a Department of Physics, University of Adelaide, North Terrace, Adelaide, South Australia 5005, Australia.
b Department of Medical Physics, Royal Adelaide Hospital, North Terrace, Adelaide, South Australia 5000, Australia.
Radiat Res. 2018 Sep;190(3):248-261. doi: 10.1667/RR15050.1. Epub 2018 Jun 28.
DNA damage induced by ionizing radiation exposure is enhanced in the presence of oxygen (the "oxygen effect"). Despite its practical importance in radiotherapy, the oxygen effect has largely been excluded from models that predict DNA damage from radiation tracks. A Monte Carlo-based algorithm was developed in MATLAB software to predict DNA damage from physical and chemical tracks through a cell nucleus simulated in Geant4-DNA, taking into account the effects of cellular oxygenation (pO) on DNA radical chemistry processes. An initial spatial distribution of DNA base and sugar radicals was determined by spatially clustering direct events (that deposited at least 10.79 eV) and hydroxyl radical (OH) interactions. The oxygen effect was modeled by increasing the efficiency with which sugar radicals from direct-type effects were converted to strand breaks from 0.6 to 1, the efficiency with which sugar radicals from the indirect effect were converted to strand breaks from 0.28 to 1 and the efficiency of base-to-sugar radical transfer from OH-mediated base radicals from 0 to 0.03 with increasing pO from 0 to 760 mmHg. The DNA damage induction algorithm was applied to tracks from electrons, protons and alphas with LET values from 0.2 to 150 keV/μm under different pO conditions. The oxygen enhancement ratio for double-strand break induction was 3.0 for low-LET radiation up to approximately 15 keV/μm, after which it gradually decreased to a value of 1.3 at 150 keV/μm. These values were consistent with a range of experimental data published in the literature. The DNA damage yields were verified using experimental data in the literature and results from other theoretical models. The spatial clustering approach developed in this work has low memory requirements and may be suitable for particle tracking simulations with a large number of cells.
电离辐射导致的 DNA 损伤在有氧存在的情况下会增强(“氧效应”)。尽管其在放射治疗中的实际意义重大,但氧效应在很大程度上已被排除在预测辐射轨迹导致 DNA 损伤的模型之外。本研究开发了一种基于蒙特卡罗的算法,该算法在 MATLAB 软件中使用,通过 Geant4-DNA 模拟的细胞核,考虑细胞氧合(pO)对 DNA 自由基化学过程的影响,预测来自物理和化学轨迹的 DNA 损伤。通过空间聚类直接事件(至少沉积 10.79 eV)和羟基自由基(OH)相互作用,确定了 DNA 碱基和糖自由基的初始空间分布。通过将直接型作用产生的糖自由基转化为链断裂的效率从 0.6 增加到 1,将间接作用产生的糖自由基转化为链断裂的效率从 0.28 增加到 1,以及将 OH 介导的碱基自由基向糖自由基转移的效率从 0 增加到 0.03 ,从而模拟了氧效应,pO 从 0 增加到 760 mmHg。在不同的 pO 条件下,将 DNA 损伤诱导算法应用于电子、质子和α粒子的轨迹,LET 值从 0.2 到 150 keV/μm。低 LET 辐射的双链断裂诱导的氧增强比在约 15 keV/μm 之前为 3.0,之后逐渐降低到 150 keV/μm 时的 1.3。这些值与文献中发表的一系列实验数据一致。使用文献中的实验数据和其他理论模型的结果验证了 DNA 损伤产额。本研究开发的空间聚类方法具有较低的内存要求,可能适用于具有大量细胞的粒子跟踪模拟。