ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2023
Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA.
Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- DNA damage complexity as a predictor of cell survival: a microscopic Monte Carlo-based modeling framework for photon, proton and carbon ion irradiation.Physics in medicine and biology · 2026Article
- A GPU-based Monte Carlo model for water radiolysis under ultra-high dose rate irradiation: Development and validation with MPEXS2.1-DNA.Medical physics · 2025Article
- Quantifying DNA strand breaks from targeted alpha emittersEJNMMI physics · 2025Article
- TOPAS-Tissue: A Framework for the Simulation of the Biological Response to Ionizing Radiation at the Multi-Cellular Level.International journal of molecular sciences · 2024Article
- Simulation of DNA damage using Geant4-DNA: an overview of the "molecularDNA" example application.Precision radiation oncology · 2023Article
- Article
- Geant4-deoxyribonucleic Acid Simulation of Radiation-induced Deoxyribonucleic Acid Damage in a Human Cancer Cell Line.Journal of medical physicsArticle
Corrections and comments
- Erratum issued
Authors and funding
32 authors.
Funding
Abstract
purposeTrack 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.
methodsWe 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.
resultsBy 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.
conclusionThis 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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