000126353 001__ 126353
000126353 005__ 20241125101140.0
000126353 0247_ $$2doi$$a10.1016/j.compbiomed.2023.106897
000126353 0248_ $$2sideral$$a133798
000126353 037__ $$aART-2023-133798
000126353 041__ $$aeng
000126353 100__ $$aCarrasco-Mantis, Ana
000126353 245__ $$aA mechanobiological model for tumor spheroid evolution with application to glioblastoma: A continuum multiphysics approach
000126353 260__ $$c2023
000126353 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126353 5203_ $$aBackground: Spheroids are in vitro quasi-spherical structures of cell aggregates, eventually cultured within a hydrogel matrix, that are used, among other applications, as a technological platform to investigate tumor formation and evolution. Several interesting features can be replicated using this methodology, such as cell communication mechanisms, the effect of gradients of nutrients, or the creation of realistic 3D biological structures. The main objective of this work is to link the spheroid evolution with the mechanical activity of cells, coupled with nutrient consumption and the subsequent cell dynamics. Method: We propose a continuum mechanobiological model which accounts for the most relevant phenomena that take place in tumor spheroid evolution under in vitro suspension, namely, nutrient diffusion in the spheroid, kinetics of cellular growth and death, and mechanical interactions among the cells. The model is qualitatively validated, after calibration of the model parameters, versus in vitro experiments of spheroids of different glioblastoma cell lines. Results: Our model is able to explain in a novel way quite different setups, such as spheroid growth (up to six times the initial configuration for U-87 MG cell line) or shrinking (almost half of the initial configuration for U-251 MG cell line); as the result of the mechanical interplay of cells driven by cellular evolution. Conclusions: Glioblastoma tumor spheroid evolution is driven by mechanical interactions of the cell aggregate and the dynamical evolution of the cell population. All this information can be used to further investigate mechanistic effects in the evolution of tumors and their role in cancer disease.
000126353 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PRE2019-090391$$9info:eu-repo/grantAgreement/ES/MICINN/PGC2018-097257-B-C31
000126353 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000126353 590__ $$a7.0$$b2023
000126353 592__ $$a1.481$$b2023
000126353 591__ $$aBIOLOGY$$b7 / 109 = 0.064$$c2023$$dQ1$$eT1
000126353 593__ $$aHealth Informatics$$c2023$$dQ1
000126353 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b2 / 66 = 0.03$$c2023$$dQ1$$eT1
000126353 593__ $$aComputer Science Applications$$c2023$$dQ1
000126353 591__ $$aENGINEERING, BIOMEDICAL$$b16 / 123 = 0.13$$c2023$$dQ1$$eT1
000126353 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b19 / 170 = 0.112$$c2023$$dQ1$$eT1
000126353 594__ $$a11.7$$b2023
000126353 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126353 700__ $$0(orcid)0000-0001-7232-7588$$aRandelovic, Teodora
000126353 700__ $$aCastro-Abril, Héctor
000126353 700__ $$0(orcid)0000-0003-2410-5678$$aOchoa, Ignacio$$uUniversidad de Zaragoza
000126353 700__ $$0(orcid)0000-0001-8741-6452$$aDoblaré, Manuel$$uUniversidad de Zaragoza
000126353 700__ $$aSanz-Herrera, José A.
000126353 7102_ $$11003$$2443$$aUniversidad de Zaragoza$$bDpto. Anatom.Histolog.Humanas$$cArea Histología
000126353 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000126353 773__ $$g159 (2023), 106897 [17 pp.]$$pComput. biol. med.$$tComputers in biology and medicine$$x0010-4825
000126353 8564_ $$s2738132$$uhttps://zaguan.unizar.es/record/126353/files/texto_completo.pdf$$yVersión publicada
000126353 8564_ $$s2504518$$uhttps://zaguan.unizar.es/record/126353/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126353 909CO $$ooai:zaguan.unizar.es:126353$$particulos$$pdriver
000126353 951__ $$a2024-11-22-12:02:22
000126353 980__ $$aARTICLE