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Modeling Interactions Between Various Cell Populations in a Cancerous System
Author(s) -
Asia Youngblood
Publication year - 2016
Publication title -
siam undergraduate research online
Language(s) - English
Resource type - Journals
ISSN - 2327-7807
DOI - 10.1137/15s014617
Subject(s) - computational biology , cell , computer science , biology , genetics
We create two models based on systems of ordinary differential equations (ODEs) to study how normal, benign, metastatic, and immune cell populations evolve in a patient with cancer. The first, one-patch, model is used to simulate the cell populations in a single fixed area. Using stability analysis for this model, we determine a healthy equilibrium point with no tumor cells and derive necessary and sufficient conditions for stability. This model is also used to show the effects of immunotherapy on a cancerous system. To capture the effects of metastatic cancer, a two-patch model is introduced. It looks at the cell populations in two different areas of the body. A healthy equilibrium is also found for this model and sufficient conditions for stability are provided.

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