3D numerical modeling of glioblastoma cells progression in microfluidic devices
Sala-Lardies, E. ; Sarrate, J. ; Pérez-Aliacar, M. ; Ayensa-Jiménez, J. ; Doblaré, M. (Universidad de Zaragoza) ; Parés, N.
Resumen: Mathematical and computational models provide a powerful framework for understanding complex biological processes such as cancer cell progression. Here, we present a numerical formulation for the simulation of the evolution of glioblastoma (GBM) cancer cells in microfluidic devices which are commonly used to replicate the dynamic changes of the tumor cells in a biomimetic microenvironment. We model this physicochemical and biological complexity
with a coupled nonlinear system of transient partial differential equations involving different chemical species and cell phenotypes. In particular, we consider oxygen as the main chemical driver and the concentration of two cell phenotypes: living and dead cells. The system is solved combining a high-order continuous Galerkin finite element formulation in space with a high-order diagonally implicit Runge–Kutta (DIRK) scheme in time. This leads to a coupled nonlinear system for oxygen and living cells at each stage of the DIRK scheme that we solve using the Newton method. The same integration method is used to solve for dead cells at each mesh node. Finally, we present several examples to assess and illustrate the capabilities of the proposed formulation. The results demonstrate that this model is a valuable tool for advancing our understanding of cancer cell progression and for supporting the industrial cesign of novel devices aimed at testing new hypotheses and guiding experimental research.
Idioma: Inglés
DOI: 10.1016/j.finel.2026.104551
Año: 2026
Publicado en: FINITE ELEMENTS IN ANALYSIS AND DESIGN 258 (2026), 104551 [27 pp.]
ISSN: 0168-874X
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-126051OB-C41
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-126051OB-C42
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-129512B-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
Exportado de SIDERAL (2026-04-30-13:57:08)
Visitas y descargas
with a coupled nonlinear system of transient partial differential equations involving different chemical species and cell phenotypes. In particular, we consider oxygen as the main chemical driver and the concentration of two cell phenotypes: living and dead cells. The system is solved combining a high-order continuous Galerkin finite element formulation in space with a high-order diagonally implicit Runge–Kutta (DIRK) scheme in time. This leads to a coupled nonlinear system for oxygen and living cells at each stage of the DIRK scheme that we solve using the Newton method. The same integration method is used to solve for dead cells at each mesh node. Finally, we present several examples to assess and illustrate the capabilities of the proposed formulation. The results demonstrate that this model is a valuable tool for advancing our understanding of cancer cell progression and for supporting the industrial cesign of novel devices aimed at testing new hypotheses and guiding experimental research.
Idioma: Inglés
DOI: 10.1016/j.finel.2026.104551
Año: 2026
Publicado en: FINITE ELEMENTS IN ANALYSIS AND DESIGN 258 (2026), 104551 [27 pp.]
ISSN: 0168-874X
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-126051OB-C41
Financiación: info:eu-repo/grantAgreement/ES/AEI/PID2021-126051OB-C42
Financiación: info:eu-repo/grantAgreement/EUR/MICINN/TED2021-129512B-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2026-04-30-13:57:08)
Permalink:
Visitas y descargas
Este artículo se encuentra en las siguientes colecciones:
Articles > Artículos por área > Mec. de Medios Contínuos y Teor. de Estructuras
Record created 2026-04-30, last modified 2026-04-30