Evidence map›Paper›PMID 28536438›Full record

ArticleScientific reports2017

Optimizing radiotherapy protocols using computer automata to model tumour cell death as a function of oxygen diffusion processes.

Perrine Paul-Gilloteaux, Vincent Potiron, Grégory Delpon, Stéphane Supiot, Sophie Chiavassa, François Paris, Sylvain V Costes

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Improved dose compensation model owing to short irradiation interruption time for hypoxic tumor using a microdosimetric kinetic model.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Article
  3. Biological dosimetric impact of dose-delivery time for hypoxic tumour with modified microdosimetric kinetic model.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Article
  4. Article
  5. Article
  6. Glioblastoma Stem-Frontiers in oncology · 2019
    Review
  7. Profiles of Radioresistance Mechanisms in Prostate Cancer.Critical reviews in oncogenesis · 2018
    Review
  8. Review
  9. 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.

Perrine Paul-GilloteauxStructure Fédérative de Recherche François Bonamy, Micropicell, CNRS, INSERM, Université de Nantes, Nantes, France.ORCID 0000-0003-3903-4841
Vincent PotironCRCINA, INSERM, CNRS, Université de Nantes, Nantes, France.ORCID 0000-0002-3693-6578
Grégory DelponCRCINA, INSERM, CNRS, Université de Nantes, Nantes, France.
Stéphane SupiotCRCINA, INSERM, CNRS, Université de Nantes, Nantes, France.
Sophie ChiavassaCRCINA, INSERM, CNRS, Université de Nantes, Nantes, France.
François ParisCRCINA, INSERM, CNRS, Université de Nantes, Nantes, France. francois.paris@univ-nantes.fr.
Sylvain V CostesBiosciences, Lawrence Berkeley National Laboratory, MS:977, Berkeley, 94720, CA, USA. sylvain.v.costes@nasa.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of hypofractionation is gaining momentum in radiation oncology centres, enabled by recent advances in radiotherapy apparatus. The gain of efficacy of this innovative treatment must be defined. We present a computer model based on translational murine data for in silico testing and optimization of various radiotherapy protocols with respect to tumour resistance and the microenvironment heterogeneity. This model combines automata approaches with image processing algorithms to simulate the cellular response of tumours exposed to ionizing radiation, modelling the alteration of oxygen permeabilization in blood vessels against repeated doses, and introducing mitotic catastrophe (as opposed to arbitrary delayed cell-death) as a means of modelling radiation-induced cell death. Published data describing cell death in vitro as well as tumour oxygenation in vivo are used to inform parameters. Our model is validated by comparing simulations to in vivo data obtained from the radiation treatment of mice transplanted with human prostate tumours. We then predict the efficacy of untested hypofractionation protocols, hypothesizing that tumour control can be optimized by adjusting daily radiation dosage as a function of the degree of hypoxia in the tumour environment. Further biological refinement of this tool will permit the rapid development of more sophisticated strategies for radiotherapy.

Indexed as

Xenograft Model Antitumor AssaysAlgorithmsAnimalsCell DeathComputer SimulationDiffusionHumansMaleMiceModels, BiologicalOxygenPC-3 CellsProstatic NeoplasmsRadiotherapyTumor BurdenOxygen

Identifiers

PMID28536438
PMCPMC5442104

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Registered trials

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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.