A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis.
Animals
Apoptosis
Biomechanical Phenomena
Carcinogenesis
/ genetics
Cell Proliferation
Computer Simulation
ErbB Receptors
/ genetics
Extracellular Signal-Regulated MAP Kinases
/ genetics
Gene Expression Regulation, Neoplastic
Humans
Mathematical Concepts
Models, Biological
Mutation
Signal Transduction
/ genetics
Software
Stochastic Processes
Systems Analysis
Up-Regulation
Agent-based modelling
Brownian Dynamics
EGFR
Tumour growth
Journal
Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
05
02
2019
accepted:
15
04
2019
pubmed:
25
4
2019
medline:
26
1
2021
entrez:
25
4
2019
Statut:
ppublish
Résumé
The epidermal growth factor receptor (EGFR) signalling cascade is one of the main pathways that regulate the survival and division of mammalian cells. It is also one of the most altered transduction pathways in cancer. Acquired mutations in the EGFR/ERK pathway can cause the overexpression of EGFR on the surface of the cell, while others downregulate the inactivation of switched on intracellular proteins such as Ras and Raf. This upregulates the activity of ERK and promotes cell division. We develop a 3D multiscale model to explore the role of EGFR overexpression on tumour initiation. In this model, cells are described as individual objects that move, interact, divide, proliferate, and die by apoptosis. We use Brownian Dynamics to describe the extracellular and intracellular regulations of cells as well as the spatial and stochastic effects influencing them. The fate of each cell depends on the number of active transcription factors in the nucleus. We use numerical simulations to investigate the individual and combined effects of mutations on the intracellular regulation of individual cells. Next, we show that the distance between active receptors increase the level of EGFR/ERK signalling. We demonstrate the usefulness of the model by quantifying the impact of mutational alterations in the EGFR/ERK pathway on the growth rate of in silico tumours.
Identifiants
pubmed: 31016574
doi: 10.1007/s11538-019-00607-y
pii: 10.1007/s11538-019-00607-y
pmc: PMC6612322
doi:
Substances chimiques
ErbB Receptors
EC 2.7.10.1
Extracellular Signal-Regulated MAP Kinases
EC 2.7.11.24
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2323-2344Références
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