Niyazi Mayineur, Sui Shuang, Zhu Kaichun, Wang Lin, Jiao Zhen, Lu Ping
Department of Gynecology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Gynecol Obstet Invest. 2017;82(1):22-29. doi: 10.1159/000444585. Epub 2016 Mar 9.
This study aims at determining the correlation between CpG methylation in human papillomavirus (HPV)-16 L1 and the persistent infections and development of cervical carcinoma in Uyghur women.
Among the 4,364 Uyghur women, specimens were collected from 145 (3.3%) HPV-16 single infected cases, which were divided into 5 groups: transient infection (n = 32), persistent infection (n = 21, 12 months), cervical intraepithelial neoplasia (CIN) grade 1 (CIN1, n = 21), CIN2-3 (n = 33) and invasive cervical cancer (n = 38) groups. Methylation level in HPV-16 L1 was quantified by pyrosequencing, and values in the prediction and diagnosis of CIN2+ lesions were evaluated with receiver operating characteristic curves.
With the progression of the disease, increased methylation was detected at 13 CpG sites, and a high methylation level was associated with the risk of CIN2+. The strongest related site was 6650 (OR 9.89, 95% CI 3.57-27.44). The area under ROC curve (AUC) of methylation at each CpG site to differentiate between CIN2+ and <CIN2 ranged from 0.756 to 0.862, and the greatest AUC was at position 6650 (AUC 0.862, 95% CI 0.803-0.920). A high methylation level at CpG site 6389, 6457, 6581, 6650, 6796 and 7034 was connected with increased risk of HPV-persistent infection, and the strongest associated CpG site was 6389 (OR 13.33, 95% CI 3.95-28.08). The AUC in the prediction of HPV persistent infection was in the range of 0.656-0.943 and the site with the highest diagnostic value was 6389 (AUC 0.943, 95% CI 0.884-1.000).
These results indicate that the methylation of CpG sites in HPV-16 L1 has a great value in contributing to the prediction of HPV-persistent infection and cervical precancerous progression.
本研究旨在确定人乳头瘤病毒(HPV)-16 L1基因中CpG甲基化与维吾尔族女性宫颈癌持续感染及发病之间的相关性。
在4364名维吾尔族女性中,收集了145例(3.3%)HPV-16单感染病例的样本,这些病例被分为5组:短暂感染组(n = 32)、持续感染组(n = 21,感染12个月)、宫颈上皮内瘤变(CIN)1级(CIN1,n = 21)、CIN2-3组(n = 33)和浸润性宫颈癌组(n = 38)。通过焦磷酸测序对HPV-16 L1基因的甲基化水平进行定量,并使用受试者工作特征曲线评估其在预测和诊断CIN2+病变中的价值。
随着疾病进展,在13个CpG位点检测到甲基化增加,高甲基化水平与CIN2+风险相关。相关性最强的位点是6650(比值比9.89,95%置信区间3.57 - 27.44)。每个CpG位点甲基化用于区分CIN2+和<CIN2的ROC曲线下面积(AUC)范围为0.756至0.862,最大AUC位于6650位点(AUC 0.862,95%置信区间0.803 - 0.920)。CpG位点6389、6457、6581、6650、6796和7034的高甲基化水平与HPV持续感染风险增加相关,相关性最强的CpG位点是6389(比值比13.33,95%置信区间3.95 - 28.08)。预测HPV持续感染的AUC范围为0.656 - 0.943,诊断价值最高的位点是6389(AUC 0.943,95%置信区间0.884 - 1.000)。
这些结果表明,HPV-16 L1基因中CpG位点的甲基化在预测HPV持续感染和宫颈病变进展方面具有重要价值。