Literature DB >> 16343545

Stochastic dynamics of metastasis formation.

Franziska Michor1, Martin A Nowak, Yoh Iwasa.   

Abstract

Tumor metastasis accounts for the majority of deaths in cancer patients. The metastatic behavior of cancer cells is promoted by mutations in many genes, including activation of oncogenes such as RAS and MYC. Here, we develop a mathematical framework to analyse the dynamics of mutations enabling cells to metastasize. We consider situations in which one mutation is necessary to confer metastatic ability to the cell. We study different population sizes of the main tumor and different somatic fitness values of metastatic cells. We compare mutations that are positively selected in the main tumor with those that are neutral or negatively selected, but faster at forming metastases. We study whether metastatic potential is the property of all (or the majority of) cells in the main tumor or only the property of a small subset. Our theory shows how to calculate the expected number of metastases that are formed by a tumor.

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Year:  2005        PMID: 16343545     DOI: 10.1016/j.jtbi.2005.10.021

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  23 in total

1.  Quantifying introgression risk with realistic population genetics.

Authors:  Atiyo Ghosh; Patrick G Meirmans; Patsy Haccou
Journal:  Proc Biol Sci       Date:  2012-10-10       Impact factor: 5.349

2.  Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies.

Authors:  Hiroshi Haeno; Mithat Gonen; Meghan B Davis; Joseph M Herman; Christine A Iacobuzio-Donahue; Franziska Michor
Journal:  Cell       Date:  2012-01-20       Impact factor: 41.582

3.  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

4.  Evolutionary dynamics of tumor progression with random fitness values.

Authors:  Rick Durrett; Jasmine Foo; Kevin Leder; John Mayberry; Franziska Michor
Journal:  Theor Popul Biol       Date:  2010-05-19       Impact factor: 1.570

5.  Modeling the connection between primary and metastatic tumors.

Authors:  David Diego; Gabriel F Calvo; Víctor M Pérez-García
Journal:  J Math Biol       Date:  2012-07-25       Impact factor: 2.259

6.  Modeling boundary conditions for balanced proliferation in metastatic latency.

Authors:  Donald P Taylor; Jakob Z Wells; Andrej Savol; Chakra Chennubhotla; Alan Wells
Journal:  Clin Cancer Res       Date:  2013-01-17       Impact factor: 12.531

7.  Association of Uveal Melanoma Metastatic Rate With Stochastic Mutation Rate and Type of Mutation.

Authors:  Eszter Szalai; Yi Jiang; Natasha M van Poppelen; Martine J Jager; Annelies de Klein; Emine Kilic; Hans E Grossniklaus
Journal:  JAMA Ophthalmol       Date:  2018-10-01       Impact factor: 7.389

Review 8.  Nanovehicular intracellular delivery systems.

Authors:  Ales Prokop; Jeffrey M Davidson
Journal:  J Pharm Sci       Date:  2008-09       Impact factor: 3.534

Review 9.  Towards a multiscale model of colorectal cancer.

Authors:  Ingeborg M M van Leeuwen; Carina M Edwards; Mohammad Ilyas; Helen M Byrne
Journal:  World J Gastroenterol       Date:  2007-03-07       Impact factor: 5.742

10.  The evolution of tumor metastases during clonal expansion.

Authors:  Hiroshi Haeno; Franziska Michor
Journal:  J Theor Biol       Date:  2009-11-14       Impact factor: 2.691

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