Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
No unified immunophenotypic profiles and corresponding analytic strategies have been established for the rapid diagnosis of acute promyelocytic leukemia (APL) using flow cytometry (FCM). Here we describe a characteristic immunophenotypic panel that can rapidly and accurately distinguish APL from oth...
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creator | Liu, Min Weng, Xiangqin Gong, Shenglan Chen, Hui Ding, Jing Guo, Mengqiao Hu, Xiaoxia Wang, Jianmin Yang, Jianmin Tang, Gusheng |
description | No unified immunophenotypic profiles and corresponding analytic strategies have been established for the rapid diagnosis of acute promyelocytic leukemia (APL) using flow cytometry (FCM). Here we describe a characteristic immunophenotypic panel that can rapidly and accurately distinguish APL from other types of adult acute myeloid leukemia (AML) using only FCM. By comparing APL cells and non-APL AML cells that share APL common immunophenotypes (CD34
CD117
HLA
DR
) we found that CD64 was a significant factor that differentiated APL from other AMLs. Further retrospective analyses of 205 APL and 629 non-APL AML patients from different hematology centers showed that either the CD64
CD13
CD33
MPO
(myeloperoxidase) CD11c
panel or the CD64
CD13
CD33
MPO
CD11c
CD10
CD117
SSC
(high side scatter signal) panel could distinguish APL from non-APL AML patients with nearly 100% sensitivity, specificity and accuracy. Moreover, relative quantification of CD64 expression enhanced the applicability of our APL diagnostic immunophenotypic panels (ADI-panels) in different hematology centers. Application of the ADI-panels will decrease diagnosis time and improve personalized treatment for APL, a life-threatening disease with very rapid progression. |
doi_str_mv | 10.18632/oncotarget.20814 |
format | Article |
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CD117
HLA
DR
) we found that CD64 was a significant factor that differentiated APL from other AMLs. Further retrospective analyses of 205 APL and 629 non-APL AML patients from different hematology centers showed that either the CD64
CD13
CD33
MPO
(myeloperoxidase) CD11c
panel or the CD64
CD13
CD33
MPO
CD11c
CD10
CD117
SSC
(high side scatter signal) panel could distinguish APL from non-APL AML patients with nearly 100% sensitivity, specificity and accuracy. Moreover, relative quantification of CD64 expression enhanced the applicability of our APL diagnostic immunophenotypic panels (ADI-panels) in different hematology centers. Application of the ADI-panels will decrease diagnosis time and improve personalized treatment for APL, a life-threatening disease with very rapid progression.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.20814</identifier><identifier>PMID: 29113330</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Research Paper</subject><ispartof>Oncotarget, 2017-10, Vol.8 (46), p.80625-80637</ispartof><rights>Copyright: © 2017 Liu et al. 2017</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-dd358be9e308a13beedd012b7532e4bd0fb71484363dcd48936bb5151ca1cf7c3</citedby><cites>FETCH-LOGICAL-c356t-dd358be9e308a13beedd012b7532e4bd0fb71484363dcd48936bb5151ca1cf7c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655225/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655225/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29113330$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Weng, Xiangqin</creatorcontrib><creatorcontrib>Gong, Shenglan</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Ding, Jing</creatorcontrib><creatorcontrib>Guo, Mengqiao</creatorcontrib><creatorcontrib>Hu, Xiaoxia</creatorcontrib><creatorcontrib>Wang, Jianmin</creatorcontrib><creatorcontrib>Yang, Jianmin</creatorcontrib><creatorcontrib>Tang, Gusheng</creatorcontrib><title>Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>No unified immunophenotypic profiles and corresponding analytic strategies have been established for the rapid diagnosis of acute promyelocytic leukemia (APL) using flow cytometry (FCM). Here we describe a characteristic immunophenotypic panel that can rapidly and accurately distinguish APL from other types of adult acute myeloid leukemia (AML) using only FCM. By comparing APL cells and non-APL AML cells that share APL common immunophenotypes (CD34
CD117
HLA
DR
) we found that CD64 was a significant factor that differentiated APL from other AMLs. Further retrospective analyses of 205 APL and 629 non-APL AML patients from different hematology centers showed that either the CD64
CD13
CD33
MPO
(myeloperoxidase) CD11c
panel or the CD64
CD13
CD33
MPO
CD11c
CD10
CD117
SSC
(high side scatter signal) panel could distinguish APL from non-APL AML patients with nearly 100% sensitivity, specificity and accuracy. Moreover, relative quantification of CD64 expression enhanced the applicability of our APL diagnostic immunophenotypic panels (ADI-panels) in different hematology centers. Application of the ADI-panels will decrease diagnosis time and improve personalized treatment for APL, a life-threatening disease with very rapid progression.</description><subject>Research Paper</subject><issn>1949-2553</issn><issn>1949-2553</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNpVkcFu1DAQhi0EolXpA3BBPnIgxY7jbMIBCS20VKrUQ-FsTezJxuDYwXaAPApv27Bd2jKXGWn-_5uRfkJecnbGm1qUb4PXIUPcYT4rWcOrJ-SYt1VblFKKp4_mI3Ka0je2lqw2Tdk-J0dly7kQgh2TP-cu_KJ6yWHEHK2m4MEtySYaerr9WFcUf08RU7LB0wlyxuhXjaEGfbJ5odbTPCA1FnY-HHyg54x0imFc0IUVvnIdzt9xtPCOAh1nl22h0a80mvJs9pibAfxuAPuGbgfr4QV51oNLeHroJ-Tr-acv28_F1fXF5fbDVaGFrHNhjJBNhy0K1gAXHaIxjJfdRooSq86wvtvwqqlELYw2VdOKuuskl1wD1_1GixPy_o47zd2I5u9XEZyaoh0hLiqAVf9vvB3ULvxUspayLOUKeH0AxPBjxpTVaJNG58BjmJPibc0bybhgq5TfSXUMKUXs789wpvapqodU1T7V1fPq8X_3jn8Zilui46UJ</recordid><startdate>20171006</startdate><enddate>20171006</enddate><creator>Liu, Min</creator><creator>Weng, Xiangqin</creator><creator>Gong, Shenglan</creator><creator>Chen, Hui</creator><creator>Ding, Jing</creator><creator>Guo, Mengqiao</creator><creator>Hu, Xiaoxia</creator><creator>Wang, Jianmin</creator><creator>Yang, Jianmin</creator><creator>Tang, Gusheng</creator><general>Impact Journals LLC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20171006</creationdate><title>Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China</title><author>Liu, Min ; Weng, Xiangqin ; Gong, Shenglan ; Chen, Hui ; Ding, Jing ; Guo, Mengqiao ; Hu, Xiaoxia ; Wang, Jianmin ; Yang, Jianmin ; Tang, Gusheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-dd358be9e308a13beedd012b7532e4bd0fb71484363dcd48936bb5151ca1cf7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Research Paper</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Min</creatorcontrib><creatorcontrib>Weng, Xiangqin</creatorcontrib><creatorcontrib>Gong, Shenglan</creatorcontrib><creatorcontrib>Chen, Hui</creatorcontrib><creatorcontrib>Ding, Jing</creatorcontrib><creatorcontrib>Guo, Mengqiao</creatorcontrib><creatorcontrib>Hu, Xiaoxia</creatorcontrib><creatorcontrib>Wang, Jianmin</creatorcontrib><creatorcontrib>Yang, Jianmin</creatorcontrib><creatorcontrib>Tang, Gusheng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Min</au><au>Weng, Xiangqin</au><au>Gong, Shenglan</au><au>Chen, Hui</au><au>Ding, Jing</au><au>Guo, Mengqiao</au><au>Hu, Xiaoxia</au><au>Wang, Jianmin</au><au>Yang, Jianmin</au><au>Tang, Gusheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2017-10-06</date><risdate>2017</risdate><volume>8</volume><issue>46</issue><spage>80625</spage><epage>80637</epage><pages>80625-80637</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>No unified immunophenotypic profiles and corresponding analytic strategies have been established for the rapid diagnosis of acute promyelocytic leukemia (APL) using flow cytometry (FCM). Here we describe a characteristic immunophenotypic panel that can rapidly and accurately distinguish APL from other types of adult acute myeloid leukemia (AML) using only FCM. By comparing APL cells and non-APL AML cells that share APL common immunophenotypes (CD34
CD117
HLA
DR
) we found that CD64 was a significant factor that differentiated APL from other AMLs. Further retrospective analyses of 205 APL and 629 non-APL AML patients from different hematology centers showed that either the CD64
CD13
CD33
MPO
(myeloperoxidase) CD11c
panel or the CD64
CD13
CD33
MPO
CD11c
CD10
CD117
SSC
(high side scatter signal) panel could distinguish APL from non-APL AML patients with nearly 100% sensitivity, specificity and accuracy. Moreover, relative quantification of CD64 expression enhanced the applicability of our APL diagnostic immunophenotypic panels (ADI-panels) in different hematology centers. Application of the ADI-panels will decrease diagnosis time and improve personalized treatment for APL, a life-threatening disease with very rapid progression.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>29113330</pmid><doi>10.18632/oncotarget.20814</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Research Paper |
title | Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China |
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