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Updated: Mar 14, 2026

Author Spotlight: Exploring the Lifespan Dynamics of Healthy Human Hematopoiesis
Published on: December 8, 2023
Translating leukemia stem cells into the clinical setting: Harmonizing the heterogeneity
Breann Yanagisawa1, Gabriel Ghiaur1, B Douglas Smith1
1The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD, USA.
Leukemia stem cells (LSCs) drive disease maintenance and relapse. The most immature LSC phenotype in acute myeloid leukemia (AML) correlates with poor outcomes, suggesting it could be a clinical biomarker.
Area of Science:
- Hematology
- Cancer Biology
- Stem Cell Research
Background:
- Leukemia stem cells (LSCs) are implicated in acute myeloid leukemia (AML) maintenance and relapse.
- Traditionally, LSCs were identified by their ability to engraft in mice, often associated with a CD34+CD38- hematopoietic stem cell (HSC) phenotype.
- Recent findings reveal heterogeneity in LSC phenotypes and their engraftment capabilities.
Purpose of the Study:
- To investigate the relationship between the immaturity of AML cell phenotypes and clinical outcomes.
- To determine if the most primitive AML cell phenotype can serve as a biomarker for clinically relevant LSCs.
Main Methods:
- Analysis of AML cell phenotypes, focusing on immaturity markers like CD34, CD38, and aldehyde dehydrogenase activity.
- Correlation of observed phenotypes with clinical data, including complete remission rates, event-free survival, and overall survival.
Main Results:
- A heterogeneous distribution of primitive phenotypes was observed within AML samples.
- Patients with AML cells exhibiting a primitive HSC phenotype (CD34+CD38- with high aldehyde dehydrogenase activity) had significantly lower remission rates and poorer survival.
- AML with more mature primitive cell phenotypes was associated with better clinical outcomes.
Conclusions:
- The immaturity of the most primitive AML cell phenotype correlates strongly with clinical outcomes.
- This primitive phenotype may serve as a valuable biomarker for identifying clinically relevant LSCs in AML patients.
- Understanding LSC heterogeneity is crucial for predicting AML prognosis and guiding treatment strategies.
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