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Principles of minimal residual disease detection for hematopoietic neoplasms by flow cytometry
Author(s) -
Wood Brent L.
Publication year - 2016
Publication title -
cytometry part b: clinical cytometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 61
eISSN - 1552-4957
pISSN - 1552-4949
DOI - 10.1002/cyto.b.21239
Subject(s) - minimal residual disease , flow cytometry , enumeration , haematopoiesis , bone marrow , computational biology , biology , immunology , stem cell , microbiology and biotechnology , mathematics , combinatorics
Flow cytometry has become an indispensible tool for the diagnosis and classification of hematopoietic neoplasms. The ability to rapidly distinguish cellular subpopulations via multiparametric assessment of quantitative differences in antigen expression on single cells and enumerate the relative sizes of the resulting subpopulations is a key feature of the technology. More recently, these capabilities have been expanded to include the identification and enumeration of rare subpopulations within complex cellular mixtures, for example, blood or bone marrow, leading to the application for post‐therapeutic monitoring or minimal residual disease detection. This review will briefly present the principles to be considered in the construction and use of flow cytometric assays for minimal residual disease detection including the use of informative antibody combinations, the impact of immunophenotypic instability, enumeration, assay sensitivity, and reproducibility. © 2015 International Clinical Cytometry Society

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