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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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Autores principales: Liu, Min, Weng, Xiangqin, Gong, Shenglan, Chen, Hui, Ding, Jing, Guo, Mengqiao, Hu, Xiaoxia, Wang, Jianmin, Yang, Jianmin, Tang, Gusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655225/
https://www.ncbi.nlm.nih.gov/pubmed/29113330
http://dx.doi.org/10.18632/oncotarget.20814
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author Liu, Min
Weng, Xiangqin
Gong, Shenglan
Chen, Hui
Ding, Jing
Guo, Mengqiao
Hu, Xiaoxia
Wang, Jianmin
Yang, Jianmin
Tang, Gusheng
author_facet Liu, Min
Weng, Xiangqin
Gong, Shenglan
Chen, Hui
Ding, Jing
Guo, Mengqiao
Hu, Xiaoxia
Wang, Jianmin
Yang, Jianmin
Tang, Gusheng
author_sort Liu, Min
collection PubMed
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(dim and homo)CD13(+homo) CD33(+homo)MPO(+) (myeloperoxidase) CD11c(−) panel or the CD64(dim and homo)CD13(+homo) CD33(+homo)MPO(+) CD11c(+)CD10(−)CD117(+) SSC(high) (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.
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spelling pubmed-56552252017-11-06 Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China Liu, Min Weng, Xiangqin Gong, Shenglan Chen, Hui Ding, Jing Guo, Mengqiao Hu, Xiaoxia Wang, Jianmin Yang, Jianmin Tang, Gusheng Oncotarget Research Paper 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(dim and homo)CD13(+homo) CD33(+homo)MPO(+) (myeloperoxidase) CD11c(−) panel or the CD64(dim and homo)CD13(+homo) CD33(+homo)MPO(+) CD11c(+)CD10(−)CD117(+) SSC(high) (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. Impact Journals LLC 2017-09-11 /pmc/articles/PMC5655225/ /pubmed/29113330 http://dx.doi.org/10.18632/oncotarget.20814 Text en Copyright: © 2017 Liu et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Liu, Min
Weng, Xiangqin
Gong, Shenglan
Chen, Hui
Ding, Jing
Guo, Mengqiao
Hu, Xiaoxia
Wang, Jianmin
Yang, Jianmin
Tang, Gusheng
Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
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_full Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
title_fullStr Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
title_full_unstemmed Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
title_short Flow cytometric analysis of CD64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in Shanghai, China
title_sort flow cytometric analysis of cd64 expression pattern and density in the diagnosis of acute promyelocytic leukemia: a multi-center study in shanghai, china
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655225/
https://www.ncbi.nlm.nih.gov/pubmed/29113330
http://dx.doi.org/10.18632/oncotarget.20814
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