Evidence map›Paper›PMID 29268762›Full record

Trial reportGenome medicine2017

Methylation patterns in serum DNA for early identification of disseminated breast cancer.

Martin Widschwendter, Iona Evans, Allison Jones, Shohreh Ghazali, Daniel Reisel, Andy Ryan, Aleksandra Gentry-Maharaj, Michal Zikan, David Cibula, Johannes Eichner and 9 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

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  10. Epigenetics · 2024
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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

19 authors.

Martin WidschwendterDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, 74 Huntley Street, London, WC1E 6AU, UK. M.Widschwendter@ucl.ac.uk.ORCID 0000-0002-7778-8380
Iona EvansDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, 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, 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, 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, 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, 74 Huntley Street, London, WC1E 6AU, UK.
Aleksandra Gentry-MaharajDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, 74 Huntley Street, London, WC1E 6AU, UK.
Michal ZikanGynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University Prague, Prague, Czech Republic.
David CibulaGynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University Prague, Prague, Czech Republic.
Johannes EichnerGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
Marianna Alunni-FabbroniDepartment of Gynaecology and Obstetrics, Klinikum Innenstadt, Ludwig-Maximilians Universitaet Muenchen, Maistrasse 11, 80337, Munich, Germany.
Julian KochDepartment of Gynaecology and Obstetrics, Klinikum Innenstadt, Ludwig-Maximilians Universitaet Muenchen, Maistrasse 11, 80337, Munich, Germany.
Wolfgang J JanniDepartment of Gynaecology and Obstetrics, University Hospital Ulm, Prittwitzstrasse 43, 89075, Ulm, Germany.
Tobias PaprotkaGATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
Timo WittenbergerGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
Usha MenonDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, Medical School Building, 74 Huntley Street, London, WC1E 6AU, UK.
Benjamin WahlGATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
Brigitte RackDepartment of Gynaecology and Obstetrics, Klinikum Innenstadt, Ludwig-Maximilians Universitaet Muenchen, Maistrasse 11, 80337, Munich, Germany.
Harri LempiäinenGenedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.

Funding

Medical Research Council G0801228Medical Research Council G9901012
6 · The paper itself

Abstract

backgroundMonitoring treatment and early detection of fatal breast cancer (BC) remains a major unmet need. Aberrant circulating DNA methylation (DNAme) patterns are likely to provide a highly specific cancer signal. We hypothesized that cell-free DNAme markers could indicate disseminated breast cancer, even in the presence of substantial quantities of background DNA.

methodsWe used reduced representation bisulfite sequencing (RRBS) of 31 tissues and established serum assays based on ultra-high coverage bisulfite sequencing in two independent prospective serum sets (n = 110). The clinical use of one specific region, EFC#93, was validated in 419 patients (in both pre- and post-adjuvant chemotherapy samples) from SUCCESS (Simultaneous Study of Gemcitabine-Docetaxel Combination adjuvant treatment, as well as Extended Bisphosphonate and Surveillance-Trial) and 925 women (pre-diagnosis) from the UKCTOCS (UK Collaborative Trial of Ovarian Cancer Screening) population cohort, with overall survival and occurrence of incident breast cancer (which will or will not lead to death), respectively, as primary endpoints.

resultsA total of 18 BC specific DNAme patterns were discovered in tissue, of which the top six were further tested in serum. The best candidate, EFC#93, was validated for clinical use. EFC#93 was an independent poor prognostic marker in pre-chemotherapy samples (hazard ratio [HR] for death = 7.689) and superior to circulating tumor cells (CTCs) (HR for death = 5.681). More than 70% of patients with both CTCs and EFC#93 serum DNAme positivity in their pre-chemotherapy samples relapsed within five years. EFC#93-positive disseminated disease in post-chemotherapy samples seems to respond to anti-hormonal treatment. The presence of EFC#93 serum DNAme identified 42.9% and 25% of women who were diagnosed with a fatal BC within 3-6 and 6-12 months of sample donation, respectively, with a specificity of 88%. The sensitivity with respect to detecting fatal BC was ~ 4-fold higher compared to non-fatal BC.

conclusionsDetection of EFC#93 serum DNAme patterns offers a new tool for early diagnosis and management of disseminated breast cancers. Clinical trials are required to assess whether EFC#93-positive women in the absence of radiological detectable breast cancers will benefit from anti-hormonal treatment before the breast lesions become clinically apparent.

Indexed as

DNA MethylationAdultAgedBiomarkers, TumorBreast NeoplasmsCell-Free Nucleic AcidsFemaleHumansMiddle AgedNeoplastic Cells, CirculatingBiomarkers, TumorCell-Free Nucleic AcidsBreast cancerCell-free DNADNA methylationEarly diagnosisPersonalized treatmentSerum DNA

Identifiers

PMID29268762
PMCPMC5740791

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Registered trials

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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.