Evidence map›Paper›PMID 37798314›Full record

ArticleScientific reports2023

Game-theoretical description of the go-or-grow dichotomy in tumor development for various settings and parameter constellations.

Shalu Dwivedi, Christina Glock, Sebastian Germerodt, Heiko Stark, Stefan Schuster

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Shalu DwivediDepartment of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany.
Christina GlockDepartment of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany.
Sebastian GermerodtDepartment of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany.
Heiko StarkDepartment of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany.
Stefan SchusterDepartment of Bioinformatics, Matthias Schleiden Institute, Friedrich Schiller University, Ernst-Abbe-Platz 2, 07743, Jena, Germany. stefan.schu@uni-jena.de.
Friedrich Schiller University Jena · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A medically important feature of several types of tumors is their ability to "decide" between staying at a primary site in the body or leaving it and forming metastases. The present theoretical study aims to provide a better understanding of the ultimate reasons for this so-called "go-or-grow" dichotomy. To that end, we use game theory, which has proven to be useful in analyzing the competition between tumors and healthy tissues or among different tumor cells. We begin by determining the game types in the Basanta-Hatzikirou-Deutsch model, depending on the parameter values. Thereafter, we suggest and analyze five modified variants of the model. For example, in the basic model, the deadlock game, Prisoner's Dilemma, and hawk-dove game can occur. The modified versions lead to several additional game types, such as battle of the sexes, route-choice, and stag-hunt games. For some game types, all cells are predicted to stay on their original site ("grow phenotype"), while for other types, only a certain fraction stay and the other cells migrate away ("go phenotype"). If the nutrient supply at a distant site is high, all the cells are predicted to go. We discuss our predictions in terms of the pros and cons of caloric restriction and limitations of the supply of vitamins or methionine. Our results may help devise treatments to prevent metastasis.

Indexed as

Cooperative BehaviorModels, TheoreticalGame TheoryPhenotypePrisoner Dilemma

Identifiers

PMID37798314
PMCPMC10555990
OpenAlexW4387374272

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.