Literature DB >> 26126947

Spatial Moran models, II: cancer initiation in spatially structured tissue.

R Durrett1, J Foo2, K Leder3.   

Abstract

We study the accumulation and spread of advantageous mutations in a spatial stochastic model of cancer initiation on a lattice. The parameters of this general model can be tuned to study a variety of cancer types and genetic progression pathways. This investigation contributes to an understanding of how the selective advantage of cancer cells together with the rates of mutations driving cancer, impact the process and timing of carcinogenesis. These results can be used to give insights into tumor heterogeneity and the "cancer field effect," the observation that a malignancy is often surrounded by cells that have undergone premalignant transformation.

Entities:  

Keywords:  Asymptotics for waiting times; Biased voter model; Cancer field effect; Shape theorem

Mesh:

Year:  2015        PMID: 26126947      PMCID: PMC4947874          DOI: 10.1007/s00285-015-0912-1

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  14 in total

1.  The Stepping Stone Model of Population Structure and the Decrease of Genetic Correlation with Distance.

Authors:  M Kimura; G H Weiss
Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

2.  Accumulation of driver and passenger mutations during tumor progression.

Authors:  Ivana Bozic; Tibor Antal; Hisashi Ohtsuki; Hannah Carter; Dewey Kim; Sining Chen; Rachel Karchin; Kenneth W Kinzler; Bert Vogelstein; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-27       Impact factor: 11.205

3.  Stochastic model for abnormal clone spread through epithelial basal layer.

Authors:  T Williams; R Bjerknes
Journal:  Nature       Date:  1972-03-03       Impact factor: 49.962

4.  A simple proof that certain quantities are independent of the geographical structure of population.

Authors:  T Maruyama
Journal:  Theor Popul Biol       Date:  1974-04       Impact factor: 1.570

5.  On the fixation probability of mutant genes in a subdivided population.

Authors:  T Maruyama
Journal:  Genet Res       Date:  1970-04       Impact factor: 1.588

6.  Spatial structure increases the waiting time for cancer.

Authors:  Erik A Martens; Rumen Kostadinov; Carlo C Maley; Oskar Hallatschek
Journal:  New J Phys       Date:  2011-11-28       Impact factor: 3.729

7.  Spatial stochastic models of cancer: fitness, migration, invasion.

Authors:  Natalia L Komarova
Journal:  Math Biosci Eng       Date:  2013-06       Impact factor: 2.080

8.  Multifocality and recurrence risk: a quantitative model of field cancerization.

Authors:  Jasmine Foo; Kevin Leder; Marc D Ryser
Journal:  J Theor Biol       Date:  2014-04-13       Impact factor: 2.691

9.  Interfering waves of adaptation promote spatial mixing.

Authors:  Erik A Martens; Oskar Hallatschek
Journal:  Genetics       Date:  2011-09-06       Impact factor: 4.562

10.  Waiting for two mutations: with applications to regulatory sequence evolution and the limits of Darwinian evolution.

Authors:  Rick Durrett; Deena Schmidt
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

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  11 in total

Review 1.  Modeling head and neck cancer stem cell-mediated tumorigenesis.

Authors:  Alexander T Pearson; Trachette L Jackson; Jacques E Nör
Journal:  Cell Mol Life Sci       Date:  2016-05-05       Impact factor: 9.261

2.  Passenger mutations can accelerate tumour suppressor gene inactivation in cancer evolution.

Authors:  Dominik Wodarz; Alan C Newell; Natalia L Komarova
Journal:  J R Soc Interface       Date:  2018-06       Impact factor: 4.118

3.  Spatial Measures of Genetic Heterogeneity During Carcinogenesis.

Authors:  K Storey; M D Ryser; K Leder; J Foo
Journal:  Bull Math Biol       Date:  2016-11-30       Impact factor: 1.758

4.  Quantifying the Dynamics of Field Cancerization in Tobacco-Related Head and Neck Cancer: A Multiscale Modeling Approach.

Authors:  Marc D Ryser; Walter T Lee; Neal E Ready; Kevin Z Leder; Jasmine Foo
Journal:  Cancer Res       Date:  2016-10-20       Impact factor: 12.701

5.  A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity.

Authors:  Bartlomiej Waclaw; Ivana Bozic; Meredith E Pittman; Ralph H Hruban; Bert Vogelstein; Martin A Nowak
Journal:  Nature       Date:  2015-08-26       Impact factor: 49.962

6.  Moran Model of Spatial Alignment in Microbial Colonies.

Authors:  B R Karamched; W Ott; I Timofeyev; R N Alnahhas; M R Bennett; K Josić
Journal:  Physica D       Date:  2019-02-18       Impact factor: 2.300

7.  An exactly solvable, spatial model of mutation accumulation in cancer.

Authors:  Chay Paterson; Martin A Nowak; Bartlomiej Waclaw
Journal:  Sci Rep       Date:  2016-12-22       Impact factor: 4.379

8.  The role of backward cell migration in two-hit mutants' production in the stem cell niche.

Authors:  Audrey Bollas; Leili Shahriyari
Journal:  PLoS One       Date:  2017-09-20       Impact factor: 3.240

9.  Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia.

Authors:  James J Winkle; Bhargav R Karamched; Matthew R Bennett; William Ott; Krešimir Josić
Journal:  PLoS Comput Biol       Date:  2021-09-22       Impact factor: 4.475

10.  Patterns of Tumor Progression Predict Small and Tissue-Specific Tumor-Originating Niches.

Authors:  Thomas Buder; Andreas Deutsch; Barbara Klink; Anja Voss-Böhme
Journal:  Front Oncol       Date:  2019-01-10       Impact factor: 6.244

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