Evidence map›Paper›PMID 38015257›Full record

ArticleJournal of mathematical biology2023

Modelling microtube driven invasion of glioma.

Thomas Hillen, Nadia Loy, Kevin J Painter, Ryan Thiessen

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Go-or-grow models in biology: a monster on a leash.Journal of mathematical biology · 2025
    Review
  2. 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.

Thomas HillenDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada. thillen@ualberta.ca.ORCID 0000-0003-0819-9520
Nadia LoyDepartment of Mathematical Sciences (DISMA), Politecnico di Torino, Turin, Italy.
Kevin J PainterInteruniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino, Turin, Italy.
Ryan ThiessenDepartment of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada.

Funding

Dipartimento di Scienze DISTItalian Ministry of Education CUP:E11G18000350001Natural Sciences and Engineering Research Council NSERC-CGSMNatural Sciences and Engineering Research Council RGPIN-2017-04158
6 · The paper itself

Abstract

Malignant gliomas are notoriously invasive, a major impediment against their successful treatment. This invasive growth has motivated the use of predictive partial differential equation models, formulated at varying levels of detail, and including (i) "proliferation-infiltration" models, (ii) "go-or-grow" models, and (iii) anisotropic diffusion models. Often, these models use macroscopic observations of a diffuse tumour interface to motivate a phenomenological description of invasion, rather than performing a detailed and mechanistic modelling of glioma cell invasion processes. Here we close this gap. Based on experiments that support an important role played by long cellular protrusions, termed tumour microtubes, we formulate a new model for microtube-driven glioma invasion. In particular, we model a population of tumour cells that extend tissue-infiltrating microtubes. Mitosis leads to new nuclei that migrate along the microtubes and settle elsewhere. A combination of steady state analysis and numerical simulation is employed to show that the model can predict an expanding tumour, with travelling wave solutions led by microtube dynamics. A sequence of scaling arguments allows us reduce the detailed model into simpler formulations, including models falling into each of the general classes (i), (ii), and (iii) above. This analysis allows us to clearly identify the assumptions under which these various models can be a posteriori justified in the context of microtube-driven glioma invasion. Numerical simulations are used to compare the various model classes and we discuss their advantages and disadvantages.

Indexed as

GliomaAnisotropyComputer SimulationDiffusionHumansTravelAnisotropic diffusionGlioma growthGlioma invasionGo-or-growMathematical oncologyProliferation-infiltration modelSnail-trail modelTransport equationsTumor microtubes

Identifiers

PMID38015257
PMCPMC10684558

What OpenQuestion holds

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Registered trials

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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.