Cell division patterns in acute myeloid leukemia stem-like cells determine clinical course: a model to predict patient survival.

@article{Stiehl2015CellDP,
  title={Cell division patterns in acute myeloid leukemia stem-like cells determine clinical course: a model to predict patient survival.},
  author={Thomas Stiehl and Natalia Baran and Anthony D. Ho and Anna Marciniak-Czochra},
  journal={Cancer research},
  year={2015},
  volume={75 6},
  pages={940-9}
}
Acute myeloid leukemia (AML) is a heterogeneous disease in which a variety of distinct genetic alterations might occur. Recent attempts to identify the leukemia stem-like cells (LSC) have also indicated heterogeneity of these cells. On the basis of mathematical modeling and computer simulations, we have provided evidence that proliferation and self-renewal rates of the LSC population have greater impact on the course of disease than proliferation and self-renewal rates of leukemia blast… CONTINUE READING
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