.
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/234907
ISSN: 2041-1723
DOI: 10.1038/s41467-020-16771-y
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