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. 2020 Oct 29;13:813–821. doi: 10.2147/JIR.S278911

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© 2020 Chen et al.

This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).

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The physical status of HPV infection in HPV16-positive cervical lesions and ROC curve analysis of the HPV-E2/E6 and POU5F1B for identifying CIN2+ disease. (A) The physical status of HPV infection in HPV16-positive cervical lesions (normal, CIN1, CIN2/3, and SCC). A linear association was found between the status of HPV integration and degrees of cervical lesions. (B) Cut-off, the optimal of HPV-E2/E6 and POU5F1B used to predict CIN2+ calculated according to the ROC curve.

Abbreviations: CIN, cervical intraepithelial neoplasia; NILM, negative for intraepithelial lesion or malignancy; CC, cervical cancer; AUC, the area under the ROC curve; ROC, receiver operator characteristic.