Spatial stochastic models of cancer: fitness, migration, invasion
- PMID: 23906148
- DOI: 10.3934/mbe.2013.10.761
Spatial stochastic models of cancer: fitness, migration, invasion
Abstract
Cancer progression is driven by genetic and epigenetic events giving rise to heterogeneity of cell phenotypes, and by selection forces that shape the changing composition of tumors. The selection forces are dynamic and depend on many factors. The cells favored by selection are said to be more 'fit'than others. They tend to leave more viable offspring and spread through the population. What cellular characteristics make certain cells more fit than others? What combinations of the mutant characteristics and 'background' characteristics make the mutant cells win the evolutionary competition? In this review we concentrate on two phenotypic characteristics of cells: their reproductive potential and their motility. We show that migration has a direct positive impact on the ability of a single mutant cell to invade a pre-existing colony. Thus, a decrease in the reproductive potential can be compensated by an increase in cell migration. We further demonstrate that the neutral ridges (the set of all types with the invasion probability equal to that of the host cells) remain invariant under the increase of system size (for large system sizes), thus making the invasion probability a universal characteristic of the cells' selection status. We list very general conditions under which the optimal phenotype is just one single strategy (thus leading to a nearly-homogeneous type invading the colony), or a large set of strategies that differ by their reproductive potentials and migration characteristics, but have a nearly-equal fitness. In the latter case the evolutionary competition will result in a highly heterogeneous population.
Similar articles
-
Selection in spatial stochastic models of cancer: migration as a key modulator of fitness.Biol Direct. 2010 Apr 20;5:21. doi: 10.1186/1745-6150-5-21. Biol Direct. 2010. PMID: 20406439 Free PMC article.
-
From invasion to latency: intracellular noise and cell motility as key controls of the competition between resource-limited cellular populations.J Math Biol. 2016 Jan;72(1-2):123-56. doi: 10.1007/s00285-015-0883-2. Epub 2015 Apr 2. J Math Biol. 2016. PMID: 25833187 Free PMC article.
-
Moran-type bounds for the fixation probability in a frequency-dependent Wright-Fisher model.J Math Biol. 2018 Jan;76(1-2):1-35. doi: 10.1007/s00285-017-1137-2. Epub 2017 May 16. J Math Biol. 2018. PMID: 28509259
-
The matrix environmental and cell mechanical properties regulate cell migration and contribute to the invasive phenotype of cancer cells.Rep Prog Phys. 2019 Jun;82(6):064602. doi: 10.1088/1361-6633/ab1628. Epub 2019 Apr 4. Rep Prog Phys. 2019. PMID: 30947151 Review.
-
Mutations, evolution and the central role of a self-defined fitness function in the initiation and progression of cancer.Biochim Biophys Acta Rev Cancer. 2017 Apr;1867(2):162-166. doi: 10.1016/j.bbcan.2017.03.005. Epub 2017 Mar 21. Biochim Biophys Acta Rev Cancer. 2017. PMID: 28341421 Free PMC article. Review.
Cited by
-
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity.Nature. 2015 Sep 10;525(7568):261-4. doi: 10.1038/nature14971. Epub 2015 Aug 26. Nature. 2015. PMID: 26308893 Free PMC article.
-
Oncogenic functions of IGF1R and INSR in prostate cancer include enhanced tumor growth, cell migration and angiogenesis.Oncotarget. 2014 May 15;5(9):2723-35. doi: 10.18632/oncotarget.1884. Oncotarget. 2014. PMID: 24809298 Free PMC article.
-
Spatial Moran models, II: cancer initiation in spatially structured tissue.J Math Biol. 2016 Apr;72(5):1369-400. doi: 10.1007/s00285-015-0912-1. Epub 2015 Jul 1. J Math Biol. 2016. PMID: 26126947 Free PMC article.
-
Multifocality and recurrence risk: a quantitative model of field cancerization.J Theor Biol. 2014 Aug 21;355:170-84. doi: 10.1016/j.jtbi.2014.02.042. Epub 2014 Apr 13. J Theor Biol. 2014. PMID: 24735903 Free PMC article.
-
Evolutionary rescue model informs strategies for driving cancer cell populations to extinction.bioRxiv [Preprint]. 2025 Jan 13:2024.11.26.625315. doi: 10.1101/2024.11.26.625315. bioRxiv. 2025. PMID: 39651238 Free PMC article. Preprint.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Miscellaneous