Optimizing Markers for Chronic Lymphocytic Leukemia Diagnosis by Flow Cytometry: Results From the Nationwide Thai Lymphoma Study Group
1
Issued Date
2025-01-01
Resource Type
ISSN
08878013
eISSN
10982825
Scopus ID
2-s2.0-105018514928
Pubmed ID
41059584
Journal Title
Journal of Clinical Laboratory Analysis
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Clinical Laboratory Analysis (2025)
Suggested Citation
Sathitakorn O., Kobbuaklee S., Chanswangphuwana C., Rattanathammethee T., Makruasi N., Chintabanyat A., Chuncharunee S., Phiphitaporn P., Khuhapinant A., Wong P., Julamanee J., Thookhamme C., Norasetthada L., Bunworasate U., Wudhikarn K., Intragumtornchai T., Polprasert C. Optimizing Markers for Chronic Lymphocytic Leukemia Diagnosis by Flow Cytometry: Results From the Nationwide Thai Lymphoma Study Group. Journal of Clinical Laboratory Analysis (2025). doi:10.1002/jcla.70116 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/112680
Title
Optimizing Markers for Chronic Lymphocytic Leukemia Diagnosis by Flow Cytometry: Results From the Nationwide Thai Lymphoma Study Group
Author's Affiliation
Chulalongkorn University
Khon Kaen University
Siriraj Hospital
Faculty of Medicine, Chiang Mai University
Naresuan University
Ramathibodi Hospital
Faculty of Medicine, Chulalongkorn University
Faculty of Medicine, Prince of Songkla University
Chulabhorn Royal Academy
Navamindradhiraj University
Faculty of Medicine, Srinakharinwirot University
Khon Kaen University
Siriraj Hospital
Faculty of Medicine, Chiang Mai University
Naresuan University
Ramathibodi Hospital
Faculty of Medicine, Chulalongkorn University
Faculty of Medicine, Prince of Songkla University
Chulabhorn Royal Academy
Navamindradhiraj University
Faculty of Medicine, Srinakharinwirot University
Corresponding Author(s)
Other Contributor(s)
Abstract
Introduction: Accurate diagnosis of chronic lymphocytic leukemia (CLL) is crucial for effective management. Although recent advancements in flow cytometry have significantly improved diagnostic accuracy, distinguishing atypical cases of CLL remains challenging. This study aimed to identify specific markers to enhance CLL diagnosis and prognostic assessment. Methods: Blood or bone marrow from patients presenting with persistent lymphocytosis (> 5 × 10<sup>3</sup>/μL) was collected. Flow cytometric analysis was performed using a customized CLL panel to evaluate the expression of CD markers for the diagnosis of CLL. Clinical and laboratory data were reviewed to support the CLL diagnosis. Results: A total of 228 patients were included in the study, including 206 patients (90.4%) in the CLL group and 22 patients (9.6%) in the non-CLL group. The use of CD5, CD19, and CD200 in combination for diagnosing CLL demonstrated a sensitivity of 82.5% (95% CI, 76.6–87.4) and a specificity of 90.9% (95% CI, 70.8–98.9). In the final predictive model, which incorporated five markers (CD5, CD19, CD200, CD31, and CD11c), both specificity and positive predictive value for CLL diagnosis were close to 100% (95% CI, 84.6–100 and 95.5–100, respectively). CD38 was identified as an independent predictor of increased relapse risk, while LAIR expression was associated with a reduced relapse rate. Conclusion: Expression of CD5, CD19, and CD200 by flow cytometry demonstrated a highly sensitive and accurate diagnostic utility for CLL. Adding both CD31 and CD11c to the predictive model further improved diagnostic specificity, reaching as high as 100%. The identification of relapse-associated markers provides valuable insights for personalized treatment strategies.