A mathematical model of tumor-immune interactions following oncogene inactivation
Abstract/Contents
- Abstract
- The genesis of a wide variety of cancers is the expression of an oncogene, a damaged gene that can drive malignant tumor growth. Molecularly targeted therapy can inactivate the oncogene, which has been shown in many cases to lead to tumor regression. However, in many patients, there is tumor recurrence where the tumor becomes resistant to the targeted therapy. Understanding the complex interactions of the tumor's multi-faceted response to oncogene inactivation is key to tumor regression. The mathematical model that I have developed captures the cellular mechanisms that determine whether or not tumors recur, leading to directed hypotheses about how to design more effective therapeutic regimens. This novel model integrates different mathematical frameworks including differential equations and Galton-Watson branching processes in order to capture the stochastic fluctuation in subclonal populations of tumor cells. My work simultaneously incorporates multiple cellular fates for tumor cells and immune-mediated responses critical in determining tumor recurrence. This approach builds upon established theoretical models and adds newly established biological mechanisms of tumor physiology and the immune system specific to oncogene inactivation. My mathematical model will allow prediction and optimization of various therapeutic strategies that improve outcomes in cancer patients.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2014 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Nwabugwu, Chinyere Ifeoma |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Paik, David |
| Thesis advisor | Paik, David |
| Thesis advisor | Gill, John T III |
| Thesis advisor | Pauly, John (John M.) |
| Advisor | Gill, John T III |
| Advisor | Pauly, John (John M.) |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Chinyere Ifeoma Nwabugwu. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2014. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2014 by Chinyere Ifeoma Nwabugwu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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