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对接受筛查人群的鼻咽癌风险评分进行前瞻性评估。

Prospective assessment of a nasopharyngeal carcinoma risk score in a population undergoing screening.

作者信息

Chen Geng-Hang, Liu Zhiwei, Ji Ming-Fang, Pfeiffer Ruth M, Huang Qi-Hong, Lu Yu-Qiang, Xie Shang-Hang, Lin Chu-Yang, Chen Wen-Jie, Chen Xiao-Xia, Ling Wei, Fan Yu-Ying, Yu Xia, Wu Biao-Hua, Wei Kuang-Rong, Rao Hui-Lian, Guo Xiang, Hong Ming-Huang, Ma Jun, Liu Qing, Hildesheim Allan, Cao Su-Mei

机构信息

Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.

School of Public Health, Sun Yat-sen University, Guangzhou, China.

出版信息

Int J Cancer. 2021 May 15;148(10):2398-2406. doi: 10.1002/ijc.33424. Epub 2020 Dec 24.

Abstract

Despite evidence suggesting the utility of Epstein-Barr virus (EBV) markers to stratify individuals with respect to nasopharyngeal carcinoma (NPC) risk in NPC high-risk regions, no validated NPC risk prediction model exists. We aimed to validate an EBV-based NPC risk score in an endemic population undergoing screening for NPC. This prospective study was embedded within an ongoing NPC screening trial in southern China initiated in 2008, with 51 235 adult participants. We assessed the score's discriminatory ability (area under the receiver-operator-characteristics curve, AUC). A new model incorporating the EBV score, sex and family history was developed using logistic regression and internally validated using cross-validation. AUCs were compared. We also calculated absolute NPC risk combining the risk score with population incidence and competing mortality data. A total of 151 NPC cases were detected in 2008 to 2016. The EBV-based score was highly discriminating, with AUC = 0.95 (95% CI = 0.93-0.97). For 90% specificity, the score had 87.4% sensitivity (95% CI = 81.0-92.3%). As specificity increased from 90% to 99%, the positive predictive value increased from 2.4% (95% CI = 1.9-3.0%) to 12.5% (9.9-15.5%). Correspondingly, the number of positive tests per detected NPC case decreased from 272 (95% CI = 255-290) to 50 (41-59). Combining the score with other risk factors (sex, first-degree family history of NPC) did not improve AUC. Men aged 55 to 59 years with the highest risk profile had the highest 5-year absolute NPC risk of 6.5%. We externally validated the discriminatory accuracy of a previously developed EBV score in a high-risk population. Adding nonviral risk factors did not improve NPC prediction.

摘要

尽管有证据表明,在鼻咽癌(NPC)高风险地区,爱泼斯坦-巴尔病毒(EBV)标志物有助于对个体的鼻咽癌风险进行分层,但目前尚无经过验证的鼻咽癌风险预测模型。我们旨在对一项正在进行的针对鼻咽癌筛查的地方性人群中基于EBV的鼻咽癌风险评分进行验证。这项前瞻性研究纳入了2008年在中国南方启动的一项正在进行的鼻咽癌筛查试验,共有51235名成年参与者。我们评估了该评分的鉴别能力(受试者工作特征曲线下面积,AUC)。使用逻辑回归开发了一个包含EBV评分、性别和家族史的新模型,并使用交叉验证进行内部验证。比较了AUC。我们还结合风险评分与人群发病率和竞争死亡率数据计算了绝对鼻咽癌风险。在2008年至2016年期间共检测到151例鼻咽癌病例。基于EBV的评分具有高度鉴别力,AUC = 0.95(95%CI = 0.93 - 0.97)。对于90%的特异性,该评分的灵敏度为87.4%(95%CI = 81.0 - 92.3%)。随着特异性从90%增加到99%,阳性预测值从2.4%(95%CI = 1.9 - 3.0%)增加到12.5%(9.9 - 15.5%)。相应地,每例检测到的鼻咽癌病例的阳性检测数从272例(95%CI = 255 - 290)降至50例(41 - 59)。将该评分与其他风险因素(性别、鼻咽癌一级家族史)相结合并未提高AUC。风险特征最高的55至59岁男性的5年绝对鼻咽癌风险最高,为6.5%。我们在高风险人群中对外验证了先前开发的EBV评分的鉴别准确性。添加非病毒风险因素并未改善鼻咽癌预测。

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