Evidence map›Paper›PMID 25097747›Full record

ArticleInterface focus2014

Critical transitions in a game theoretic model of tumour metabolism.

Ardeshir Kianercy, Robert Veltri, Kenneth J Pienta

Open access · hybridAbstract read
In one paragraph

Article in Interface focus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 57 citations in OpenAlex.

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  14. Extinction rates in tumour public goods games.Journal of the Royal Society, Interface · 2017
    Article
  15. Article
  16. Nutrient deprivation-related OXPHOS/glycolysis interconversion via HIF-1α/C-MYC pathway in U251 cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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

3 authors at 2 institutions in 1 country.

Ardeshir KianercyBrady Urological Institute , Johns Hopkins Hospital , Baltimore, MD 21287 , USA.
Robert VeltriBrady Urological Institute , Johns Hopkins Hospital , Baltimore, MD 21287 , USA.
Kenneth J PientaBrady Urological Institute , Johns Hopkins Hospital , Baltimore, MD 21287 , USA.
Johns Hopkins Hospital · USGoogle (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour proliferation is promoted by an intratumoral metabolic symbiosis in which lactate from stromal cells fuels energy generation in the oxygenated domain of the tumour. Furthermore, empirical data show that tumour cells adopt an intermediate metabolic state between lactate respiration and glycolysis. This study models the metabolic symbiosis in the tumour through the formalism of evolutionary game theory. Our game model of metabolic symbiosis in cancer considers two types of tumour cells, hypoxic and oxygenated, while glucose and lactate are considered as the two main sources of energy within the tumour. The model confirms the presence of multiple intermediate stable states and hybrid energy strategies in the tumour. It predicts that nonlinear interaction between two subpopulations leads to tumour metabolic critical transitions and that tumours can obtain different intermediate states between glycolysis and respiration which can be regulated by the genomic mutation rate. The model can apply in the epithelial-stromal metabolic decoupling therapy.

Indexed as

epithelial–stromal metabolic decouplinggame theorylactate shuttlemetabolic symbiosis in cancertumour metabolismWarburg effect

Identifiers

PMID25097747
PMCPMC4071509
OpenAlexW2157415921

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.