Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA
Dousatsu Sakata (National Institutes for Quantum Science and Technology, Osaka University)
Ryoichi Hirayama (National Institutes for Quantum Science and Technology)
Wook Geun Shin (Seoul National University Hospital)
Mauro Belli (Independent researcher)
Maria A. Tabocchini (Istituto Nazionale di Fisica Nucleare)
Robert D. Stewart (University of Washington)
J.M.C. Brown (Swinburne University of Technology, TU Delft - RST/Medical Physics & Technology, University of Wollongong)
Ioanna Kyriakou (University of Ioannina)
Hoang N. Tran (Université de Bordeaux)
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Abstract
Purpose: Track structure Monte Carlo (MC) codes have achieved successful outcomes in the quantitative investigation of radiation-induced initial DNA damage. The aim of the present study is to extend a Geant4-DNA radiobiological application by incorporating a feature allowing for the prediction of DNA rejoining kinetics and corresponding cell surviving fraction along time after irradiation, for a Chinese hamster V79 cell line, which is one of the most popular and widely investigated cell lines in radiobiology. Methods: We implemented the Two-Lesion Kinetics (TLK) model, originally proposed by Stewart, which allows for simulations to calculate residual DNA damage and surviving fraction along time via the number of initial DNA damage and its complexity as inputs. Results: By optimizing the model parameters of the TLK model in accordance to the experimental data on V79, we were able to predict both DNA rejoining kinetics at low linear energy transfers (LET) and cell surviving fraction. Conclusion: This is the first study to demonstrate the implementation of both the cell surviving fraction and the DNA rejoining kinetics with the estimated initial DNA damage, in a realistic cell geometrical model simulated by full track structure MC simulations at DNA level and for various LET. These simulation and model make the link between mechanistic physical/chemical damage processes and these two specific biological endpoints.
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