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A 3D Multiscale Model to Explore the Role of EGFR Overexpression in Tumourigenesis.
Bouchnita, Anass; Hellander, Stefan; Hellander, Andreas.
Afiliación
  • Bouchnita A; Division of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden. anass.bouchnita@it.uu.se.
  • Hellander S; Division of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden.
  • Hellander A; Division of Scientific Computing, Department of Information Technology, Uppsala University, 75105, Uppsala, Sweden.
Bull Math Biol ; 81(7): 2323-2344, 2019 07.
Article en En | MEDLINE | ID: mdl-31016574
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinogénesis / Receptores ErbB / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Bull Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Carcinogénesis / Receptores ErbB / Modelos Biológicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Bull Math Biol Año: 2019 Tipo del documento: Article País de afiliación: Suecia