IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-021-26615-y.html
   My bibliography  Save this article

The DNA methylome of cervical cells can predict the presence of ovarian cancer

Author

Listed:
  • James E. Barrett

    (European Translational Oncology Prevention and Screening (EUTOPS) Institute
    Universität Innsbruck
    University College London)

  • Allison Jones

    (University College London)

  • Iona Evans

    (University College London)

  • Daniel Reisel

    (University College London)

  • Chiara Herzog

    (European Translational Oncology Prevention and Screening (EUTOPS) Institute
    Universität Innsbruck)

  • Kantaraja Chindera

    (University College London)

  • Mark Kristiansen

    (University College London)

  • Olivia C. Leavy

    (University of Leicester
    The London School of Hygiene and Tropical Medicine)

  • Ranjit Manchanda

    (Barts Health NHS Trust, Royal London Hospital
    Queen Mary University of London
    The London School of Hygiene and Tropical Medicine)

  • Line Bjørge

    (Haukeland University Hospital
    University of Bergen)

  • Michal Zikan

    (Hospital Na Bulovce
    General University Hospital in Prague, First Faculty of Medicine, Charles University)

  • David Cibula

    (General University Hospital in Prague, First Faculty of Medicine, Charles University)

  • Martin Widschwendter

    (European Translational Oncology Prevention and Screening (EUTOPS) Institute
    Universität Innsbruck
    University College London
    Karolinska Institutet)

Abstract

The vast majority of epithelial ovarian cancer arises from tissues that are embryologically derived from the Müllerian Duct. Here, we demonstrate that a DNA methylation signature in easy-to-access Müllerian Duct-derived cervical cells from women with and without ovarian cancer (i.e. referred to as the Women’s risk IDentification for Ovarian Cancer index or WID-OC-index) is capable of identifying women with an ovarian cancer in the absence of tumour DNA with an AUC of 0.76 and women with an endometrial cancer with an AUC of 0.81. This and the observation that the cervical cell WID-OC-index mimics the epigenetic program of those cells at risk of becoming cancerous in BRCA1/2 germline mutation carriers (i.e. mammary epithelium, fallopian tube fimbriae, prostate) further suggest that the epigenetic misprogramming of cervical cells is an indicator for cancer predisposition. This concept has the potential to advance the field of risk-stratified cancer screening and prevention.

Suggested Citation

  • James E. Barrett & Allison Jones & Iona Evans & Daniel Reisel & Chiara Herzog & Kantaraja Chindera & Mark Kristiansen & Olivia C. Leavy & Ranjit Manchanda & Line Bjørge & Michal Zikan & David Cibula &, 2022. "The DNA methylome of cervical cells can predict the presence of ovarian cancer," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-26615-y
    DOI: 10.1038/s41467-021-26615-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-26615-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-26615-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-26615-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.