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 |
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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 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_00696392v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1020842820</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4391-8c338767ae24465aa4dcc9698ec4357e597c02607e8ecfe4d83fd85cd18e0b183</originalsourceid><addsrcrecordid>eNp9kcFu1DAQhi1ERUvhxhn5BkjsYjt2YnNbrcq20lY90B44WY4zBiMnTuOkqzxDX5qEtHvsydbMN5_G_hH6QMmaEsK-2bGP63LNiJD0FTqjQrAVV6J4fbxzdYrepvSXkEzwvHiDThkVjHAiztDjBu8urvbYhXjAs6qGvhuxjU2CJg0Jt11sYzIBu9jh-8E0vXfemt7HBkeH22BSbbCFENJ3vGnb8NzsI668c9DBNDLNV978bmLyCZfQHwAafL27-4lNU-F6hBBr8w6dOBMSvH86z9Hdj4vb7eVqf7O72m72K8szRVfSZpks8sIA4zwXxvDKWpUrCVNfFCBUYQnLSQFTxQGvZOYqKWxFJZCSyuwcfVm8f0zQbedr0406Gq8vN3s91wjJVZ4p9kAn9tPCTv9wP0Dqde3T_FrTQBySlgUTTPGCTOTnF0lKGJGcSTajXxfUdjGlDtxxC0r0HKqek9Cl_h_qhH98Mg9lDdURfk5xArIFOPgA44syvf11e7No_wEhWa73</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1020842820</pqid></control><display><type>article</type><title>A GEIL flow cytometry consensus proposal for quantification of plasma cells: Application to differential diagnosis between MGUS and myeloma</title><source>Wiley Free Content</source><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><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</creator><creatorcontrib>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 ; GEIL Groupe d'Etude Immunologique des Leucémies Study Group ; for the GEIL (Groupe d'Etude Immunologique des Leucémies) Study Group</creatorcontrib><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><identifier>ISSN: 1552-4949</identifier><identifier>ISSN: 1552-4957</identifier><identifier>EISSN: 1552-4957</identifier><identifier>DOI: 10.1002/cyto.b.20581</identifier><identifier>PMID: 21520405</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>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</subject><ispartof>Cytometry. Part B, Clinical cytometry, 2011-05, Vol.80B (3), p.176-185</ispartof><rights>Copyright © 2010 International Clinical Cytometry Society</rights><rights>Copyright © 2010 International Clinical Cytometry Society.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4391-8c338767ae24465aa4dcc9698ec4357e597c02607e8ecfe4d83fd85cd18e0b183</citedby><cites>FETCH-LOGICAL-c4391-8c338767ae24465aa4dcc9698ec4357e597c02607e8ecfe4d83fd85cd18e0b183</cites><orcidid>0000-0002-9822-4170 ; 0000-0001-6223-2454</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcyto.b.20581$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcyto.b.20581$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21520405$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00696392$$DView record in HAL$$Hfree_for_read</backlink></links><search><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><title>A GEIL flow cytometry consensus proposal for quantification of plasma cells: Application to differential diagnosis between MGUS and myeloma</title><title>Cytometry. 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. Part B, Clinical cytometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Frébet, Elise</au><au>Abraham, Julie</au><au>Geneviève, Franck</au><au>Lepelley, Pascale</au><au>Daliphard, Sylvie</au><au>Bardet, Valérie</au><au>Amsellem, Sophie</au><au>Guy, Julien</au><au>Mullier, Francois</au><au>Durrieu, Francoise</au><au>Venon, Marie‐Dominique</au><au>Leleu, Xavier</au><au>Jaccard, Arnaud</au><au>Faucher, Jean‐Luc</au><au>Béné, Marie C.</au><au>Feuillard, Jean</au><aucorp>GEIL Groupe d'Etude Immunologique des Leucémies Study Group</aucorp><aucorp>for the GEIL (Groupe d'Etude Immunologique des Leucémies) Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A GEIL flow cytometry consensus proposal for quantification of plasma cells: Application to differential diagnosis between MGUS and myeloma</atitle><jtitle>Cytometry. 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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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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