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Disease Markers
Volume 2014 (2014), Article ID 421906, 6 pages
http://dx.doi.org/10.1155/2014/421906
Research Article

Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis

1Hematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
2Hematology Department, Mianyang Center Hospital, Mianyang 621000, China

Received 5 February 2014; Revised 8 May 2014; Accepted 30 May 2014; Published 19 June 2014

Academic Editor: Mariann Harangi

Copyright © 2014 Fang Xu et al. 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.

Abstract

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%; ), lower CR rate (50% versus 91.1%; ), and lower five-year OS rate (41.7% versus 74.2%; ). 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.