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      Evolutionary Dynamics of Intratumor Heterogeneity

      research-article
      1 , 2 , *
      PLoS ONE
      Public Library of Science

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          Abstract

          Intraneoplastic diversity in human tumors is a widespread phenomenon of critical importance for tumor progression and the response to therapeutic intervention. Insights into the evolutionary events that control tumor heterogeneity would be a major breakthrough in our comprehension of cancer development and could lead to more effective prevention methods and therapies. In this paper, we design an evolutionary mathematical framework to study the dynamics of heterogeneity over time. We consider specific situations arising during tumorigenesis, such as the emergence of positively selected mutations (“drivers”) and the accumulation of neutral variation (“passengers”). We perform exact computer simulations of the emergence of diverse tumor cell clones over time, and derive analytical estimates for the extent of heterogeneity within a population of cancer cells. Our methods contribute to a quantitative understanding of tumor heterogeneity and the impact of heritable alterations on this tumor trait.

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          Most cited references36

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          The hitch-hiking effect of a favourable gene.

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            THE NUMBER OF ALLELES THAT CAN BE MAINTAINED IN A FINITE POPULATION.

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              • Record: found
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              Measuring Biological Diversity

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                30 March 2011
                : 6
                : 3
                : e17866
                Affiliations
                [1 ]Department of Biology, Faculty of Sciences, Kyushu University, Fukuoka, Japan
                [2 ]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America
                University of Oxford, United Kingdom
                Author notes

                Conceived and designed the experiments: YI FM. Performed the experiments: YI FM. Analyzed the data: YI FM. Contributed reagents/materials/analysis tools: YI FM. Wrote the paper: YI FM.

                Article
                PONE-D-10-01692
                10.1371/journal.pone.0017866
                3068148
                21479218
                a55acebe-b42e-4893-af78-2dd16aad40cd
                Iwasa, Michor. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 13 September 2010
                : 16 February 2011
                Page count
                Pages: 8
                Categories
                Research Article
                Biology
                Computational Biology
                Population Genetics
                Mutation
                Natural Selection
                Neutral Theory
                Evolutionary Modeling
                Systems Biology
                Mathematics
                Applied Mathematics
                Complex Systems
                Medicine
                Oncology
                Basic Cancer Research
                Tumor Physiology

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                Uncategorized

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