Literature DB >> 16497335

Dynamics of metastasis suppressor gene inactivation.

Franziska Michor1, Yoh Iwasa.   

Abstract

For most cancer cell types, the acquisition of metastatic ability leads to clinically incurable disease. Twelve metastasis suppressor genes (MSGs) have been identified that reduce the metastatic propensity of cancer cells. If these genes are inactivated in both alleles, metastatic ability is promoted. Here, we develop a mathematical model of the dynamics of MSG inactivation and calculate the expected number of metastases formed by a tumor. We analyse the effects of increased mutation rates and different fitness values of cells with one or two inactivated alleles on the ability of a tumor to form metastases. We find that mutations that are negatively selected in the main tumor are unlikely to be responsible for the majority of metastases produced by a tumor. Most metastases-causing mutations will be present in all (or most) cells in the main tumor.

Entities:  

Mesh:

Year:  2006        PMID: 16497335     DOI: 10.1016/j.jtbi.2006.01.006

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


  8 in total

1.  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

2.  Stochastic dynamics of cancer initiation.

Authors:  Jasmine Foo; Kevin Leder; Franziska Michor
Journal:  Phys Biol       Date:  2011-02-07       Impact factor: 2.583

3.  DPC4 gene status of the primary carcinoma correlates with patterns of failure in patients with pancreatic cancer.

Authors:  Christine A Iacobuzio-Donahue; Baojin Fu; Shinichi Yachida; Mingde Luo; Hisashi Abe; Clark M Henderson; Felip Vilardell; Zheng Wang; Jesse W Keller; Priya Banerjee; Joseph M Herman; John L Cameron; Charles J Yeo; Marc K Halushka; James R Eshleman; Marian Raben; Alison P Klein; Ralph H Hruban; Manuel Hidalgo; Daniel Laheru
Journal:  J Clin Oncol       Date:  2009-03-09       Impact factor: 44.544

4.  The evolution of two mutations during clonal expansion.

Authors:  Hiroshi Haeno; Yoh Iwasa; Franziska Michor
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

5.  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

6.  The evolution of tumor metastasis during clonal expansion with alterations in metastasis driver genes.

Authors:  Kimiyo N Yamamoto; Akira Nakamura; Hiroshi Haeno
Journal:  Sci Rep       Date:  2015-10-30       Impact factor: 4.379

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

Review 8.  Computational systems biology in cancer brain metastasis.

Authors:  Huiming Peng; Hua Tan; Weiling Zhao; Guangxu Jin; Sambad Sharma; Fei Xing; Kounosuke Watabe; Xiaobo Zhou
Journal:  Front Biosci (Schol Ed)       Date:  2016-01-01
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.