EFLM Working Group on Biological Variation, Milan, Italy.
EFLM Task Group for the Biological Variation Database, Milan, Italy.
Clin Chem Lab Med. 2021 May 10;60(4):543-552. doi: 10.1515/cclm-2021-0283. Print 2022 Mar 28.
Reliable biological variation (BV) data are required for the clinical use of tumor markers in the diagnosis and monitoring of treatment effects in cancer. The European Biological Variation Study (EuBIVAS) was established by the EFLM Biological Variation Working Group to deliver BV data for clinically important measurands. In this study, EuBIVAS-based BV estimates are provided for cancer antigen (CA) 125, CA 15-3, CA 19-9, carcinoembryonic antigen, cytokeratin-19 fragment, alpha-fetoprotein and human epididymis protein 4.
Subjects from five European countries were enrolled in the study, and weekly samples were collected from 91 healthy individuals (53 females and 38 males; 21-69 years old) for 10 consecutive weeks. All samples were analyzed in duplicate within a single run. After excluding outliers and homogeneity analysis, the BVs of tumor markers were determined by CV-ANOVA on trend-corrected data, when relevant (Røraas method).
Marked individuality was found for all tumor markers. CYFRA 21-1 was the measurand with the highest index of individuality (II) at 0.67, whereas CA 19-9 had the lowest II at 0.07. The CV s of HE4, CYFRA 21-1, CA 19-9, CA 125 and CA 15-3 of pre- and postmenopausal females were significantly different from each other.
This study provides updated BV estimates for several tumor markers, and the findings indicate that marked individuality is characteristic. The use of reference change values should be considered when monitoring treatment of patients by means of tumor markers.
可靠的生物学变异 (BV) 数据对于肿瘤标志物在癌症的诊断和治疗效果监测中的临床应用至关重要。欧洲生物学变异研究 (EuBIVAS) 由 EFLM 生物学变异工作组建立,旨在为临床重要的测量指标提供 BV 数据。在这项研究中,提供了基于 EuBIVAS 的 BV 估计值,用于癌症抗原 (CA) 125、CA 15-3、CA 19-9、癌胚抗原、细胞角蛋白 19 片段、甲胎蛋白和人附睾蛋白 4。
本研究纳入了来自五个欧洲国家的受试者,从 91 名健康个体(53 名女性和 38 名男性;21-69 岁)中每周采集一次样本,连续采集 10 周。所有样本均在单个运行中进行重复分析。在排除离群值和同质性分析后,当相关时(Røraas 法),通过趋势校正数据的 CV-ANOVA 确定肿瘤标志物的 BV。
所有肿瘤标志物均表现出明显的个体差异。CYFRA 21-1 的个体差异指数 (II) 最高,为 0.67,而 CA 19-9 的 II 最低,为 0.07。绝经前和绝经后女性的 HE4、CYFRA 21-1、CA 19-9、CA 125 和 CA 15-3 的 CV 值之间存在显著差异。
本研究提供了几种肿瘤标志物的更新 BV 估计值,结果表明存在明显的个体差异。在通过肿瘤标志物监测患者的治疗效果时,应考虑使用参考变化值。