ArticleGenome medicine2017
The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer.
Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06367049 (Methylation-specific PCR Test for Early Screening and Early Diagnosis of Nasopharyngeal Carcinoma), which is not on this map. Cited by 97 papers, 2 of them syntheses 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.
Methylation-specific PCR Test for Early Screening and Early Diagnosis of Nasopharyngeal Carcinoma
Who cites it
97 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Early diagnosis of ovarian cancer based on methylation profiles in peripheral blood cell-free DNA: a systematic review.Clinical epigenetics · 2023Pooled it
- OPCML Methylation and the Risk of Ovarian Cancer: A Meta and Bioinformatics Analysis.Frontiers in cell and developmental biology · 2021Pooled it
- Epigenetic mechanisms and clinical translation in ovarian cancer: from molecular pathways to precision therapy.Bioscience reports · 2026Review
- Evaluation of NID2 and CDO1 methylation for ovarian cancer screening.Oncology letters · 2026Article
- Epi-liquidomics: redefining cancer diagnostics through epigenetic profiling.Frontiers in epigenetics and epigenomics · 2026Review
- Circulating methylated promoters of HK2 and EGFR as biomarkers in the early detection of cancer.Frontiers in oncology · 2026Article
- Early Detection and Prevention of Ovarian Cancer.Cancers · 2025Review
- Advancements in DNA methylation technologies and their application in cancer diagnosis.Epigenetics · 2025Review
- Mendelian randomization analysis of CpG methylation and immune phenotypes in epithelial ovarian cancer outcomes.Epigenetics · 2025Article
- Epigenetics in Ovarian Cancer: A Review of Current Knowledge and Future Perspectives.Biomedicines · 2025Review
- Review
- Article
- ctDNA as an Objective Marker for Postoperative Residual Disease in Primary Advanced High-Grade Serous Ovarian Cancer.Cancers · 2025Article
- Article
- Global DNA methylomes reveal oncogenic-associated 5-hydroxylmethylated cytosine (5hmC) signatures in the cell-free DNA of cancer patients.medRxiv : the preprint server for health sciences · 2025Article
- Liquid biopsy in cancer diagnosis and prognosis: a paradigm shift in precision oncology.Frontiers in molecular biosciences · 2025Review
- The role of circulating tumor DNA in gynecological cancer management.Frontiers in oncology · 2025Review
- Clinical utility of various liquid biopsy samples for the early detection of ovarian cancer: a comprehensive review.Frontiers in oncology · 2025Review
- Evaluation of a multimodal ctDNA-based assay for detection of aggressive cancers lacking standard screening tests.Future oncology (London, England) · 2025Article
- The Role of Circulating Tumor DNA in Ovarian Cancer.Cancers · 2024Review
37 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
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17 authors.
Funding
Abstract
backgroundDespite a myriad of attempts in the last three decades to diagnose ovarian cancer (OC) earlier, this clinical aim still remains a significant challenge. Aberrant methylation patterns of linked CpGs analyzed in DNA fragments shed by cancers into the bloodstream (i.e. cell-free DNA) can provide highly specific signals indicating cancer presence.
methodsWe analyzed 699 cancerous and non-cancerous tissues using a methylation array or reduced representation bisulfite sequencing to discover the most specific OC methylation patterns. A three-DNA-methylation-serum-marker panel was developed using targeted ultra-high coverage bisulfite sequencing in 151 women and validated in 250 women with various conditions, particularly in those associated with high CA125 levels (endometriosis and other benign pelvic masses), serial samples from 25 patients undergoing neoadjuvant chemotherapy, and a nested case control study of 172 UKCTOCS control arm participants which included serum samples up to two years before OC diagnosis.
resultsThe cell-free DNA amount and average fragment size in the serum samples was up to ten times higher than average published values (based on samples that were immediately processed) due to leakage of DNA from white blood cells owing to delayed time to serum separation. Despite this, the marker panel discriminated high grade serous OC patients from healthy women or patients with a benign pelvic mass with specificity/sensitivity of 90.7% (95% confidence interval [CI] = 84.3-94.8%) and 41.4% (95% CI = 24.1-60.9%), respectively. Levels of all three markers plummeted after exposure to chemotherapy and correctly identified 78% and 86% responders and non-responders (Fisher's exact test, p = 0.04), respectively, which was superior to a CA125 cut-off of 35 IU/mL (20% and 75%). 57.9% (95% CI 34.0-78.9%) of women who developed OC within two years of sample collection were identified with a specificity of 88.1% (95% CI = 77.3-94.3%). Sensitivity and specificity improved further when specifically analyzing CA125 negative samples only (63.6% and 87.5%, respectively).
conclusionsOur data suggest that DNA methylation patterns in cell-free DNA have the potential to detect a proportion of OCs up to two years in advance of diagnosis and may potentially guide personalized treatment. The prospective use of novel collection vials, which stabilize blood cells and reduce background DNA contamination in serum/plasma samples, will facilitate clinical implementation of liquid biopsy analyses.
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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.