126467 20241125101153.0 doi 10.1016/j.compbiomed.2023.106895 sideral 133842 ART-2023-133842 eng Hervas-Raluy, Silvia Universidad de Zaragoza (orcid)0000-0001-8324-5596 Tumour growth: An approach to calibrate parameters of a multiphase porous media model based on in vitro observations of Neuroblastoma spheroid growth in a hydrogel microenvironment 2023 Access copy available to the general public Unrestricted To unravel processes that lead to the growth of solid tumours, it is necessary to link knowledge of cancer biology with the physical properties of the tumour and its interaction with the surrounding microenvironment. Our understanding of the underlying mechanisms is however still imprecise. We therefore developed computational physics-based models, which incorporate the interaction of the tumour with its surroundings based on the theory of porous media. However, the experimental validation of such models represents a challenge to its clinical use as a prognostic tool. This study combines a physics-based model with in vitro experiments based on microfluidic devices used to mimic a three-dimensional tumour microenvironment. By conducting a global sensitivity analysis, we identify the most influential input parameters and infer their posterior distribution based on Bayesian calibration. The resulting probability density is in agreement with the scattering of the experimental data and thus validates the proposed workflow. This study demonstrates the huge challenges associated with determining precise parameters with usually only limited data for such complex processes and models, but also demonstrates in general how to indirectly characterise the mechanical properties of neuroblastoma spheroids that cannot feasibly be measured experimentally. info:eu-repo/grantAgreement/ES/DGA/2019-23 info:eu-repo/grantAgreement/EC/H2020/101018587/EU/Individual and Collective Migration of the Immune Cellular System/ICoMICS This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101018587-ICoMICS info:eu-repo/grantAgreement/EC/H2020/101021526/EU/Unlocking vital mysteries in respiratory biomechanics/BREATHE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 101021526-BREATHE info:eu-repo/grantAgreement/EC/H2020/826494/EU/PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers/PRIMAGE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 826494-PRIMAGE info:eu-repo/grantAgreement/ES/MICINN-AEI-FEDER/PID2021-122409OB-C21 info:eu-repo/grantAgreement/ES/MICINN/PID2021-124271OB-I00 info:eu-repo/grantAgreement/ES/MICINN/RTI2018-094494-B-C21 info:eu-repo/grantAgreement/ES/UZ-IBERCAJA-CAI/IT1-22 info:eu-repo/grantAgreement/ES/UZ-IBERCAJA-CAI/IT5-21 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 7.0 2023 BIOLOGY 7 / 109 = 0.064 2023 Q1 T1 MATHEMATICAL & COMPUTATIONAL BIOLOGY 2 / 66 = 0.03 2023 Q1 T1 ENGINEERING, BIOMEDICAL 16 / 123 = 0.13 2023 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 19 / 170 = 0.112 2023 Q1 T1 1.481 2023 Health Informatics 2023 Q1 Computer Science Applications 2023 Q1 11.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Wirthl, Barbara Guerrero, Pedro E. Universidad de Zaragoza (orcid)0000-0003-2612-9235 Robalo Rei, Gil Nitzler, Jonas Coronado, Esther Font de Mora Sainz, Jaime Schrefler, Bernhard A. Gomez-Benito, Maria Jose Universidad de Zaragoza (orcid)0000-0002-1878-8997 Garcia-Aznar, Jose Manuel Universidad de Zaragoza (orcid)0000-0002-9864-7683 Wall, Wolfgang A. 1002 060 Universidad de Zaragoza Dpto. Bioq.Biolog.Mol. Celular Área Bioquímica y Biolog.Mole. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 159 (2023), 106895 [18 pp.] Comput. biol. med. Computers in biology and medicine 0010-4825 3084136 http://zaguan.unizar.es/record/126467/files/texto_completo.pdf Versión publicada 2473658 http://zaguan.unizar.es/record/126467/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:126467 articulos driver 2024-11-22-12:07:52 ARTICLE