Experimental validation in a neutron exposure frame of the MINAS TIRITH for cell damage simulation.

In the domains of medicine and space exploration, refining risk assessment models for protecting healthy tissue from ionizing radiation is crucial. Understanding radiation-induced effects requires biological experimentations at the cellular population level and the cellular scale modeling using Monte Carlo track structure codes. We present MINAS TIRITH, a tool using Geant4-DNA Monte Carlo-generated databases to study DNA damage distribution at the cell population scale. It introduces a DNA damage location module and proposes a method to convert double-strand breaks (DSB) into DNA Damage Response foci. We evaluate damage location precision and DSB-foci conversion parameters. MINAS TIRITH's accuracy is validated againstγ-H2AX foci distribution from cell population exposed to monoenergetic neutron beams (2.5 or 15.1 MeV) under different configurations, yielding mixed radiation fields. Strong agreement between simulation and experimental results was found demonstrating MINAS TIRITH's predictive precision in radiation-induced DNA damage topology. Additionally, modeling intercellular damage variability within a population subjected to a specific macroscopic dose identifies subpopulations, enhancing realistic fate models. This approach advances our understanding of radiation-induced effects on cellular systems for risk assessment improvement.

MINAS TIRITH: a new tool for simulating radiation-induced DNA damage at the cell population level.

Objective. The mechanisms of radiation-induced DNA damage can be understood via the fundamental acquisition of knowledge through a combination of experiments and modeling. Currently, most biological experiments are performed by irradiating an entire cell population, whereas modeling of radiation-induced effects is usually performed via Monte Carlo simulations with track structure codes coupled to realistic DNA geometries of a single-cell nucleus. However, the difference in scale between the two methods hinders a direct comparison because the dose distribution in the cell population is not necessarily uniform owing to the stochastic nature of the energy deposition. Thus, this study proposed the MINAS TIRITH tool to model the distribution of radiation-induced DNA damage in a cell population.Approach. The proposed method is based on precomputed databases of microdosimetric parameters and DNA damage distributions generated using the Geant4-DNA Monte Carlo Toolkit. First, a specific energyzwas assigned to each cell of an irradiated population for a particular absorbed doseDabs,following microdosimetric formalism. Then, each cell was assigned a realistic number of DNA damage events according to the specific energyz,respecting the stochastic character of its occurrence.Main results. This study validated the MINAS TIRITH tool by comparing its results with those obtained using the Geant4-DNA track structure code and a Geant4-DNA based simulation chain for DNA damage calculation. The different elements of comparison indicated consistency between MINAS TIRITH and the Monte Carlo simulation in case of the dose distribution in the population and the calculation of the amount of DNA damage.Significance. MINAS TIRITH is a new approach for the calculation of radiation-induced DNA damage at the cell population level that facilitates reasonable simulation times compared to those obtained with track structure codes. Moreover, this tool enables a more direct comparison between modeling and biological experimentation.

Influence of chromatin compaction on simulated early radiation-induced DNA damage using Geant4-DNA.

PURPOSE: In this work, we present simulated double-strand breaks (DSBs) obtained for two human cell nucleus geometries. The first cell nucleus represents fibroblasts, filled with DNA molecules in different compaction forms: heterochromatin or euchromatin only. The second one represents an endothelial cell nucleus, either filled with heterochromatin only or with a uniform distribution of 48% of heterochromatin and 52% of euchromatin, obtained from measurements carried out at IRSN. Protons and alpha particles of different energies were used as projectiles. Each cell nucleus model includes a multi-scale description of the DNA target from the molecular level to the whole human genome representation. METHODS: The cell nucleus models were generated using an extended version of the DnaFabric software in which a new model of euchromatin was implemented in addition to the existing model of heterochromatin. Thus, each nucleus model contains the complete human genome (a total of 6 Gbp) in the G0/G1 phase of the cycle, filled with a continuous chromatin fiber per chromosome that can take into account the heterochromatin and the euchromatin compaction. These geometries were then exported to a simulation chain using the Monte Carlo toolkit Geant4-DNA to perform computations of the physical, physicochemical, and chemical stages, in order to evaluate the influence of chromatin compaction on DSB induction and the contribution of direct and indirect damage, as well as DSB complexity. RESULTS: More direct damage and less indirect damage were observed in the heterochromatin than in the euchromatin. Nevertheless, no difference in terms of DSB complexity was observed between those formed in the heterochromatin or the euchromatin models. Yields of DSB/Gy/Gbp show an increase when both heterochromatin and euchromatin models are taken into account, compared to when only heterochromatin is considered. CONCLUSIONS: The results presented indicate that the chromatin compaction decreases DNA damage generated by ionizing radiation and thus, DNA compaction should be considered for the simulation of DNA repair and other cellular outcomes.

Cytogenetic assessment of heterogeneous radiation doses in cancer patients treated with fractionated radiotherapy.

The purpose of this study was to evaluate the in vivo dose-response relation of chromosome aberration formation and distribution in a context of localised and fractionated radiotherapy. Cytogenetic analysis was applied to eight patients, all treated for the same tumour localisation; the same localisation was used to prevent the variability usually observed between patients treated with radiotherapy and to allow the corresponding roles of the size of irradiation field and of the dose rate to be studied. The yield of dicentrics, centric rings and fragments was measured in blood samples taken before treatment, during the course of radiotherapy and up to 6 months after. After the first fraction of radiotherapy, we observed that the whole-body dose estimated from the yield of dicentrics and rings was higher (0.35+/-0.2 Gy) than the calculated equivalent whole-body dose (0.07+/-0.04 Gy). By contrast, the partial-body dose derived from the Qdr (quotient of dicentrics and rings) model was estimated to be 2.2+/-0.3 Gy, which agreed quite well with the dose delivered to the tumour (2.1+/-0.1 Gy). We also found a correlation between the yield of induced chromosome aberrations and the target field size (p = 0.014). U-value analysis showed that the distribution of dicentrics and rings was overdispersed, despite the fractionation of the exposure, and a positive correlation between the U-value and the dose rate was observed (p = 0.017). Overall, these results suggest that the proportion of undamaged lymphocytes could increase with the dose rate.

Monitoring translocations by M-FISH and three-color FISH painting techniques: a study of two radiotherapy patients.

PURPOSE: To compare translocation rate using either M-FISH or FISH-3 in two patients treated for head and neck cancer, with a view to retrospective dosimetry. MATERIALS AND METHODS: Translocation analysis was performed on peripheral blood lymphocyte cultures from blood samples taken at different times during the radiotherapy (0 Gy, 12 Gy and 50 Gy) and a few months after the end of the treatment (follow-up). RESULTS: Estimated translocation yield varied according to the FISH technique used. At 50 Gy and follow-up points, the translocation yields were higher with FISH-3 than with M-FISH. This difference can be attributed to three events. First, an increase in complex aberrations was observed for 50 Gy and follow-up points compared with 0 Gy and 12 Gy points. Second, at the end of treatment for patient A, involvement of chromosomes 2, 4, 12 in translocations was less than expected according to the Lucas formula. Third, a clone bearing a translocation involving a FISH-3 painted chromosome was detected. CONCLUSIONS: More translocations were detected with M-FISH than with FISH-3, and so M-FISH is expected to improve the accuracy of chromosome aberration analyses in some situations.