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Updated: Nov 2, 2025

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
[Quantitative Analysis on Immunophenotype of CD34+ Myeloid Precursor Cells in Myelodysplastic Syndrome and Its
Xi Chen1, Fang-Gang Ren1, Yao-Fang Zhang1
1Department of Hematology, Second Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China.
Objective:
To investigate the quantitative expression of immunophenotype of CD34+ myeloid precursor cells in myelodysplastic syndrome (MDS) patients and its correlation with clinical characteristics, and understand the effect of quantitative expression of CD7 and CD117 on the prognosis of low-risk MDS patients.
Methods:
Multi-parameter flow cytometry (FCM) was used to detect the proportion and mean fluorescence intensity (MFI) of each antigen of bone marrow CD34+ myeloid precursor cells in 79 MDS patients. The correlation between the expression level of each immune marker and clinical characteristics was compared. The effects of quantitative expressions of CD7 and CD117 on the overall survival rate of low-risk patients were explored.
Results:
Bone marrow blast cell proportion (P<0.01), RBC level (P<0.01), and Hb level (P<0.05) of high-risk MDS patients were higher, while EPO level (P<0.05) was lower than those of low-risk patients. The proportion of CD34+ blast cells (P<0.01), the proportion of CD117 (P<0.05) and the MFI of CD7 (P<0.05) were higher in high-risk patients than those in low-risk patients, but the MFI of CD123 was lower (P<0.05). In high-risk MDS patients, CD15/CD34 (MFI) and CD19/CD34 (MFI) positively correlated with the proportion of total T cells (r=0.458; r=0.505), while CD19/CD34 (%) and CD19/CD34 (MFI) negatively correlated with WBC levels (r=-0.469; r=-0.503). In low-risk MDS patients, CD34+ (%) positively correlated with bone marrow erythrocyte proportion, PLT level and neutrophil level (r=0.426; r=0.486; r=0.495), but negatively correlated with LDH level (r=-0.421); WT1 expression level was positively correlated with CD10/CD34 (%), CD10/CD34 (MFI) and CD117/CD34 (MFI) (r=0.745; r=0.800; r=0.434), while negatively correlated with CD11b/CD34 (%)(r=-0.457); CD19/CD34 (%) and CD71/CD34 (MFI) negatively correlated with NK cell proportion (r=-0.786; r=-0.514); CD10/CD34 (%) positively correlated with Th/Ts, while CD7/CD34 (MFI) negatively correlated with the proportion of Th cells (r=0.738; r=-0.513); HLADR/CD34 (%) and HLADR/CD34 (MFI) negatively correlated with PLT level (r=-0.461; r=-0.445), while HLADR/CD34 (MFI) positively correlated with bone marrow NAP fraction (r=0.552). The quantitative expression of CD7 and CD117 had no significant effect on the overall survival rate of low-risk MDS patients.
Conclusion:
The immunophenotype of CD34+ myeloid precursor cell in different risk groups in MDS patients is related to clinical characteristics. Bone marrow cell morphology, clinical and laboratory features and immunophenotype will be of great significance to the diagnosis, clinical classification and prognosis evaluation of MDS patients.
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