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Bystander effects and their implications for clinical radiation therapy : insights from multiscale in silico experiments
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dc.contributor.author | Powathil, Gibin | |
dc.contributor.author | Munro, Alastair John | |
dc.contributor.author | Chaplain, Mark Andrew Joseph | |
dc.contributor.author | Swat, Maciej | |
dc.date.accessioned | 2017-04-12T23:33:57Z | |
dc.date.available | 2017-04-12T23:33:57Z | |
dc.date.issued | 2016-07-21 | |
dc.identifier | 241900897 | |
dc.identifier | 3b1d9429-2bfb-4b29-9c00-45fe441e4532 | |
dc.identifier | 84964438078 | |
dc.identifier | 000377844000001 | |
dc.identifier.citation | Powathil , G , Munro , A J , Chaplain , M A J & Swat , M 2016 , ' Bystander effects and their implications for clinical radiation therapy : insights from multiscale in silico experiments ' , Journal of Theoretical Biology , vol. 401 , pp. 1-14 . https://doi.org/10.1016/j.jtbi.2016.04.010 | en |
dc.identifier.issn | 0022-5193 | |
dc.identifier.other | ORCID: /0000-0001-5727-2160/work/55378860 | |
dc.identifier.uri | https://hdl.handle.net/10023/10615 | |
dc.description | GGP and MAJC thank University of Dundee, where this research was carried out. The authors gratefully acknowledge the support of the ERC Advanced Investigator Grant 227619, M5CGS - From Mutations to Metastases: Multiscale Mathematical Modelling of Cancer Growth and Spread. AJM Acknowledges support from EU BIOMICS Project DG-CNECT Contract 318202. | en |
dc.description.abstract | Radiotherapy is a commonly used treatment for cancer and is usually given in varying doses. At low radiation doses relatively few cells die as a direct response to radiation but secondary radiation effects, such as DNA mutation or bystander phenomena, may affect many cells. Consequently it is at low radiation levels where an understanding of bystander effects is essential in designing novel therapies with superior clinical outcomes. In this article, we use a hybrid multiscale mathematical model to study the direct effects of radiation as well as radiation-induced bystander effects on both tumour cells and normal cells. We show that bystander responses play a major role in mediating radiation damage to cells at low-doses of radiotherapy, doing more damage than that due to direct radiation. The survival curves derived from our computational simulations showed an area of hyper-radiosensitivity at low-doses that are not obtained using a traditional radiobiological model. | |
dc.format.extent | 1741930 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Theoretical Biology | en |
dc.subject | Multiscale mathematical model | en |
dc.subject | Radiation therapy | en |
dc.subject | Radiation-induced bystander effects | en |
dc.subject | Cell-cycle | en |
dc.subject | RC0254 Neoplasms. Tumors. Oncology (including Cancer) | en |
dc.subject | QA Mathematics | en |
dc.subject | NDAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject.lcc | RC0254 | en |
dc.subject.lcc | QA | en |
dc.title | Bystander effects and their implications for clinical radiation therapy : insights from multiscale in silico experiments | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. Applied Mathematics | en |
dc.contributor.institution | University of St Andrews. School of Medicine | en |
dc.identifier.doi | https://doi.org/10.1016/j.jtbi.2016.04.010 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2017-04-12 |
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