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In Vitro Differentiation Model of Human Normal Memory B Cells to Long-lived Plasma Cells
Published on: January 20, 2019
Antigenic transformation in plasma cell dyscrasia
Julius M Cruse1, Robert E Lewis, Rachel N Webb
1Department of Pathology, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA. jcruse@pathology.umsmed.edu <jcruse@pathology.umsmed.edu>
Experimental and Molecular Pathology
|August 16, 2006
Summary
Quantitative flow cytometry aids in diagnosing plasma cell dyscrasias by measuring CD marker expression. CD19 is typically absent, while CD38 and CD138 are highly expressed, aiding in diagnosis.
Area of Science:
- Hematology
- Immunophenotyping
- Flow Cytometry
Background:
- The World Health Organization (WHO) defines the immunophenotype for plasma cell myeloma.
- This includes characteristic expression patterns of CD markers like CD19, CD20, CD38, CD138, CD56, and CD10.
- Accurate immunophenotyping is crucial for diagnosing plasma cell dyscrasias.
Purpose of the Study:
- To evaluate the utility of quantitative fluorescence intensity in the flow cytometric analysis of CD molecular expression.
- To assess the expression patterns of various CD markers in plasma cell dyscrasia cases.
- To correlate these findings with the established WHO immunophenotype for plasma cell myeloma.
Main Methods:
- Flow cytometry was used to quantify the mean fluorescence intensities (MFI) of CD38, CD138, CD56, and CD19.
- 39 cases of plasma cell dyscrasia were analyzed.
- Expression levels of CD117, CD20, and CD10 were also assessed.
Main Results:
- CD19 was absent in 97.4% of cases, while CD138 and CD38 were expressed in 100%.
- CD38 and CD138 showed bright expression (MFI > 501).
- CD56 expression varied, with dual CD38/CD56 expression in 64.1% and negativity in 40% of cases.
Conclusions:
- Quantitative fluorescence intensity provides valuable data for flow cytometric evaluation.
- This method enhances the diagnosis of hematopathologic disorders like plasma cell dyscrasia.
- Consistent expression patterns of CD markers support their role in diagnosis.
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