Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential... Show moreEpithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches. In this thesis, we studied these mechanisms using mathematical and computational approaches.First, we summarized and reviewed previous computational approaches that have been used to decipher EMP regulation. We then created mathematical models to explore (1) how different regulatory networks can explain epithelial-mesenchymal transition (EMT) in different cell contexts, and (2) how EMP and immune regulation can interact to cause tumor immunoevasion.Next, we studied the role of cell density in migration characteristics of triple-negative breast cancer cell lines by using a combined experimental and computational approach. We show how clustering and pseudopodial dynamics, potentially influenced by EMT-related factors, can alter the migratory behavior of these cell lines.Jointly, our work has shown that computational modeling can be used to test hypotheses based on experimental data, and generate testable hypotheses, making it a valuable addition to wet-lab experiments. Importantly, we identified mechanisms related to potential therapeutic targets, hopefully leading to improved targeted therapies and reduced cancer mortality. Show less
Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system. Despite significant success of immunotherapies in the... Show moreImmunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system. Despite significant success of immunotherapies in the past decade, not all patients will respond to these treatments and the reasons why immunotherapies are successful in some patients, but not others, remain incompletely understood. The immune response to cancer is a complex, multistage process, and mathematical and computational models are a useful tool for understanding such complex systems. In this thesis, I develop mathematical and computational models of cytotoxic T lymphocytes (CTLs), who are key players in the immune system due to their ability to recognise, destroy, and provide long lasting protection against malignant or virally infected cells. Show less
