Fig. 1

The establishment and verification of CerMe detection. A Flowchart of CerMe detection. CIN, cervical intraepithelial neoplasia; CIN1 − , including normal and CIN1; CIN2 + , including CIN2, CIN3, and cancer; HPV, human papillomavirus; hrHPV, high-risk human papillomavirus; NPV, negative predictive value; PPV, positive predictive value; QC, quality control. B CerMe values converted from the methylation level of PCDHGB7 in the CIN1 − (n = 1960) and CIN2 + (n = 156) groups of the training set were shown in the scatter dot plot. The higher CerMe value corresponded to higher methylation status. C ROC curve and the associated AUC value of the CerMe detection in the training set are illustrated. D CerMe values of the CIN1 − (n = 1050) and CIN2 + (n = 85) groups in the validation set. E ROC curve and the associated AUC value of the CerMe detection in the validation set. F The specificity, sensitivity, and accuracy of cytology and CerMe detection in the validation set. In the scatter dot plot, the error bar represents mean ± SD. P values were calculated using the two-tailed unpaired parametric test by the GraphPad Prism 9 software. ****P < 0.0001