Literature DB >> 2250141

A nonlinear structured population model of tumor growth with quiescence.

M Gyllenberg1, G F Webb.   

Abstract

A nonlinear structured cell population model of tumor growth is considered. The model distinguishes between two types of cells within the tumor: proliferating and quiescent. Within each class the behavior of individual cells depends on cell size, whereas the probabilities of becoming quiescent and returning to the proliferative cycle are in addition controlled by total tumor size. The asymptotic behavior of solutions of the full nonlinear model, as well as some linear special cases, is investigated using spectral theory of positive simigroup of operators.

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Year:  1990        PMID: 2250141     DOI: 10.1007/bf00160231

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  12 in total

1.  Asymptotic behavior of a nonlinear functional-integral equation of cell kinetics with unequal division.

Authors:  O Arino; M Kimmel
Journal:  J Math Biol       Date:  1989       Impact factor: 2.259

2.  A Fokker-Planck equation for growing cell populations.

Authors:  C V van der Mee; P F Zweifel
Journal:  J Math Biol       Date:  1987       Impact factor: 2.259

Review 3.  The kinetics of tumour cell proliferation and radiotherapy.

Authors:  M Tubiana
Journal:  Br J Radiol       Date:  1971-05       Impact factor: 3.039

4.  Globally asymptotic properties of proliferating cell populations.

Authors:  A Lasota; M C Mackey
Journal:  J Math Biol       Date:  1984       Impact factor: 2.259

5.  Theory of distributed quiescent state in the cell cycle.

Authors:  M Rotenberg
Journal:  J Theor Biol       Date:  1982-06-07       Impact factor: 2.691

6.  Cell growth and division. I. A mathematical model with applications to cell volume distributions in mammalian suspension cultures.

Authors:  G I Bell; E C Anderson
Journal:  Biophys J       Date:  1967-07       Impact factor: 4.033

7.  Rate of growth of solid tumours as a problem of diffusion.

Authors:  A C Burton
Journal:  Growth       Date:  1966-06

8.  Quiescence as an explanation of Gompertzian tumor growth.

Authors:  M Gyllenberg; G F Webb
Journal:  Growth Dev Aging       Date:  1989 Spring-Summer

9.  Growth dynamics of multicell spheroids from three murine tumors.

Authors:  A O Martinez; R J Griego
Journal:  Growth       Date:  1980-06

10.  The relation between cell proliferation and the vascular system in a transplanted mouse mammary tumour.

Authors:  I F Tannock
Journal:  Br J Cancer       Date:  1968-06       Impact factor: 7.640

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  22 in total

1.  A resource-based model of microbial quiescence.

Authors:  Tufail Malik; Hal Smith
Journal:  J Math Biol       Date:  2006-05-06       Impact factor: 2.259

Review 2.  Hyperbolic and kinetic models for self-organized biological aggregations and movement: a brief review.

Authors:  Raluca Eftimie
Journal:  J Math Biol       Date:  2011-07-01       Impact factor: 2.259

3.  Structured models of cell migration incorporating molecular binding processes.

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4.  Multiscale modeling of tumor growth induced by circadian rhythm disruption in epithelial tissue.

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Review 5.  A survey of structured cell population dynamics.

Authors:  O Arino
Journal:  Acta Biotheor       Date:  1995-06       Impact factor: 1.774

6.  ON CLASSES OF EQUIVALENCE AND IDENTIFIABILITY OF AGE-DEPENDENT BRANCHING PROCESSES.

Authors:  Rui Chen; Ollivier Hyrien
Journal:  Adv Appl Probab       Date:  2014-09       Impact factor: 0.690

7.  Estimation of cell proliferation dynamics using CFSE data.

Authors:  H T Banks; Karyn L Sutton; W Clayton Thompson; Gennady Bocharov; Dirk Roose; Tim Schenkel; Andreas Meyerhans
Journal:  Bull Math Biol       Date:  2010-03-03       Impact factor: 1.758

8.  Modeling progression in radiation-induced lung adenocarcinomas.

Authors:  Hatim Fakir; Werner Hofmann; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2010-01-08       Impact factor: 1.925

9.  An age-and-cyclin-structured cell population model for healthy and tumoral tissues.

Authors:  Fadia Bekkal Brikci; Jean Clairambault; Benjamin Ribba; Benoît Perthame
Journal:  J Math Biol       Date:  2007-12-07       Impact factor: 2.259

10.  A theoretical explanation of "concomitant resistance".

Authors:  S Michelson; J T Leith
Journal:  Bull Math Biol       Date:  1995-09       Impact factor: 1.758

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