Monte Carlo uncertainty quantification in modelling cell deformation during cancer metastasis

Jiao Chen, Daphne Weihs, Fred Vermolen

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Abstract

During metastasis of cancer, cell migration plays a crucial role, which is normally accompanied by morphological evolution. To simulate cell deformation, we develop a phenomenological, computational model involving deformation of a cell as well as its nucleus. The migration of a single cell is orchestrated by a generic signal (e.g. a chemokine or a stiffness stimulus), the microvascular flow and stochastic processes, which are dealt with by using Green’s Fundamental solutions, Poisseuille flow and a vector Wiener process, respectively. Moreover, due to the uncertainties in the input variables, Monte Carlo simulations are carried out to evaluate the correlations between various parameters and quantitatively predict the likelihood of vessel transmigration of one cell during cancer metastasis.
Original languageEnglish
Number of pages9
Publication statusPublished - 2018
Event15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering - Lisbon, Portugal
Duration: 26 Mar 201829 Mar 2018
Conference number: 15
http://cmbbe2018.tecnico.ulisboa.pt/

Conference

Conference15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
Abbreviated titleCMBBE 2018
Country/TerritoryPortugal
CityLisbon
Period26/03/1829/03/18
Internet address

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