Evidence map›Paper›PMID 24244120›Full record

ArticlePLoS computational biology2013

In silico analysis of cell cycle synchronisation effects in radiotherapy of tumour spheroids.

Harald Kempf, Haralampos Hatzikirou, Marcus Bleicher, Michael Meyer-Hermann

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
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  14. Review
  15. Modeling of the metabolic energy dissipation for restricted tumor growth.Journal of bioenergetics and biomembranes · 2017
    Article
  16. Article
  17. Clinical Relevance of Steroid Use in Neuro-Oncology.Current neurology and neuroscience reports · 2017
    Review
  18. Article
  19. Corticosteroids compromise survival in glioblastoma.Brain : a journal of neurology · 2016
    Article
  20. Agent-Based Modeling of Cancer Stem Cell Driven Solid Tumor Growth.Methods in molecular biology (Clifton, N.J.) · 2016
    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

4 authors at 3 institutions in 1 country.

Harald KempfDepartment of Systems Immunology, Helmholtz Centre for Infection Research, Braunschweig, Germany ; Frankfurt Institute for Advanced Studies, Frankfurt, Germany.
Haralampos Hatzikirou
Marcus Bleicher
Michael Meyer-Hermann
Helmholtz Centre for Infection Research · DEFrankfurt Institute for Advanced Studies · DETU Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour cells show a varying susceptibility to radiation damage as a function of the current cell cycle phase. While this sensitivity is averaged out in an unperturbed tumour due to unsynchronised cell cycle progression, external stimuli such as radiation or drug doses can induce a resynchronisation of the cell cycle and consequently induce a collective development of radiosensitivity in tumours. Although this effect has been regularly described in experiments it is currently not exploited in clinical practice and thus a large potential for optimisation is missed. We present an agent-based model for three-dimensional tumour spheroid growth which has been combined with an irradiation damage and kinetics model. We predict the dynamic response of the overall tumour radiosensitivity to delivered radiation doses and describe corresponding time windows of increased or decreased radiation sensitivity. The degree of cell cycle resynchronisation in response to radiation delivery was identified as a main determinant of the transient periods of low and high radiosensitivity enhancement. A range of selected clinical fractionation schemes is examined and new triggered schedules are tested which aim to maximise the effect of the radiation-induced sensitivity enhancement. We find that the cell cycle resynchronisation can yield a strong increase in therapy effectiveness, if employed correctly. While the individual timing of sensitive periods will depend on the exact cell and radiation types, enhancement is a universal effect which is present in every tumour and accordingly should be the target of experimental investigation. Experimental observables which can be assessed non-invasively and with high spatio-temporal resolution have to be connected to the radiosensitivity enhancement in order to allow for a possible tumour-specific design of highly efficient treatment schedules based on induced cell cycle synchronisation.

Indexed as

Models, BiologicalRadiotherapyAnimalsCell CycleCell Line, TumorComputational BiologyComputer SimulationMiceSpheroids, CellularTumor Cells, Cultured

Identifiers

PMID24244120
PMCPMC3828142
OpenAlexW2043186407

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.