ArticleClinical epigenetics2016
Combined clinical and genetic testing algorithm for cervical cancer diagnosis.
Article in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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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
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Pooled it
- PAX1/SOX1 DNA Methylation Versus Cytology and HPV16/18 Genotyping for the Triage of High-Risk HPV-Positive Women in Cervical Cancer Screening: Retrospective Analysis of Archival Samples.BJOG : an international journal of obstetrics and gynaecology · 2025Trial
- PAX1 and ZNF582 Methylation as a Triage Strategy in Cytologic and hrHPV+ Scrapings in Both Chinese and Dutch Cohorts.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- DNA Methylation in Cervical Intraepithelial Neoplasia and Cervical Cancer: Triage and Management.Current topics in microbiology and immunology · 2026Review
- Efficacy of 5-aminolevulinic acid photodynamic therapy for the treatment of female lower reproductive tract intraepithelial lesions and its predictive biomarker: DNA methylation.Frontiers in medicine · 2026Article
- The role of PAX1 and JAM3 methylation in predicting the pathological upgrading of cervical intraepithelial neoplasia before conization.Scientific reports · 2025Article
- Triage performance of DNA methylation for women with high-risk human papillomavirus infection.The oncologist · 2025Article
- A novel methylation-detection panel for HPV associated high-grade squamous intraepithelial lesion and cervical cancer screening.Scientific reports · 2024Article
- ZNF671 methylation test in cervical scrapings for cervical intraepithelial neoplasia grade 3 and cervical cancer detection.Cell reports. Medicine · 2023Article
- PAX1 hypomethylation as a prognostic biomarker for radioresistance of cervical cancer.Clinical epigenetics · 2023Article
- ZNF582 overexpression restrains the progression of clear cell renal cell carcinoma by enhancing the binding of TJP2 and ERK2 and inhibiting ERK2 phosphorylation.Cell death & disease · 2023Article
- Clinical utility of HPV typing and quantification combined with PAX1/ZNF582 methylation detection in accurate cervical cancer screening.CytoJournal · 2023Article
- Methylation-mediated silencing ofFrontiers in oncology · 2023Article
- Article
- Triage by PAX1 and ZNF582 Methylation in Women With Cervical Intraepithelial Neoplasia Grade 3: A Multicenter Case-Control Study.Open forum infectious diseases · 2022Article
- Article
- Epigenetic approaches for cervical neoplasia screening (Review).Experimental and therapeutic medicine · 2021Review
- The use of host cell DNA methylation analysis in the detection and management of women with advanced cervical intraepithelial neoplasia: a review.BJOG : an international journal of obstetrics and gynaecology · 2021Review
- The application value of PAX1 and ZNF582 gene methylation in high grade intraepithelial lesion and cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
- The Value and Clinical Significance ofOncoTargets and therapy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOpportunistic screening in hospitals is widely used to effectively reduce the incidence rate of cervical cancer in China and other developing countries. This study aimed to identify clinical risk factor algorithms that combine gynecologic examination and molecular testing (paired box gene 1 (PAX1) or zinc finger protein 582 (ZNF582) methylation or HPV16/18) results to improve diagnostic accuracy.
methodsThe delta Cp of methylated PAX1 and ZNF582 was obtained via quantitative methylation-specific PCR in a training set (57 CIN2- and 43 cervical intraepithelial neoplasia ≥grade 3 (CIN3+) women), and the individual and combination gene sensitivities and specificities were determined. The detection accuracy of three algorithms combining gynecologic findings and genetic test results was then compared in a randomized case-control study comprising 449 women referred for colposcopic examination by gynecologists in the outpatient department of Xiangya Hospital between November 2011 and March 2013.
resultsSignificant association was observed between CIN3+ and methylated PAX1 or ZNF582 in combination with HPV16/18 (OR:15.52, 95 % CI:7.73-31.18). The sensitivities and specificities of methylated PAX1 or ZNF582 combined with HPV16/18 for CIN3+ women were 89.2 and 76.0 %, or 85.4 and 80.1 %, respectively. Of the three algorithms applied to cohort data and validated in the study, two indicated 100 % sensitivity in detecting cervical cancer and a low rate of referrals for colposcopy.
conclusionsThese algorithms might contribute to precise and objective cervical cancer diagnostics in the outpatient departments of hospitals in countries with high mortality and low screening rates or areas with uneven resource distribution.
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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.