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Mathematical model for the thermal enhancement of radiation response: thermodynamic approach

Radiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Recent technological advances in the clinical application has revitalized hyperthermia treatment (HT) as an option to improve radiothera...

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Autores principales: De Mendoza, Adriana M., Michlíková, Soňa, Berger, Johann, Karschau, Jens, Kunz-Schughart, Leoni A., McLeod, Damian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970926/
https://www.ncbi.nlm.nih.gov/pubmed/33750833
http://dx.doi.org/10.1038/s41598-021-84620-z
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author De Mendoza, Adriana M.
Michlíková, Soňa
Berger, Johann
Karschau, Jens
Kunz-Schughart, Leoni A.
McLeod, Damian D.
author_facet De Mendoza, Adriana M.
Michlíková, Soňa
Berger, Johann
Karschau, Jens
Kunz-Schughart, Leoni A.
McLeod, Damian D.
author_sort De Mendoza, Adriana M.
collection PubMed
description Radiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Recent technological advances in the clinical application has revitalized hyperthermia treatment (HT) as an option to improve radiotherapy (RT) outcomes. Understanding the synergistic effect of simultaneous thermoradiotherapy via mathematical modelling is essential for treatment planning. We here propose a theoretical model in which the thermal enhancement ratio (TER) relates to the cell fraction being radiosensitised by the infliction of sublethal damage through HT. Further damage finally kills the cell or abrogates its proliferative capacity in a non-reversible process. We suggest the TER to be proportional to the energy invested in the sensitisation, which is modelled as a simple rate process. Assuming protein denaturation as the main driver of HT-induced sublethal damage and considering the temperature dependence of the heat capacity of cellular proteins, the sensitisation rates were found to depend exponentially on temperature; in agreement with previous empirical observations. Our findings point towards an improved definition of thermal dose in concordance with the thermodynamics of protein denaturation. Our predictions well reproduce experimental in vitro and in vivo data, explaining the thermal modulation of cellular radioresponse for simultaneous thermoradiotherapy.
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spelling pubmed-79709262021-03-19 Mathematical model for the thermal enhancement of radiation response: thermodynamic approach De Mendoza, Adriana M. Michlíková, Soňa Berger, Johann Karschau, Jens Kunz-Schughart, Leoni A. McLeod, Damian D. Sci Rep Article Radiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Recent technological advances in the clinical application has revitalized hyperthermia treatment (HT) as an option to improve radiotherapy (RT) outcomes. Understanding the synergistic effect of simultaneous thermoradiotherapy via mathematical modelling is essential for treatment planning. We here propose a theoretical model in which the thermal enhancement ratio (TER) relates to the cell fraction being radiosensitised by the infliction of sublethal damage through HT. Further damage finally kills the cell or abrogates its proliferative capacity in a non-reversible process. We suggest the TER to be proportional to the energy invested in the sensitisation, which is modelled as a simple rate process. Assuming protein denaturation as the main driver of HT-induced sublethal damage and considering the temperature dependence of the heat capacity of cellular proteins, the sensitisation rates were found to depend exponentially on temperature; in agreement with previous empirical observations. Our findings point towards an improved definition of thermal dose in concordance with the thermodynamics of protein denaturation. Our predictions well reproduce experimental in vitro and in vivo data, explaining the thermal modulation of cellular radioresponse for simultaneous thermoradiotherapy. Nature Publishing Group UK 2021-03-09 /pmc/articles/PMC7970926/ /pubmed/33750833 http://dx.doi.org/10.1038/s41598-021-84620-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
De Mendoza, Adriana M.
Michlíková, Soňa
Berger, Johann
Karschau, Jens
Kunz-Schughart, Leoni A.
McLeod, Damian D.
Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title_full Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title_fullStr Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title_full_unstemmed Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title_short Mathematical model for the thermal enhancement of radiation response: thermodynamic approach
title_sort mathematical model for the thermal enhancement of radiation response: thermodynamic approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970926/
https://www.ncbi.nlm.nih.gov/pubmed/33750833
http://dx.doi.org/10.1038/s41598-021-84620-z
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