A general mechanistic model enables predictions of the biological effectiveness of different qualities of radiation

Stephen J. McMahon*, Aimee L. McNamara, Jan Schuemann, Harald Paganetti, Kevin M. Prise

*Corresponding author for this work

Research output: Contribution to journalArticle

24 Citations (Scopus)
197 Downloads (Pure)

Abstract

Predicting the responses of biological systems to ionising radiation is extremely challenging, particularly when comparing X-rays and heavy charged particles, due to the uncertainty in their Relative Biological Effectiveness (RBE). Here we assess the power of a novel mechanistic model of DNA damage repair to predict the sensitivity of cells to X-ray, proton or carbon ion exposures in vitro against over 800 published experiments. By specifying the phenotypic characteristics of cells, the model was able to effectively stratify X-ray radiosensitivity (R 2 = 0.74) without the use of any cell-specific fitting parameters. This model was extended to charged particle exposures by integrating Monte Carlo calculated dose distributions, and successfully fit to cellular proton radiosensitivity using a single dose-related parameter (R 2 = 0.66). Using these parameters, the model was also shown to be predictive of carbon ion RBE (R 2 = 0.77). This model can effectively predict cellular sensitivity to a range of radiations, and has the potential to support developments of personalised radiotherapy independent of radiation type.

Original languageEnglish
Article number10790
JournalScientific Reports
Volume7
Issue number1
Early online date07 Sep 2017
DOIs
Publication statusEarly online date - 07 Sep 2017

ASJC Scopus subject areas

  • General

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