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CALCULUS FROM THE PAST: MULTIPLE DELAY SYSTEMS ARISING IN CANCER CELL MODELLING

Published online by Cambridge University Press:  30 April 2013

G. C. WAKE*
Affiliation:
Centre for Mathematics in Industry, Institute of Natural & Mathematical Sciences, Massey University, Private Bag 102-904, North Shore Mail Centre, Auckland 0932, New Zealand
H. M. BYRNE
Affiliation:
Oxford Centre for Collaborative Applied Mathematics, Mathematical Institute, University of Oxford, 24–29 St. Giles’, Oxford OX1 3LB, UK email Helen.Byrne@maths.ox.ac.uk Computational Biology Group, Department of Computer Science, University of Oxford, South Parks Road, Oxford OX1 3QD, UK
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Abstract

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Nonlocal calculus is often overlooked in the mathematics curriculum. In this paper we present an interesting new class of nonlocal problems that arise from modelling the growth and division of cells, especially cancer cells, as they progress through the cell cycle. The cellular biomass is assumed to be unstructured in size or position, and its evolution governed by a time-dependent system of ordinary differential equations with multiple time delays. The system is linear and taken to be autonomous. As a result, it is possible to reduce its solution to that of a nonlinear matrix eigenvalue problem. This method is illustrated by considering case studies, including a model of the cell cycle developed recently by Simms, Bean and Koeber. The paper concludes by explaining how asymptotic expressions for the distribution of cells across the compartments can be determined and used to assess the impact of different chemotherapeutic agents.

Type
Research Article
Copyright
Copyright ©2013 Australian Mathematical Society 

References

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