SynthesisMedicine2019
ZNF582 methylation as a potential biomarker to predict cervical intraepithelial neoplasia type III/worse: A meta-analysis of related studies in Chinese population.
Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
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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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Molecular Biomarkers of Radiosensitivity and Radioresistance in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- 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
- 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.Journal of translational medicine · 2025Article
- DNA methylation signatures of cervical pre-invasive and invasive disease: An epigenome-wide association study.International journal of cancer · 2025Article
- CREATE: cell-type-specific cis-regulatory element identification via discrete embedding.Nature communications · 2025Article
- Diagnostic Performance of Host and Viral DNA Methylation Analysis in the Identification of Anal Intraepithelial Neoplasia and Cancer: Systematic Review and Meta-Analysis.Healthcare (Basel, Switzerland) · 2024Review
- Exosomal transcript cargo and functional correlation with HNSCC patients' survival.BMC cancer · 2024Article
- Promising predictive molecular biomarkers for cervical cancer (Review).International journal of molecular medicine · 2024Review
- DNA methylation markers in esophageal cancer.Frontiers in genetics · 2024Review
- Identifying potential DNA methylation markers for the detection of esophageal cancer in plasma.Frontiers in genetics · 2023Article
- A Novel Plasma-Based Methylation Panel for Upper Gastrointestinal Cancer Early Detection.Cancers · 2022Article
- Cervical Cancer Prophylaxis-State-of-the-Art and Perspectives.Healthcare (Basel, Switzerland) · 2022Review
- Triage by PAX1 and ZNF582 Methylation in Women With Cervical Intraepithelial Neoplasia Grade 3: A Multicenter Case-Control Study.Open forum infectious diseases · 2022Article
- The Role of Zinc Finger Proteins in Various Oral Conditions.TheScientificWorldJournal · 2022Review
- Screening for cervical cancer: Choices & dilemmas.The Indian journal of medical research · 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 Value and Clinical Significance ofOncoTargets and therapy · 2021Article
- Current Status and Future Perspectives of Molecular Prevention Strategies for Cervical Cancers.Indian journal of surgical oncology · 2020Review
- Epigenetic IVD Tests for Personalized Precision Medicine in Cancer.Frontiers in genetics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDNA methylation markers have been assessed as potential biomarkers for early cervical cancer detection. Herein, we evaluated the diagnostic performance of zinc finger protein 582 (ZNF582) methylation for cervical cancer detection.
methodsEligible studies were systematically searched from the electronic databases. The quality of enrolled studies was evaluated using the second version of the check list for Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). The bivariate meta-analysis model was employed to plot the summary receiver operator characteristic (SROC) curve using Stata 14.0 software. Cochran's Q test and I statistics were applied to assess heterogeneity among studies. Publication bias was evaluated by the Deeks' funnel plot asymmetry test.
resultsSeven studies composed of 1749 patients were eventually included. The pooled sensitivity of ZNF582 methylation was estimated to be 0.71 [95% confidence interval (CI): 0.67-0.75] in differentiating patients with cervical intraepithelial neoplasia type III/worse (CIN3+), corresponding to a specificity of 0.81 (95% CI: 0.79-0.83) and area under the curve (AUC) of 0.85. Our stratified analysis suggested that sequential combined of HPV DNA and ZNF582 methylation test (AUC, sensitivity, and specificity of 0.876, 0.75, and 0.87, respectively) achieved higher diagnostic accuracy than single HPV DNA testing test (AUC, sensitivity and specificity of 0.669, 0.96, and 0.41, respectively).
conclusionsZNF582 methylation has a prospect to be an auxiliary biomarker for cervical cancer screening. A new strategy of co-testing HPV DNA and ZNF582 methylation test in cervical scrapings confers an improved diagnostic accuracy than single HPV DNA testing.
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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.