ArticleJournal of translational medicine2025
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.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Analysis of DNA methylation markers for diagnosing cervical precancer and cancer: A single-center cross-sectional study.Oncology letters · 2026Article
- Diagnostic Accuracy of DNA Methylation Markers for Detecting Cervical Precancer and Cervical Cancer: A Systematic Review and Meta-analysis.Archives of academic emergency medicine · 2026Review
- Comparative performance of hrHPV testing and PAX1/ZNF671 methylation in triaging women with abnormal cytology: a study of paired urine, vaginal and cervical scrape samples.Frontiers in oncology · 2026Article
- Integrating Biomarkers into Cervical Cancer Screening-Advances in Diagnosis and Risk Prediction: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
backgroundOptimal 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.
methodsEighteen 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.
resultsTwo 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
conclusionsTwo 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.