Evidence map›Paper›PMID 32225023›Full record

ReviewCancers2020

Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations.

Konstantinos P Chatzipapas, Panagiotis Papadimitroulas, Dimitris Emfietzoglou, Spyridon A Kalospyros, Megumi Hada, Alexandros G Georgakilas, George C Kagadis

Abstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Review
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  11. Review
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  19. Radiation-induced liver disease: beyond DNA damage.Cell cycle (Georgetown, Tex.) · 2023
    Review
  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

7 authors.

Konstantinos P Chatzipapas3dmi Research Group, Department of Medical Physics, School of Medicine, University of Patras, 26504 Rion, Greece.ORCID 0000-0003-4006-9304
Panagiotis PapadimitroulasBioemission Technology Solutions (BIOEMTECH), 11472 Athens, Greece.
Dimitris EmfietzoglouDepartment of Medical Physics, School of Medicine, University of Ioannina, 45500 Ioannina, Greece.
Spyridon A KalospyrosDNA Damage Laboratory, Department of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Athens, Greece.
Megumi HadaRadiation Institute for Science & Engineering, Prairie View A&M University, Prairie View, TX 77446, USA.ORCID 0000-0002-8523-9111
Alexandros G GeorgakilasDNA Damage Laboratory, Department of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), 15780 Athens, Greece.ORCID 0000-0002-5971-0010
George C Kagadis3dmi Research Group, Department of Medical Physics, School of Medicine, University of Patras, 26504 Rion, Greece.ORCID 0000-0002-6983-2863

Funding

European Social Fund MIS-5000432European Space Agency 4000126645/19/NL/BWH2020 Marie Skłodowska-Curie Actions 872735
6 · The paper itself

Abstract

Ionizing radiation is a common tool in medical procedures. Monte Carlo (MC) techniques are widely used when dosimetry is the matter of investigation. The scientific community has invested, over the last 20 years, a lot of effort into improving the knowledge of radiation biology. The present article aims to summarize the understanding of the field of DNA damage response (DDR) to ionizing radiation by providing an overview on MC simulation studies that try to explain several aspects of radiation biology. The need for accurate techniques for the quantification of DNA damage is crucial, as it becomes a clinical need to evaluate the outcome of various applications including both low- and high-energy radiation medical procedures. Understanding DNA repair processes would improve radiation therapy procedures. Monte Carlo simulations are a promising tool in radiobiology studies, as there are clear prospects for more advanced tools that could be used in multidisciplinary studies, in the fields of physics, medicine, biology and chemistry. Still, lot of effort is needed to evolve MC simulation tools and apply them in multiscale studies starting from small DNA segments and reaching a population of cells.

Indexed as

biological response.complex DNA damageionizing radiationMonte Carlo methodnanoscale simulationsradiobiology

Identifiers

PMID32225023
PMCPMC7226293

What OpenQuestion holds

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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.