Evidence map›Paper›PMID 37289551›Full record

ArticleBioinformatics (Oxford, England)2023

Multiscale model of the different modes of cancer cell invasion.

Marco Ruscone, Arnau Montagud, Philippe Chavrier, Olivier Destaing, Isabelle Bonnet, Andrei Zinovyev, Emmanuel Barillot, Vincent Noël, Laurence Calzone

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Marco RusconeInstitut Curie, Université PSL, F-75005 Paris, France.ORCID 0000-0002-7607-0203
Arnau MontagudBarcelona Supercomputing Center (BSC), Barcelona, Spain.ORCID 0000-0002-7696-1241
Philippe ChavrierInstitut Curie, PSL Research University, CNRS, UMR 144, Paris, France.
Olivier DestaingInstitute for Advanced Biosciences, Centre de Recherche Université Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, France.
Isabelle BonnetInstitut Curie, Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico Chimie Curie, Paris, France.ORCID 0000-0003-2343-3784
Andrei ZinovyevInstitut Curie, Université PSL, F-75005 Paris, France.ORCID 0000-0002-9517-7284
Emmanuel BarillotInstitut Curie, Université PSL, F-75005 Paris, France.
Vincent NoëlInstitut Curie, Université PSL, F-75005 Paris, France.ORCID 0000-0003-3448-291X
Laurence CalzoneInstitut Curie, Université PSL, F-75005 Paris, France.ORCID 0000-0002-7835-1148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationMathematical models of biological processes altered in cancer are built using the knowledge of complex networks of signaling pathways, detailing the molecular regulations inside different cell types, such as tumor cells, immune and other stromal cells. If these models mainly focus on intracellular information, they often omit a description of the spatial organization among cells and their interactions, and with the tumoral microenvironment.

resultsWe present here a model of tumor cell invasion simulated with PhysiBoSS, a multiscale framework, which combines agent-based modeling and continuous time Markov processes applied on Boolean network models. With this model, we aim to study the different modes of cell migration and to predict means to block it by considering not only spatial information obtained from the agent-based simulation but also intracellular regulation obtained from the Boolean model. Our multiscale model integrates the impact of gene mutations with the perturbation of the environmental conditions and allows the visualization of the results with 2D and 3D representations. The model successfully reproduces single and collective migration processes and is validated on published experiments on cell invasion. In silico experiments are suggested to search for possible targets that can block the more invasive tumoral phenotypes. AVAILABILITY AND IMPLEMENTATION: https://github.com/sysbio-curie/Invasion_model_PhysiBoSS.

Indexed as

Models, BiologicalModels, TheoreticalComputer SimulationHumansNeoplasm InvasivenessSignal TransductionTumor Microenvironment

Identifiers

PMID37289551
PMCPMC10293590

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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.