Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: from Theoretical Biology to Mathematical Models

Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer,... Curr Stem Cell Rep (2017) 3:260–268 DOI 10.1007/s40778-017-0098-0 MATHEMATICAL MODELS OF STEM CELL BEHAVIOR (M KOHANDEL, SECTION EDITOR) Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: from Theoretical Biology to Mathematical Models 1,2,3,4,5 6,7 8,9 Aaron Goldman & Mohammad Kohandel & Jean Clairambault Published online: 3 August 2017 Springer International Publishing AG 2017 Abstract erogeneity and evolutionary behavior. We further explore Purpose of Review Despite the promise of targeted cancer mathematical modeling as a theoretical tool to analyze and therapy (i.e., drugs targeted towards specific signaling path- predict the behavior of cancer cell populations as a whole, ways supposed to be essential to the survival and proliferation and not only of individual cells, which may reveal new clues of cancer cells), unexpected treatment failures in the clinic are to therapy failure and ways to overcome it. common. Tumor cell heterogeneity, which can result from the Recent Findings An evolutionary perspective that relies on plasticity of individual cancer cells and/or evolutionary dy- the “atavistic theory of cancer” together with the so-called namics, has revealed the importance to study cancer at the “cold genes”, and the involvement of “bet hedging” in tu- level of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Stem Cell Reports Springer Journals

Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: from Theoretical Biology to Mathematical Models

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by Springer International Publishing AG
Subject
Life Sciences; Cell Biology; Stem Cells
eISSN
2198-7866
D.O.I.
10.1007/s40778-017-0098-0
Publisher site
See Article on Publisher Site

Abstract

Curr Stem Cell Rep (2017) 3:260–268 DOI 10.1007/s40778-017-0098-0 MATHEMATICAL MODELS OF STEM CELL BEHAVIOR (M KOHANDEL, SECTION EDITOR) Integrating Biological and Mathematical Models to Explain and Overcome Drug Resistance in Cancer, Part 2: from Theoretical Biology to Mathematical Models 1,2,3,4,5 6,7 8,9 Aaron Goldman & Mohammad Kohandel & Jean Clairambault Published online: 3 August 2017 Springer International Publishing AG 2017 Abstract erogeneity and evolutionary behavior. We further explore Purpose of Review Despite the promise of targeted cancer mathematical modeling as a theoretical tool to analyze and therapy (i.e., drugs targeted towards specific signaling path- predict the behavior of cancer cell populations as a whole, ways supposed to be essential to the survival and proliferation and not only of individual cells, which may reveal new clues of cancer cells), unexpected treatment failures in the clinic are to therapy failure and ways to overcome it. common. Tumor cell heterogeneity, which can result from the Recent Findings An evolutionary perspective that relies on plasticity of individual cancer cells and/or evolutionary dy- the “atavistic theory of cancer” together with the so-called namics, has revealed the importance to study cancer at the “cold genes”, and the involvement of “bet hedging” in tu- level of

Journal

Current Stem Cell ReportsSpringer Journals

Published: Aug 3, 2017

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