Evidence map›Paper›PMID 36788585›Full record

SynthesisClinical epigenetics2023

Early diagnosis of ovarian cancer based on methylation profiles in peripheral blood cell-free DNA: a systematic review.

Simone Karlsson Terp, Malene Pontoppidan Stoico, Karen Dybkær, Inge Søkilde Pedersen

2 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT07008664 recruitingnot on this mapstarted 2025, after this paper: background citation

Signature Development and Validation Protocol for an Epigenetic Assay in Diagnosing Lung Cancer

TypeobservationalSponsorUniversity of Maryland, BaltimoreRan2025 to 2032Enrolled750ConditionsLung Cancer, Lung Cancer Screening, Healthy Volunteers (HV), Unhealthy VolunteersArmsEpigenetic Signature Assay
NCT07528430 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Signature Development and Validation Protocol for an Epigenetic Assay in Diagnosing Pancreatic Cancer

TypeobservationalSponsorUniversity of Maryland, BaltimoreRan2026 to 2032Enrolled450ConditionsPancreatic Cancer, Advanced or Metastatic
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Simone Karlsson TerpDepartment of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark. s.terp@rn.dk.
Malene Pontoppidan StoicoDepartment of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark.
Karen DybkærDepartment of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark.
Inge Søkilde PedersenDepartment of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients diagnosed with epithelial ovarian cancer (OC) have a 5-year survival rate of 49%. For early-stage disease, the 5-year survival rate is above 90%. However, advanced-stage disease accounts for most cases as patients with early stages often are asymptomatic or present with unspecific symptoms, highlighting the need for diagnostic tools for early diagnosis. Liquid biopsy is a minimal invasive blood-based approach that utilizes circulating tumor DNA (ctDNA) shed from tumor cells for real-time detection of tumor genetics and epigenetics. Increased DNA methylation of promoter regions is an early event during tumorigenesis, and the methylation can be detected in ctDNA, accentuating the promise of methylated ctDNA as a biomarker for OC diagnosis. Many studies have investigated multiple methylation biomarkers in ctDNA from plasma or serum for discriminating OC patients from patients with benign diseases of the ovaries and/or healthy females. This systematic review summarizes and evaluates the performance of the currently investigated DNA methylation biomarkers in blood-derived ctDNA for early diagnosis of OC. PubMed's MEDLINE and Elsevier's Embase were systematically searched, and essential results such as methylation frequency of OC cases and controls, performance measures, as well as preanalytical factors were extracted. Overall, 29 studies met the inclusion criteria for this systematic review. The most common method used for methylation analysis was methylation-specific PCR, with half of the studies using plasma and the other half using serum. RASSF1A, BRCA1, and OPCML were the most investigated gene-specific methylation biomarkers, with OPCML having the best performance measures. Generally, methylation panels performed better than single gene-specific methylation biomarkers, with one methylation panel of 103,456 distinct regions and 1,116,720 CpGs having better performance in both training and validation cohorts. However, the evidence is still limited, and the promising methylation panels, as well as gene-specific methylation biomarkers highlighted in this review, need validation in large, prospective cohorts with early-stage asymptomatic OC patients to assess the true diagnostic value in a clinical setting.

Indexed as

Cell-Free Nucleic AcidsOvarian NeoplasmsBiomarkers, TumorCell Adhesion MoleculesDNA MethylationEarly Detection of CancerFemaleGPI-Linked ProteinsHumansProspective StudiesBiomarkers, TumorCell Adhesion MoleculesCell-Free Nucleic AcidsGPI-Linked ProteinsOPCML protein, humanBiomarkerCell-free DNACirculating tumor DNADiagnosisDNA methylationEpigeneticsLiquid biopsyOvarian cancerSystematic review

Identifiers

PMID36788585
PMCPMC9926627

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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.