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The steady-states of a multi-compartment, age–size distribution model of cell-growth

Published online by Cambridge University Press:  01 August 2008

R. E. BEGG
Affiliation:
Department of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, New Zealand email: [email protected]
D. J. N. WALL
Affiliation:
Department of Mathematics and Statistics, University of Canterbury, Private Bag 4800, Christchurch, New Zealand email: [email protected]
G. C. WAKE
Affiliation:
Institute of Information and Mathematical Sciences, Massey University, Private Bag 102 904, North Shore Mail Centre, Auckland, New Zealand email: [email protected]

Abstract

A model of cell-growth, describing the evolution of the age–size distribution of cells in different phases of cell-growth, is studied. The model is based on that used in several papers by Basse et al. and is composed of a system of partial differential equations, each describing the changes in the age–size distribution of cells in a specific phase of cell-growth. Here, the ‘age’ of a cell is considered to be the time spent in its current phase of cell-growth, while ‘size’ is considered to be the DNA content of the cell. The existence of steady age–size distributions (SASDs), where the age–size distributions retain the same shape but are scaled up or down as time increases, is investigated and it is shown that SASDs exist. A speculative discussion of the stability of these SASDs is also included, but their stability is not conclusively proved.

Type
Papers
Copyright
Copyright © Cambridge University Press 2008

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References

[1]Basse, B., Baguley, B. C., Marshall, E. S., Joseph, W. R., Brunt, B. van, Wake, G. C. & Wall, D. J. N. (2003) A mathematical model for analysis of the cell cycle in human tumours. J. Math. Biol. 47, 295312.CrossRefGoogle Scholar
[2]Basse, B., Baguley, B. C., Marshall, E. S., Joseph, W. R., Brunt, B. van, Wake, G. C. & Wall, D. J. N. (2004) Modelling cell death in human tumour cell lines exposed to the anticancer drug paclitaxel. J. Math. Biol. 49, 329357.CrossRefGoogle Scholar
[3]Basse, B. & Ubezio, P. (2007) A generalised age- and phase-structured model of human tumour cell populations both unperturbed and exposed to a range of cancer therapies. Bull. Math. Biol. 69, 16731690.CrossRefGoogle ScholarPubMed
[4]Begg, R. (2007) Cell-Population Growth Modelling and Non-Local Differential Equations, PhD thesis, University of Canterbury, New Zealand. http://digital-library.canterbury.ac.nz/data/collection3/etd/adt%2DNZCU20070619.164033/Google Scholar
[5]Bell, G. (1968) Cell growth and division. Conditions for balanced exponential growth in a mathematical model. Biophys. J. 8, 431444.CrossRefGoogle ScholarPubMed
[6]Bell, G. & Anderson, E. (1967) Cell growth and division. Mathematical model with applications to cell volume distributions in mammalian suspension cultures. Biophys. J. 7, 329351.CrossRefGoogle ScholarPubMed
[7]Cannon, J. R. (1984) The One-Dimensional Heat Equation, Cambridge University Press, Cambridge, New York.CrossRefGoogle Scholar
[8]Chuang, S. N. & Lloyd, H. H. (1975) Mathematical analysis of cancer chemotherapy. Bull. Math. Biol. 37 (2)147160.CrossRefGoogle ScholarPubMed
[9]Churchill, R. (1958) Operational Mathematics, McGraw-Hill, 2nd ed.New York.Google Scholar
[10]Churchill, R. (1963) Fourier Series and Boundary Value Problems, McGraw-Hill, 2nd ed.Google Scholar
[11]Diekmann, O., Heijmans, H. J. A. M. & Thieme, H. R. (1984) On the stability of the cell size distribution. J. Math. Biol. 19, 227248.CrossRefGoogle Scholar
[12]Evans, L. C. (1998) Partial Differential Equations, Number 19 in Graduate Studies in Mathematics, American Mathematical Society, Providence, RI.Google Scholar
[13]Gurtin, M. E. & MacCamy, R. C. (1974) Nonlinear age-dependent population dynamics. Arch. Rational Mech. Anal. 54, 281300.CrossRefGoogle Scholar
[14]Gyllenberg, M. & Heijmans, H. J. A. M. (1987) An abstract delay-differential equation modelling size dependent cell growth and division. SIAM J. Math. Anal. 18 (1), 7488.CrossRefGoogle Scholar
[15]Heijmans, H. J. A. M. (1984) On the stable size distribution of populations reproducing by fission into two unequal parts. Math. Biophys. 72, 1950.Google Scholar
[16]Huang, X. C. (1990) An age-dependent population model and its operator. Phys. D. 41, 356380.CrossRefGoogle Scholar
[17]Jones, F. (1993) Lebesgue Integration on Euclidean Space, Jones and Bartlett Publishers. Boston.Google Scholar
[18]Kato, T. (1966) Perturbation Theory for Linear Operators, Die Grundlehren Der Mathematishen Wissenschaften in Einzeldarstellungen, Springer-Verlag.Google Scholar
[19]Kress, R. (1999) Linear Integral Equations, Springer, 2nd ed.New York.CrossRefGoogle Scholar
[20]Lengauer, C., Kinzler, K. W. & Vogelstein, B. (1997) Genetic instability in colorectal cancers. Nature, 386, 623627.CrossRefGoogle ScholarPubMed
[21]Metz, J. A. J. & Diekmann, O. (editors) (1986) The Dynamics of Physiologically Structured Populations, Number 68, Lecture Notes in Lecture Notes in Biomathematics, Berlin, Heidelberg, New York.CrossRefGoogle Scholar
[22]Michel, P., Mischler, S. & Perthame, B. (2005) General relative entropy inequality: An illustration on growth models. J. Math. Pures Appl. 84 (9), 12351260.CrossRefGoogle Scholar
[23]Nooney, G. C. (1967) Age distributions in dividing populations. Biophys. J. 7, 6976.CrossRefGoogle ScholarPubMed
[24]Perthame, B. & Ryzhik, L. (2005) Exponential decay for the fragmentation or cell-division equation. J. Differential Equations 210, 155177.CrossRefGoogle Scholar
[25]Pinsky, R. G. (1995) Positive Harmonic Functions and Diffusion: An Integrated Analytic and Probabilistic Approach, Number 45 in Cambridge studies in advanced mathematics, Cambridge University Press. New York.CrossRefGoogle Scholar
[26]Sherer, E., Hannemann, R. E., Rundell, A. & Ramkrishna, D. (2006) Analysis of resonance chemotherapy in leukemia treatment via multi-staged population balance models. J. Theor. Biol. 240, 648661.CrossRefGoogle ScholarPubMed
[27]Tucker, S. L. & Zimmerman, S. O. (1988) A nonlinear model of population dynamics containing an arbitrary number of continuous structure variables. SIAM J. Appl. Math. 48, 549591.CrossRefGoogle Scholar
[28]Webb, G. F. (1985) Dynamics of populations structured by internal variables. Math. Z. 189, 319335.CrossRefGoogle Scholar