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Updated: Aug 9, 2026
Single-cell Analysis of Immunophenotype and Cytokine Production in Peripheral Whole Blood via Mass Cytometry
Published on: June 26, 2018
[Immunophenotype analysis in 121 patients with lymphoproliferative diseases by flow cytometry]
Xue-Mei Sun1, Jun-Hao Chen, Jing-Yan Xu
1Genetic Research Center, Basic Medical College, South East University, Nanjing, Jiangsu, 210009, PR China. xuemei_sun@hotmail.com
Insights
Flow cytometry immunophenotype analysis accurately diagnoses lymphoid malignancies. This method improves diagnostic accuracy for lymph nodes, blood, bone marrow, and cerebrospinal fluid, aiding in differentiated diagnosis and minimal residual disease detection.
Area of Science:
- Hematology
- Immunology
- Oncology
Context:
- Lymphoproliferative diseases present diagnostic challenges.
- Accurate immunophenotyping is crucial for classifying lymphoid malignancies.
- Flow cytometry offers a multi-parametric approach for cellular analysis.
Purpose:
- To evaluate the diagnostic accuracy of multi-parameter flow cytometry (FCM) immunophenotype analysis in suspected lymphoid malignancies.
- To compare FCM with routine morphological, pathological, and immunohistochemical methods.
- To assess FCM's utility across various sample types including lymph nodes, blood, bone marrow, and cerebrospinal fluid.
Summary:
- FCM successfully diagnosed three lymph node samples that were indeterminate by routine methods.
- In blood and bone marrow samples, FCM achieved a 96/97 diagnostic rate according to the WHO classification, surpassing the 88/97 rate of routine immunohistochemistry.
- FCM enhanced the diagnostic accuracy for central nervous system involvement by leukemia or lymphoma in cerebrospinal fluid samples.
Impact:
- Multi-parameter FCM significantly improves diagnostic accuracy in lymphoid malignancies.
- FCM is valuable for initial diagnosis, differential diagnosis, and detecting minimal residual disease in lymphoproliferative disorders.
- This technique refines the diagnostic pathway for hematologic neoplasms.
Background & Objective:
Multiple parameter immunophenotype analysis by flow cytometry (FCM) could improve the accuracy of diagnosis in lymphoproliferative diseases. This study was to analyze the immunophenotype of 135 samples, including lymph nodes, blood, bone marrow, and cerebrospinal fluid samples, from 121 patients with suspected lymphoid malignancies, to evaluate its role in diagnosis.
Methods:
All samples were tested by routine morphological, pathological, and immunohistochemical methods, and analyzed by FCM in suspended single cells, to compare the accuracy of different diagnostic methods.
Results:
(1) Three of 23 lymph nodes, which failed to be diagnosed by routine methods, were determined by flow cytometric immunophenotype analysis. (2) According to new WHO classification, 96 of 97 blood or bone marrow aspiration samples were diagnosed by flow cytometric immunophenotype analysis, while 88 of 97 samples were diagnosed by routine immunohistochemical method. (3) Multiple parameter immunophenotype analysis in cerebrospinal fluid samples by FCM improved the diagnostic accuracy of leukemia or lymphoma involvement of central nervous system.
Conclusions:
Multiple parameter immunophenotype analysis by FCM improves the accuracy of diagnosis in lymphoid malignancies, and can be used in diagnosis, differentiated diagnosis, and detection of minimal residue in lymphoproliferative diseases.
