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dc.contributor.advisor Dewhirst, Mark W en_US
dc.contributor.author Cardenas-Navia, Laura Isabel en_US
dc.date.accessioned 2008-08-15T11:56:55Z
dc.date.available 2011-07-26T04:30:03Z
dc.date.issued 2008-08-08 en_US
dc.identifier.uri http://hdl.handle.net/10161/705
dc.description Dissertation en_US
dc.description.abstract <p>Tumor hypoxia is an enduring problem for traditional cancer therapies such as radiation and chemotherapy. This obstacle has traditionally been attributed to the widespread presence of chronic, diffusion-limited hypoxia in solid tumors; recent data suggests that tumor hypoxia may also be spatially and temporally variable. In this work we characterize the presence of spatial and temporal fluctuations in hypoxia, as well as use mathematical modeling to predict the impact of fluctuations on the hypoxic cytotoxin, tirapazamine, and examine potential mechanisms of fluctuations in tumor oxygenation. Using phosphorescence lifetime imaging on preclinical tumors, we show that instabilities in tumor oxygenation are a prevalent characteristic of three tumor lines and that previous characterization of tumor hypoxia as being primarily diffusion-limited does not accurately portray the tumor microenvironment. Then, using a one-dimensional theoretical model, we examine the effects of fluctuating hypoxia on metabolized tirapazamine concentration; we find that fluctuating oxygen reduces the concentration of metabolized tirapazamine at distances farther from the source, thereby limiting its ability to reach and kill the most hypoxic cells. Finally, we use a three-dimensional Green's function oxygen transport model to explore the effects of temporal fluctuations in hemoglobin saturation, blood flow, and overall perfusion on tumor tissue oxygenation. Results from the model predict that hemoglobin saturation has a dominant effect on tissue oxygenation. These studies collectively suggest that the pervasive temporal and spatial heterogeneity in tumor oxygenation are highly therapeutically relevant, and future clinical and preclinical studies are needed.</p> en_US
dc.format.extent 5555027 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject Engineering, Biomedical en_US
dc.subject Biology, Physiology en_US
dc.subject Health Sciences, Oncology en_US
dc.subject tumor hypoxia en_US
dc.subject oxygen and nutrient transport in tumors en_US
dc.subject mathamatical model en_US
dc.title Characterization and Modeling of Fluctuating Hypoxia in Breast Cancer en_US
dc.type Dissertation en_US
dc.department Biomedical Engineering en_US
duke.embargo.months 24 en_US

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