Literature DB >> 27652826

Radiation track, DNA damage and response-a review.

H Nikjoo1, D Emfietzoglou, T Liamsuwan, R Taleei, D Liljequist, S Uehara.   

Abstract

The purpose of this paper has been to review the current status and progress of the field of radiation biophysics, and draw attention to the fact that physics, in general, and radiation physics in particular, with the aid of mathematical modeling, can help elucidate biological mechanisms and cancer therapies. We hypothesize that concepts of condensed-matter physics along with the new genomic knowledge and technologies and mechanistic mathematical modeling in conjunction with advances in experimental DNA (Deoxyrinonucleic acid molecule) repair and cell signaling have now provided us with unprecedented opportunities in radiation biophysics to address problems in targeted cancer therapy, and genetic risk estimation in humans. Obviously, one is not dealing with 'low-hanging fruit', but it will be a major scientific achievement if it becomes possible to state, in another decade or so, that we can link mechanistically the stages between the initial radiation-induced DNA damage; in particular, at doses of radiation less than 2 Gy and with structural changes in genomic DNA as a precursor to cell inactivation and/or mutations leading to genetic diseases. The paper presents recent development in the physics of radiation track structure contained in the computer code system KURBUC, in particular for low-energy electrons in the condensed phase of water for which we provide a comprehensive discussion of the dielectric response function approach. The state-of-the-art in the simulation of proton and carbon ion tracks in the Bragg peak region is also presented. The paper presents a critical discussion of the models used for elastic scattering, and the validity of the trajectory approach in low-electron transport. Brief discussions of mechanistic and quantitative aspects of microdosimetry, DNA damage and DNA repair are also included as developed by the authors' work.

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Year:  2016        PMID: 27652826     DOI: 10.1088/0034-4885/79/11/116601

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  42 in total

1.  Systematic microdosimetric data for protons of therapeutic energies calculated with Geant4-DNA.

Authors:  Oleg N Vassiliev; Christine B Peterson; Wenhua Cao; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2019-11-04       Impact factor: 3.609

2.  Monte Carlo single-cell dosimetry using Geant4-DNA: the effects of cell nucleus displacement and rotation on cellular S values.

Authors:  Ramak Salim; Payvand Taherparvar
Journal:  Radiat Environ Biophys       Date:  2019-03-29       Impact factor: 1.925

3.  Using the Proton Energy Spectrum and Microdosimetry to Model Proton Relative Biological Effectiveness.

Authors:  Mark Newpower; Darshana Patel; Lawrence Bronk; Fada Guan; Pankaj Chaudhary; Stephen J McMahon; Kevin M Prise; Giuseppe Schettino; David R Grosshans; Radhe Mohan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-02-05       Impact factor: 7.038

4.  Independent reaction times method in Geant4-DNA: Implementation and performance.

Authors:  José Ramos-Méndez; Wook-Geun Shin; Mathieu Karamitros; Jorge Domínguez-Kondo; Ngoc Hoang Tran; Sebastien Incerti; Carmen Villagrasa; Yann Perrot; Václav Štěpán; Shogo Okada; Eduardo Moreno-Barbosa; Bruce Faddegon
Journal:  Med Phys       Date:  2020-10-15       Impact factor: 4.071

5.  A parameter sensitivity study for simulating DNA damage after proton irradiation using TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Jose Ramos-Mendez; Stephen J McMahon; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Phys Med Biol       Date:  2020-04-23       Impact factor: 3.609

6.  The influence of Geant4-DNA toolkit parameters on electron microdosimetric track structure.

Authors:  Yidi Wang; Zhanpeng Li; Shuyuan Zhang; Wei Tang; Xiang Li; Dandan Chen; Liang Sun
Journal:  J Radiat Res       Date:  2020-01-23       Impact factor: 2.724

7.  Investigation on the correlation between energy deposition and clustered DNA damage induced by low-energy electrons.

Authors:  Wei Liu; Zhenyu Tan; Liming Zhang; Christophe Champion
Journal:  Radiat Environ Biophys       Date:  2018-01-15       Impact factor: 1.925

8.  Cellular Response to Proton Irradiation: A Simulation Study with TOPAS-nBio.

Authors:  Hongyu Zhu; Aimee L McNamara; Stephen J McMahon; Jose Ramos-Mendez; Nicholas T Henthorn; Bruce Faddegon; Kathryn D Held; Joseph Perl; Junli Li; Harald Paganetti; Jan Schuemann
Journal:  Radiat Res       Date:  2020-07-08       Impact factor: 2.841

9.  A new formalism for modelling parameters α and β of the linear-quadratic model of cell survival for hadron therapy.

Authors:  Oleg N Vassiliev; David R Grosshans; Radhe Mohan
Journal:  Phys Med Biol       Date:  2017-10-03       Impact factor: 3.609

10.  Intercomparison of dose enhancement ratio and secondary electron spectra for gold nanoparticles irradiated by X-rays calculated using multiple Monte Carlo simulation codes.

Authors:  W B Li; A Belchior; M Beuve; Y Z Chen; S Di Maria; W Friedland; B Gervais; B Heide; N Hocine; A Ipatov; A P Klapproth; C Y Li; J L Li; G Multhoff; F Poignant; R Qiu; H Rabus; B Rudek; J Schuemann; S Stangl; E Testa; C Villagrasa; W Z Xie; Y B Zhang
Journal:  Phys Med       Date:  2020-01-06       Impact factor: 2.685

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