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Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments

Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally induced factors, may greatly influence treatment outcome, but is difficult...

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Autores principales: Brüningk, S., Powathil, G., Ziegenhein, P., Ijaz, J., Rivens, I., Nill, S., Chaplain, M., Oelfke, U., ter Haar, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805969/
https://www.ncbi.nlm.nih.gov/pubmed/29343635
http://dx.doi.org/10.1098/rsif.2017.0681
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author Brüningk, S.
Powathil, G.
Ziegenhein, P.
Ijaz, J.
Rivens, I.
Nill, S.
Chaplain, M.
Oelfke, U.
ter Haar, G.
author_facet Brüningk, S.
Powathil, G.
Ziegenhein, P.
Ijaz, J.
Rivens, I.
Nill, S.
Chaplain, M.
Oelfke, U.
ter Haar, G.
author_sort Brüningk, S.
collection PubMed
description Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally induced factors, may greatly influence treatment outcome, but is difficult to account for using traditional treatment planning approaches. Systems oncology simulation, using mathematical models designed to predict tumour growth and treatment response, provides a powerful tool for analysis and optimization of combined treatments. We present a framework that simulates such combination treatments on a cellular level. This multiscale hybrid cellular automaton simulates large cell populations (up to 10(7) cells) in vitro, while allowing individual cell-cycle progression, and treatment response by modelling radiation-induced mitotic cell death, and immediate cell kill in response to heating. Based on a calibration using a number of experimental growth, cell cycle and survival datasets for HCT116 cells, model predictions agreed well (R(2) > 0.95) with experimental data within the range of (thermal and radiation) doses tested (0–40 CEM43, 0–5 Gy). The proposed framework offers flexibility for modelling multimodality treatment combinations in different scenarios. It may therefore provide an important step towards the modelling of personalized therapies using a virtual patient tumour.
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spelling pubmed-58059692018-02-13 Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments Brüningk, S. Powathil, G. Ziegenhein, P. Ijaz, J. Rivens, I. Nill, S. Chaplain, M. Oelfke, U. ter Haar, G. J R Soc Interface Life Sciences–Physics interface Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally induced factors, may greatly influence treatment outcome, but is difficult to account for using traditional treatment planning approaches. Systems oncology simulation, using mathematical models designed to predict tumour growth and treatment response, provides a powerful tool for analysis and optimization of combined treatments. We present a framework that simulates such combination treatments on a cellular level. This multiscale hybrid cellular automaton simulates large cell populations (up to 10(7) cells) in vitro, while allowing individual cell-cycle progression, and treatment response by modelling radiation-induced mitotic cell death, and immediate cell kill in response to heating. Based on a calibration using a number of experimental growth, cell cycle and survival datasets for HCT116 cells, model predictions agreed well (R(2) > 0.95) with experimental data within the range of (thermal and radiation) doses tested (0–40 CEM43, 0–5 Gy). The proposed framework offers flexibility for modelling multimodality treatment combinations in different scenarios. It may therefore provide an important step towards the modelling of personalized therapies using a virtual patient tumour. The Royal Society 2018-01 2018-01-17 /pmc/articles/PMC5805969/ /pubmed/29343635 http://dx.doi.org/10.1098/rsif.2017.0681 Text en © 2018 The Author(s). http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Physics interface
Brüningk, S.
Powathil, G.
Ziegenhein, P.
Ijaz, J.
Rivens, I.
Nill, S.
Chaplain, M.
Oelfke, U.
ter Haar, G.
Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title_full Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title_fullStr Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title_full_unstemmed Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title_short Combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
title_sort combining radiation with hyperthermia: a multiscale model informed by in vitro experiments
topic Life Sciences–Physics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805969/
https://www.ncbi.nlm.nih.gov/pubmed/29343635
http://dx.doi.org/10.1098/rsif.2017.0681
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