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Flow cytometry to estimate leukemia stem cells in primary acute myeloid leukemia and in patient-derived-xenografts, at diagnosis and follow up

Published inJournal of visualized experiments, no. 133, 56976
First online date2018-03-26
Abstract

Acute myeloid leukemia (AML) is a heterogeneous, and if not treated, fatal disease. It is the most common cause of leukemia-associated mortality in adults. Initially, AML is a disease of hematopoietic stem cells (HSC) characterized by arrest of differentiation, subsequent accumulation of leukemia blast cells, and reduced production of functional hematopoietic elements. Heterogeneity extends to the presence of leukemia stem cells (LSC), with this dynamic cell compartment evolving to overcome various selection pressures imposed upon during leukemia progression and treatment. To further define the LSC population, the addition of CD90 and CD45RA allows the discrimination of normal HSCs and multipotent progenitors within the CD34+CD38- cell compartment. Here, we outline a protocol to detect simultaneous expression of several putative LSC markers (CD34, CD38, CD45RA, CD90) on primary blast cells of human AML by multiparametric flow cytometry. Furthermore, we show how to quantify three progenitor populations and a putative LSC population with increasing degree of maturation. We confirmed the presence of these populations in corresponding patient-derived-xenografts. This method of detection and quantification of putative LSC may be used for clinical follow-up of chemotherapy response (i.e., minimal residual disease), as residual LSC may cause AML relapse.

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Keywords
  • Cancer Research
  • Issue 133
  • Acute myeloid leukemia
  • AML
  • Leukemia stem cell
  • LSC
  • Hematopoiesis
  • Patient-derived-xenografts
  • PDX
  • Multiparametric flow cytometry
  • Minimal residual disease
  • MRD
Affiliation Not a UNIGE publication
Citation (ISO format)
BOYER, Thomas et al. Flow cytometry to estimate leukemia stem cells in primary acute myeloid leukemia and in patient-derived-xenografts, at diagnosis and follow up. In: Journal of visualized experiments, 2018, n° 133, p. 56976. doi: 10.3791/56976
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Article (Published version)
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Identifiers
ISSN of the journal1940-087X
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