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

Journal: Genome medicine
PMID: 29268796

Abstract

BACKGROUND: Despite 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.

Authors

  • Martin Widschwendter
    Department 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.
  • Michal Zikan
    Gynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University, Prague, Czech Republic.
  • Benjamin Wahl
    GATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
  • Harri Lempiäinen
    Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
  • Tobias Paprotka
    GATC Biotech AG, Jakob-Stadler-Platz 7, 78467, Konstanz, Germany.
  • Iona Evans
    Department 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 Jones
    Department 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 Ghazali
    Department 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 Reisel
    Department 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 Eichner
    Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
  • Tamas Rujan
    Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.
  • Zhen Yang
    CAS Max-Planck Partner Institute for Computational Biology, Shanghai Institute of Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
  • Andrew E Teschendorff
    Department 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 Ryan
    Department 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 Cibula
    Gynaecologic Oncology Center, Department of Obstetrics & Gynaecology, First Faculty of Medicine & General University Hospital, Charles University, Prague, Czech Republic.
  • Usha Menon
    Department 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 Wittenberger
    Genedata AG, Margarethenstrasse 38, 4053, Basel, Switzerland.

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