Evidence map›Paper›PMID 34427771›Full record

ArticleJournal of mathematical biology2021

Treatment-induced shrinking of tumour aggregates: a nonlinear volume-filling chemotactic approach.

Luis Almeida, Gissell Estrada-Rodriguez, Lisa Oliver, Diane Peurichard, Alexandre Poulain, Francois Vallette

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Article in Journal of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Luis AlmeidaLaboratoire Jacques-Louis Lions, UMR7598, Sorbonne Université, CNRS, Inria, Université de Paris, 75005, Paris, France.ORCID 0000-0002-3344-0366
Gissell Estrada-RodriguezLaboratoire Jacques-Louis Lions, UMR7598, Sorbonne Université, CNRS, Inria, Université de Paris, 75005, Paris, France. estradarodriguez@ljll.math.upmc.fr.ORCID 0000-0001-6202-9384
Lisa OliverUMR 1232, Centre de Recherche en Cancérologie et Immunologie Nantes-Angers, Université de Nantes, Nantes, France.
Diane PeurichardSorbonne Université, Inria, Université de Paris, CNRS, Laboratoire Jacques-Louis Lions, 75005, Paris, France.
Alexandre PoulainLaboratoire Jacques-Louis Lions, UMR7598, Sorbonne Université, CNRS, Inria, Université de Paris, 75005, Paris, France.ORCID 0000-0002-3611-4312
Francois ValletteUMR 1232, Centre de Recherche en Cancérologie et Immunologie Nantes-Angers, Université de Nantes, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivated by experimental observations in 3D/organoid cultures derived from glioblastoma, we propose a novel mechano-transduction mechanism where the introduction of a chemotherapeutic treatment induces mechanical changes at the cell level. We analyse the influence of these individual mechanical changes on the properties of the aggregates obtained at the population level. We employ a nonlinear volume-filling chemotactic system of partial differential equations, where the elastic properties of the cells are taken into account through the so-called squeezing probability, which depends on the concentration of the treatment in the extracellular microenvironment. We explore two scenarios for the effect of the treatment: first, we suppose that the treatment acts only on the mechanical properties of the cells and, in the second one, we assume it also prevents cell proliferation. We perform a linear stability analysis which enables us to identify the ability of the system to create patterns and fully characterize their size. Moreover, we provide numerical simulations in 1D and 2D that illustrate the shrinking of the aggregates due to the presence of the treatment.

Indexed as

ChemotaxisNeoplasmsHumansTumor MicroenvironmentChemotaxisGlioblastomaStability analysisVolume-filling approach

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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.