Dean of the College and Computer Science Program Present
Computational Modeling of Breast Tumor Heterogeneity and the Stromal Microenvironment
RKC 115
12:30 pm EST/GMT-5
12:30 pm EST/GMT-5
Kerri-Ann Norton, Johns Hopkins University
Breast tumors are complex systems influenced by intrinsic properties of tumor cells, by its microenvironment, and by signaling between cells. Multiscale computational modeling is a powerful approach to unraveling this complexity. I develop agent-based models of breast cancer growth using object-oriented programming where cancer cells are modeled as agents that interact with their microenvironment and with other stromal cell agents. Cancer cell agents have their own intrinsic properties such as proliferation and migration rates, and make decisions based on signals from their environment and interactions with other cell agents. The object-oriented programming paradigm fits well with agent-based computational modeling. Biological entities such as cells can be modeled using objects. Object properties are used to represent cellular attributes and properties, and object methods help define the cells signaling and functional capabilities. Inheritance can be used to more easily define cellular phenotypes such as, for instance, stem cells.Using this approach, I developed an agent-based model of breast cancer including stem cells, which govern proliferation, and chemokine receptor 5 (CCR5) numbers, which govern migration. I then examined the specific effects of different microenvironments, such as low oxygen or drug treatment, on the growth and morphology of the tumor. I also developed an agent-based model of tumor angiogenesis, the recruitment of new blood vessels, and examine the effects of proliferation and migration on vascular coverage. Lastly, I examined the effects of tumor cell interactions with stromal cells, such as fibroblasts and macrophages, on the development and morphology of breast tumors. From the modeling results, I then make predictions as to which therapeutic targets have the most influence on tumor growth.
For more information, call 845-752-2359, or e-mail [email protected].
Time: 12:30 pm EST/GMT-5
Location: RKC 115