Related Experiment Video
Updated: Jan 31, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Clinically useful flow cytometry approach to identify immunophenotype in acute leukemia
Guifang Ouyang1,2, Zhijuan Xu1,2, Danjie Jiang3,2
11 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Insights
Flow cytometry rapidly identifies immunophenotypes in acute leukemia (AL). The study suggests cluster of differentiation 2 (CD2) may predict prognosis in acute myeloid leukemia (AML) patients.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Acute leukemia (AL) is a complex malignant disease originating from hematopoietic cell abnormalities.
- Immunophenotyping is crucial for AL diagnosis and classification.
- Flow cytometry offers a potential method for rapid immunophenotyping.
Purpose of the Study:
- To investigate the utility of flow cytometry for immunophenotyping leukemic cells.
- To assess the clinical usefulness of immunophenotyping in AL treatment.
- To explore the prognostic value of specific immunophenotypic markers.
Main Methods:
- Bone marrow specimens from AL patients were analyzed for antigen expression using flow cytometry.
- Kaplan-Meier survival analysis was employed to evaluate marker impact on prognosis.
- Genetic testing was performed to detect the BCR-ABL fusion gene.
Main Results:
- Distinct immunophenotypic marker expression profiles were observed between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML).
- A significant association between the CD2 surface marker and survival was found in AML, but not in ALL.
- Increased prevalence of the BCR-ABL fusion gene was noted in ALL compared to AML samples.
Conclusions:
- Flow cytometry provides a rapid and effective method for AL immunophenotype identification.
- The CD2 marker shows potential as a predictive prognostic indicator for AML patients.
Objectives:
Acute leukemia (AL) is a highly heterogeneous malignant disease caused by hematopoietic cell abnormalities. Our study investigated the potential for immunophenotyping of leukemic cells via flow cytometry and the clinical usefulness of this approach in treatment of AL.
Methods:
Bone marrow (BM) specimens were collected to detect antigen expression on hematopoietic cells in pre-treatment samples from patients with AL. In addition, fraction survival curves were calculated using the Kaplan-Meier method to explore the effect of markers on prognosis in AL.
Results:
Expression levels of immunophenotypic markers in patients with acute lymphoblastic leukemia (ALL) were significantly different from those in patients with acute myeloid leukemia (AML). In addition, there was a potential association between the surface marker, cluster of differentiation 2 (CD2), and fraction survival in AML. However, no similar result was found in ALL. Moreover, genetic tests showed greater positive variation of the break point cluster-Abelson tyrosine kinase ( BCR-ABL) fusion gene in samples from patients with ALL than in samples from patients with AML.
Conclusions:
We have shown a rapid and effective flow cytometry method that enables the identification of immunophenotype in AL. Moreover, CD2 may constitute a predictive marker for prognosis in patients with AML.
Related Concept Videos
Flow Cytometry
In...
Acute Pancreatitis II: Clinical Manifestations and Management
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations
Acute Kidney Injury III: Clinical Manifestations
Frustration and Conflict: Approach-Approach, Approach-Avoidance
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

