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The immunophenotypic stability of plasma cell myeloma by flow cytometry
Summary Introduction: Flow cytometry (FC) has become increasingly utilized in the diagnosis and monitoring of plasma cell myeloma (PCM), though few studies have evaluated the longitudinal stability of antigen expression. Methods: We studied 45 PCM patients by four‐color FC for shifts in CD19, CD20...
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Published in: | International journal of laboratory hematology 2011-10, Vol.33 (5), p.483-491 |
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container_title | International journal of laboratory hematology |
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creator | SPEARS, M. D. OLTEANU, H. KROFT, S. H. HARRINGTON, A. M. |
description | Summary
Introduction: Flow cytometry (FC) has become increasingly utilized in the diagnosis and monitoring of plasma cell myeloma (PCM), though few studies have evaluated the longitudinal stability of antigen expression.
Methods: We studied 45 PCM patients by four‐color FC for shifts in CD19, CD20, CD38, CD45, CD56, and cytoplasmic light chain expression, between diagnostic/first encounter and positive follow‐up analyses. An immunophenotypic (IP) change was defined as gain, loss, or ½ log shift of antigen expression.
Results: An IP change was observed in 14/45 (31%) patients, with single IP changes in 9/14, two changes in 2/14, and three changes in 3/14. 3/14 reverted from an aberrant to a normal plasma cell IP, while remaining light chain‐restricted. Changes in expression of CD45 occurred in 9/45 (20%), CD19 in 5/45 (11.1%), CD20 in 2/45 (4.4%), and CD56 in 5/45 (11.1%).
Conclusion: Approximately 1/3 of PCM cases show IP changes over time, with CD45 the least stable antigen. Recognition of this relative instability is important to avoid narrow targeting of follow‐up FC analyses, especially for minimal residual disease monitoring. |
doi_str_mv | 10.1111/j.1751-553X.2011.01317.x |
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Introduction: Flow cytometry (FC) has become increasingly utilized in the diagnosis and monitoring of plasma cell myeloma (PCM), though few studies have evaluated the longitudinal stability of antigen expression.
Methods: We studied 45 PCM patients by four‐color FC for shifts in CD19, CD20, CD38, CD45, CD56, and cytoplasmic light chain expression, between diagnostic/first encounter and positive follow‐up analyses. An immunophenotypic (IP) change was defined as gain, loss, or ½ log shift of antigen expression.
Results: An IP change was observed in 14/45 (31%) patients, with single IP changes in 9/14, two changes in 2/14, and three changes in 3/14. 3/14 reverted from an aberrant to a normal plasma cell IP, while remaining light chain‐restricted. Changes in expression of CD45 occurred in 9/45 (20%), CD19 in 5/45 (11.1%), CD20 in 2/45 (4.4%), and CD56 in 5/45 (11.1%).
Conclusion: Approximately 1/3 of PCM cases show IP changes over time, with CD45 the least stable antigen. Recognition of this relative instability is important to avoid narrow targeting of follow‐up FC analyses, especially for minimal residual disease monitoring.</description><identifier>ISSN: 1751-5521</identifier><identifier>EISSN: 1751-553X</identifier><identifier>DOI: 10.1111/j.1751-553X.2011.01317.x</identifier><identifier>PMID: 21470371</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Adult ; Aged ; Bone Marrow Cells - metabolism ; Bone Marrow Cells - pathology ; CD19 antigen ; CD20 antigen ; CD38 antigen ; CD45 antigen ; CD56 antigen ; Female ; Flow Cytometry ; Follow-Up Studies ; Humans ; immunophenotype ; Immunophenotyping ; Light chains ; Male ; Middle Aged ; minimal residual disease ; Multiple Myeloma - diagnosis ; Multiple Myeloma - metabolism ; Myeloma ; Plasma cell myeloma ; Plasma cells ; Plasma Cells - metabolism ; Plasma Cells - pathology ; stability</subject><ispartof>International journal of laboratory hematology, 2011-10, Vol.33 (5), p.483-491</ispartof><rights>2011 Blackwell Publishing Ltd</rights><rights>2011 Blackwell Publishing Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4397-9048ee920bc19b95638650f8c45258d9d7b73865b47dc717938ed72f132b29243</citedby><cites>FETCH-LOGICAL-c4397-9048ee920bc19b95638650f8c45258d9d7b73865b47dc717938ed72f132b29243</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21470371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SPEARS, M. D.</creatorcontrib><creatorcontrib>OLTEANU, H.</creatorcontrib><creatorcontrib>KROFT, S. H.</creatorcontrib><creatorcontrib>HARRINGTON, A. M.</creatorcontrib><title>The immunophenotypic stability of plasma cell myeloma by flow cytometry</title><title>International journal of laboratory hematology</title><addtitle>Int J Lab Hematol</addtitle><description>Summary
Introduction: Flow cytometry (FC) has become increasingly utilized in the diagnosis and monitoring of plasma cell myeloma (PCM), though few studies have evaluated the longitudinal stability of antigen expression.
Methods: We studied 45 PCM patients by four‐color FC for shifts in CD19, CD20, CD38, CD45, CD56, and cytoplasmic light chain expression, between diagnostic/first encounter and positive follow‐up analyses. An immunophenotypic (IP) change was defined as gain, loss, or ½ log shift of antigen expression.
Results: An IP change was observed in 14/45 (31%) patients, with single IP changes in 9/14, two changes in 2/14, and three changes in 3/14. 3/14 reverted from an aberrant to a normal plasma cell IP, while remaining light chain‐restricted. Changes in expression of CD45 occurred in 9/45 (20%), CD19 in 5/45 (11.1%), CD20 in 2/45 (4.4%), and CD56 in 5/45 (11.1%).
Conclusion: Approximately 1/3 of PCM cases show IP changes over time, with CD45 the least stable antigen. Recognition of this relative instability is important to avoid narrow targeting of follow‐up FC analyses, especially for minimal residual disease monitoring.</description><subject>Adult</subject><subject>Aged</subject><subject>Bone Marrow Cells - metabolism</subject><subject>Bone Marrow Cells - pathology</subject><subject>CD19 antigen</subject><subject>CD20 antigen</subject><subject>CD38 antigen</subject><subject>CD45 antigen</subject><subject>CD56 antigen</subject><subject>Female</subject><subject>Flow Cytometry</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>immunophenotype</subject><subject>Immunophenotyping</subject><subject>Light chains</subject><subject>Male</subject><subject>Middle Aged</subject><subject>minimal residual disease</subject><subject>Multiple Myeloma - diagnosis</subject><subject>Multiple Myeloma - metabolism</subject><subject>Myeloma</subject><subject>Plasma cell myeloma</subject><subject>Plasma cells</subject><subject>Plasma Cells - metabolism</subject><subject>Plasma Cells - pathology</subject><subject>stability</subject><issn>1751-5521</issn><issn>1751-553X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkElPwzAQhS0Eomx_AfnGKcHjJbYvSBRBWaoiJBDcrCyOmpLUIU5F8-9JKPQKc_GM571n60MIAwmhr_NFCFJAIAR7CykBCAkwkOF6Bx1sF7vbnsIIHXq_IERITvQ-GlHgkjAJB2jyPLe4qKrV0tVzu3RtVxcp9m2cFGXRdtjluC5jX8U4tWWJq86Wrh-SDuel-8Rp17rKtk13jPbyuPT25Oc8Qi83189Xt8H0cXJ3dTkNUs60DDThylpNSZKCTrSImIoEyVXKBRUq05lM5HCVcJmlEqRmymaS5sBoQjXl7AidbXLrxn2srG9NVfjha_HSupU3mvQuIBH8qVRKCkIVp71SbZRp47xvbG7qpqjipjNAzMDbLMyA0gxYzcDbfPM26956-vPIKqlstjX-Au4FFxvBZ1Ha7t_B5u5-eju0fUCwCSh8a9fbgLh5N5FkUpjX2cTMFI_G44cno9kXNl-cuQ</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>SPEARS, M. D.</creator><creator>OLTEANU, H.</creator><creator>KROFT, S. H.</creator><creator>HARRINGTON, A. M.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><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>7X8</scope><scope>7T5</scope><scope>H94</scope></search><sort><creationdate>201110</creationdate><title>The immunophenotypic stability of plasma cell myeloma by flow cytometry</title><author>SPEARS, M. D. ; OLTEANU, H. ; KROFT, S. H. ; HARRINGTON, A. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4397-9048ee920bc19b95638650f8c45258d9d7b73865b47dc717938ed72f132b29243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Bone Marrow Cells - metabolism</topic><topic>Bone Marrow Cells - pathology</topic><topic>CD19 antigen</topic><topic>CD20 antigen</topic><topic>CD38 antigen</topic><topic>CD45 antigen</topic><topic>CD56 antigen</topic><topic>Female</topic><topic>Flow Cytometry</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>immunophenotype</topic><topic>Immunophenotyping</topic><topic>Light chains</topic><topic>Male</topic><topic>Middle Aged</topic><topic>minimal residual disease</topic><topic>Multiple Myeloma - diagnosis</topic><topic>Multiple Myeloma - metabolism</topic><topic>Myeloma</topic><topic>Plasma cell myeloma</topic><topic>Plasma cells</topic><topic>Plasma Cells - metabolism</topic><topic>Plasma Cells - pathology</topic><topic>stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SPEARS, M. D.</creatorcontrib><creatorcontrib>OLTEANU, H.</creatorcontrib><creatorcontrib>KROFT, S. H.</creatorcontrib><creatorcontrib>HARRINGTON, A. M.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>International journal of laboratory hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SPEARS, M. D.</au><au>OLTEANU, H.</au><au>KROFT, S. H.</au><au>HARRINGTON, A. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The immunophenotypic stability of plasma cell myeloma by flow cytometry</atitle><jtitle>International journal of laboratory hematology</jtitle><addtitle>Int J Lab Hematol</addtitle><date>2011-10</date><risdate>2011</risdate><volume>33</volume><issue>5</issue><spage>483</spage><epage>491</epage><pages>483-491</pages><issn>1751-5521</issn><eissn>1751-553X</eissn><abstract>Summary
Introduction: Flow cytometry (FC) has become increasingly utilized in the diagnosis and monitoring of plasma cell myeloma (PCM), though few studies have evaluated the longitudinal stability of antigen expression.
Methods: We studied 45 PCM patients by four‐color FC for shifts in CD19, CD20, CD38, CD45, CD56, and cytoplasmic light chain expression, between diagnostic/first encounter and positive follow‐up analyses. An immunophenotypic (IP) change was defined as gain, loss, or ½ log shift of antigen expression.
Results: An IP change was observed in 14/45 (31%) patients, with single IP changes in 9/14, two changes in 2/14, and three changes in 3/14. 3/14 reverted from an aberrant to a normal plasma cell IP, while remaining light chain‐restricted. Changes in expression of CD45 occurred in 9/45 (20%), CD19 in 5/45 (11.1%), CD20 in 2/45 (4.4%), and CD56 in 5/45 (11.1%).
Conclusion: Approximately 1/3 of PCM cases show IP changes over time, with CD45 the least stable antigen. Recognition of this relative instability is important to avoid narrow targeting of follow‐up FC analyses, especially for minimal residual disease monitoring.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>21470371</pmid><doi>10.1111/j.1751-553X.2011.01317.x</doi><tpages>9</tpages></addata></record> |
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subjects | Adult Aged Bone Marrow Cells - metabolism Bone Marrow Cells - pathology CD19 antigen CD20 antigen CD38 antigen CD45 antigen CD56 antigen Female Flow Cytometry Follow-Up Studies Humans immunophenotype Immunophenotyping Light chains Male Middle Aged minimal residual disease Multiple Myeloma - diagnosis Multiple Myeloma - metabolism Myeloma Plasma cell myeloma Plasma cells Plasma Cells - metabolism Plasma Cells - pathology stability |
title | The immunophenotypic stability of plasma cell myeloma by flow cytometry |
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