Literature DB >> 24553772

The impact of cell density and mutations in a model of multidrug resistance in solid tumors.

James Greene1, Orit Lavi, Michael M Gottesman, Doron Levy.   

Abstract

In this paper we develop a mathematical framework for describing multidrug resistance in cancer. To reflect the complexity of the underlying interplay between cancer cells and the therapeutic agent, we assume that the resistance level is a continuous parameter. Our model is written as a system of integro-differential equations that are parameterized by the resistance level. This model incorporates the cell density and mutation dependence. Analysis and simulations of the model demonstrate how the dynamics evolves to a selection of one or more traits corresponding to different levels of resistance. The emerging limit distribution with nonzero variance is the desirable modeling outcome as it represents tumor heterogeneity.

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Year:  2014        PMID: 24553772      PMCID: PMC4794109          DOI: 10.1007/s11538-014-9936-8

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  39 in total

1.  An elementary approach to modeling drug resistance in cancer.

Authors:  Cristian Tomasetti; Doron Levy
Journal:  Math Biosci Eng       Date:  2010-10       Impact factor: 2.080

2.  Dynamics of targeted cancer therapy.

Authors:  Ivana Bozic; Benjamin Allen; Martin A Nowak
Journal:  Trends Mol Med       Date:  2012-05-15       Impact factor: 11.951

3.  Unifying evolutionary dynamics: from individual stochastic processes to macroscopic models.

Authors:  Nicolas Champagnat; Régis Ferrière; Sylvie Méléard
Journal:  Theor Popul Biol       Date:  2006-02-07       Impact factor: 1.570

4.  Mechanisms of multidrug resistance in cancer.

Authors:  Jean-Pierre Gillet; Michael M Gottesman
Journal:  Methods Mol Biol       Date:  2010

Review 5.  The dynamics of drug resistance: a mathematical perspective.

Authors:  Orit Lavi; Michael M Gottesman; Doron Levy
Journal:  Drug Resist Updat       Date:  2012-03-03       Impact factor: 18.500

6.  A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment.

Authors:  Andrew M Stein; Tim Demuth; David Mobley; Michael Berens; Leonard M Sander
Journal:  Biophys J       Date:  2006-10-13       Impact factor: 4.033

Review 7.  Mechanism of cell adaptation: when and how do cancer cells develop chemoresistance?

Authors:  Valentina Fodale; Mariaelena Pierobon; Lance Liotta; Emanuel Petricoin
Journal:  Cancer J       Date:  2011 Mar-Apr       Impact factor: 3.360

8.  Stochastic modeling of drug resistance in cancer.

Authors:  Natalia Komarova
Journal:  J Theor Biol       Date:  2005-09-27       Impact factor: 2.691

9.  A dual-fluorescence high-throughput cell line system for probing multidrug resistance.

Authors:  Kyle R Brimacombe; Matthew D Hall; Douglas S Auld; James Inglese; Christopher P Austin; Michael M Gottesman; King-Leung Fung
Journal:  Assay Drug Dev Technol       Date:  2009-06       Impact factor: 1.738

10.  Controlled breast cancer microarrays for the deconvolution of cellular multilayering and density effects upon drug responses.

Authors:  Maria Håkanson; Stefan Kobel; Matthias P Lutolf; Marcus Textor; Edna Cukierman; Mirren Charnley
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

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  8 in total

1.  Microenvironmental Niches and Sanctuaries: A Route to Acquired Resistance.

Authors:  Judith Pérez-Velázquez; Jana L Gevertz; Aleksandra Karolak; Katarzyna A Rejniak
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

2.  Limiting the development of anti-cancer drug resistance in a spatial model of micrometastases.

Authors:  Ami B Shah; Katarzyna A Rejniak; Jana L Gevertz
Journal:  Math Biosci Eng       Date:  2016-12-01       Impact factor: 2.080

3.  Interdependence theory of tissue failure: bulk and boundary effects.

Authors:  Daniel Suma; Aylin Acun; Pinar Zorlutuna; Dervis Can Vural
Journal:  R Soc Open Sci       Date:  2018-02-21       Impact factor: 2.963

4.  Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment.

Authors:  James M Greene; Jana L Gevertz; Eduardo D Sontag
Journal:  JCO Clin Cancer Inform       Date:  2019-04

Review 5.  A Review of Mathematical Models for Tumor Dynamics and Treatment Resistance Evolution of Solid Tumors.

Authors:  Anyue Yin; Dirk Jan A R Moes; Johan G C van Hasselt; Jesse J Swen; Henk-Jan Guchelaar
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-08-09

6.  Mathematical modeling of therapeutic neural stem cell migration in mouse brain with and without brain tumors.

Authors:  Justin Gomez; Nathanael Holmes; Austin Hansen; Vikram Adhikarla; Margarita Gutova; Russell C Rockne; Heyrim Cho
Journal:  Math Biosci Eng       Date:  2022-01-07       Impact factor: 2.080

7.  Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer.

Authors:  Santiago D Cárdenas; Constance J Reznik; Ruchira Ranaweera; Feifei Song; Christine H Chung; Elana J Fertig; Jana L Gevertz
Journal:  NPJ Syst Biol Appl       Date:  2022-09-08

8.  Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy.

Authors:  Hang Xie; Yang Jiao; Qihui Fan; Miaomiao Hai; Jiaen Yang; Zhijian Hu; Yue Yang; Jianwei Shuai; Guo Chen; Ruchuan Liu; Liyu Liu
Journal:  PLoS One       Date:  2018-10-26       Impact factor: 3.240

  8 in total

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