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Updated: Jun 1, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Dynamics of chronic myeloid leukemia response to long-term targeted therapy reveal treatment effects on leukemic stem
Min Tang1, Mithat Gonen, Alfonso Quintas-Cardama
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Abstract:
Treatment of chronic myeloid leukemia (CML) with the tyrosine kinase inhibitors (TKIs) imatinib mesylate and nilotinib represents a successful application of molecularly targeted anticancer therapy. However, the effect of TKIs on leukemic stem cells remains incompletely understood. On the basis of a statistical modeling approach that used the 10-year imatinib mesylate treatment response of patients with CML and a patient cohort receiving first-line nilotinib therapy, we found that successful long-term therapy results in a triphasic exponential decline of BCR-ABL1 transcripts in many patients. Within our framework, the first slope of -0.052 ± 0.018 (imatinib mesylate) and -0.042 ± 0.015 (nilotinib) per day represents the turnover rate of leukemic differentiated cells, whereas the second slope of -0.0057 ± 0.0038 (imatinib mesylate) and -0.0019 ± 0.0013 (nilotinib) per day represents the turnover rate of leukemic progenitor cells. The third slope allows an inference of the behavior of immature leukemic cells, potentially stem cells. This third slope is negative in most patients, positive in others, and not observable in some patients. This variability in response may be because of insufficient follow-up, missing data, disease heterogeneity, inconsistent compliance to drug, or acquired resistance. Our approach suggests that long-term TKI therapy may reduce the abundance of leukemic stem cells in some patients.
Insights
Tyrosine kinase inhibitors (TKIs) like imatinib and nilotinib effectively treat chronic myeloid leukemia (CML). Statistical modeling suggests TKIs may reduce leukemic stem cells, though responses vary due to factors like resistance.
Area of Science:
- Oncology
- Hematology
- Pharmacology
Background:
- Chronic myeloid leukemia (CML) treatment has advanced with tyrosine kinase inhibitors (TKIs).
- The impact of TKIs on CML stem cells is not fully understood.
- Leukemic stem cells are critical for disease persistence and relapse.
Purpose of the Study:
- To investigate the effect of TKIs on leukemic stem cells in CML.
- To analyze BCR-ABL1 transcript dynamics during long-term TKI therapy.
- To model the turnover rates of different CML cell populations.
Main Methods:
- Statistical modeling using 10-year imatinib mesylate and first-line nilotinib patient data.
- Analysis of triphasic exponential decline in BCR-ABL1 transcripts.
- Calculation of turnover rates for differentiated, progenitor, and immature leukemic cells.
Main Results:
- Successful long-term TKI therapy shows a triphasic decline in BCR-ABL1 transcripts.
- Distinct turnover rates were identified for differentiated and progenitor CML cells.
- The behavior of immature leukemic cells (potentially stem cells) varied, with some patients showing a negative slope, indicating reduction.
Conclusions:
- Long-term TKI therapy demonstrates a complex impact on CML cell populations.
- The study provides insights into the elimination kinetics of leukemic stem cells.
- Variability in the third slope suggests factors like resistance or heterogeneity influence TKI efficacy against stem cells.
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