Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA. (January 2023)
- Record Type:
- Journal Article
- Title:
- Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA. (January 2023)
- Main Title:
- Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA
- Authors:
- Sakata, Dousatsu
Hirayama, Ryoichi
Shin, Wook-Geun
Belli, Mauro
Tabocchini, Maria A.
Stewart, Robert D.
Belov, Oleg
Bernal, Mario A.
Bordage, Marie-Claude
Brown, Jeremy M.C.
Dordevic, Milos
Emfietzoglou, Dimitris
Francis, Ziad
Guatelli, Susanna
Inaniwa, Taku
Ivanchenko, Vladimir
Karamitros, Mathieu
Kyriakou, Ioanna
Lampe, Nathanael
Li, Zhuxin
Meylan, Sylvain
Michelet, Claire
Nieminen, Petteri
Perrot, Yann
Petrovic, Ivan
Ramos-Mendez, Jose
Ristic-Fira, Aleksandra
Santin, Giovanni
Schuemann, Jan
Tran, Hoang N.
Villagrasa, Carmen
Incerti, Sebastien
… (more) - Abstract:
- 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. Highlights: We developed a Geant4-DNA application toAbstract: 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. Highlights: We developed a Geant4-DNA application to reproduce cell survival of V79 cells. The application reproduced DNA rejoining and cell survival of V79. This is the first application for cell survival prediction with DNA simulations. … (more)
- Is Part Of:
- Physica medica. Volume 105(2023)
- Journal:
- Physica medica
- Issue:
- Volume 105(2023)
- Issue Display:
- Volume 105, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 105
- Issue:
- 2023
- Issue Sort Value:
- 2023-0105-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-01
- Subjects:
- Geant4-DNA -- Monte Carlo simulation -- DNA damage -- Cell survival
Medical physics -- Periodicals
Biophysics -- Periodicals
Biophysics -- Periodicals
Imagerie médicale -- Périodiques
Radiothérapie -- Périodiques
Rayons X -- Sécurité -- Mesures -- Périodiques
Physique -- Périodiques
Médecine -- Périodiques
610.153 - Journal URLs:
- http://www.sciencedirect.com/science/journal/11201797 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/11201797 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/11201797 ↗
http://www.elsevier.com/journals ↗
http://www.physicamedica.com ↗ - DOI:
- 10.1016/j.ejmp.2022.11.012 ↗
- Languages:
- English
- ISSNs:
- 1120-1797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6475.070000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25641.xml