Graduation Semester and Year
2015
Language
English
Document Type
Thesis
Degree Name
Master of Science in Mathematics
Department
Mathematics
First Advisor
Hristo Kojouharov
Abstract
Cancer is historically a leading cause of death in the United States. In 2013,cancer was the second leading cause of death with 584,881 deaths \cite{CDC}.Having solely been responsible for 22.5\% of all deaths in 2013 alone \cite{CDC},obtaining as complete an understanding as possible of cancer is obviously necessitated.I investigate deterministic ordinary differential equation models of increasingcomplexity simulating avascular tumor growth and interactions with the innate immuneresponse. After first establishing a baseline of tumor growth limited only by theavailability of local nutrients, I compare the effects on said growth of the nativeimmune system response, chemotherapy, immunotherapy, and various combinations ofthe aforementioned treatment options and responses. These efforts focus onincreasing the understanding of tumor-immune interactions under various conditionsand scenarios in hopes of identifying the most effective approach in combatingsimilar cancerous tumors.
Disciplines
Mathematics | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Childress, Robert Paul, "Comparative Analysis Of Various Continuous-time Deterministic Models Of Tumor-immune Interactions" (2015). Mathematics Theses. 2.
https://mavmatrix.uta.edu/math_theses/2
Comments
Degree granted by The University of Texas at Arlington