Evidence map›Paper›PMID 27624453›Full record

ArticleScientific reports2016

Mechanistic Modelling of DNA Repair and Cellular Survival Following Radiation-Induced DNA Damage.

Stephen J McMahon, Jan Schuemann, Harald Paganetti, Kevin M Prise

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  12. 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
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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

4 authors.

Stephen J McMahonDepartment of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA 02114, USA.
Jan SchuemannDepartment of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA 02114, USA.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital, 30 Fruit St, Boston, MA 02114, USA.
Kevin M PriseCentre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, BT9 7AE, N. Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterising and predicting the effects of ionising radiation on cells remains challenging, with the lack of robust models of the underlying mechanism of radiation responses providing a significant limitation to the development of personalised radiotherapy. In this paper we present a mechanistic model of cellular response to radiation that incorporates the kinetics of different DNA repair processes, the spatial distribution of double strand breaks and the resulting probability and severity of misrepair. This model enables predictions to be made of a range of key biological endpoints (DNA repair kinetics, chromosome aberration and mutation formation, survival) across a range of cell types based on a set of 11 mechanistic fitting parameters that are common across all cells. Applying this model to cellular survival showed its capacity to stratify the radiosensitivity of cells based on aspects of their phenotype and experimental conditions such as cell cycle phase and plating delay (correlation between modelled and observed Mean Inactivation Doses R(2) > 0.9). By explicitly incorporating underlying mechanistic factors, this model can integrate knowledge from a wide range of biological studies to provide robust predictions and may act as a foundation for future calculations of individualised radiosensitivity.

Indexed as

Models, TheoreticalCell SurvivalChromosome AberrationsDNA Breaks, Double-StrandedDNA DamageDNA RepairHumansMutationRadiation, IonizingRadiation Tolerance

Identifiers

PMID27624453
PMCPMC5022028

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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.