Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA

Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA

Sakata, Dousatsu (National Institutes for Quantum Science and Technology; Osaka University)
Hirayama, Ryoichi (National Institutes for Quantum Science and Technology)
Shin, Wook Geun (Seoul National University Hospital)
Belli, Mauro (Independent researcher)
Tabocchini, Maria A. (Istituto Nazionale di Fisica Nucleare)
Stewart, Robert D. (University of Washington)
Brown, J.M.C. (TU Delft RST/Medical Physics & Technology; Swinburne University of Technology; University of Wollongong)
Kyriakou, G.I. (TU Delft Electrical Engineering, Mathematics and Computer Science; University of Ioannina)
Tran, Hoang N. (Université de Bordeaux)

Electrical Engineering, Mathematics and Computer Science

2023

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.

Cell survival
DNA damage
Geant4-DNA
Monte Carlo simulation

http://resolver.tudelft.nl/uuid:4c5b62f1-f61b-4170-84ae-885ee061bcbe

https://doi.org/10.1016/j.ejmp.2022.11.012

1120-1797

Physica Medica: an international journal devoted to the applications of physics to medicine and biology, 105

Institutional Repository

journal article

© 2023 Dousatsu Sakata, Ryoichi Hirayama, Wook Geun Shin, Mauro Belli, Maria A. Tabocchini, Robert D. Stewart, J.M.C. Brown, G.I. Kyriakou, Hoang N. Tran, More Authors