Evidence map›Paper›PMID 23536240›Full record

ArticleJournal of mathematical biology2014

A general reaction-diffusion model of acidity in cancer invasion.

Jessica B McGillen, Eamonn A Gaffney, Natasha K Martin, Philip K Maini

Abstract read
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In one paragraph

Article in Journal of mathematical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-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

6 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. Article
  3. Travelling-wave analysis of a model of tumour invasion with degenerate, cross-dependent diffusion.Proceedings. Mathematical, physical, and engineering sciences · 2021
    Article
  4. Article
  5. Article
  6. 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 2 institutions in 1 country.

Jessica B McGillenCentre for Mathematical Biology, Mathematical Institute, Oxford University, 24-29 St Giles', Oxford, OX1 3LB, UK.
Eamonn A Gaffney
Natasha K Martin
Philip K Maini
University of Oxford · GBUniversity of London · GB

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Subproject OneU56CA113004 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DEISBOECK, THOMAS S · 2004 to 2009
$3.4M
NCI NIH HHS U54CA143970NCI NIH HHS U56CA113004
6 · The paper itself

Abstract

We model the metabolism and behaviour of a developing cancer tumour in the context of its microenvironment, with the aim of elucidating the consequences of altered energy metabolism. Of particular interest is the Warburg Effect, a widespread preference in tumours for cytosolic glycolysis rather than oxidative phosphorylation for glucose breakdown, as yet incompletely understood. We examine a candidate explanation for the prevalence of the Warburg Effect in tumours, the acid-mediated invasion hypothesis, by generalising a canonical non-linear reaction-diffusion model of acid-mediated tumour invasion to consider additional biological features of potential importance. We apply both numerical methods and a non-standard asymptotic analysis in a travelling wave framework to obtain an explicit understanding of the range of tumour behaviours produced by the model and how fundamental parameters govern the speed and shape of invading tumour waves. Comparison with conclusions drawn under the original system--a special case of our generalised system--allows us to comment on the structural stability and predictive power of the modelling framework.

Indexed as

Models, BiologicalComputer SimulationEnergy MetabolismGlycolysisHumansHydrogen-Ion ConcentrationNeoplasms

Identifiers

PMID23536240
OpenAlexW2049003789

What OpenQuestion holds

Textmetadata
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.