Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, United States of America. Department of Engineering Physics, Tsinghua University, Beijing 100084, People's Republic of China. Key Laboratory of Particle and Radiation Imaging (Tsinghua University), Ministry of Education, Beijing 100084, People's Republic of China.
Phys Med Biol. 2020 Apr 23;65(8):085015. doi: 10.1088/1361-6560/ab7a6b.
Monte Carlo (MC) track structure simulation tools are commonly used for predicting radiation induced DNA damage by modeling the physical and chemical reactions at the nanometer scale. However, the outcome of these MC simulations is particularly sensitive to the adopted parameters which vary significantly across studies. In this study, a previously developed full model of nuclear DNA was used to describe the DNA geometry. The TOPAS-nBio MC toolkit was used to investigate the impact of physics and chemistry models as well as three key parameters (the energy threshold for direct damage, the chemical stage time length, and the probability of damage between hydroxyl radical reactions with DNA) on the induction of DNA damage. Our results show that the difference in physics and chemistry models alone can cause differences up to 34% and 16% in the DNA double strand break (DSB) yield, respectively. Additionally, changing the direct damage threshold, chemical stage length, and hydroxyl damage probability can cause differences of up to 28%, 51%, and 71% in predicted DSB yields, respectively, for the configurations in this study.
蒙特卡罗(MC)轨迹结构模拟工具常用于通过模拟纳米尺度的物理和化学反应来预测辐射诱导的 DNA 损伤。然而,这些 MC 模拟的结果对采用的参数特别敏感,这些参数在不同的研究中差异很大。在这项研究中,我们使用了先前开发的完整核 DNA 模型来描述 DNA 几何形状。使用 TOPAS-nBio MC 工具包研究了物理和化学模型以及三个关键参数(直接损伤的能量阈值、化学阶段时间长度以及 DNA 与羟基自由基反应之间的损伤概率)对 DNA 损伤诱导的影响。我们的结果表明,仅物理和化学模型的差异就可能导致 DNA 双链断裂(DSB)产率分别相差高达 34%和 16%。此外,对于本研究中的构型,改变直接损伤阈值、化学阶段长度和羟基损伤概率可导致预测的 DSB 产率分别相差高达 28%、51%和 71%。