Literature DB >> 25480478

Modeling the effects of space structure and combination therapies on phenotypic heterogeneity and drug resistance in solid tumors.

Alexander Lorz1, Tommaso Lorenzi, Jean Clairambault, Alexandre Escargueil, Benoît Perthame.   

Abstract

Histopathological evidence supports the idea that the emergence of phenotypic heterogeneity and resistance to cytotoxic drugs can be considered as a process of selection in tumor cell populations. In this framework, can we explain intra-tumor heterogeneity in terms of selection driven by the local cell environment? Can we overcome the emergence of resistance and favor the eradication of cancer cells by using combination therapies? Bearing these questions in mind, we develop a model describing cell dynamics inside a tumor spheroid under the effects of cytotoxic and cytostatic drugs. Cancer cells are assumed to be structured as a population by two real variables standing for space position and the expression level of a phenotype of resistance to cytotoxic drugs. The model takes explicitly into account the dynamics of resources and anticancer drugs as well as their interactions with the cell population under treatment. We analyze the effects of space structure and combination therapies on phenotypic heterogeneity and chemotherapeutic resistance. Furthermore, we study the efficacy of combined therapy protocols based on constant infusion and bang-bang delivery of cytotoxic and cytostatic drugs.

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Year:  2014        PMID: 25480478     DOI: 10.1007/s11538-014-0046-4

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


  15 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.  Investigation of solid tumor progression with account of proliferation/migration dichotomy via Darwinian mathematical model.

Authors:  Maxim Kuznetsov; Andrey Kolobov
Journal:  J Math Biol       Date:  2019-10-01       Impact factor: 2.259

3.  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

4.  Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations.

Authors:  Tommaso Lorenzi; Rebecca H Chisholm; Jean Clairambault
Journal:  Biol Direct       Date:  2016-08-23       Impact factor: 4.540

Review 5.  Cell plasticity in cancer cell populations.

Authors:  Shensi Shen; Jean Clairambault
Journal:  F1000Res       Date:  2020-06-22

6.  Reveal the Regulation Patterns of Prognosis-Related miRNAs and lncRNAs Across Solid Tumors in the Cancer Genome Atlas.

Authors:  Zuojing Yin; Qiming Wang; Xinmiao Yan; Lu Zhang; Kailin Tang; Zhiwei Cao; Tianyi Qiu
Journal:  Front Cell Dev Biol       Date:  2020-05-25

7.  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

8.  Mass concentration in a nonlocal model of clonal selection.

Authors:  J-E Busse; P Gwiazda; A Marciniak-Czochra
Journal:  J Math Biol       Date:  2016-03-03       Impact factor: 2.259

9.  A Mathematical Study of the Influence of Hypoxia and Acidity on the Evolutionary Dynamics of Cancer.

Authors:  Giada Fiandaca; Marcello Delitala; Tommaso Lorenzi
Journal:  Bull Math Biol       Date:  2021-06-15       Impact factor: 1.758

10.  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

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