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Immunophenotypic Dissection of Normal Peripheral Blood NK Associated (NKa) Subpopulations by Flow Cytometry: Morphological Features and Relationships Between Membrane NKa (CD11b, CD 16, CD56 and CD57) arid T-cell (CD2, CD3, TCR, CD5, CD7, CD8 and CD38) Associated Determinant Expression.

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Two Flow Cytometric Approaches of NKG2D Ligand Surface Detection to Distinguish Stem Cells from Bulk Subpopulations in Acute Myeloid Leukemia
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Patterns of Membrane Antigen Expression by AML Blasts: Quantitation and Histogram Analysis.

P S Master1, R A Jones1, S J Richards1

  • 1a Yorkshire Leukaemia Diagnostic Unit, Department of Haematology, Cookridge Hospital, Leeds, England.

Leukemia & Lymphoma
|July 28, 2016
PubMed
Summary

Flow cytometry revealed distinct membrane determinant expression patterns in acute myeloid leukaemia (AML) subtypes. Semi-quantitative fluorescence analysis offers greater insight into AML classification than conventional methods.

Keywords:
AMLAntigen expressionImmunocytometryMonoclonal Antibody

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Area of Science:

  • Hematology
  • Immunophenotyping
  • Flow Cytometry

Background:

  • Acute myeloid leukaemia (AML) is a heterogeneous group of cancers.
  • Accurate subtyping of AML is crucial for effective treatment and prognosis.
  • Understanding membrane determinant expression on leukaemic blasts aids in AML classification.

Purpose of the Study:

  • To investigate the expression patterns of 12 membrane determinants on leukaemic myeloid blasts in non-monocytic and monocytic AML.
  • To compare different data analysis methods, including mean fluorescence intensity and histogram patterns, for assessing antigen expression.
  • To determine the utility of semi-quantitative fluorescence measurements in AML subtyping.

Main Methods:

  • Flow cytometry was used to analyze the expression of 12 membrane determinants on leukaemic blasts from 57 AML cases (36 non-monocytic, 21 monocytic).
  • Data analysis included mean fluorescence intensity, individual cell fluorescence levels, and conventional positive/negative cell proportions.
  • Three main staining histogram patterns (S-type, SE-type, BI-type) were identified and characterized.

Main Results:

  • Most AML blasts exhibited S-type or SE-type staining patterns for myeloid-associated antigens (CD11c, CD13, CD14, CD38).
  • A significant proportion of AML cases showed BI-type staining for CD33, CD34, and HLA-Dr, indicating distinct leukaemic cell populations.
  • Lymphoid-associated antigens (CD3, CD10, CD22) showed insignificant expression on AML blasts, except for rare cases with low intensity CD7 or CD19.

Conclusions:

  • Semi-quantitative fluorescence measurements provide more informative data than conventional positive/negative assessments for AML antigen expression.
  • Histogram pattern analysis, particularly the BI-type, is valuable for identifying distinct leukaemic cell populations within AML subtypes.
  • These findings suggest that advanced flow cytometry analysis can enhance the diagnostic assessment and subtyping of acute myeloid leukaemia.