Evidence map›Paper›PMID 25504419›Full record

ArticlePLoS computational biology2014

The pharmacodynamics of the p53-Mdm2 targeting drug Nutlin: the role of gene-switching noise.

Krzysztof Puszynski, Alberto Gandolfi, Alberto d'Onofrio

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  12. Promoter Hypermethylation of the ATM Gene as a Novel Biomarker for Breast CancerAsian Pacific journal of cancer prevention : APJCP · 2017
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Krzysztof PuszynskiSilesian University of Technology, Institute of Automatic Control, Gliwice, Poland.
Alberto GandolfiIstituto di Analisi dei Sistemi ed Informatica "A. Ruberti" - CNR, Rome, Italy.
Alberto d'OnofrioDepartment of Experimental Oncology, European Institute of Oncology, Milan, Italy; International Prevention Research Institute, Lyon, France.
International Prevention Research Institute · FRIstituto di Analisi dei Sistemi ed Informatica Antonio Ruberti · ITSilesian University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we investigate, by means of a computational stochastic model, how tumor cells with wild-type p53 gene respond to the drug Nutlin, an agent that interferes with the Mdm2-mediated p53 regulation. In particular, we show how the stochastic gene-switching controlled by p53 can explain experimental dose-response curves, i.e., the observed inter-cell variability of the cell viability under Nutlin action. The proposed model describes in some detail the regulation network of p53, including the negative feedback loop mediated by Mdm2 and the positive loop mediated by PTEN, as well as the reversible inhibition of Mdm2 caused by Nutlin binding. The fate of the individual cell is assumed to be decided by the rising of nuclear-phosphorylated p53 over a certain threshold. We also performed in silico experiments to evaluate the dose-response curve after a single drug dose delivered in mice, or after its fractionated administration. Our results suggest that dose-splitting may be ineffective at low doses and effective at high doses. This complex behavior can be due to the interplay among the existence of a threshold on the p53 level for its cell activity, the nonlinearity of the relationship between the bolus dose and the peak of active p53, and the relatively fast elimination of the drug.

Indexed as

Models, BiologicalAlgorithmsAnimalsCell Line, TumorComputational BiologyDrug Delivery SystemsHCT116 CellsHumansImidazolesMicePiperazinesProto-Oncogene Proteins c-mdm2Signal TransductionTumor Suppressor Protein p53ImidazolesMDM2 protein, humannutlin 1PiperazinesProto-Oncogene Proteins c-mdm2Tumor Suppressor Protein p53

Identifiers

PMID25504419
PMCPMC4263360
OpenAlexW2026779704

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.