Acute Myeloid Leukemia Stem Cells in Minimal/Measurable Residual Disease Detection
Kritika Srinivasan Rajsri1,2, Nainita Roy1, Sohini Chakraborty1
1Department of Pathology, New York University Grossman School of Medicine, New York, NY 10016, USA.
Abstract:
Acute myeloid leukemia (AML) is a hematological malignancy characterized by an abundance of incompletely matured or immature clonally derived hematopoietic precursors called leukemic blasts. Rare leukemia stem cells (LSCs) that can self-renew as well as give rise to leukemic progenitors comprising the bulk of leukemic blasts are considered the cellular reservoir of disease initiation and maintenance. LSCs are widely thought to be relatively resistant as well as adaptive to chemotherapy and can cause disease relapse. Therefore, it is imperative to understand the molecular bases of LSC forms and functions during different stages of disease progression, so we can more accurately identify these cells and design therapies to target them. Irrespective of the morphological, cytogenetic, and cellular heterogeneity of AML, the uniform, singularly important and independently significant prognosticator of disease response to therapy and patient outcome is measurable or minimal residual disease (MRD) detection, defined by residual disease detection below the morphology-based 5% blast threshold. The importance of LSC identification and frequency estimation during MRD detection, in order to make MRD more effective in predicting disease relapse and modifying therapeutic regimen is becoming increasingly apparent. This review focuses on summarizing functional and cellular composition-based LSC identification and linking those studies to current techniques of MRD detection to suggest LSC-inclusive MRD detection as well as outline outstanding questions that need to be addressed to improve the future of AML clinical management and treatment outcomes.
Insights
Identifying leukemia stem cells (LSCs) is crucial for understanding acute myeloid leukemia (AML) relapse. Incorporating LSC detection into minimal residual disease (MRD) monitoring can improve treatment strategies and patient outcomes.
Area of Science:
- Hematology
- Oncology
- Cancer Stem Cell Biology
Background:
- Acute myeloid leukemia (AML) is a blood cancer driven by leukemic blasts.
- Leukemia stem cells (LSCs) are rare, self-renewing cells responsible for AML initiation, maintenance, and relapse.
- LSCs are chemoresistant, making them a target for effective AML therapy.
Purpose of the Study:
- To review functional and cellular composition-based methods for identifying LSCs in AML.
- To link LSC identification strategies with current minimal residual disease (MRD) detection techniques.
- To propose LSC-inclusive MRD detection for improved AML prognostication and treatment.
Main Methods:
- Literature review of studies focusing on LSC identification.
- Analysis of current MRD detection methodologies in AML.
- Synthesis of functional and cellular data for LSC characterization.
Main Results:
- LSCs are critical for AML persistence and therapeutic resistance.
- Minimal residual disease (MRD) detection is a key prognosticator in AML.
- Integrating LSC identification into MRD assessment can enhance its predictive power.
Conclusions:
- Understanding LSC biology is essential for overcoming AML treatment challenges.
- LSC-inclusive MRD detection offers a promising approach to refine AML management.
- Further research is needed to optimize LSC identification and therapeutic targeting in AML.
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