Computational Technology Resources - CCC

L. Saucedo-Mora^1,2,3, M.A. Sanz¹, F.J. Montáns^1,4 and J.M. Benítez¹

¹E.T.S. de Ingeniería Aeronáutica y del Espacio Universidad Politécnica de Madrid, Spain
²Department of Materials University of Oxford, United Kingdom
³Department of Nuclear Science and Engineering Massachusetts Institute of Technology, USA
⁴Department of Mechanical and Aerospace Engineering, University of Florida, USA

doi:10.4203/ccc.6.9.2

L. Saucedo-Mora, M.A. Sanz, F.J. Montáns, J.M. Benítez, "A simple agent-based hybrid model to reproduce the individual and collective migration of glioblastoma multiforme cells", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 6, Paper 9.2, 2023, doi:10.4203/ccc.6.9.2

Keywords: glioblastoma multiforme, agent-based modeling, collective migration, tumors, phenotypic plasticity.

Abstract

Glioblastoma multiforme (GBM) is a highly aggressive brain cancer. The malignancy of the GBM is related to the high infiltrative and proliferative capabilities of the tumor cells. When hypoxic conditions and/or a high density of cells are given in the microenvironment of a tumor, cancer cells can migrate, individually or collectively, towards areas of the tissue where there is more oxygen available or where there is a lower density of cells. In this paper, an agent-based hybrid model capable of simulating the collective and individual migration of GBM cells is shown. It has been formulated in terms of phenotypic and genotypic variables. The model reproduces the concomitant evolution of the oxygen field during the migration of the cells. The main conclusion is that when cells tend to migrate collectively, the migration of these cells prevails over their proliferation whereas, in cells with individual migration, proliferation prevails over migration.

download the full-text of this paper (PDF, 10 pages, 144 Kb)

go to the previous paper
go to the next paper
return to the table of contents
return to the volume description

	Computational & Technology Resources an online resource for computational, engineering & technology publications
	not logged in - login
Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 6 PROCEEDINGS OF THE SEVENTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: P. Ivanyi, J. Kruis and B.H.V. Topping Paper 9.2 A simple agent-based hybrid model to reproduce the individual and collective migration of glioblastoma multiforme cells L. Saucedo-Mora^1,2,3, M.A. Sanz¹, F.J. Montáns^1,4 and J.M. Benítez¹ ¹E.T.S. de Ingeniería Aeronáutica y del Espacio Universidad Politécnica de Madrid, Spain ²Department of Materials University of Oxford, United Kingdom ³Department of Nuclear Science and Engineering Massachusetts Institute of Technology, USA ⁴Department of Mechanical and Aerospace Engineering, University of Florida, USA doi:10.4203/ccc.6.9.2 Full Bibliographic Reference for this paper L. Saucedo-Mora, M.A. Sanz, F.J. Montáns, J.M. Benítez, "A simple agent-based hybrid model to reproduce the individual and collective migration of glioblastoma multiforme cells", in P. Ivanyi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventeenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 6, Paper 9.2, 2023, doi:10.4203/ccc.6.9.2 Keywords: glioblastoma multiforme, agent-based modeling, collective migration, tumors, phenotypic plasticity. Abstract Glioblastoma multiforme (GBM) is a highly aggressive brain cancer. The malignancy of the GBM is related to the high infiltrative and proliferative capabilities of the tumor cells. When hypoxic conditions and/or a high density of cells are given in the microenvironment of a tumor, cancer cells can migrate, individually or collectively, towards areas of the tissue where there is more oxygen available or where there is a lower density of cells. In this paper, an agent-based hybrid model capable of simulating the collective and individual migration of GBM cells is shown. It has been formulated in terms of phenotypic and genotypic variables. The model reproduces the concomitant evolution of the oxygen field during the migration of the cells. The main conclusion is that when cells tend to migrate collectively, the migration of these cells prevails over their proliferation whereas, in cells with individual migration, proliferation prevails over migration. download the full-text of this paper (PDF, 10 pages, 144 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
Back to top	©Civil-Comp Limited 2023 - terms & conditions