2017
DOI: 10.1142/s021820251750035x
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Mathematical modelling of cancer invasion: The multiple roles of TGF-β pathway on tumour proliferation and cell adhesion

Abstract: In this paper, we develop a non-local mathematical model describing cancer cell invasion and movement as a result of integrin-controlled cell-cell adhesion and cell-matrix adhesion, and transforming growth factor-beta (TGF-β) effect on cell proliferation and adhesion, for two cancer cell populations with different levels of mutation. The model consists of partial integro-differential equations describing the dynamics of two cancer cell populations, coupled with ordinary differential equations describing the ex… Show more

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Cited by 32 publications
(32 citation statements)
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“…Let g i (υ (x + r,t) , c (x,t)) , i = 1, 2, describe the nature of the cell-cell and cell-matrix adhesive forces created at x due to signalling with cell/ECM components at x + r. These functions increase when the cell density and ECM density increase, and accordingly they decrease when the cell density and ECM density decrease. The functions g i , i = 1, 2, are chosen as in Bitsouni et al (2017) to be given by g 1 (υ (x + r,t) , c (x,t)) := S 1 (c (x,t)) u 1 (x + r,t) + S (c (x,t)) u 2 (x + r,t) +C 1 (c (x,t)) f (x + r,t) , (2.3) and g 2 (υ (x + r,t) , c (x,t)) := S 2 (c (x,t)) u 2 (x + r,t) + S (c (x,t)) u 1 (x + r,t) +C 2 (c (x,t)) f (x + r,t) , (2.4) 6 of 36 Vasiliki Bitsouni et al where S i (c (x,t)) is the cell-cell self-adhesion strength function for populations u i , S (c (x,t)) is the cell-cell cross-adhesion strength function between the two populations, and C i (c (x,t)) is the adhesion strength function between population u i and ECM. We should mention here that a similar term was considered before by Chaplain et al (2011).…”
Section: Derivation Of the Modelmentioning
confidence: 99%
“…Let g i (υ (x + r,t) , c (x,t)) , i = 1, 2, describe the nature of the cell-cell and cell-matrix adhesive forces created at x due to signalling with cell/ECM components at x + r. These functions increase when the cell density and ECM density increase, and accordingly they decrease when the cell density and ECM density decrease. The functions g i , i = 1, 2, are chosen as in Bitsouni et al (2017) to be given by g 1 (υ (x + r,t) , c (x,t)) := S 1 (c (x,t)) u 1 (x + r,t) + S (c (x,t)) u 2 (x + r,t) +C 1 (c (x,t)) f (x + r,t) , (2.3) and g 2 (υ (x + r,t) , c (x,t)) := S 2 (c (x,t)) u 2 (x + r,t) + S (c (x,t)) u 1 (x + r,t) +C 2 (c (x,t)) f (x + r,t) , (2.4) 6 of 36 Vasiliki Bitsouni et al where S i (c (x,t)) is the cell-cell self-adhesion strength function for populations u i , S (c (x,t)) is the cell-cell cross-adhesion strength function between the two populations, and C i (c (x,t)) is the adhesion strength function between population u i and ECM. We should mention here that a similar term was considered before by Chaplain et al (2011).…”
Section: Derivation Of the Modelmentioning
confidence: 99%
“…2013) as well as those exploring the direct effects of chemotaxis, proliferation and adhesion on tumour invasion (Bitsouni et al. 2017; Chauviere et al. 2007; Domschke et al.…”
Section: Introductionmentioning
confidence: 99%
“…Biological and mathematical models of both in vivo and in vitro experiments have given us a deeper insight into many processes involved during tumour invasion. Great focus has been placed on modelling the effects of cell-cell and cell-matrix adhesion (Painter et al, 2010;Armstrong et al, 2006;Anderson, 2005;Turner and Sherratt, 2002;Gerisch and Chaplain, 2008;Domschke et al, 2014;Bitsouni et al, 2017). On the other hand, recent works such as (Chauviere et al, 2007;Painter, 2008;Hillen et al, 2010;Schluter et al, 2012;Hillen et al, 2013;Engwer et al, 2015) have highlighted the vital importance that the composition of the ECM has on the overall invasion of cancer.…”
Section: Introductionmentioning
confidence: 99%