Modelling continuous levels of resistance to multidrug therapy in cancer

11 Jul 2018, 10:30
New Law School/--104 (University of Sydney)

New Law School/--104

University of Sydney

Oral Presentation Minisymposium: Mathematical strategies to overcome resistance to anticancer drugs Mathematical strategies to overcome resistance to anticancer drugs


Heyrim Cho (University of Maryland)


Multidrug resistance consists of a series of genetic and epigenetic alternations that involve multifactorial and complex processes, which are a challenge to successful cancer treatments. Accompanied by advances in biotechnology and high dimensional data analysis techniques that are bringing in new opportunities in modelling biological systems with continuous phenotypic structured models, we study a cancer cell population model that considers a multi-dimensional continuous resistance trait to multiple drugs to investigate multidrug resistance. We compare our continuous resistance trait model with classical models that assume a discrete resistance state and classify the cases when the continuum and discrete models yield different dynamical patterns in the emerging heterogeneity in response to drugs. We also compute the maximal fitness resistance trait for various continuum models and study the effect of epimutations. Finally, we demonstrate how our approach can be used to study tumour growth regarding the turnover rate and the proliferating fraction, and show that a continuous resistance level may result in a different dynamics when compared with the predictions of other discrete models.

Primary authors

Heyrim Cho (University of Maryland) Prof. Doron Levy (University of Maryland)

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