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Updated: Jun 20, 2026

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation
Published on: November 3, 2018
[Abnormality of immunophenotyping in patients with myelodysplastic syndrome]
Juan Xu1, Yi-Xian Guo, Hong Zhao
1Department of Hematology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. xujuandail@x263.net
Insights
Flow cytometry immunophenotyping effectively identifies myelodysplastic syndromes (MDS) with 76.6% sensitivity and 100% specificity. Abnormalities in immunophenotypes, especially involving multiple cell lineages, are key diagnostic indicators for MDS.
Area of Science:
- Hematology
- Immunology
- Flow Cytometry
Context:
- Myelodysplastic syndromes (MDS) are a group of clonal hematopoietic stem cell disorders.
- Accurate diagnosis of MDS is crucial for appropriate patient management.
- Immunophenotyping by flow cytometry offers a potential tool for MDS identification.
Purpose:
- To investigate immunophenotype abnormalities in MDS patients.
- To evaluate the diagnostic role of flow cytometry scoring system (FCSS) in identifying MDS.
- To determine the sensitivity and specificity of FCSS for MDS detection.
Summary:
- Flow cytometry detected immunophenotypes in 136 patients with hypocytosis and abnormal bone marrow hematopoiesis.
- The flow cytometric scoring system (FCSS) identified 111 MDS cases out of 136.
- FCSS demonstrated a sensitivity of 76.6% and a specificity of 100% for MDS identification, correlating well with traditional methods.
Impact:
- Immunophenotyping abnormalities are characteristic of MDS.
- Identifying main immunophenotype abnormalities and those involving multiple cell lineages aids in distinguishing MDS from non-MDS conditions.
- This study supports the utility of FCSS as a valuable diagnostic aid in MDS.
Abstract:
The study was aimed to investigate the abnormality of immunophenotypes in patients with myelodysplastic syndrome (MDS) and its role in the identification of MDS. The cell immunophenotypes of 136 patients with hypocytosis accompanied by abnormal hematopoiesis of bone marrow were detected by flow cytometry, the detected results were evaluated by flow cytometric scoring system (FCSS), and the sensitivity and specificity of positive results were determined by FCSS also. The correlation of results detected by FCSS to traditional diagnosis method was analysed. The results indicated that 111 out of 136 cases were diagnosed as MDS, and 25 were diagnosed as non-MDS. Among 111 MDS cases, 85 cases were FCSS positive, 18 cases were FCSS intermediate and 8 cases were FCSS negative, whereas in 25 non-MDS cases 24 cases were FCSS negative, 1 case was FCSS intermediate and no case was FCSS positive. The sensitivity of FCSS in identification of MDS was 76.6%, and the specificity of FCSS was 100%. There was a good correlation of FCSS to traditional method (R = 0.613, p = 0.000). It is concluded that the various abnormalities of immunophenotyping are found in patients with MDS, in which the main immunophenotype abnormality and the abnormality involving two cell lineages are key points to distinguish MDS from non-MDS.

