Evidence map›Paper›PMID 29268796›Full record

ArticleGenome medicine2017

The potential of circulating tumor DNA methylation analysis for the early detection and management of ovarian cancer.

Martin Widschwendter, Michal Zikan, Benjamin Wahl, Harri Lempiäinen, Tobias Paprotka, Iona Evans, Allison Jones, Shohreh Ghazali, Daniel Reisel, Johannes Eichner and 7 more

Registry-linked trialAbstract readEvaluation Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 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.

NCT06367049 completednot on this mapstarted 2023, after this paper: background citation

Methylation-specific PCR Test for Early Screening and Early Diagnosis of Nasopharyngeal Carcinoma

TypeobservationalSponsorSun Yat-sen UniversityRan2023 to 2024Enrolled470ConditionsNasopharyngeal Carcinoma, Early Diagnosis of CancerArmsMethylation-specific PCR
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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37 more citing papers are in PubMed but not listed here.

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

17 authors.

Martin WidschwendterDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK. M.Widschwendter@ucl.ac.uk.ORCID 0000-0002-7778-8380
Michal ZikanGynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University, Prague, Czech Republic.
Benjamin WahlGATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
Harri LempiäinenGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
Tobias PaprotkaGATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
Iona EvansDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Allison JonesDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Shohreh GhazaliDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Daniel ReiselDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Johannes EichnerGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
Tamas RujanGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
Zhen YangCAS Max-Planck Partner Institute for Computational Biology, Shanghai Institute of Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Andrew E TeschendorffDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Andy RyanDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
David CibulaGynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University, Prague, Czech Republic.
Usha MenonDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, Room 340, 74 Huntley Street, London, WC1E 6AU, UK.
Timo WittenbergerGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.

Funding

Cancer Research UK C1479/A2884FP7 Ideas: European Research Council 305428Medical Research Council G0801228Medical Research Council G9901012National Institute for Health Research UCL/UCLH Biomedical Research Centre
6 · The paper itself

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.

Indexed as

DNA MethylationAdultAgedBiomarkers, TumorCell-Free Nucleic AcidsFemaleHumansMiddle AgedOvarian NeoplasmsRandom AllocationSequence Analysis, DNABiomarkers, TumorCell-Free Nucleic AcidsCell-free DNADNA methylationEarly diagnosisOvarian cancerPersonalized treatmentScreeningSerum DNA

Identifiers

PMID29268796
PMCPMC5740748

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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.