Literature DB >> 2021934

Population ecology issues in tumor growth.

R A Gatenby1.   

Abstract

Mathematical models developed from population ecology are applied to tumor-host interactions and demonstrate the importance of increased efficiency in substrate absorption as a mechanism enabling tumor cells to (a) proliferate despite inefficient energy production and (b) compete successfully for resources with the numerically superior host cells. As with many biological invasions observed in nature, success of the invaders can be enhanced by disruption of the local ecology if the disruption results in decreased viability of the native populations reducing their ability to inhibit tumor cell growth either directly through an immunological response or indirectly by competition with the tumor cells for available resources. Following successful invasion and displacement of normal cells from a volume of tissue, tumor cells achieve new equilibrium states with the environment based on their efficiency of consumption and the vascularity of the tissue. Tumor therapy may be enhanced by reducing available resources below a level which will support growth of the tumor cells or above a threshold which will allow repopulation by normal cells.

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Year:  1991        PMID: 2021934

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

1.  Population ecology of heterotypic tumour cell cultures.

Authors:  M Sega; R Chignola
Journal:  Cell Prolif       Date:  2014-08-27       Impact factor: 6.831

2.  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

3.  A kinetic view of acid-mediated tumor invasion.

Authors:  Ahmed M Fouad
Journal:  Eur Biophys J       Date:  2018-01-27       Impact factor: 1.733

4.  A general reaction-diffusion model of acidity in cancer invasion.

Authors:  Jessica B McGillen; Eamonn A Gaffney; Natasha K Martin; Philip K Maini
Journal:  J Math Biol       Date:  2013-03-28       Impact factor: 2.259

5.  Adaptive dynamics of unstable cancer populations: The canonical equation.

Authors:  Guim Aguadé-Gorgorió; Ricard Solé
Journal:  Evol Appl       Date:  2018-04-17       Impact factor: 5.183

6.  A Mathematical Framework for Modelling the Metastatic Spread of Cancer.

Authors:  Linnea C Franssen; Tommaso Lorenzi; Andrew E F Burgess; Mark A J Chaplain
Journal:  Bull Math Biol       Date:  2019-03-22       Impact factor: 1.758

7.  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

8.  Niche inheritance: a cooperative pathway to enhance cancer cell fitness through ecosystem engineering.

Authors:  Kimberline R Yang; Steven M Mooney; Jelani C Zarif; Donald S Coffey; Russell S Taichman; Kenneth J Pienta
Journal:  J Cell Biochem       Date:  2014-09       Impact factor: 4.429

9.  Histoecology: Applying Ecological Principles and Approaches to Describe and Predict Tumor Ecosystem Dynamics Across Space and Time.

Authors:  Chandler D Gatenbee; Emily S Minor; Robbert J C Slebos; Christine H Chung; Alexander R A Anderson
Journal:  Cancer Control       Date:  2020 Jul-Aug       Impact factor: 3.302

10.  Transition Therapy: Tackling the Ecology of Tumor Phenotypic Plasticity.

Authors:  Guim Aguadé-Gorgorió; Stuart Kauffman; Ricard Solé
Journal:  Bull Math Biol       Date:  2021-12-27       Impact factor: 1.758

  10 in total

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