1. Flow Cytometric Identification of Hematopoietic and Leukemic Blast Cells for Tailored Clinical Follow-Up of Acute Myeloid Leukemia
- Author
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Vera Weeda, Stefan G. C. Mestrum, and Math P. G. Leers
- Subjects
Myeloid ,Acute/metabolism ,Bone Marrow/metabolism ,Leukemia ,Organic Chemistry ,General Medicine ,Biomarkers/metabolism ,Flow Cytometry ,Catalysis ,Computer Science Applications ,Immunophenotyping ,Inorganic Chemistry ,Leukemia, Myeloid, Acute ,Bone Marrow ,Humans ,Physical and Theoretical Chemistry ,Molecular Biology ,Biomarkers ,Spectroscopy ,Follow-Up Studies - Abstract
Acute myeloid leukemia (AML) is a myeloid malignancy that is characterized by the accumulation of leukemic blast cells, which originate from hematopoietic stem cells that have undergone leukemic transformation and/or are more mature progenitors that have gained stemness features. Currently, no consensus exists for the flow cytometric identification of normal blast cells and their leukemic counterparts by their antigenic expression profile. Differentiating between the benign cells and the malignant cells is crucial for the further deployment of immunophenotype panels for the clinical follow-up of AML patients. This review provides an overview of immunophenotypic markers that allow the identification of leukemic blast cells in the bone marrow with multiparameter flow cytometry. This technique allows the identification of hematopoietic blast cells at the level of maturing cells by their antigen expression profile. While aberrant antigen expression of a single immunophenotypic marker cell cannot be utilized in order to differentiate leukemic blast cells from normal blast cells, combinations of multiple immunophenotypic markers can enable the distinction of normal and leukemic blast cells. The identification of these markers has provided new perspectives for tailored clinical follow-up, including therapy management, diagnostics, and prognostic purposes. The immunophenotypic marker panels, however, should be developed by carefully considering the variable antigen marker expression profile of individual patients.
- Published
- 2022
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