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Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis
CD2+, CD34+, and CD56+ immunophenotypes are associated with poor prognoses of acute promyelocytic leukemia (APL). The present study aimed to explore the role of APL immunophenotypes and immune markers as prognostic predictors on clinical outcomes. A total of 132 patients with de novo APL were retros...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089198/ https://www.ncbi.nlm.nih.gov/pubmed/25045197 http://dx.doi.org/10.1155/2014/421906 |
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author | Xu, Fang Yin, Chang-Xin Wang, Chun-Li Jiang, Xue-Jie Jiang, Ling Wang, Zhi-Xiang Yi, Zheng-Shan Huang, Kai-Kai Meng, Fan-Yi |
author_facet | Xu, Fang Yin, Chang-Xin Wang, Chun-Li Jiang, Xue-Jie Jiang, Ling Wang, Zhi-Xiang Yi, Zheng-Shan Huang, Kai-Kai Meng, Fan-Yi |
author_sort | Xu, Fang |
collection | PubMed |
description | CD2+, CD34+, and CD56+ immunophenotypes are associated with poor prognoses of acute promyelocytic leukemia (APL). The present study aimed to explore the role of APL immunophenotypes and immune markers as prognostic predictors on clinical outcomes. A total of 132 patients with de novo APL were retrospectively analyzed. Immunophenotypes were determined by flow cytometry. Clinical features, complete remission (CR), relapse, and five-year overall survival (OS) rate were assessed and subjected to multivariate analyses. The CD13+CD33+HLA-DR-CD34− immunophenotype was commonly observed in patients with APL. Positive rates for other APL immune markers including cMPO, CD117, CD64, and CD9 were 68.7%, 26%, 78.4%, and 96.6%, respectively. When compared with patients with CD2− APL, patients with CD2+ APL had a significantly higher incidence of early death (50% versus 15.7%; P = 0.016), lower CR rate (50% versus 91.1%; P = 0.042), and lower five-year OS rate (41.7% versus 74.2%; P = 0.018). White blood cell (WBC) count before treatment was found to be the only independent risk factor of early death, CR failure, and five-year mortality rate. Flow cytometric immunophenotype analysis can facilitate prompt APL diagnosis. Multivariate analysis has demonstrated that WBC count before treatment is the only known independent risk factor that predicts prognosis for APL in this study population. |
format | Online Article Text |
id | pubmed-4089198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40891982014-07-20 Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis Xu, Fang Yin, Chang-Xin Wang, Chun-Li Jiang, Xue-Jie Jiang, Ling Wang, Zhi-Xiang Yi, Zheng-Shan Huang, Kai-Kai Meng, Fan-Yi Dis Markers Research Article CD2+, CD34+, and CD56+ immunophenotypes are associated with poor prognoses of acute promyelocytic leukemia (APL). The present study aimed to explore the role of APL immunophenotypes and immune markers as prognostic predictors on clinical outcomes. A total of 132 patients with de novo APL were retrospectively analyzed. Immunophenotypes were determined by flow cytometry. Clinical features, complete remission (CR), relapse, and five-year overall survival (OS) rate were assessed and subjected to multivariate analyses. The CD13+CD33+HLA-DR-CD34− immunophenotype was commonly observed in patients with APL. Positive rates for other APL immune markers including cMPO, CD117, CD64, and CD9 were 68.7%, 26%, 78.4%, and 96.6%, respectively. When compared with patients with CD2− APL, patients with CD2+ APL had a significantly higher incidence of early death (50% versus 15.7%; P = 0.016), lower CR rate (50% versus 91.1%; P = 0.042), and lower five-year OS rate (41.7% versus 74.2%; P = 0.018). White blood cell (WBC) count before treatment was found to be the only independent risk factor of early death, CR failure, and five-year mortality rate. Flow cytometric immunophenotype analysis can facilitate prompt APL diagnosis. Multivariate analysis has demonstrated that WBC count before treatment is the only known independent risk factor that predicts prognosis for APL in this study population. Hindawi Publishing Corporation 2014 2014-06-19 /pmc/articles/PMC4089198/ /pubmed/25045197 http://dx.doi.org/10.1155/2014/421906 Text en Copyright © 2014 Fang Xu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xu, Fang Yin, Chang-Xin Wang, Chun-Li Jiang, Xue-Jie Jiang, Ling Wang, Zhi-Xiang Yi, Zheng-Shan Huang, Kai-Kai Meng, Fan-Yi Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title | Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title_full | Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title_fullStr | Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title_full_unstemmed | Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title_short | Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis |
title_sort | immunophenotypes and immune markers associated with acute promyelocytic leukemia prognosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089198/ https://www.ncbi.nlm.nih.gov/pubmed/25045197 http://dx.doi.org/10.1155/2014/421906 |
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