Mathematical modeling and experimental validation of cancer cell migration in a three-dimensional tumor matrix

dc.contributor.advisorFeng, Yusheng
dc.contributor.authorBoukhris, Sarah J.
dc.contributor.committeeMemberDean, David D.
dc.contributor.committeeMemberDenton, Michael
dc.contributor.committeeMemberFoster, John T.
dc.contributor.committeeMemberYe, Jing Yong
dc.date.accessioned2024-02-09T19:30:21Z
dc.date.available2024-02-09T19:30:21Z
dc.date.issued2014
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractUnderstanding the processes and mechanisms of cancer cell migration and metastasis are critical to the fields of oncology and drug design. However, little is known about the controlling factors that influence cell migration and metastasis especially under complex micro-environmental conditions. The focus of this research is to study cell migration phenomena in response to two major factors - chemotaxis and durotaxis. The effects of other control parameters, such as fluid flow rates and concentration of nutrients, are also investigated using a simulated three-dimensional cell culture system. The simulation is based on a two-scale approach by solving coupled partial differential equations involving the Stokes-Brinkman equation with continuous stress at the interface between the porous media and the channel for the fluid flow profile in the system, the convection-diffusion equation for the distribution of nutrients, and the Newtonian formulation of motion for tumor cells. The simulation results show very good agreement with experimental data from literature and our collaborative lab at Virginia Tech. Three applications of the developed cell migration model were used to investigate the capabilities of the model in more complex biological systems. These applications include cell migration at a different spatial scale, cell migration in a more biologically relevant complex vasculature, and cell migration in a standardized model of a whole prostate gland. The simulation results demonstrate that the model is capable of predicting, to a certain extent, cell migration velocities in those different cases. The significance of this research is to provide some clue and insight for further investigation in the processes of cancer metastasis.
dc.description.departmentBiomedical Engineering
dc.format.extent156 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9781303918933
dc.identifier.urihttps://hdl.handle.net/20.500.12588/3038
dc.languageen
dc.subjectcancer biology
dc.subjectcomputational modeling
dc.subjectmathematical modeling
dc.subjectmetastasis
dc.subjectsimulation
dc.subjecttumor cell migration
dc.subject.classificationBiomedical engineering
dc.subject.lcshCancer cells
dc.subject.lcshCell migration
dc.subject.lcshMetastasis
dc.subject.lcshChemotaxis
dc.titleMathematical modeling and experimental validation of cancer cell migration in a three-dimensional tumor matrix
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentBiomedical Engineering
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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