Literature DB >> 21520405

A GEIL flow cytometry consensus proposal for quantification of plasma cells: application to differential diagnosis between MGUS and myeloma.

Elise Frébet1, Julie Abraham, Franck Geneviève, Pascale Lepelley, Sylvie Daliphard, Valérie Bardet, Sophie Amsellem, Julien Guy, Francois Mullier, Francoise Durrieu, Marie-Dominique Venon, Xavier Leleu, Arnaud Jaccard, Jean-Luc Faucher, Marie C Béné, Jean Feuillard.   

Abstract

BACKGROUND: Flow cytometry is the sole available technique for quantification of tumor plasma-cells in plasma-cell disorders, but so far, no consensus technique has been proposed. Here, we report on a standardized, simple, robust five color flow cytometry protocol developed to characterize and quantify bone marrow tumor plasma-cells, validated in a multicenter manner.
METHODS: CD36 was used to exclude red blood cell debris and erythroblasts, CD38 and CD138 to detect plasma-cells, immunoglobulin light chains, CD45, CD56, CD19, and CD117 + CD34 to simultaneously characterize abnormal plasma-cells and quantify bone marrow precursors. This approach was applied in nine centers to 229 cases, including 25 controls.
RESULTS: Tumor plasma-cells were detected in 96.8% of cases, all exhibiting an immunoglobulin peak over 1g/L. Calculation of a plasma-cells/precursors (PC/P) ratio allowed quantification of the plasma-cell burden independently from bone marrow hemodilution. The PC/P ratio yielded the best results in terms of sensitivity (81%) and specificity (84%) for differential diagnosis between MGUS and myeloma, when compared with other criteria. Combination of both the PC/P ratio and percentage of abnormal plasma-cells allowed the best differential diagnosis, but these criteria were discordant in 25% cases. Indirect calculation of CD19 negative PC/R ratio gave the best results in terms of sensitivity (87%).
CONCLUSION: This standardized multiparameter flow cytometric approach allows for the detection and quantification of bone marrow tumor plasma-cell infiltration in nearly all cases of MGUS and myeloma, independently of debris and hemodilution. This approach may also prove useful for the detection of minimal residual disease.
Copyright © 2010 International Clinical Cytometry Society.

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Year:  2010        PMID: 21520405     DOI: 10.1002/cyto.b.20581

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  4 in total

1.  Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma.

Authors:  Joaquin Martinez-Lopez; Juan J Lahuerta; François Pepin; Marcos González; Santiago Barrio; Rosa Ayala; Noemí Puig; María A Montalban; Bruno Paiva; Li Weng; Cristina Jiménez; María Sopena; Martin Moorhead; Teresa Cedena; Immaculada Rapado; María Victoria Mateos; Laura Rosiñol; Albert Oriol; María J Blanchard; Rafael Martínez; Joan Bladé; Jesús San Miguel; Malek Faham; Ramón García-Sanz
Journal:  Blood       Date:  2014-03-19       Impact factor: 22.113

2.  Guidelines on the diagnosis and management of multiple myeloma treatment: Associação Brasileira de Hematologia e Hemoterapia e Terapia Celular Project guidelines: Associação Médica Brasileira - 2012.

Authors:  Vânia Tietsche de Moraes Hungria; Edvan de Queiroz Crusoe; Adriana Alvarez Quero; Manuella Sampaio; Angelo Maiolino; Wanderley Marques Bernardo
Journal:  Rev Bras Hematol Hemoter       Date:  2013

3.  The Assessment of CD56 and CD117 Expressions at the Time of the Diagnosis in Multiple Myeloma Patients.

Authors:  Funda Ceran; Mesude Falay; Simten Dağdaş; Gülsüm Özet
Journal:  Turk J Haematol       Date:  2017-03-08       Impact factor: 1.831

4.  Immunophenotypic characterization and quantification of neoplastic bone marrow plasma cells by multiparametric flow cytometry and its clinical significance in Korean myeloma patients.

Authors:  Young-Uk Cho; Chan-Jeoung Park; Seo-Jin Park; Hyun-Sook Chi; Seongsoo Jang; Sang Hyuk Park; Eul-Ju Seo; Dok Hyun Yoon; Jung-Hee Lee; Cheolwon Suh
Journal:  J Korean Med Sci       Date:  2013-03-27       Impact factor: 2.153

  4 in total

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