IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v8y2017i1d10.1038_s41467-017-01781-0.html
   My bibliography  Save this article

Decoding critical long non-coding RNA in ovarian cancer epithelial-to-mesenchymal transition

Author

Listed:
  • Ramkrishna Mitra

    (Sidney Kimmel Cancer Center, Thomas Jefferson University)

  • Xi Chen

    (Sidney Kimmel Cancer Center, Thomas Jefferson University)

  • Evan J. Greenawalt

    (Sidney Kimmel Cancer Center, Thomas Jefferson University)

  • Ujjwal Maulik

    (Jadavpur University)

  • Wei Jiang

    (Nanjing University of Aeronautics and Astronautics)

  • Zhongming Zhao

    (The University of Texas Health Science Center at Houston)

  • Christine M. Eischen

    (Sidney Kimmel Cancer Center, Thomas Jefferson University)

Abstract

Long non-coding RNA (lncRNA) are emerging as contributors to malignancies. Little is understood about the contribution of lncRNA to epithelial-to-mesenchymal transition (EMT), which correlates with metastasis. Ovarian cancer is usually diagnosed after metastasis. Here we report an integrated analysis of >700 ovarian cancer molecular profiles, including genomic data sets, from four patient cohorts identifying lncRNA DNM3OS, MEG3, and MIAT overexpression and their reproducible gene regulation in ovarian cancer EMT. Genome-wide mapping shows 73% of MEG3-regulated EMT-linked pathway genes contain MEG3 binding sites. DNM3OS overexpression, but not MEG3 or MIAT, significantly correlates to worse overall patient survival. DNM3OS knockdown results in altered EMT-linked genes/pathways, mesenchymal-to-epithelial transition, and reduced cell migration and invasion. Proteotranscriptomic characterization further supports the DNM3OS and ovarian cancer EMT connection. TWIST1 overexpression and DNM3OS amplification provides an explanation for increased DNM3OS levels. Therefore, our results elucidate lncRNA that regulate EMT and demonstrate DNM3OS specifically contributes to EMT in ovarian cancer.

Suggested Citation

  • Ramkrishna Mitra & Xi Chen & Evan J. Greenawalt & Ujjwal Maulik & Wei Jiang & Zhongming Zhao & Christine M. Eischen, 2017. "Decoding critical long non-coding RNA in ovarian cancer epithelial-to-mesenchymal transition," Nature Communications, Nature, vol. 8(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01781-0
    DOI: 10.1038/s41467-017-01781-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-01781-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-017-01781-0?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:8:y:2017:i:1:d:10.1038_s41467-017-01781-0. 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.