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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5655225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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