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A correlation study of immunophenotypic, cytogenetic, and clinical features of 180 AML patients in China
Jine Zheng1, Xingbing Wang, Yu Hu
1Center for Stem Cell Research and Application, Institute of Hematology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Insights
This study analyzed 180 acute myeloid leukemia (AML) patients in China, correlating immunophenotype with morphology, cytogenetics, and clinical data. Findings link specific antigen expressions to AML subtypes and abnormal karyotypes, aiding diagnosis and treatment strategies.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- The World Health Organization (WHO) classification is crucial for diagnosing leukemia.
- Understanding the immunophenotype of acute myeloid leukemia (AML) is essential for accurate classification and treatment.
- Correlating immunological, morphological, cytogenetic, and clinical features aids in a comprehensive understanding of AML.
Purpose of the Study:
- To elucidate the immunophenotype of acute myeloid leukemia (AML) in Chinese patients.
- To characterize the correlations among morphological, immunological, cytogenetic, and clinical features of AML.
- To assess the utility of immunophenotype analysis in AML diagnosis and classification.
Main Methods:
- Bone marrow samples from 180 AML patients in China were analyzed using flow cytometry.
- Immunophenotyping was performed to identify cell surface antigens.
- Karyotype analysis using G-banding was conducted on 122 patients.
Main Results:
- Specific antigens (CD34, CD2, CD14, CD19, CD56, HLA-DR) correlated with French-American-British (FAB) subtypes.
- Translocation t(8;21) was associated with AML-M2 and specific antigen expressions (CD15/CD19/CD34/CD56).
- Antigen expressions (CD22, CD56, TdT) correlated with abnormal karyotypes, while others (CD4, CD7, CD14, CD56, TdT) linked to clinical features like white blood cell count and age.
Conclusions:
- Immunophenotype analysis is valuable for AML diagnosis and classification.
- Karyotype abnormalities and clinical features are closely linked to abnormal antigen expression in AML.
- This study provides a basis for further research into clinicopathological features and optimal treatment strategies for AML.
Abstract:
New WHO classification has been widely applied in the diagnosis of leukemia. To elucidate the immunophenotype of acute myeloid leukemia (AML) and characterize the correlation among morphological, immunological, cytogenetic, and clinical features, we studied the bone marrow immunophenotypes of 180 AML patients in China by flow cytometry. The results showed that CD34, CD2, CD14, CD19, CD56, and HLA-DR were correlated with FAB subtypes. Amongst the 180 patients enrolled in this study, 122 cases were also subjected to karyotype analysis by G-banding technology and abnormal karyotypes were detected in 69 out of 122 patients. Correlation assay showed that t(8;21) was only present in 16 AML-M2 patients, and strongly associated with the individual or combinational expressions of CD15/CD19/CD34/CD56. As to M3, although lymphoid lineage antigens were observed in a considerable number of patients, they were never detected in t(15;17) positive patients. The expressions of CD22, CD56, and TdT showed significant correlation with the overall presence of abnormal karyotype. Additionally, the expressions of CD4, CD7, CD14, CD56, and TdT were positively correlated with clinical features such as white blood cell count, platelet count, and patient's age. In conclusion, immunophenotype analysis was useful for AML diagnosis and classification. At the same time, the data also suggested that the karyotype abnormalities and clinical features were tightly linked with abnormal antigen expression characteristics in AML patients. As one of the largest correlative study performed in China, the results highlighted the importance of a morphological, immunological, and cytogenetic classification of AML that might constitute a working basis for future studies aimed at a better definition of clinicopathological features and optimal treatment strategy for these leukemias.
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