2003
DOI: 10.1137/s0036141002418388
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A Free Boundary Problem for an Elliptic-Hyperbolic System: An Application to Tumor Growth

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Cited by 101 publications
(77 citation statements)
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“…The role of growth factors has been considered in [150][151][152] by means of two nonlinear reaction-diffusion equations that track epithelial cell density and the epidermal growth factor (EGF). Further developments have been considered in [153][154][155][156][157][158] for including the impact of increased mitotic and migratory activity due to an EGF, the effects of cell density-dependent diffusion, the role of key chemicals in determining the quality of healing (see also the review papers [159,160]). …”
Section: Models With Internal Structurementioning
confidence: 99%
“…The role of growth factors has been considered in [150][151][152] by means of two nonlinear reaction-diffusion equations that track epithelial cell density and the epidermal growth factor (EGF). Further developments have been considered in [153][154][155][156][157][158] for including the impact of increased mitotic and migratory activity due to an EGF, the effects of cell density-dependent diffusion, the role of key chemicals in determining the quality of healing (see also the review papers [159,160]). …”
Section: Models With Internal Structurementioning
confidence: 99%
“…Local existence and uniqueness of a solution with prescribed initial data was proved in [6] [11]. Under radially symmetric data, global existence of a radially symmetric solution was proved and asymptotic estimates were derived on the free boundary Γ(t) = {r = R(t)} as t → ∞ [15].…”
Section: In This Section We Assume That the Tumor Includes Three Typmentioning
confidence: 99%
“…It is based on two lemmas. The first lemma, taken from [6], is concerned with the inhomogeneous Hele-Shaw problem: Find a function σ(x, t) and domains Ω(t) such that…”
Section: Existence Theorems Under Darcy's Lawmentioning
confidence: 99%
“…Other multiscale tumor models were developed by Ayati et al [1] and Jiang et al [20]. A tumor model with three types of cells (proliferating, quiescent, and dead) was developed by Pettet et al [26] and analyzed by mathematical analysis in [5], [6], [7]. The underlying assumptions in our models is that all the cells which have the same set of genetic mutations make the same decisions at R 1 and at R 2 .…”
Section: Introductionmentioning
confidence: 99%