Multiscale model of the different modes of cancer cell invasion.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 06 2023
Historique:
received: 14 11 2022
revised: 25 05 2023
accepted: 07 06 2023
medline: 28 6 2023
pubmed: 8 6 2023
entrez: 8 6 2023
Statut: ppublish

Résumé

Mathematical 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. We 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. https://github.com/sysbio-curie/Invasion_model_PhysiBoSS.

Identifiants

pubmed: 37289551
pii: 7192171
doi: 10.1093/bioinformatics/btad374
pmc: PMC10293590
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

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Auteurs

Marco Ruscone (M)

Institut Curie, Université PSL, F-75005 Paris, France.
INSERM, U900, F-75005 Paris, France.
Mines ParisTech, Université PSL, F-75005 Paris, France.
Sorbonne Université, Collège Doctoral, F-75005 Paris, France.

Arnau Montagud (A)

Barcelona Supercomputing Center (BSC), Barcelona, Spain.

Philippe Chavrier (P)

Institut Curie, PSL Research University, CNRS, UMR 144, Paris, France.

Olivier Destaing (O)

Institute for Advanced Biosciences, Centre de Recherche Université Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, France.

Isabelle Bonnet (I)

Institut Curie, Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico Chimie Curie, Paris, France.

Andrei Zinovyev (A)

Institut Curie, Université PSL, F-75005 Paris, France.
INSERM, U900, F-75005 Paris, France.
Mines ParisTech, Université PSL, F-75005 Paris, France.

Emmanuel Barillot (E)

Institut Curie, Université PSL, F-75005 Paris, France.
INSERM, U900, F-75005 Paris, France.
Mines ParisTech, Université PSL, F-75005 Paris, France.

Vincent Noël (V)

Institut Curie, Université PSL, F-75005 Paris, France.
INSERM, U900, F-75005 Paris, France.
Mines ParisTech, Université PSL, F-75005 Paris, France.

Laurence Calzone (L)

Institut Curie, Université PSL, F-75005 Paris, France.
INSERM, U900, F-75005 Paris, France.
Mines ParisTech, Université PSL, F-75005 Paris, France.

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