Super-competition as a Novel Mechanism of the Dose-rate Effect in Radiation Carcinogenesis: A Mathematical Model Study.

IF 2.5 3区 医学 Q2 BIOLOGY Radiation research Pub Date : 2025-01-20 DOI:10.1667/RADE-24-00191.1
Yuya Hattori, Kento Nagata, Ritsuko Watanabe, Akinari Yokoya, Tatsuhiko Imaoka
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Abstract

Data from animal experiments show that the radiation-related risk of cancer decreases if the dose rate is reduced, even though the cumulative dose is unchanged (i.e., a dose-rate effect); however, the underlying mechanism is not well understood. To explore factors underlying the dose-rate effect observed in experimental rat mammary carcinogenesis, we developed a mathematical model that accounts for cellular dynamics during carcinogenesis, and then examined whether the model predicts cancer incidence. A mathematical model of multistage carcinogenesis involving radiation-induced cell death and mutagenesis was constructed using differential equations. The mutation rate was changed depending on the dose rate. The model also considered competition among cells with various mutation levels. The main parameters of the model were determined using previous experimental data. The parameters of the model were consistent with experimental observations. A dose-rate effect on carcinogenesis became apparent when the relationship between dose rate and mutation rate was linear quadratic or quadratic. The dose-rate effect became prominent when cells with more mutations preferentially compensated for the radiation-induced death of cells with fewer mutations. The phenomenon by which mutated cells gain a competitive advantage over normal cells is known as super-competition. Here, we identified super-competition as a novel mechanism underlying the dose-rate effects on carcinogenesis. The data also confirmed the relevance of the shape of the relationship between dose rate and the mutation rate. Thus, this study provides new evidence for the mechanism underlying the dose-rate effect, which is important for predicting the cancer-related risks of low-dose-rate irradiation.

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超级竞争作为辐射致癌剂量率效应的新机制:一个数学模型研究。
来自动物实验的数据表明,如果剂量率降低,即使累积剂量不变(即剂量率效应),与辐射有关的癌症风险也会降低;然而,其潜在机制尚不清楚。为了探索实验大鼠乳腺癌发生过程中观察到的剂量率效应的潜在因素,我们建立了一个数学模型来解释癌变过程中的细胞动力学,然后检验该模型是否能预测癌症发病率。利用微分方程建立了辐射诱导细胞死亡和突变的多阶段癌变数学模型。突变率随剂量率而变化。该模型还考虑了不同突变水平的细胞之间的竞争。模型的主要参数是根据之前的实验数据确定的。模型参数与实验观测值基本一致。当剂量率与突变率呈线性二次或二次关系时,致癌作用的剂量率效应就变得明显。当突变较多的细胞优先补偿突变较少的细胞因辐射引起的死亡时,剂量率效应变得突出。突变细胞比正常细胞获得竞争优势的现象被称为超级竞争。在这里,我们发现超级竞争是一种潜在的致癌剂量率效应的新机制。数据还证实了剂量率和突变率之间关系的形状的相关性。因此,本研究为剂量率效应的机制提供了新的证据,对预测低剂量率辐照的癌症相关风险具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiation research
Radiation research 医学-核医学
CiteScore
5.10
自引率
8.80%
发文量
179
审稿时长
1 months
期刊介绍: Radiation Research publishes original articles dealing with radiation effects and related subjects in the areas of physics, chemistry, biology and medicine, including epidemiology and translational research. The term radiation is used in its broadest sense and includes specifically ionizing radiation and ultraviolet, visible and infrared light as well as microwaves, ultrasound and heat. Effects may be physical, chemical or biological. Related subjects include (but are not limited to) dosimetry methods and instrumentation, isotope techniques and studies with chemical agents contributing to the understanding of radiation effects.
期刊最新文献
Contribution of Nuclear Fragmentation to Dose and RBE in Carbon-Ion Radiotherapy. Comparison of Acute and Protracted Gamma Irradiation Effects During Perinatal Development in Beagle Dogs. Super-competition as a Novel Mechanism of the Dose-rate Effect in Radiation Carcinogenesis: A Mathematical Model Study. Individual Sensitivity for Radiotherapy-related Adverse Tissue Reactions in Patients Treated Twice for Metachronous Cancers. Analysis of Departures from Linearity in the Dose Response for Japanese Atomic Bomb Survivor Solid Cancer Mortality and Cancer Incidence Data and Assessment of Low-Dose Extrapolation Factors.
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