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Immunophenotypes and Immune Markers Associated with Acute Promyelocytic Leukemia Prognosis
Author(s) -
Fang Xu,
Changxin Yin,
Chunli Wang,
Xuejie Jiang,
Ling Jiang,
Zhixiang Wang,
Zhengshan Yi,
Kaikai Huang,
FanYi Meng
Publication year - 2014
Publication title -
disease markers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.912
H-Index - 66
eISSN - 1875-8630
pISSN - 0278-0240
DOI - 10.1155/2014/421906
Subject(s) - immunophenotyping , acute promyelocytic leukemia , medicine , population , multivariate analysis , gastroenterology , white blood cell , cd33 , immunology , oncology , cd34 , flow cytometry , biology , gene , retinoic acid , biochemistry , genetics , environmental health , stem cell
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.

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