Controlling resistance evolution in cancer gene therapy
| Author(s) | Hernandez, Jason | |
| Date Accessioned | 2010-12-23T23:46:11Z | |
| Date Available | 2010-12-23T23:46:11Z | |
| Publication Date | 2010 | |
| Abstract | We have developed a multi-state ordinary differential equation model representing the dynamics of cancerous cell populations under conditions consistent with the gene therapy technique proposed by Martinez-Quintanilla et al. The model is based on a variation of the Lotka-Volterra equations, a method to illustrate multiple species’ competition to utilize a scarce resource. This system allows for investigation of the effectiveness of proposed anti-cancer gene therapy methods, including the response to selective pressures resulting from drug treatments. In this thesis, we observe the stability of the system via bifurcation analysis; highlight the importance of delivery method of drug-susceptibility genes; finally, propose a control method to optimize treatment effectiveness. | en_US |
| Advisor | Zurakowski, Ryan | |
| Degree | M.S. | |
| Department | University of Delaware, Department of Electrical and Computer Engineering | |
| URL | http://udspace.udel.edu/handle/19716/5732 | |
| Publisher | University of Delaware | en_US |
| dc.subject.lcsh | Cancer -- Gene therapy | |
| dc.subject.lcsh | Evolution (Biology) | |
| dc.subject.lcsh | Drug resistance | |
| Title | Controlling resistance evolution in cancer gene therapy | en_US |
| Type | Thesis | en_US |