Literature DB >> 18539964

Mathematical models of cancer stem cells.

Franziska Michor1.   

Abstract

Human cancers are thought to be sustained in their growth by a pathologic counterpart of normal adult stem cells: cancer stem cells. This concept was first developed in human myeloid leukemias and is today being extended to solid tumors such as breast and brain cancers. A quantitative understanding of cancer stem cells requires a mathematical framework to describe the dynamics of cancer initiation and progression, the response to treatment, and the evolution of resistance. In this review, I use chronic myeloid leukemia as an example to discuss how mathematical and computational techniques have been used to gain insights into the biology of cancer stem cells.

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Year:  2008        PMID: 18539964     DOI: 10.1200/JCO.2007.15.2421

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  37 in total

Review 1.  Targeting the leukemic stem cell: the Holy Grail of leukemia therapy.

Authors:  N Misaghian; G Ligresti; L S Steelman; F E Bertrand; J Bäsecke; M Libra; F Nicoletti; F Stivala; M Milella; A Tafuri; M Cervello; A M Martelli; J A McCubrey
Journal:  Leukemia       Date:  2008-09-18       Impact factor: 11.528

Review 2.  Physical oncology: a bench-to-bedside quantitative and predictive approach.

Authors:  Hermann B Frieboes; Mark A J Chaplain; Alastair M Thompson; Elaine L Bearer; John S Lowengrub; Vittorio Cristini
Journal:  Cancer Res       Date:  2011-01-11       Impact factor: 12.701

3.  Stochastic control of proliferation and differentiation in stem cell dynamics.

Authors:  Zheng Sun; Natalia L Komarova
Journal:  J Math Biol       Date:  2014-10-16       Impact factor: 2.259

4.  Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach.

Authors:  Sebastien Benzekry; Amanda Tracz; Michalis Mastri; Ryan Corbelli; Dominique Barbolosi; John M L Ebos
Journal:  Cancer Res       Date:  2015-10-28       Impact factor: 12.701

5.  Acute myeloid leukemia in the real world: why population-based registries are needed.

Authors:  Gunnar Juliusson; Vladimir Lazarevic; Ann-Sofi Hörstedt; Oskar Hagberg; Martin Höglund
Journal:  Blood       Date:  2012-03-01       Impact factor: 22.113

6.  Expanded distribution of the T315I mutation among hematopoietic stem cells and progenitors in a chronic myeloid leukemia patient during imatinib treatment.

Authors:  Yosuke Minami; Tomohiro Kajiguchi; Akihiro Abe; Toshihito Ohno; Hitoshi Kiyoi; Tomoki Naoe
Journal:  Int J Hematol       Date:  2010-10-22       Impact factor: 2.490

7.  Targeting leukemia stem cells: The new goal of therapy in adult acute myeloid leukemia.

Authors:  Xavier Thomas
Journal:  World J Stem Cells       Date:  2009-12-31       Impact factor: 5.326

8.  Analysis of stochastic stem cell models with control.

Authors:  Jienian Yang; Zheng Sun; Natalia L Komarova
Journal:  Math Biosci       Date:  2015-06-11       Impact factor: 2.144

9.  Multispecies model of cell lineages and feedback control in solid tumors.

Authors:  H Youssefpour; X Li; A D Lander; J S Lowengrub
Journal:  J Theor Biol       Date:  2012-03-31       Impact factor: 2.691

Review 10.  Mathematical modeling as a tool for planning anticancer therapy.

Authors:  Andrzej Swierniak; Marek Kimmel; Jaroslaw Smieja
Journal:  Eur J Pharmacol       Date:  2009-10-13       Impact factor: 4.432

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