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TOPAS-Tissue: A Framework for the Simulation of the Biological Response to Ionizing Radiation at the Multi-Cellular
Omar Rodrigo García García1, Ramon Ortiz2, Eduardo Moreno-Barbosa1
1Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla 72000, Mexico.
International Journal of Molecular Sciences
|September 28, 2024
Summary
TOPAS-Tissue simulates the biological effects of radiation on cell populations by coupling Monte Carlo and agent-based models. This framework accurately predicts cell survival curves, advancing radiation biology research.
Area of Science:
- Computational Biology
- Radiation Physics
- Biophysics
Background:
- Simulating cellular response to ionizing radiation requires integrating physical and biological processes across multiple scales.
- Existing models often lack the capability to link radiation transport and chemistry with detailed cellular behavior and population dynamics.
Purpose of the Study:
- To develop and validate TOPAS-Tissue, a novel multiscale simulation framework for modeling the biological response of cell populations to ionizing radiation.
- To couple the Monte Carlo (MC) code TOPAS with the agent-based model CompuCell3D for an end-to-end simulation of radiation effects.
Main Methods:
- Coupled TOPAS (with TOPAS-nBio) for track-structure and chemistry simulation with CompuCell3D for agent-based cell modeling.
- Simulated a 2-D PC-3 cell culture clonogenic survival assay irradiated with MV X-rays (0-8 Gy).
- Incorporated models for DNA double-strand break (DSB) induction, repair (two-lesion kinetic model), and cell response (p53 pulse model).
Main Results:
- The simulated cell survival curve exhibited a linear-quadratic dose response.
- Fitted coefficients (α = 0.280 ± 0.025/Gy, β = 0.042 ± 0.006/Gy²) closely matched published experimental data.
- Demonstrated successful end-to-end simulation from irradiation and DNA damage to cell fate in a population.
Conclusions:
- TOPAS-Tissue provides an extensible, all-in-one simulation framework for multiscale biological response to radiation.
- The framework successfully integrates CompuCell3D and TOPAS, enabling comprehensive simulations of radiation effects on cell populations.
- This approach advances the understanding of radiation biology by linking physical interactions to cellular outcomes.

