IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-18742-9.html
   My bibliography  Save this article

Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy

Author

Listed:
  • Ying Jing

    (The University of Texas Health Science Center at Houston McGovern Medical School)

  • Jin Liu

    (Shanghai Jiao Tong University)

  • Youqiong Ye

    (The University of Texas Health Science Center at Houston McGovern Medical School)

  • Lei Pan

    (Capital Medical University; Peking University Ninth School of Clinical Medicine)

  • Hui Deng

    (Capital Medical University; Peking University Ninth School of Clinical Medicine)

  • Yushu Wang

    (The University of Texas Health Science Center at Houston McGovern Medical School)

  • Yang Yang

    (The University of Texas MD Anderson Cancer Center)

  • Lixia Diao

    (The University of Texas MD Anderson Cancer Center)

  • Steven H. Lin

    (The University of Texas MD Anderson Cancer Center)

  • Gordon B. Mills

    (Oregon Health and Science University)

  • Guanglei Zhuang

    (Shanghai Jiao Tong University
    Shanghai Jiao Tong University)

  • Xinying Xue

    (Capital Medical University; Peking University Ninth School of Clinical Medicine)

  • Leng Han

    (The University of Texas Health Science Center at Houston McGovern Medical School
    The University of Texas Health Science Center at Houston)

Abstract

Immune-related adverse events (irAEs), caused by anti-PD-1/PD-L1 antibodies, can lead to fulminant and even fatal consequences and thus require early detection and aggressive management. However, a comprehensive approach to identify biomarkers of irAE is lacking. Here, we utilize a strategy that combines pharmacovigilance data and omics data, and evaluate associations between multi-omics factors and irAE reporting odds ratio across different cancer types. We identify a bivariate regression model of LCP1 and ADPGK that can accurately predict irAE. We further validate LCP1 and ADPGK as biomarkers in an independent patient-level cohort. Our approach provides a method for identifying potential biomarkers of irAE in cancer immunotherapy using both pharmacovigilance data and multi-omics data.

Suggested Citation

  • Ying Jing & Jin Liu & Youqiong Ye & Lei Pan & Hui Deng & Yushu Wang & Yang Yang & Lixia Diao & Steven H. Lin & Gordon B. Mills & Guanglei Zhuang & Xinying Xue & Leng Han, 2020. "Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18742-9
    DOI: 10.1038/s41467-020-18742-9
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-18742-9
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-020-18742-9?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_s41467-020-18742-9. 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.