CALCULUS FROM THE PAST: MULTIPLE DELAY SYSTEMS ARISING IN CANCER CELL MODELLING
Type
ArticleAuthors
WAKE, G. C.BYRNE, H. M.
KAUST Grant Number
KUK-C1-013-04Date
2013-04-30Online Publication Date
2013-04-30Print Publication Date
2013-01Permanent link to this record
http://hdl.handle.net/10754/597715
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Show full item recordAbstract
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. Copyright © 2013 Australian Mathematical Society.Citation
WAKE GC, BYRNE HM (2013) CALCULUS FROM THE PAST: MULTIPLE DELAY SYSTEMS ARISING IN CANCER CELL MODELLING. The ANZIAM Journal 54: 117–126. Available: http://dx.doi.org/10.1017/S1446181113000102.Sponsors
This paper is based on work supported in part by Award No. KUK-C1-013-04 made by King Abdullah University of Science and Technology (KAUST). Thanks are due to Mr. Ali Ashher Zaidi, Ph.D. candidate at Massey University, for the software for the diagrams in Figures 2 and 4, and research assistant Miss Andrea Babylon for technical assistance. We also thank Dr. Kate Simms and her co-workers as well as Springer-Verlag for permission to reproduce Figure 3.Publisher
Cambridge University Press (CUP)Journal
The ANZIAM Journalae974a485f413a2113503eed53cd6c53
10.1017/S1446181113000102