Shao Hengrong, Chen Mengting, Xiao Yufei, Xu Li, Cao Huaquan, Hong Bo, Qian Yun
Department of Clinical Laboratory, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310000, China.
Department of Clinical Laboratory, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
Int J Med Sci. 2025 Apr 13;22(9):2165-2173. doi: 10.7150/ijms.110758. eCollection 2025.
This study aims to establish a suitable risk prediction model of NPC in regions with relatively low-incidence in southern China. We retrospectively analysed the data of 198 patients with NPC and 398 healthy individuals admitted to The Second Affiliated Hospital, Zhejiang University School of Medicine, from February 2023 to October 2024. The levels of different serum biomarkers (P85-Ab, VCA-IgA, VCA-IgM, VCA-IgG, Rta-IgG and EA-IgA) were compared between patients with NPC and healthy individuals. Binary logistic regression was used to construct a risk prediction model for NPC, and ROC curves were plotted to evaluate the performance of the model. Compared with healthy individuals, patients with NPC exhibited significantly elevated levels of EA-IgA (P < 0.001), Rta-IgG (P < 0.001), P85-Ab (P < 0.001) and VCA-IgA (χ = 262.25; P < 0.001). Binary logistic regression showed that P85-Ab (HR = 572.225; P < 0.001), VCA-IgA (HR = 31.877; P < 0.001) and Rta-IgG (HR = 10.670; P = 0.004) were independent risk factors for NPC. The AUC of P85-Ab combined with Rta-IgG and VCA-IgA for predicting the risk of NPC was 0.977 (95% CI: 0.959-0.988), which was greater than the AUC values of Rta-IgG and VCA-IgA (P < 0.01 for all). The combination of P85-Ab with Rta-IgG and VCA-IgA had a sensitivity of 91.36% and a specificity of 99.25%. P85-Ab combined with VCA-IgA and Rta-IgG is an optimal serological biomarker for the diagnosis of NPC in low-incidence regions in southern China.
本研究旨在建立中国南方发病率相对较低地区鼻咽癌（NPC）的合适风险预测模型。我们回顾性分析了2023年2月至2024年10月期间浙江大学医学院附属第二医院收治的198例NPC患者和398例健康个体的数据。比较了NPC患者和健康个体中不同血清生物标志物（P85-Ab、VCA-IgA、VCA-IgM、VCA-IgG、Rta-IgG和EA-IgA）的水平。采用二元逻辑回归构建NPC风险预测模型，并绘制ROC曲线评估模型性能。与健康个体相比，NPC患者的EA-IgA（P < 0.001）、Rta-IgG（P < 0.001）、P85-Ab（P < 0.001）和VCA-IgA水平显著升高（χ = 262.25；P < 0.001）。二元逻辑回归显示，P85-Ab（HR = 572.225；P < 0.001）、VCA-IgA（HR = 31.877；P < 0.001）和Rta-IgG（HR = 10.670；P = 0.004）是NPC的独立危险因素。P85-Ab联合Rta-IgG和VCA-IgA预测NPC风险的AUC为0.977（95%CI：0.959 - 0.988），大于Rta-IgG和VCA-IgA的AUC值（均P < 0.01）。P85-Ab联合Rta-IgG和VCA-IgA的敏感性为91.36%，特异性为99.25%。P85-Ab联合VCA-IgA和Rta-IgG是中国南方低发病率地区诊断NPC的最佳血清学生物标志物。
