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Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology
BACKGROUND/OBJECTIVES: Targeted kinase inhibitors are an important class of agents in anticancer therapeutics, but their limited tolerability hampers their clinical performance. Identification of the molecular mechanisms underlying the development of adverse reactions will be helpful in establishing...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516806/ https://www.ncbi.nlm.nih.gov/pubmed/28725458 http://dx.doi.org/10.1038/npjsba.2015.5 |
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author | Amemiya, Takahiro Honma, Masashi Kariya, Yoshiaki Ghosh, Samik Kitano, Hiroaki Kurachi, Yoshihisa Fujita, Ken-ichi Sasaki, Yasutsuna Homma, Yukio Abernethy, Darrel R Kume, Haruki Suzuki, Hiroshi |
author_facet | Amemiya, Takahiro Honma, Masashi Kariya, Yoshiaki Ghosh, Samik Kitano, Hiroaki Kurachi, Yoshihisa Fujita, Ken-ichi Sasaki, Yasutsuna Homma, Yukio Abernethy, Darrel R Kume, Haruki Suzuki, Hiroshi |
author_sort | Amemiya, Takahiro |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Targeted kinase inhibitors are an important class of agents in anticancer therapeutics, but their limited tolerability hampers their clinical performance. Identification of the molecular mechanisms underlying the development of adverse reactions will be helpful in establishing a rational method for the management of clinically adverse reactions. Here, we selected sunitinib as a model and demonstrated that the molecular mechanisms underlying the adverse reactions associated with kinase inhibitors can efficiently be identified using a systems toxicological approach. METHODS: First, toxicological target candidates were short-listed by comparing the human kinase occupancy profiles of sunitinib and sorafenib, and the molecular mechanisms underlying adverse reactions were predicted by sequential simulations using publicly available mathematical models. Next, to evaluate the probability of these predictions, a clinical observation study was conducted in six patients treated with sunitinib. Finally, mouse experiments were performed for detailed confirmation of the hypothesized molecular mechanisms and to evaluate the efficacy of a proposed countermeasure against adverse reactions to sunitinib. RESULTS: In silico simulations indicated the possibility that sunitinib-mediated off-target inhibition of phosphorylase kinase leads to the generation of oxidative stress in various tissues. Clinical observations of patients and mouse experiments confirmed the validity of this prediction. The simulation further suggested that concomitant use of an antioxidant may prevent sunitinib-mediated adverse reactions, which was confirmed in mouse experiments. CONCLUSIONS: A systems toxicological approach successfully predicted the molecular mechanisms underlying clinically adverse reactions associated with sunitinib and was used to plan a rational method for the management of these adverse reactions. |
format | Online Article Text |
id | pubmed-5516806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55168062017-07-19 Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology Amemiya, Takahiro Honma, Masashi Kariya, Yoshiaki Ghosh, Samik Kitano, Hiroaki Kurachi, Yoshihisa Fujita, Ken-ichi Sasaki, Yasutsuna Homma, Yukio Abernethy, Darrel R Kume, Haruki Suzuki, Hiroshi NPJ Syst Biol Appl Article BACKGROUND/OBJECTIVES: Targeted kinase inhibitors are an important class of agents in anticancer therapeutics, but their limited tolerability hampers their clinical performance. Identification of the molecular mechanisms underlying the development of adverse reactions will be helpful in establishing a rational method for the management of clinically adverse reactions. Here, we selected sunitinib as a model and demonstrated that the molecular mechanisms underlying the adverse reactions associated with kinase inhibitors can efficiently be identified using a systems toxicological approach. METHODS: First, toxicological target candidates were short-listed by comparing the human kinase occupancy profiles of sunitinib and sorafenib, and the molecular mechanisms underlying adverse reactions were predicted by sequential simulations using publicly available mathematical models. Next, to evaluate the probability of these predictions, a clinical observation study was conducted in six patients treated with sunitinib. Finally, mouse experiments were performed for detailed confirmation of the hypothesized molecular mechanisms and to evaluate the efficacy of a proposed countermeasure against adverse reactions to sunitinib. RESULTS: In silico simulations indicated the possibility that sunitinib-mediated off-target inhibition of phosphorylase kinase leads to the generation of oxidative stress in various tissues. Clinical observations of patients and mouse experiments confirmed the validity of this prediction. The simulation further suggested that concomitant use of an antioxidant may prevent sunitinib-mediated adverse reactions, which was confirmed in mouse experiments. CONCLUSIONS: A systems toxicological approach successfully predicted the molecular mechanisms underlying clinically adverse reactions associated with sunitinib and was used to plan a rational method for the management of these adverse reactions. Nature Publishing Group 2015-09-28 /pmc/articles/PMC5516806/ /pubmed/28725458 http://dx.doi.org/10.1038/npjsba.2015.5 Text en Copyright © 2015 The Systems Biology Institute/Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Amemiya, Takahiro Honma, Masashi Kariya, Yoshiaki Ghosh, Samik Kitano, Hiroaki Kurachi, Yoshihisa Fujita, Ken-ichi Sasaki, Yasutsuna Homma, Yukio Abernethy, Darrel R Kume, Haruki Suzuki, Hiroshi Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title | Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title_full | Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title_fullStr | Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title_full_unstemmed | Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title_short | Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
title_sort | elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5516806/ https://www.ncbi.nlm.nih.gov/pubmed/28725458 http://dx.doi.org/10.1038/npjsba.2015.5 |
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