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Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma
Published on: June 10, 2017
Flow Cytometry for Non-Hodgkin and Hodgkin Lymphomas
Emily Glynn1, Lori Soma1, David Wu1
1Department of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Insights
Multiparametric flow cytometry aids in diagnosing lymphoid cancers by rapidly assessing cell antigens. This method helps identify abnormal B, T, NK, and Hodgkin lymphoma cells for clinical and research applications.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Multiparametric flow cytometry offers rapid cellular antigen assessment.
- Immunophenotypic information is crucial for disease classification.
- Understanding normal lymphoid cell antigen expression is key for identifying abnormalities.
Purpose of the Study:
- To describe a general approach for identifying abnormal lymphoid populations using flow cytometry.
- To cover B, T, NK, and Hodgkin lymphoma cells for clinical and research settings.
- To detail strategies for diagnosing classical Hodgkin lymphoma and nodular lymphocyte predominant Hodgkin lymphoma.
Main Methods:
- Utilizing multiparametric flow cytometry for cellular antigen expression analysis.
- Processing and immunophenotyping of non-Hodgkin B- and T-cell lymphomas.
- Employing sensitive and specific diagnostic strategies for Hodgkin lymphoma subtypes.
Main Results:
- Established a general approach for identifying abnormal lymphoid populations.
- Provided insights into common antigen expression patterns of normal and abnormal lymphoid cells.
- Outlined procedures for processing and immunophenotyping various lymphoma types.
Conclusions:
- Multiparametric flow cytometry is a powerful tool for disease classification and minimal residual disease assessment.
- Knowledge of normal lymphoid cell antigen expression is critical for accurate diagnosis.
- The described strategies enable sensitive and specific diagnosis of lymphomas.
Abstract:
Multiparametric flow cytometry is a powerful diagnostic tool that permits rapid assessment of cellular antigen expression to quickly provide immunophenotypic information suitable for disease classification. This chapter describes a general approach for the identification of abnormal lymphoid populations by flow cytometry, including B, T, NK, and Hodgkin lymphoma cells suitable for the clinical and research environment. Knowledge of the common patterns of antigen expression of normal lymphoid cells is critical to permit identification of abnormal populations at disease presentation and for minimal residual disease assessment. We highlight an overview of procedures for processing and immunophenotyping non-Hodgkin B- and T-cell lymphomas and also describe our strategy for the sensitive and specific diagnosis of classical Hodgkin lymphoma and nodular lymphocyte predominant Hodgkin lymphoma.
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