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Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors

Overview of attention for article published in PLoS Computational Biology, May 2011
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Title
Modeling Evolutionary Dynamics of Epigenetic Mutations in Hierarchically Organized Tumors
Published in
PLoS Computational Biology, May 2011
DOI 10.1371/journal.pcbi.1001132
Pubmed ID
Authors

Andrea Sottoriva, Louis Vermeulen, Simon Tavaré

Abstract

The cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation) sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-)hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model.

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The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 10%
France 2 1%
Switzerland 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Iran, Islamic Republic of 1 <1%
Unknown 117 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 26%
Researcher 36 26%
Professor > Associate Professor 18 13%
Student > Master 14 10%
Student > Bachelor 10 7%
Other 18 13%
Unknown 7 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 41%
Biochemistry, Genetics and Molecular Biology 19 14%
Mathematics 11 8%
Medicine and Dentistry 9 6%
Physics and Astronomy 8 6%
Other 20 14%
Unknown 15 11%