IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-06434-4.html
   My bibliography  Save this article

Integrated extracellular microRNA profiling for ovarian cancer screening

Author

Listed:
  • Akira Yokoi

    (National Cancer Center Research Institute
    Nagoya University Graduate School of Medicine)

  • Juntaro Matsuzaki

    (National Cancer Center Research Institute)

  • Yusuke Yamamoto

    (National Cancer Center Research Institute)

  • Yutaka Yoneoka

    (National Cancer Center Hospital)

  • Kenta Takahashi

    (National Cancer Center Hospital)

  • Hanako Shimizu

    (National Cancer Center Hospital)

  • Takashi Uehara

    (National Cancer Center Hospital)

  • Mitsuya Ishikawa

    (National Cancer Center Hospital)

  • Shun-ichi Ikeda

    (National Cancer Center Hospital)

  • Takumi Sonoda

    (National Cancer Center Research Institute)

  • Junpei Kawauchi

    (New Frontiers Research Institute, Toray Industries)

  • Satoko Takizawa

    (New Frontiers Research Institute, Toray Industries)

  • Yoshiaki Aoki

    (Dynacom Co., Ltd.)

  • Shumpei Niida

    (National Center for Geriatrics and Gerontology)

  • Hiromi Sakamoto

    (National Cancer Center Research Institute)

  • Ken Kato

    (National Cancer Center Hospital)

  • Tomoyasu Kato

    (National Cancer Center Hospital)

  • Takahiro Ochiya

    (National Cancer Center Research Institute)

Abstract

A major obstacle to improving prognoses in ovarian cancer is the lack of effective screening methods for early detection. Circulating microRNAs (miRNAs) have been recognized as promising biomarkers that could lead to clinical applications. Here, to develop an optimal detection method, we use microarrays to obtain comprehensive miRNA profiles from 4046 serum samples, including 428 patients with ovarian tumors. A diagnostic model based on expression levels of ten miRNAs is constructed in the discovery set. Validation in an independent cohort reveals that the model is very accurate (sensitivity, 0.99; specificity, 1.00), and the diagnostic accuracy is maintained even in early-stage ovarian cancers. Furthermore, we construct two additional models, each using 9–10 serum miRNAs, aimed at discriminating ovarian cancers from the other types of solid tumors or benign ovarian tumors. Our findings provide robust evidence that the serum miRNA profile represents a promising diagnostic biomarker for ovarian cancer.

Suggested Citation

  • Akira Yokoi & Juntaro Matsuzaki & Yusuke Yamamoto & Yutaka Yoneoka & Kenta Takahashi & Hanako Shimizu & Takashi Uehara & Mitsuya Ishikawa & Shun-ichi Ikeda & Takumi Sonoda & Junpei Kawauchi & Satoko T, 2018. "Integrated extracellular microRNA profiling for ovarian cancer screening," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06434-4
    DOI: 10.1038/s41467-018-06434-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-06434-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-018-06434-4?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Irfan, 2018. "A Mini Review on Some Latest Break Throughs on Molecular Intervention for Human Diseases," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 11(1), pages 8307-8309, November.
    2. Joanna Lopacinska-Jørgensen & Patrick H D Petersen & Douglas V N P Oliveira & Claus K Høgdall & Estrid V Høgdall, 2023. "Strategies for data normalization and missing data imputation and consequences for potential diagnostic microRNA biomarkers in epithelial ovarian cancer," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-18, May.
    3. Natsuko Satomi-Tsushita & Akihiko Shimomura & Juntaro Matsuzaki & Yusuke Yamamoto & Junpei Kawauchi & Satoko Takizawa & Yoshiaki Aoki & Hiromi Sakamoto & Ken Kato & Chikako Shimizu & Takahiro Ochiya &, 2019. "Serum microRNA-based prediction of responsiveness to eribulin in metastatic breast cancer," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-12, September.

    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:9:y:2018:i:1:d:10.1038_s41467-018-06434-4. 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.