Evidence map›Paper›PMID 28852950›Full record

ArticleBulletin of mathematical biology2017

Are Tumor Cell Lineages Solely Shaped by Mechanical Forces?

Mathieu Leroy-Lerêtre, Giacomo Dimarco, Martine Cazales, Marie-Laure Boizeau, Bernard Ducommun, Valérie Lobjois, Pierre Degond

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bulletin of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Mathieu Leroy-LerêtreInstitut de Mathématiques de Toulouse, Université de Toulouse, CNRS, UPS, Toulouse, France.
Giacomo DimarcoDepartment of Mathematics and Computer Science, University of Ferrara, Ferrara, Italy.
Martine CazalesITAV-USR3505, Université de Toulouse, CNRS, UPS, Toulouse, France.
Marie-Laure BoizeauITAV-USR3505, Université de Toulouse, CNRS, UPS, Toulouse, France.
Bernard DucommunITAV-USR3505, Université de Toulouse, CNRS, UPS, Toulouse, France.
Valérie LobjoisITAV-USR3505, Université de Toulouse, CNRS, UPS, Toulouse, France.
Pierre DegondDepartment of Mathematics, Imperial College London, London, UK. p.degond@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4886-6968

Funding

Engineering and Physical Sciences Research Council EP/M006883/1Engineering and Physical Sciences Research Council EP/N014529/1National science Foundation (US) RNMS11-07444Royal Society WM130048
6 · The paper itself

Abstract

This paper investigates cell proliferation dynamics in small tumor cell aggregates using an individual-based model (IBM). The simulation model is designed to study the morphology of the cell population and of the cell lineages as well as the impact of the orientation of the division plane on this morphology. Our IBM model is based on the hypothesis that cells are incompressible objects that grow in size and divide once a threshold size is reached, and that newly born cell adhere to the existing cell cluster. We performed comparisons between the simulation model and experimental data by using several statistical indicators. The results suggest that the emergence of particular morphologies can be explained by simple mechanical interactions.

Indexed as

Cell LineageModels, BiologicalAlgorithmsBiomechanical PhenomenaCell DivisionCell Line, TumorCell ProliferationCell SizeComputer SimulationHCT116 CellsHumansMathematical ConceptsMicroscopy, VideoNeoplasmsCell proliferationEnergy minimizationIndividual-based modelLineage morphology

Identifiers

PMID28852950
PMCPMC5597711

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.