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Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment
Mathematical modelling has been instrumental to understand kinetics of radiation-induced DNA damage repair and associated secondary cancer risk. The widely accepted two-lesion kinetic (TLK) model assumes two kinds of double strand breaks, simple and complex ones, with different repair rates. Recentl...
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/PMC4566481/ https://www.ncbi.nlm.nih.gov/pubmed/26359627 http://dx.doi.org/10.1038/srep13540 |
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author | Rastgou Talemi, Soheil Kollarovic, Gabriel Lapytsko, Anastasiya Schaber, Jörg |
author_facet | Rastgou Talemi, Soheil Kollarovic, Gabriel Lapytsko, Anastasiya Schaber, Jörg |
author_sort | Rastgou Talemi, Soheil |
collection | PubMed |
description | Mathematical modelling has been instrumental to understand kinetics of radiation-induced DNA damage repair and associated secondary cancer risk. The widely accepted two-lesion kinetic (TLK) model assumes two kinds of double strand breaks, simple and complex ones, with different repair rates. Recently, persistent DNA damage associated with telomeres was reported as a new kind of DNA damage. We therefore extended existing versions of the TLK model by new categories of DNA damage and re-evaluated those models using extensive data. We subjected different versions of the TLK model to a rigorous model discrimination approach. This enabled us to robustly select a best approximating parsimonious model that can both recapitulate and predict transient and persistent DNA damage after ionizing radiation. Models and data argue for i) nonlinear dose-damage relationships, and ii) negligible saturation of repair kinetics even for high doses. Additionally, we show that simulated radiation-induced persistent telomere-associated DNA damage foci (TAF) can be used to predict excess relative risk (ERR) of developing secondary leukemia after fractionated radiotherapy. We suggest that TAF may serve as an additional measure to predict cancer risk after radiotherapy using high dose rates. This may improve predicting risk-dose dependency of ionizing radiation especially for long-term therapies. |
format | Online Article Text |
id | pubmed-4566481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45664812015-09-15 Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment Rastgou Talemi, Soheil Kollarovic, Gabriel Lapytsko, Anastasiya Schaber, Jörg Sci Rep Article Mathematical modelling has been instrumental to understand kinetics of radiation-induced DNA damage repair and associated secondary cancer risk. The widely accepted two-lesion kinetic (TLK) model assumes two kinds of double strand breaks, simple and complex ones, with different repair rates. Recently, persistent DNA damage associated with telomeres was reported as a new kind of DNA damage. We therefore extended existing versions of the TLK model by new categories of DNA damage and re-evaluated those models using extensive data. We subjected different versions of the TLK model to a rigorous model discrimination approach. This enabled us to robustly select a best approximating parsimonious model that can both recapitulate and predict transient and persistent DNA damage after ionizing radiation. Models and data argue for i) nonlinear dose-damage relationships, and ii) negligible saturation of repair kinetics even for high doses. Additionally, we show that simulated radiation-induced persistent telomere-associated DNA damage foci (TAF) can be used to predict excess relative risk (ERR) of developing secondary leukemia after fractionated radiotherapy. We suggest that TAF may serve as an additional measure to predict cancer risk after radiotherapy using high dose rates. This may improve predicting risk-dose dependency of ionizing radiation especially for long-term therapies. Nature Publishing Group 2015-09-11 /pmc/articles/PMC4566481/ /pubmed/26359627 http://dx.doi.org/10.1038/srep13540 Text en Copyright © 2015, 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 Rastgou Talemi, Soheil Kollarovic, Gabriel Lapytsko, Anastasiya Schaber, Jörg Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title | Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title_full | Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title_fullStr | Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title_full_unstemmed | Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title_short | Development of a robust DNA damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
title_sort | development of a robust dna damage model including persistent telomere-associated damage with application to secondary cancer risk assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4566481/ https://www.ncbi.nlm.nih.gov/pubmed/26359627 http://dx.doi.org/10.1038/srep13540 |
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