Literature DB >> 21779452

Evolutionary dynamics of chronic myeloid leukemia.

David Dingli1, Arne Traulsen, Tom Lenaerts, Jorge M Pacheco.   

Abstract

Cancer is an evolutionary process that arises due to mutations and expands through the selection of clones with higher reproductive success that will outcompete their peers. Most tumors require many mutations to explain the cancer phenotype, making it difficult to identify the gene(s) that confer the reproductive fitness to the clone. Moreover, the impact of any oncogene is context dependent: it can increase the fitness of particular stages of cell differentiation but not other stages. In addition, the fitness advantage of an oncogene is not irreversible: sometimes it can be reversed with targeted therapy, for example. The understanding of these dynamical processes and their consequences may be greatly simplified when addressed from an evolutionary perspective. Using the dynamics of chronic myeloid leukemia-perhaps the best understood human neoplasm-as an example, we show how three fundamental evolutionary behaviors provide insights into the dynamics of this disease: (1) BCR-ABL does not affect the reproductive success of any cell within the stem cell pool (resulting therefore in neutral drift), (2) BCR-ABL expression gives a fitness (selective) advantage to progenitor cells, and (3) imatinib therapy reduces the fitness of progenitor cells expressing the oncogene (selective disadvantage) and consequently leads to significant reductions in disease burden. These three different evolutionary dynamics scenarios based on the interpretation of mutation and gene expression as potentially leading to a fitness imbalance of cell populations clearly explain the course of the disease, providing as such a better grasp of cancer dynamics and the role of related therapies.

Entities:  

Keywords:  clonal expansion; mutant fitness; oncogenes; selection; small-molecule inhibitors

Year:  2010        PMID: 21779452      PMCID: PMC3092198          DOI: 10.1177/1947601910371122

Source DB:  PubMed          Journal:  Genes Cancer        ISSN: 1947-6019


  75 in total

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Review 8.  The cancer genome.

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Authors:  David Dingli; Jorge M Pacheco
Journal:  PLoS One       Date:  2006-12-20       Impact factor: 3.240

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3.  On the dynamics of neutral mutations in a mathematical model for a homogeneous stem cell population.

Authors:  Arne Traulsen; Tom Lenaerts; Jorge M Pacheco; David Dingli
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4.  Stochastic dynamics and the evolution of mutations in stem cells.

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  6 in total

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