IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-18819-5.html
   My bibliography  Save this article

Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome

Author

Listed:
  • Robert L. Hollis

    (University of Edinburgh)

  • John P. Thomson

    (University of Edinburgh)

  • Barbara Stanley

    (University of Edinburgh)

  • Michael Churchman

    (University of Edinburgh)

  • Alison M. Meynert

    (University of Edinburgh)

  • Tzyvia Rye

    (University of Edinburgh)

  • Clare Bartos

    (University of Edinburgh)

  • Yasushi Iida

    (University of Edinburgh
    The Jikei University School of Medicine)

  • Ian Croy

    (University of Edinburgh)

  • Melanie Mackean

    (Western General Hospital)

  • Fiona Nussey

    (Western General Hospital)

  • Aikou Okamoto

    (The Jikei University School of Medicine)

  • Colin A. Semple

    (University of Edinburgh)

  • Charlie Gourley

    (University of Edinburgh)

  • C. Simon Herrington

    (University of Edinburgh)

Abstract

Endometrioid ovarian carcinoma (EnOC) demonstrates substantial clinical and molecular heterogeneity. Here, we report whole exome sequencing of 112 EnOC cases following rigorous pathological assessment. We detect a high frequency of mutation in CTNNB1 (43%), PIK3CA (43%), ARID1A (36%), PTEN (29%), KRAS (26%), TP53 (26%) and SOX8 (19%), a recurrently-mutated gene previously unreported in EnOC. POLE and mismatch repair protein-encoding genes were mutated at lower frequency (6%, 18%) with significant co-occurrence. A molecular taxonomy is constructed, identifying clinically distinct EnOC subtypes: cases with TP53 mutation demonstrate greater genomic complexity, are commonly FIGO stage III/IV at diagnosis (48%), are frequently incompletely debulked (44%) and demonstrate inferior survival; conversely, cases with CTNNB1 mutation, which is mutually exclusive with TP53 mutation, demonstrate low genomic complexity and excellent clinical outcome, and are predominantly stage I/II at diagnosis (89%) and completely resected (87%). Moreover, we identify the WNT, MAPK/RAS and PI3K pathways as good candidate targets for molecular therapeutics in EnOC.

Suggested Citation

  • Robert L. Hollis & John P. Thomson & Barbara Stanley & Michael Churchman & Alison M. Meynert & Tzyvia Rye & Clare Bartos & Yasushi Iida & Ian Croy & Melanie Mackean & Fiona Nussey & Aikou Okamoto & Co, 2020. "Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18819-5
    DOI: 10.1038/s41467-020-18819-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-18819-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-18819-5?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:11:y:2020:i:1:d:10.1038_s41467-020-18819-5. 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.