Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.
Int J Cancer. 2024 Oct 15;155(8):1400-1408. doi: 10.1002/ijc.35037. Epub 2024 Jun 1.
Nasopharyngeal carcinoma (NPC) risk prediction models based on Epstein-Barr virus (EBV)-antibody testing have shown potential for screening of NPC; however, the long-term stability is unclear. Here, we investigated the kinetics of two EBV-antibody NPC risk scores within the Taiwan NPC Multiplex Family Study. Among 545 participants with multiple blood samples, we evaluated the stability of a 2-marker enzyme-linked immunosorbent assay score and 13-marker multiplex serology score using the intra-class correlation coefficient (ICC) by fitting a linear mixed model that accounted for the clustering effect of multiple measurements per subject and age. We also estimated the clustering of positive tests using Fleiss's kappa statistic. Over an average 20-year follow-up, the 2-marker score showed high stability over time, whereas the 13-marker score was more variable (p < .05). Case-control status is associated with the kinetics of the antibody response, with higher ICCs among cases. Positive tests were more likely to cluster within the same individual for the 2-marker score than the 13-marker score (p < .05). The 2-marker score had an increase in specificity from ~90% for single measurement to ~96% with repeat testing. The 13-marker score had a specificity of ~73% for a single measurement that increased to ~92% with repeat testing. Among individuals who developed NPC, none experienced score reversion. Our findings suggest that repeated testing could improve the specificity of NPC screening in high-risk NPC multiplex families. Further studies are required to determine the impact on sensitivity, establish optimal screening intervals, and generalize these findings to general population settings in high-risk regions.
基于 Epstein-Barr 病毒 (EBV)-抗体检测的鼻咽癌 (NPC) 风险预测模型已显示出用于 NPC 筛查的潜力;然而,其长期稳定性尚不清楚。在此,我们在台湾 NPC 多重家族研究中研究了两种 EBV-抗体 NPC 风险评分的动力学。在 545 名具有多个血液样本的参与者中,我们通过拟合线性混合模型来评估 2 标志物酶联免疫吸附测定评分和 13 标志物多重血清学评分的稳定性,该模型考虑了每个个体和年龄的多次测量的聚类效应。我们还使用 Fleiss 的 kappa 统计量估计了阳性测试的聚类。在平均 20 年的随访中,2 标志物评分显示出随时间的高度稳定性,而 13 标志物评分则更具变异性(p<.05)。病例对照状态与抗体反应的动力学有关,病例中的 ICC 更高。阳性测试在同一个体中比 13 标志物评分更有可能聚类(p<.05)。2 标志物评分在单次检测时的特异性从约 90%增加到重复检测时的约 96%。13 标志物评分在单次检测时的特异性约为 73%,重复检测时增加到约 92%。在发展为 NPC 的个体中,没有个体经历评分逆转。我们的研究结果表明,重复检测可以提高高危 NPC 多重家族中 NPC 筛查的特异性。需要进一步的研究来确定对敏感性的影响,确定最佳筛查间隔,并将这些发现推广到高危地区的一般人群。