Literature DB >> 20933571

Insights into leukemia-initiating cell frequency and self-renewal from a novel canine model of leukemia.

Suzan Imren1, Xiao-Bing Zhang, R Keith Humphries, Hans-Peter Kiem.   

Abstract

OBJECTIVE: Leukemia-initiating cells (LICs) have been the subject of considerable investigation because of their ability to self-renew and maintain leukemia. Thus, selective targeting and killing of LICs would provide highly efficient and novel therapeutic strategies. Here we explored whether we could use a canine leukemia cell line (G374) derived from a dog that received HOXB4-transduced repopulating cells to study leukemia in the murine xenograft model and the dog.
MATERIALS AND METHODS: G374 cells were infused in dogs intravenously and in nonobese diabetic/severe combined immunodeficient and nonobese diabetic/severe combined immunodeficient/IL2Rγ(null) mice either intravenously or directly into the bone cavity. Animals were bled to track engraftment and proliferation of G374 cells, and were sacrificed when they appeared ill.
RESULTS: We found that canine LICs are capable of sustained in vitro self-renewal while maintaining their ability to induce acute myeloid leukemia, which resembles human disease in both dogs and mice. Furthermore, we developed a novel strategy for the quantification of LIC frequency in large animals and showed that this frequency was highly comparable to that determined by limited dilution in mouse xenotransplants. We also demonstrated, using single-cell analysis, that LICs are heterogeneous in their self-renewal capacity and regenerate a leukemic cell population consistent with a hierarchical leukemia model.
CONCLUSIONS: The availability of this novel framework should accelerate the characterization of LICs and the translation of animal studies into clinical trials.
Copyright © 2011. Published by Elsevier Inc.

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Year:  2010        PMID: 20933571      PMCID: PMC3291513          DOI: 10.1016/j.exphem.2010.09.012

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  33 in total

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