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Lessons from mouse models of MPN.

Camelia Benlabiod1, Tracy Dagher1, Caroline Marty1

  • 1INSERM, UMR 1287, Gustave Roussy, Villejuif, France; Université Paris-Saclay, UMR 1287, Gustave Roussy, Villejuif, France; Gustave Roussy, UMR 1287, Villejuif, France.

International Review of Cell and Molecular Biology
|February 14, 2022
PubMed
Summary
This summary is machine-generated.

Mouse models expressing key mutations (JAK2, CALR, MPL) have advanced myeloproliferative neoplasms (MPN) research, aiding understanding of disease mechanisms and therapy development.

Keywords:
Driver and additional mutationsMPNMechanisms of disease initiation and progressionMouse modelsMyelofibrosisPreclinicThrombosis

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Area of Science:

  • Hematology
  • Oncology
  • Genetics

Background:

  • Myeloproliferative neoplasms (MPNs) are driven by mutations like JAK2V617F, CALR, and MPLW515L.
  • Mouse models are crucial for studying MPN pathogenesis and evaluating treatments.

Purpose of the Study:

  • To review existing MPN mouse models.
  • To highlight their contributions to understanding MPN mechanisms and preclinical therapy development.
  • To discuss model limitations and the complexity of human MPN.

Main Methods:

  • Review of established MPN mouse models.
  • Analysis of how these models recapitulate human MPN phenotypes.
  • Examination of their utility in investigating disease initiation, progression, and treatment.

Main Results:

  • MPN mouse models accurately mimic human polycythemia vera (PV) and essential thrombocythemia (ET), including progression to myelofibrosis (MF).
  • These models have elucidated mechanisms of fibrosis, thrombosis, and disease initiation.
  • They have also aided in understanding the role of additional mutations and signaling pathways in disease progression and in preclinical therapy testing.

Conclusions:

  • MPN mouse models are valuable tools for studying disease biology and developing therapies.
  • Caution is advised when extrapolating findings from mice to humans due to species differences.
  • Future research should incorporate factors like germline predisposition, aging, and microenvironment to fully capture human MPN complexity.