Literature DB >> 3431136

Tumor micro-ecology and competitive interactions.

S Michelson1, B E Miller, A S Glicksman, J T Leith.   

Abstract

Three nested models describing the growth of individual subpopulations in a heterogeneous environment are described. The models represent the dynamics of two populations which compete, to varying degrees, for common resources. The first model describes growth in a totally non-competitive micro-environment, the second model describes an ecology in which competition is proportional to competitor population size, and the third model ecology extends the model described by Jansson & Revesz (1974), which allows one population to emerge from the other. The critical points for each model are defined using the isoclines derived from the Ordinary Differential Equations (ODE's) describing competitive growth. The critical points for each model are characterized by the signs of the eigenvalues of the variational matrix at each point. The theoretical results of the analysis show that a competitive model ecology with Verhulstian logistics allows four critical points: the origin which is a repeller, two competitive exclusion points, and an equilibrium state (Waltman, 1983). The extended model ecology of Jansson & Revesz (1974), allows three critical points: the origin which is a repeller, competitive exclusion of the first population, and an equilibrium point. Data from a human adenocarcinoma of the colon and murine mammary tumors are used as qualitative measures of the dynamics of the three micro-ecologies. Issues such as stochastic extension to model small populations either for clonal extinction or heterogeneous emergence are discussed.

Entities:  

Mesh:

Year:  1987        PMID: 3431136     DOI: 10.1016/s0022-5193(87)80171-6

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

1.  Stochastic models for subpopulation emergence in heterogeneous tumors.

Authors:  S Michelson; K Ito; H T Tran; J T Leith
Journal:  Bull Math Biol       Date:  1989       Impact factor: 1.758

Review 2.  Tumorigenesis: it takes a village.

Authors:  Doris P Tabassum; Kornelia Polyak
Journal:  Nat Rev Cancer       Date:  2015-07-02       Impact factor: 60.716

3.  A mathematical model of periodically pulsed chemotherapy: tumor recurrence and metastasis in a competitive environment.

Authors:  J C Panetta
Journal:  Bull Math Biol       Date:  1996-05       Impact factor: 1.758

4.  Time-dependent subpopulation induction in heterogeneous tumors.

Authors:  I Gyori; S Michelson; J Leith
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

Review 5.  Cellular interactions in metastasis.

Authors:  F R Miller; G H Heppner
Journal:  Cancer Metastasis Rev       Date:  1990-07       Impact factor: 9.264

6.  From passive diffusion to active cellular migration in mathematical models of tumour invasion.

Authors:  P Tracqui
Journal:  Acta Biotheor       Date:  1995-12       Impact factor: 1.774

7.  Autocrine and paracrine growth factors in tumor growth: a mathematical model.

Authors:  S Michelson; J Leith
Journal:  Bull Math Biol       Date:  1991       Impact factor: 1.758

8.  Growth factors and growth control of heterogeneous cell populations.

Authors:  S Michelson; J T Leith
Journal:  Bull Math Biol       Date:  1993-09       Impact factor: 1.758

9.  Darwinian Dynamics of Intratumoral Heterogeneity: Not Solely Random Mutations but Also Variable Environmental Selection Forces.

Authors:  Mark C Lloyd; Jessica J Cunningham; Marilyn M Bui; Robert J Gillies; Joel S Brown; Robert A Gatenby
Journal:  Cancer Res       Date:  2016-03-23       Impact factor: 12.701

10.  Riparian ecosystems in human cancers.

Authors:  Khalid O Alfarouk; Muntaser E Ibrahim; Robert A Gatenby; Joel S Brown
Journal:  Evol Appl       Date:  2012-10-10       Impact factor: 5.183

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.