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Preclinical approaches in chronic myeloid leukemia: from cells to systems
Cassie J Clarke1, Tessa L Holyoake1
1Paul O'Gorman Leukaemia Research Centre, Institute of Cancer Sciences, University of Glasgow, Gartnavel General Hospital, Glasgow, UK.
Abstract:
Advances in the design of targeted therapies for the treatment of chronic myeloid leukemia (CML) have transformed the prognosis for patients diagnosed with this disease. However, leukemic stem cell persistence, drug intolerance, drug resistance, and advanced-phase disease represent unmet clinical needs demanding the attention of CML investigators worldwide. The availability of appropriate preclinical models is essential to efficiently translate findings from the bench to the clinic. Here we review the current approaches taken to preclinical work in the CML field, including examples of commonly used in vivo models and recent successes from systems biology-based methodologies.
Insights
Targeted therapies have improved chronic myeloid leukemia (CML) treatment, but challenges like stem cell persistence and resistance remain. Preclinical models are crucial for developing new CML therapies.
Area of Science:
- Hematology
- Oncology
- Translational Research
Background:
- Targeted therapies have significantly improved outcomes for chronic myeloid leukemia (CML) patients.
- Unmet clinical needs in CML include leukemic stem cell persistence, drug resistance, intolerance, and advanced-phase disease.
Purpose of the Study:
- To review current preclinical models and methodologies used in chronic myeloid leukemia (CML) research.
- To highlight the importance of robust preclinical models for advancing CML treatment strategies.
Main Methods:
- Review of existing literature on preclinical models for chronic myeloid leukemia (CML).
- Inclusion of commonly used in vivo models in CML research.
- Discussion of systems biology-based methodologies applied to CML.
Main Results:
- Various in vivo models are utilized for CML research.
- Systems biology approaches are showing recent successes in understanding CML.
Conclusions:
- Effective preclinical models are essential for translating CML research findings into clinical practice.
- Continued development and application of preclinical models are vital to address persistent challenges in CML treatment.
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