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宫颈细胞学异常的 HPV 特异性风险评估。

HPV-specific risk assessment of cervical cytological abnormalities.

机构信息

Department of Gynecological Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, People's Republic of China.

Key Laboratory of malignant tumor gene regulation and target therapy of Guangdong Higher Education Institutes, Sun Yat-Sen University, Guangzhou, People's Republic of China.

出版信息

BMC Cancer. 2021 Aug 24;21(1):949. doi: 10.1186/s12885-021-08703-w.

Abstract

BACKGROUND

Cytology and HPV genotype screening play an important role in cervical cancer detection. Whether multiple HPV genotyping can predict cytological lesions remains to be further studied.

METHODS

Two thousand two hundred twenty-four females were analyzed for cytology and HPV genotypes test. The possibility of predicting cytological lesions by HPV genotypes test was evaluated by multivariate logistic regression and area under the receiver operator characteristic curve (AUC).

RESULT

Abnormal cytological results were found in 479 participants. A total of 688 patients were detected with HPV infection, 619 with HR-HPV infection and 112 with LR-HRV infection. HPV-52 was found to be the most common type among these patients, and a relatively higher risk of cervical lesions was found in HPV positive females. HPV-16, 31, 33 and 58 were found to have significantly higher infection rates in patients with HSIL and higher lesions. The prediction model was developed based on age and HPV-specific genotypes, with the AUC of 0.73 for cytological abnormalities and 0.82 for HSIL and higher lesions.

CONCLUSION

HPV-16, 31, 33 and 58 infection are significant risk factors for cervical lesions. Combined HPV genotypes test can effectively predict cytological abnormalities.

摘要

背景

细胞学和 HPV 基因型筛查在宫颈癌检测中发挥着重要作用。HPV 多重基因分型是否能预测细胞学病变仍需进一步研究。

方法

对 2224 名女性进行细胞学和 HPV 基因型检测。采用多元逻辑回归和受试者工作特征曲线下面积(AUC)评估 HPV 基因型检测预测细胞学病变的可能性。

结果

479 名参与者的细胞学结果异常。共检出 688 例 HPV 感染,619 例 HR-HPV 感染,112 例 LR-HPV 感染。在这些患者中,HPV-52 是最常见的类型,HPV 阳性女性发生宫颈病变的风险相对较高。HPV-16、31、33 和 58 在 HSIL 患者中感染率较高,病变程度较高。该预测模型基于年龄和 HPV 特定基因型建立,对细胞学异常的 AUC 为 0.73,对 HSIL 及以上病变的 AUC 为 0.82。

结论

HPV-16、31、33 和 58 感染是宫颈病变的显著危险因素。联合 HPV 基因型检测可有效预测细胞学异常。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7372/8383360/f0430c92c05e/12885_2021_8703_Fig1_HTML.jpg

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