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Bio-Mechanical Model of Osteosarcoma Tumor Microenvironment: A Porous Media Approach.
Hu, Yu; Mohammad Mirzaei, Navid; Shahriyari, Leili.
Afiliação
  • Hu Y; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA 01003, USA.
  • Mohammad Mirzaei N; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA 01003, USA.
  • Shahriyari L; Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Cancers (Basel) ; 14(24)2022 Dec 13.
Article em En | MEDLINE | ID: mdl-36551627
ABSTRACT
Osteosarcoma is the most common malignant bone tumor in children and adolescents with a poor prognosis. To describe the progression of osteosarcoma, we expanded a system of data-driven ODE from a previous study into a system of Reaction-Diffusion-Advection (RDA) equations and coupled it with Biot equations of poroelasticity to form a bio-mechanical model. The RDA system includes the spatio-temporal information of the key components of the tumor microenvironment. The Biot equations are comprised of an equation for the solid phase, which governs the movement of the solid tumor, and an equation for the fluid phase, which relates to the motion of cells. The model predicts the total number of cells and cytokines of the tumor microenvironment and simulates the tumor's size growth. We simulated different scenarios using this model to investigate the impact of several biomedical settings on tumors' growth. The results indicate the importance of macrophages in tumors' growth. Particularly, we have observed a high co-localization of macrophages and cancer cells, and the concentration of tumor cells increases as the number of macrophages increases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article