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

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 quant...

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Veröffentlicht in:Cytometry. Part B, Clinical cytometry Clinical cytometry, 2011-05, Vol.80B (3), p.176-185
Hauptverfasser: Frébet, Elise, Abraham, Julie, Geneviève, Franck, Lepelley, Pascale, Daliphard, Sylvie, Bardet, Valérie, Amsellem, Sophie, Guy, Julien, Mullier, Francois, Durrieu, Francoise, Venon, Marie‐Dominique, Leleu, Xavier, Jaccard, Arnaud, Faucher, Jean‐Luc, Béné, Marie C., Feuillard, Jean
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container_end_page 185
container_issue 3
container_start_page 176
container_title Cytometry. Part B, Clinical cytometry
container_volume 80B
creator Frébet, Elise
Abraham, Julie
Geneviève, Franck
Lepelley, Pascale
Daliphard, Sylvie
Bardet, Valérie
Amsellem, Sophie
Guy, Julien
Mullier, Francois
Durrieu, Francoise
Venon, Marie‐Dominique
Leleu, Xavier
Jaccard, Arnaud
Faucher, Jean‐Luc
Béné, Marie C.
Feuillard, Jean
description 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. © 2010 International Clinical Cytometry Society
doi_str_mv 10.1002/cyto.b.20581
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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. 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Part B, Clinical cytometry</title><addtitle>Cytometry B Clin Cytom</addtitle><description>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. © 2010 International Clinical Cytometry Society</description><subject>Bone marrow</subject><subject>Bone Marrow Neoplasms</subject><subject>Bone Marrow Neoplasms - immunology</subject><subject>Bone Marrow Neoplasms - pathology</subject><subject>Bone tumors</subject><subject>CD19 antigen</subject><subject>CD34 antigen</subject><subject>CD36 antigen</subject><subject>CD38 antigen</subject><subject>CD45 antigen</subject><subject>CD56 antigen</subject><subject>Color</subject><subject>Diagnosis, Differential</subject><subject>Differential diagnosis</subject><subject>Erythroblasts</subject><subject>Erythrocytes</subject><subject>Flow Cytometry</subject><subject>Flow Cytometry - methods</subject><subject>Flow Cytometry - standards</subject><subject>Hemopoiesis</subject><subject>Humans</subject><subject>Immunoglobulins</subject><subject>Immunology</subject><subject>Life Sciences</subject><subject>Light chains</subject><subject>Metastases</subject><subject>MGUS</subject><subject>minimal residual disease</subject><subject>Monoclonal Gammopathy of Undetermined Significance</subject><subject>Monoclonal Gammopathy of Undetermined Significance - diagnosis</subject><subject>Monoclonal Gammopathy of Undetermined Significance - immunology</subject><subject>Monoclonal Gammopathy of Undetermined Significance - pathology</subject><subject>Multiple Myeloma</subject><subject>Multiple Myeloma - diagnosis</subject><subject>Multiple Myeloma - immunology</subject><subject>Multiple Myeloma - pathology</subject><subject>Myeloma</subject><subject>Osteoprogenitor cells</subject><subject>Plasma Cells</subject><subject>Plasma Cells - immunology</subject><subject>Plasma Cells - pathology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Stem cells</subject><subject>tumor burden quantification</subject><subject>Tumors</subject><issn>1552-4949</issn><issn>1552-4957</issn><issn>1552-4957</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAQhi1ERUvhxhn5BkjsYjt2YnNbrcq20lY90B44WY4zBiMnTuOkqzxDX5qEtHvsydbMN5_G_hH6QMmaEsK-2bGP63LNiJD0FTqjQrAVV6J4fbxzdYrepvSXkEzwvHiDThkVjHAiztDjBu8urvbYhXjAs6qGvhuxjU2CJg0Jt11sYzIBu9jh-8E0vXfemt7HBkeH22BSbbCFENJ3vGnb8NzsI668c9DBNDLNV978bmLyCZfQHwAafL27-4lNU-F6hBBr8w6dOBMSvH86z9Hdj4vb7eVqf7O72m72K8szRVfSZpks8sIA4zwXxvDKWpUrCVNfFCBUYQnLSQFTxQGvZOYqKWxFJZCSyuwcfVm8f0zQbedr0406Gq8vN3s91wjJVZ4p9kAn9tPCTv9wP0Dqde3T_FrTQBySlgUTTPGCTOTnF0lKGJGcSTajXxfUdjGlDtxxC0r0HKqek9Cl_h_qhH98Mg9lDdURfk5xArIFOPgA44syvf11e7No_wEhWa73</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Frébet, Elise</creator><creator>Abraham, Julie</creator><creator>Geneviève, Franck</creator><creator>Lepelley, Pascale</creator><creator>Daliphard, Sylvie</creator><creator>Bardet, Valérie</creator><creator>Amsellem, Sophie</creator><creator>Guy, Julien</creator><creator>Mullier, Francois</creator><creator>Durrieu, Francoise</creator><creator>Venon, Marie‐Dominique</creator><creator>Leleu, Xavier</creator><creator>Jaccard, Arnaud</creator><creator>Faucher, Jean‐Luc</creator><creator>Béné, Marie C.</creator><creator>Feuillard, Jean</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-9822-4170</orcidid><orcidid>https://orcid.org/0000-0001-6223-2454</orcidid></search><sort><creationdate>201105</creationdate><title>A GEIL flow cytometry consensus proposal for quantification of plasma cells: Application to differential diagnosis between MGUS and myeloma</title><author>Frébet, Elise ; Abraham, Julie ; Geneviève, Franck ; Lepelley, Pascale ; Daliphard, Sylvie ; Bardet, Valérie ; Amsellem, Sophie ; Guy, Julien ; Mullier, Francois ; Durrieu, Francoise ; Venon, Marie‐Dominique ; Leleu, Xavier ; Jaccard, Arnaud ; Faucher, Jean‐Luc ; Béné, Marie C. ; Feuillard, Jean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4391-8c338767ae24465aa4dcc9698ec4357e597c02607e8ecfe4d83fd85cd18e0b183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Bone marrow</topic><topic>Bone Marrow Neoplasms</topic><topic>Bone Marrow Neoplasms - immunology</topic><topic>Bone Marrow Neoplasms - pathology</topic><topic>Bone tumors</topic><topic>CD19 antigen</topic><topic>CD34 antigen</topic><topic>CD36 antigen</topic><topic>CD38 antigen</topic><topic>CD45 antigen</topic><topic>CD56 antigen</topic><topic>Color</topic><topic>Diagnosis, Differential</topic><topic>Differential diagnosis</topic><topic>Erythroblasts</topic><topic>Erythrocytes</topic><topic>Flow Cytometry</topic><topic>Flow Cytometry - methods</topic><topic>Flow Cytometry - standards</topic><topic>Hemopoiesis</topic><topic>Humans</topic><topic>Immunoglobulins</topic><topic>Immunology</topic><topic>Life Sciences</topic><topic>Light chains</topic><topic>Metastases</topic><topic>MGUS</topic><topic>minimal residual disease</topic><topic>Monoclonal Gammopathy of Undetermined Significance</topic><topic>Monoclonal Gammopathy of Undetermined Significance - diagnosis</topic><topic>Monoclonal Gammopathy of Undetermined Significance - immunology</topic><topic>Monoclonal Gammopathy of Undetermined Significance - pathology</topic><topic>Multiple Myeloma</topic><topic>Multiple Myeloma - diagnosis</topic><topic>Multiple Myeloma - immunology</topic><topic>Multiple Myeloma - pathology</topic><topic>Myeloma</topic><topic>Osteoprogenitor cells</topic><topic>Plasma Cells</topic><topic>Plasma Cells - immunology</topic><topic>Plasma Cells - pathology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Stem cells</topic><topic>tumor burden quantification</topic><topic>Tumors</topic><toplevel>online_resources</toplevel><creatorcontrib>Frébet, Elise</creatorcontrib><creatorcontrib>Abraham, Julie</creatorcontrib><creatorcontrib>Geneviève, Franck</creatorcontrib><creatorcontrib>Lepelley, Pascale</creatorcontrib><creatorcontrib>Daliphard, Sylvie</creatorcontrib><creatorcontrib>Bardet, Valérie</creatorcontrib><creatorcontrib>Amsellem, Sophie</creatorcontrib><creatorcontrib>Guy, Julien</creatorcontrib><creatorcontrib>Mullier, Francois</creatorcontrib><creatorcontrib>Durrieu, Francoise</creatorcontrib><creatorcontrib>Venon, Marie‐Dominique</creatorcontrib><creatorcontrib>Leleu, Xavier</creatorcontrib><creatorcontrib>Jaccard, Arnaud</creatorcontrib><creatorcontrib>Faucher, Jean‐Luc</creatorcontrib><creatorcontrib>Béné, Marie C.</creatorcontrib><creatorcontrib>Feuillard, Jean</creatorcontrib><creatorcontrib>GEIL Groupe d'Etude Immunologique des Leucémies Study Group</creatorcontrib><creatorcontrib>for the GEIL (Groupe d'Etude Immunologique des Leucémies) Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Cytometry. 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Part B, Clinical cytometry</jtitle><addtitle>Cytometry B Clin Cytom</addtitle><date>2011-05</date><risdate>2011</risdate><volume>80B</volume><issue>3</issue><spage>176</spage><epage>185</epage><pages>176-185</pages><issn>1552-4949</issn><issn>1552-4957</issn><eissn>1552-4957</eissn><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. © 2010 International Clinical Cytometry Society</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>21520405</pmid><doi>10.1002/cyto.b.20581</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-9822-4170</orcidid><orcidid>https://orcid.org/0000-0001-6223-2454</orcidid><oa>free_for_read</oa></addata></record>
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1552-4957
1552-4957
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source Wiley Free Content; MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection
subjects Bone marrow
Bone Marrow Neoplasms
Bone Marrow Neoplasms - immunology
Bone Marrow Neoplasms - pathology
Bone tumors
CD19 antigen
CD34 antigen
CD36 antigen
CD38 antigen
CD45 antigen
CD56 antigen
Color
Diagnosis, Differential
Differential diagnosis
Erythroblasts
Erythrocytes
Flow Cytometry
Flow Cytometry - methods
Flow Cytometry - standards
Hemopoiesis
Humans
Immunoglobulins
Immunology
Life Sciences
Light chains
Metastases
MGUS
minimal residual disease
Monoclonal Gammopathy of Undetermined Significance
Monoclonal Gammopathy of Undetermined Significance - diagnosis
Monoclonal Gammopathy of Undetermined Significance - immunology
Monoclonal Gammopathy of Undetermined Significance - pathology
Multiple Myeloma
Multiple Myeloma - diagnosis
Multiple Myeloma - immunology
Multiple Myeloma - pathology
Myeloma
Osteoprogenitor cells
Plasma Cells
Plasma Cells - immunology
Plasma Cells - pathology
Reproducibility of Results
Sensitivity and Specificity
Stem cells
tumor burden quantification
Tumors
title A GEIL flow cytometry consensus proposal for quantification of plasma cells: Application to differential diagnosis between MGUS and myeloma
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