通过流式细胞术优化慢性淋巴细胞白血病诊断的标记物:来自泰国全国淋巴瘤研究组的结果。

IF 2.9 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Ornnicha Sathitakorn, Sirorat Kobbuaklee, Chantiya Chanswangphuwana, Thanawat Rattanathammethee, Nisa Makruasi, Anothai Chintabanyat, Suporn Chuncharunee, Pisa Phiphitaporn, Archrob Khuhapinant, Peerapon Wong, Jakrawadee Julamanee, Chayapa Thookhamme, Lalita Norasetthada, Udomsak Bunworasate, Kitsada Wudhikarn, Tanin Intragumtornchai, Chantana Polprasert
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引用次数: 0

摘要

慢性淋巴细胞白血病(CLL)的准确诊断是有效治疗的关键。尽管流式细胞术的最新进展显著提高了诊断准确性,但区分非典型CLL病例仍然具有挑战性。本研究旨在确定特异性标志物,以提高CLL的诊断和预后评估。方法:采集持续性淋巴细胞增多症患者的血液或骨髓(bbb5 × 103/μL)。使用定制的CLL面板进行流式细胞分析,以评估诊断CLL的CD标记物的表达。临床和实验室资料进行审查,以支持CLL的诊断。结果:共纳入228例患者,其中CLL组206例(90.4%),非CLL组22例(9.6%)。使用CD5、CD19和CD200联合诊断CLL的敏感性为82.5% (95% CI, 76.6-87.4),特异性为90.9% (95% CI, 70.8-98.9)。在最终的预测模型中,包括5种标志物(CD5、CD19、CD200、CD31和CD11c), CLL诊断的特异性和阳性预测值均接近100% (95% CI分别为84.6-100和95.5-100)。CD38被确定为复发风险增加的独立预测因子,而LAIR表达与复发率降低相关。结论:流式细胞术检测CD5、CD19和CD200的表达对CLL的诊断具有高度敏感性和准确性。在预测模型中同时加入CD31和CD11c,进一步提高了诊断特异性,最高可达100%。复发相关标志物的识别为个性化治疗策略提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing Markers for Chronic Lymphocytic Leukemia Diagnosis by Flow Cytometry: Results From the Nationwide Thai Lymphoma Study Group.

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 × 103/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.

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来源期刊
Journal of Clinical Laboratory Analysis
Journal of Clinical Laboratory Analysis 医学-医学实验技术
CiteScore
5.60
自引率
7.40%
发文量
584
审稿时长
6-12 weeks
期刊介绍: Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.
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