Immunophenotype of myeloid granulocytes: a pilot study for distinguishing myelodysplastic syndrome and aplastic anemia by flow cytometry

Huang, Min; Li, Jianfeng; Zhao, Guangyu; Sui, Xiaohui; Zhao, Xinya; Xu, Hui

doi:10.1111/j.1751-553x.2009.01192.x

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…The present report is the first in the literature to analyze the erythroblast immunophenotype in patients with PRCA. There are previous reports in pathologies with a similar pathophysiology such as aplastic anemia [12,13], however, the number of CD34 + precursors and the inverted CD4/CD8 lymphocyte ratio are described as significant parameters [14]. The present study shows that the immunophenotype coincides with those described in the pathophysiology: the most immature precursors in the erythroid series are affected, portraying that the erythroid maturation arrest in 78% of the cases would be prior to the proerythroblasts.…”

Section: Discussionsupporting

confidence: 75%

Immunophenotype of Erythroid Precursors in Patient with Pure Red Cell Aplasia (PRCA): Utility of Analysis of Erythroid Maturation

Jerez¹,

Ocqueteau²

2021

annhematoloncol

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Pure Red Cell Aplasia (PRCA) is an infrequent disease [1,2], which usually presents as hypogenerative normochromic anemia, and is characterized by a significant decrease (including absence) of erythroid precursors [3]. Its etiology can be congenital or acquired, and its correct diagnosis requires exclusion of alternative cases of refractory anemia, so the bone marrow histology plays a crucial role. Myelodisplastic Syndromes (MDS) should always be considered in its differential diagnosis. The use of laboratory tools, specifically Flow Cytometry (FCM) is gained importance in the study of malignant and benign hematology pathologies. In MDS, FCM is not yet considered a standard of care, however it provides valuable information [4,5] and there are numerous publications and scores for its usual clinical use (for example Ogata score and RED-score [6,7]). In relation to the rise of FCM in MDS, enormous progress has been made in the description of the erythroid precursors immunophenotype [8-10]. An example of normal erythroid maturation is presented in Figure 1, showing proerythroblasts with immunophenotype CD71+ CD105+ CD117+, basophilic erythroblasts CD71+ CD105+ CD117-, polychromatophilic and orthochromatophilic erythroblasts CD71+ CD105- CD117- distinguishing by size in Forward Scatter (FSC) versus CD36 respectively. Characteristic maturation curve in CD117 versus CD105 analysis evidenced a predominance towards more mature erythroblasts.

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Section: Discussionsupporting

confidence: 75%

Immunophenotype of Erythroid Precursors in Patient with Pure Red Cell Aplasia (PRCA): Utility of Analysis of Erythroid Maturation

Jerez¹,

Ocqueteau²

2021

annhematoloncol

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“…In recent years, multi-parameter flow cytometry has improved the diagnosis accuracy of blood diseases to a greater extent. Studies showed that flow cytometry, immunophenotyping are more sensitive than morphological examination on examining bone marrow abnormalities and it requires not that much as morphological examination on sample preparation [25,26] . At present, with clinical test methods becoming more abundant and perfect, it brings greater convenience and assistance for clinicians to diagnose diseases.…”

Section: Through Analysing Forecast Conditions Of the Testmentioning

confidence: 99%

The Application of Decision Tree Model in Differential Diagnosis of Myelodysplastic Syndrome and Aplastic Anemia

Song¹,

Wang.²,

Yang³

et al. 2020

pharmaceutical-sciences

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Song et al.: Decision Tree Model in Myelodysplastic Syndrome and Aplastic Anemia The differential diagnosis models of C5.0, classification and regression trees and QUEST decision-making trees were established to provide a basis for the diagnosis of myelodysplastic syndrome and aplastic anemia. Patients with myelodysplastic syndrome and aplastic anemia hospitalized in hematology hospital of the Chinese Academy of Medical Sciences from January 2008 to December 2014 were selected as the study subjects. The general condition, clinical examination and laboratory examination data of the patients were collected using a self-designed questionnaire. The differential diagnosis models of C5.0, classification and regression trees and QUEST decision-making trees were established with 2 blood diseases as dependent variables and their differential diagnosis indices as independent variables. The performance of the 3 models was compared using the indices of accuracy, sensitivity and specificity. The prediction accuracy, sensitivity, specificity, F1 and Youden's index of C5.0 decision-making tree model were 78.12, 87.50, 66.67, 81.48 and 0.54 %, respectively. The prediction accuracy, sensitivity, specificity, F1 and Youden's index of classification and regression trees decision-making tree model were 73.75, 76.14, 70.83, 81.03 and 0.51 %, respectively. The prediction accuracy, sensitivity, specificity, F1 and Youden's index of QUEST decision-making tree model were 76.88, 89.77, 61.11, 76.14 and 0.47 %, respectively. There was no statistical difference in the accuracy, specificity, F1 and Youden's index of the 3 models. The specificity of C5.0 decision-making tree and QUEST decision-making tree models were significantly higher than classification and regression trees decision-making tree model (p<0.05). The C5.0 decision-making tree model has higher prediction accuracy, sensitivity, specificity, F1, and Youden's index, which were superior to the other two models and can be used as auxiliary models for differential diagnosis of myelodysplastic syndrome and aplastic anemia.

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“…There was a study which adopted FCM and reported significant higher proportions of CD13 + , CD33 + , CD34 + and HLA-DR + granulocytes while lower proportions of CD15 + and CD10 + granulocytes in MDS patients than AA patients and normal people. In addition, CD13 + , CD33 + , CD34 + and HLA-DR + granulocytes were much more abundant during the transition from refractory anemia (RA) to refractory anemia with excess blasts (RAEB), but CD15 + granulocytes were less abundant [ 5 ]. These data suggest that the immunophenotype of bone marrow granulocytes could bring more benefit in differentiation between MDS and other bone marrow failure disorders.…”

Section: Introductionmentioning

confidence: 99%

Immunophenotypic changes of monocytes in myelodysplastic syndrome and clinical significance

et al. 2022

Clin Exp Med

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Immunophenotype of myeloid granulocytes: a pilot study for distinguishing myelodysplastic syndrome and aplastic anemia by flow cytometry

Cited by 8 publications

References 21 publications

Immunophenotype of Erythroid Precursors in Patient with Pure Red Cell Aplasia (PRCA): Utility of Analysis of Erythroid Maturation

Immunophenotype of Erythroid Precursors in Patient with Pure Red Cell Aplasia (PRCA): Utility of Analysis of Erythroid Maturation

The Application of Decision Tree Model in Differential Diagnosis of Myelodysplastic Syndrome and Aplastic Anemia

Immunophenotypic changes of monocytes in myelodysplastic syndrome and clinical significance

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