Literature DB >> 18363426

Combined use of Monte Carlo DNA damage simulations and deterministic repair models to examine putative mechanisms of cell killing.

David J Carlson1, Robert D Stewart, Vladimir A Semenenko, George A Sandison.   

Abstract

A kinetic repair-misrepair-fixation (RMF) model is developed to better link double-strand break (DSB) induction to reproductive cell death. Formulas linking linear-quadratic (LQ) model radiosensitivity parameters to DSB induction and repair explicitly account for the contribution to cell killing of unrejoinable DSBs, misrepaired and fixed DSBs, and exchanges formed through intra- and intertrack DSB interactions. Information from Monte Carlo simulations is used to determine the initial yields and complexity of DSBs formed by low- and high-LET radiations. Our analysis of published survival data for human kidney cells suggests that intratrack DSB interactions are negligible for low-LET radiations but increase rapidly with increasing LET. The analysis suggests that no class of DSB is intrinsically unrejoinable or that DSB reparability is not strictly determined by the number of lesions forming the DSB. For radiations with LET >110 keV/mum, the model predicts that the relative cell killing efficiency, per unit absorbed dose, should continue to increase, whereas data from published experiments indicate a reduced cell killing efficiency. This observation suggests that the Monte Carlo simulation overestimates the DSB yield beyond 110 keV/microm or that other biological phenomena not included in the model, such as proximity effects, are important. For 200-250 kVp X rays ( approximately 1.9 keV/microm), only about 1% of the one-track killing is attributed to intratrack binary misrepair interactions. The analysis indicates that the remaining 99% of the lethal damage is due to other types of one-track damage, including possible unrepairable, misrepaired and fixed damage. Compared to the analysis of the X-ray results, 48% of the one-track lethal damage caused by 5.1 MeV alpha particles (approximately 88 keV/microm) is due to intratrack DSB interactions while the remainder is due to other forms of one-track damage.

Entities:  

Mesh:

Year:  2008        PMID: 18363426     DOI: 10.1667/RR1046.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  30 in total

1.  Analysis of the track- and dose-averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code.

Authors:  Fada Guan; Christopher Peeler; Lawrence Bronk; Changran Geng; Reza Taleei; Sharmalee Randeniya; Shuaiping Ge; Dragan Mirkovic; David Grosshans; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  Hypofractionation results in reduced tumor cell kill compared to conventional fractionation for tumors with regions of hypoxia.

Authors:  David J Carlson; Paul J Keall; Billy W Loo; Zhe J Chen; J Martin Brown
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-12-22       Impact factor: 7.038

Review 3.  Proton RBE dependence on dose in the setting of hypofractionation.

Authors:  Thomas Friedrich
Journal:  Br J Radiol       Date:  2019-08-28       Impact factor: 3.039

4.  The potential impact of ultrathin filter design on dosimetry and relative biological effectiveness in modern image-guided small animal irradiators.

Authors:  Yannick Poirier; Christopher Daniel Johnstone; Charles Kirkby
Journal:  Br J Radiol       Date:  2018-11-15       Impact factor: 3.039

5.  Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints.

Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

Review 6.  The tumor radiobiology of SRS and SBRT: are more than the 5 Rs involved?

Authors:  J Martin Brown; David J Carlson; David J Brenner
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-02-01       Impact factor: 7.038

Review 7.  Radiobiological issues in proton therapy.

Authors:  Radhe Mohan; Christopher R Peeler; Fada Guan; Lawrence Bronk; Wenhua Cao; David R Grosshans
Journal:  Acta Oncol       Date:  2017-08-22       Impact factor: 4.089

Review 8.  Modelling variable proton relative biological effectiveness for treatment planning.

Authors:  Aimee McNamara; Henning Willers; Harald Paganetti
Journal:  Br J Radiol       Date:  2019-11-18       Impact factor: 3.039

Review 9.  Induction of DNA Damage by Light Ions Relative to 60Co γ-rays.

Authors:  Robert D Stewart
Journal:  Int J Part Ther       Date:  2018-09-21

10.  Clinical evidence of variable proton biological effectiveness in pediatric patients treated for ependymoma.

Authors:  Christopher R Peeler; Dragan Mirkovic; Uwe Titt; Pierre Blanchard; Jillian R Gunther; Anita Mahajan; Radhe Mohan; David R Grosshans
Journal:  Radiother Oncol       Date:  2016-11-16       Impact factor: 6.280

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.