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Updated: Jun 24, 2026

Pre-clinical Evaluation of Tyrosine Kinase Inhibitors for Treatment of Acute Leukemia
Published on: September 18, 2013
Tailoring tyrosine kinase inhibitor therapy in chronic myeloid leukemia
1Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA. maurom@ohsu.edu
Background:
Research into chronic myeloid leukemia (CML) is increasingly focused on the problem of imatinib failure. Dasatinib and nilotinib are both active in chronic- and accelerated-phase CML, including patients with imatinib-resistant or intolerant disease.
Methods:
This paper reviews advances in tailoring tyrosine kinase inhibition therapy according to patient risk profiles as well as hematologic, cytogenetic, and molecular responses, BCR-ABL mutation status, and emerging predictive factors.
Results:
In addition to identifying specific tyrosine kinase mutations, clinical advances have allowed us to determine patients who are less likely to derive long-term survival benefits from imatinib.
Conclusions:
Treatment for CML should be individualized and, when resistance to imatinib can be predicted, therapy should be modified so that patients do not progress beyond chronic phase and respond as promptly and deeply as required to maximally reduce risk.
Insights
Individualizing treatment for chronic myeloid leukemia (CML) is key. Predicting imatinib resistance allows for therapy modification to improve patient outcomes and reduce risks.
Area of Science:
- Hematology
- Oncology
- Pharmacology
Background:
- Chronic myeloid leukemia (CML) research increasingly addresses imatinib failure.
- Dasatinib and nilotinib show efficacy in CML, including imatinib-resistant or intolerant cases.
Purpose of the Study:
- To review advances in tailoring tyrosine kinase inhibitor (TKI) therapy for CML.
- To explore patient-specific factors influencing TKI treatment selection and efficacy.
Main Methods:
- Literature review of advances in CML treatment strategies.
- Analysis of risk profiles, response assessments (hematologic, cytogenetic, molecular), and mutation status.
- Examination of emerging predictive factors for TKI therapy.
Main Results:
- Identification of specific tyrosine kinase mutations impacting treatment response.
- Clinical advancements enable prediction of patients unlikely to benefit long-term from imatinib.
- Emerging factors aid in stratifying patients for optimal TKI selection.
Conclusions:
- CML treatment requires individualization based on patient-specific factors.
- Predicting imatinib resistance necessitates timely therapy modification.
- Prompt and deep responses to therapy are crucial for minimizing CML progression and risk.
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