The role of immunophenotyping in differential diagnosis of chronic lymphocytic leukemia
Related Experiment Video
Updated: Apr 29, 2026

From a 2DE-Gel Spot to Protein Function: Lesson Learned From HS1 in Chronic Lymphocytic Leukemia
Published on: October 19, 2014
Insights
Flow cytometry immunophenotyping helps distinguish chronic lymphocytic leukemia (CLL) from other mature B-cell neoplasms (MBCN). A specific marker combination and CLL scoring system accurately identify CLL, aiding differential diagnosis.
Area of Science:
- Hematology
- Immunology
- Oncology
Background:
- Accurate diagnosis of chronic lymphocytic leukemia (CLL) relies on immunophenotyping via flow cytometry for differential diagnosis from other mature B-cell neoplasms (MBCN).
- Distinguishing CLL from MBCN is crucial for appropriate patient management and treatment strategies.
Purpose of the Study:
- To define the specific immunological profile of CLL cells.
- To establish a reliable method for differentiating CLL from other MBCN using flow cytometry.
Main Methods:
- Immunophenotyping by flow cytometry was performed on peripheral blood samples from 211 patients diagnosed with de novo MBCN.
- Analysis included B-cell counts, surface immunoglobulin light chain restriction, and expression of various B-cell antigens (CD19, CD20, CD22, CD5, CD23, FMC7, CD79b).
- A CLL scoring system was utilized to correlate with diagnostic outcomes.
Main Results:
- B-cell counts were significantly elevated in MBCN patients compared to healthy controls.
- B-cell monoclonality was detected in 96% of MBCN patients.
- CLL cells exhibited a distinct immunophenotype: CD19+, CD20(low), CD22(low), CD5(high), CD23+, FMC7-, CD79b(low), and sIg(low).
- A CLL score of 5 or 4 strongly indicated CLL (97% of CLL patients), while scores of 0-3 suggested other MBCN (96% of other MBCN patients).
Conclusions:
- A characteristic immunophenotype (CD19+ CD20low CD22low CD5high CD23+ FMC7- CD79blow sIglow) effectively differentiates CLL from other MBCN.
- The CLL scoring system, with scores of 4 or 5, is highly suggestive for diagnosing CLL.
- These findings enhance the accuracy of CLL diagnosis through flow cytometry immunophenotyping.
Introduction:
Accurate diagnosis of chronic lymphocytic leukemia (CLL) acquires immunophenotyping by flow cytometry in order to facilitate differential diagnosis between CLL and other mature B-cell neoplasms (MBCN).
Objective:
The aim of this study was to define immunological profile of CLL cells.
Methods:
Immunophenotyping by flow cytometry was performed on peripheral blood specimens at diagnosis in the group of 211 patients with de novo MBCN.
Results:
Absolute count of B-cells was significantly increased in all MBCN patients comparing to healthy control group (p < 0.05). B-cell monoclonality was detected in 96% of all MBCN patients, by using surface immunoglobulin (sIg) light chain restriction. B-cell antigens, CD19, CD20, CD22, were expressed with very high frequency in CLL and other MBCN. In comparison with other MBCN, in CLL group, the frequency of expression was higher for CD5 and CD23 (p < 0.0001), though lower for FMC7 antigen (p < 0.0001). CLL patients were characterized by lower expression patterns of CD20, CD22, CD79b, and sIg (p < 0.0001) as well as higher expression pattern of CD5 antigen (p < 0.05). Correlation between the final diagnosis of MBCN and values of CLL scoring system showed that the majority of CLL patients (97%) had higher values (5 or 4) whereas the majority of other MBCN patients (96%) had lower score values (0-3).
Conclusion:
Our results have shown that characteristic immunophenotype which differentiates CLL from other MBCN is defined by following marker combination--CD19+ CD20(+Iow) CD22(+low) CD5(+high) CD23+ FMC7-CD79b(+Iow) sIg(+Iow). CLL score values of 5 or 4 points are highly suggestive for diagnosis of CLL.
More Related Videos
09:02Immunoglobulin Gene Sequence Analysis In Chronic Lymphocytic Leukemia: From Patient Material To Sequence Interpretation
Published on: November 26, 2018
14:45Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
Published on: September 16, 2012