Novel triple-target panels utilizing methylation-sensitive restriction enzyme-based quantitative PCR for detecting advanced cervical precancers and cancers among high-risk HPV-positive women

Shimin Chen · 2025-08-01

Optimal triage option for high-risk HPV-positive (hrHPV) women remains uncertain. We aimed to utilize methylation-sensitive restriction enzyme-based quantitative PCR (MSRE-qPCR) technique and develop triple-target human gene methylation panels to improve detection of advanced cervical precancers and cancers (CIN3 +) among hrHPV women. Eighteen candidate genes were detected by MSRE-qPCR in cervical samples from hrHPV women. All possible triple-target panels from these genes were generated by logistic regression models with repeated ten-fold cross-validation on a training set of 1223 women (180 CIN3 +; 1043 < CIN3). Panels with the top two AUCs for CIN3 + on a validation set of 937 women (69 CIN3 +; 868 < CIN3) were ultimately selected for qPCR reconstruction, retesting, and retraining. Triage performance, screening efficiency and risk stratification of the selected panels were then compared with traditional triage strategies (cytology [ASCUS as the threshold, atypical squamous cells of undetermined significance], HPV16/18 genotyping, HPV16/18 genotyping combined with cytology [ASCUS]) within the validation set. Two panels were finally identified and validated for CIN3 + detection. Panel 1 includes JAM3, PCDHGB7, and SORCS1; while Panel 2 consists of PAX1, ZNF671, and ASCL1. Compared to traditional triage strategies, both panels demonstrated superior AUCs (Panel 1: 0.799; Panel 2: 0.790; Cytology: 0.532; HPV16/18 genotyping: 0.589; HPV16/18 + Cytology: 0.515; all P Two triple-target human gene methylation panels were successfully developed, each integrated into a single MSRE-qPCR system for one-tube detection. Both panels outperformed current triage strategies, indicating their potential as alternatives, though external validation among diverse settings is needed before clinical application.
Funding

CAMS Innovation Fund for Medical Sciences

CIFMS

CAMS Innovation Fund for Medical Sciences

2021-I2M-1-004

Special Research Fund for Central Universities, Peking Union Medical College

3332023141