Evidence map›Paper›PMID 33247225›Full record

ArticleScientific reports2020

Fully integrated Monte Carlo simulation for evaluating radiation induced DNA damage and subsequent repair using Geant4-DNA.

Dousatsu Sakata, Oleg Belov, Marie-Claude Bordage, Dimitris Emfietzoglou, Susanna Guatelli, Taku Inaniwa, Vladimir Ivanchenko, Mathieu Karamitros, Ioanna Kyriakou, Nathanael Lampe and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Monte Carlo methods to assess biological response to radiation in peripheral organs and in critical organs near the target.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Review
  15. Article
  16. Prediction of DNA rejoining kinetics and cell survival after proton irradiation for V79 cells using Geant4-DNA.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
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 5 countries.

Dousatsu SakataDepartment of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST, Chiba, Japan. sakata.dousatsu@qst.go.jp.
Oleg BelovJoint Institute for Nuclear Research, Dubna, Russia.
Marie-Claude BordageINSERM, UMR 1037, CRCT, Université Paul Sabatier, Toulouse, France.
Dimitris EmfietzoglouMedical Physics Laboratory, Medical School, University of Ioannina, 45110, Ioannina, Greece.
Susanna GuatelliCentre For Medical Radiation Physics, University of Wollongong, Wollongong, Australia.
Taku InaniwaDepartment of Accelerator and Medical Physics, National Institute of Radiological Sciences, QST, Chiba, Japan.
Vladimir IvanchenkoGeant4 Associates International Ltd, Hebden Bridge, UK.
Mathieu KaramitrosUnaffiliated, Bordeaux, France.
Ioanna KyriakouMedical Physics Laboratory, Medical School, University of Ioannina, 45110, Ioannina, Greece.
Nathanael LampeUnaffiliated, Melbourne, Australia.
Ivan PetrovicVinca Institute of Nuclear Science, University of Belgrade, Belgrade, Serbia.
Aleksandra Ristic-FiraVinca Institute of Nuclear Science, University of Belgrade, Belgrade, Serbia.
Wook-Geun ShinUniv. Bordeaux, CNRS, CENBG, UMR 5797, Gradignan, 33170, France.
Sebastien IncertiUniv. Bordeaux, CNRS, CENBG, UMR 5797, Gradignan, 33170, France.
University of Belgrade · RSUniversity of Ioannina · GRInserm · FRJoint Institute for Nuclear Research · RULaboratoire de Physique des deux infinis Bordeaux · FRNational Research Tomsk State University · RUUniversité de Bordeaux · FRUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ionising radiation induced DNA damage and subsequent biological responses to it depend on the radiation's track-structure and its energy loss distribution pattern. To investigate the underlying biological mechanisms involved in such complex system, there is need of predicting biological response by integrated Monte Carlo (MC) simulations across physics, chemistry and biology. Hence, in this work, we have developed an application using the open source Geant4-DNA toolkit to propose a realistic "fully integrated" MC simulation to calculate both early DNA damage and subsequent biological responses with time. We had previously developed an application allowing simulations of radiation induced early DNA damage on a naked cell nucleus model. In the new version presented in this work, we have developed three additional important features: (1) modeling of a realistic cell geometry, (2) inclusion of a biological repair model, (3) refinement of DNA damage parameters for direct damage and indirect damage scoring. The simulation results are validated with experimental data in terms of Single Strand Break (SSB) yields for plasmid and Double Strand Break (DSB) yields for plasmid/human cell. In addition, the yields of indirect DSBs are compatible with the experimental scavengeable damage fraction. The simulation application also demonstrates agreement with experimental data of [Formula: see text]-H2AX yields for gamma ray irradiation. Using this application, it is now possible to predict biological response along time through track-structure MC simulations.

Indexed as

DNA DamageDNA RepairModels, BiologicalComputer SimulationDNADNA Breaks, Double-StrandedGamma RaysHistonesHumansMonte Carlo MethodSoftwareDNAH2AX protein, humanHistones

Identifiers

PMID33247225
PMCPMC7695857
OpenAlexW3109229826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.