Literature DB >> 10748282

Analysis of a mathematical model of the effect of inhibitors on the growth of tumors.

S Cui1, A Friedman.   

Abstract

In this paper, we study a model of tumor growth in the presence of inhibitors. The tumor is assumed to be spherically symmetric and its boundary is an unknown function r=R(t). Within the tumor the concentration of nutrient and the concentration of inhibitor (drug) satisfy a system of reaction-diffusion equations. The important parameters are Lambda(0) (which depends on the tumor's parameters when no inhibitors are present), gamma which depends only on the specific properties of the inhibitor, and beta; which is the (normalized) external concentration of the inhibitor. In this paper, we give precise conditions under which there exist one dormant tumor, two dormant tumors, or none. We then prove that in the first case, the dormant tumor is globally asymptotically stable, and in the second case, if the radii of the dormant tumors are denoted by R(s)(-),R(s)(+) with R(s)(-)<R(s)(+), then the smaller one is asymptotically stable, so that lim(t-->infinity)R(t)=R(s)(-), provided the initial radius R(0) is smaller than R(s)(+); if however R(0)R(s)(+) then the initial tumor in general grows unboundedly in time. The above analysis suggests an effective strategy for treatment of tumors.

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Year:  2000        PMID: 10748282     DOI: 10.1016/s0025-5564(99)00063-2

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  5 in total

1.  The competitive dynamics between tumor cells, a replication-competent virus and an immune response.

Authors:  Youshan Tao; Qian Guo
Journal:  J Math Biol       Date:  2005-03-15       Impact factor: 2.259

2.  Experimental method and statistical analysis to fit tumor growth model using SPECT/CT imaging: a preclinical study.

Authors:  Ivan Hidrovo; Joyoni Dey; Megan E Chesal; Dmytro Shumilov; Narayan Bhusal; J Michael Mathis
Journal:  Quant Imaging Med Surg       Date:  2017-06

3.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

Authors:  J S Lowengrub; H B Frieboes; F Jin; Y-L Chuang; X Li; P Macklin; S M Wise; V Cristini
Journal:  Nonlinearity       Date:  2010

4.  Analysis of a model of a virus that replicates selectively in tumor cells.

Authors:  Avner Friedman; Youshan Tao
Journal:  J Math Biol       Date:  2003-06-12       Impact factor: 2.259

5.  A Time-Delayed Mathematical Model for Tumor Growth with the Effect of a Periodic Therapy.

Authors:  Shihe Xu; Xiangqing Wei; Fangwei Zhang
Journal:  Comput Math Methods Med       Date:  2016-05-05       Impact factor: 2.238

  5 in total

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