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Multiscale approach predictions for biological outcomes in ion-beam cancer therapy

Ion-beam therapy provides advances in cancer treatment, offering the possibility of excellent dose localization and thus maximising cell-killing within the tumour. The full potential of such therapy can only be realised if the fundamental mechanisms leading to lethal cell damage under ion irradiatio...

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Autores principales: Verkhovtsev, Alexey, Surdutovich, Eugene, Solov’yov, Andrey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906349/
https://www.ncbi.nlm.nih.gov/pubmed/27297618
http://dx.doi.org/10.1038/srep27654
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author Verkhovtsev, Alexey
Surdutovich, Eugene
Solov’yov, Andrey V.
author_facet Verkhovtsev, Alexey
Surdutovich, Eugene
Solov’yov, Andrey V.
author_sort Verkhovtsev, Alexey
collection PubMed
description Ion-beam therapy provides advances in cancer treatment, offering the possibility of excellent dose localization and thus maximising cell-killing within the tumour. The full potential of such therapy can only be realised if the fundamental mechanisms leading to lethal cell damage under ion irradiation are well understood. The key question is whether it is possible to quantitatively predict macroscopic biological effects caused by ion radiation on the basis of physical and chemical effects related to the ion-medium interactions on a nanometre scale. We demonstrate that the phenomenon-based MultiScale Approach to the assessment of radiation damage with ions gives a positive answer to this question. We apply this approach to numerous experiments where survival curves were obtained for different cell lines and conditions. Contrary to other, in essence empirical methods for evaluation of macroscopic effects of ionising radiation, the MultiScale Approach predicts the biodamage based on the physical effects related to ionisation of the medium, transport of secondary particles, chemical interactions, thermo-mechanical pathways of biodamage, and heuristic biological criteria for cell survival. We anticipate this method to give great impetus to the practical improvement of ion-beam cancer therapy and the development of more efficient treatment protocols.
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spelling pubmed-49063492016-06-15 Multiscale approach predictions for biological outcomes in ion-beam cancer therapy Verkhovtsev, Alexey Surdutovich, Eugene Solov’yov, Andrey V. Sci Rep Article Ion-beam therapy provides advances in cancer treatment, offering the possibility of excellent dose localization and thus maximising cell-killing within the tumour. The full potential of such therapy can only be realised if the fundamental mechanisms leading to lethal cell damage under ion irradiation are well understood. The key question is whether it is possible to quantitatively predict macroscopic biological effects caused by ion radiation on the basis of physical and chemical effects related to the ion-medium interactions on a nanometre scale. We demonstrate that the phenomenon-based MultiScale Approach to the assessment of radiation damage with ions gives a positive answer to this question. We apply this approach to numerous experiments where survival curves were obtained for different cell lines and conditions. Contrary to other, in essence empirical methods for evaluation of macroscopic effects of ionising radiation, the MultiScale Approach predicts the biodamage based on the physical effects related to ionisation of the medium, transport of secondary particles, chemical interactions, thermo-mechanical pathways of biodamage, and heuristic biological criteria for cell survival. We anticipate this method to give great impetus to the practical improvement of ion-beam cancer therapy and the development of more efficient treatment protocols. Nature Publishing Group 2016-06-14 /pmc/articles/PMC4906349/ /pubmed/27297618 http://dx.doi.org/10.1038/srep27654 Text en Copyright © 2016, 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
Verkhovtsev, Alexey
Surdutovich, Eugene
Solov’yov, Andrey V.
Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title_full Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title_fullStr Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title_full_unstemmed Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title_short Multiscale approach predictions for biological outcomes in ion-beam cancer therapy
title_sort multiscale approach predictions for biological outcomes in ion-beam cancer therapy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906349/
https://www.ncbi.nlm.nih.gov/pubmed/27297618
http://dx.doi.org/10.1038/srep27654
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