IDEAS home Printed from https://ideas.repec.org/a/adm/journl/v7y2018i3p111-120.html
   My bibliography  Save this article

Prognostic Value of Hypoxia-Inducible Factor 1α in Solid Malignancies: A Meta-Analysis

Author

Listed:
  • Yuewen QI
  • Shuai Zhang
  • Zhe Sun
  • Xiaolu Fang
  • Hong Yu

Abstract

Numerous studies have reported the prognostic role of Hypoxia-Inducible Factor 1α（HIF-1α）and solid malignancies, but the data of different reports remains controversial. To accurately evaluate the prognostic value of HIF-1α expression in solid malignancies, a meta-analysis based on published studies was conducted. Relevant studies from 34 observational articles with 3828 patients were collected via PubMed, Embase. These studies were chosen for the meta-analysis based on requisite criteria and the quality was evaluated using the Newcastle Ottawa Quality Assessment Scale. Hazard ratios (HRs) and 95% confidence interval (CIs) were pooled from studies on overall survival (OS) and disease-free survival (DFS) to estimate the association. The pooled HRs (95% CIs) of HIF-1α for OS and DFS were 1.94 [1.74, 2.16] and 2.16 [1.71, 2.74], respectively. The overall data of the shown meta-analysis suggested that the high expression of HIF-1α is correlated with poor survival outcome in solid malignancies.

Suggested Citation

  • Yuewen QI & Shuai Zhang & Zhe Sun & Xiaolu Fang & Hong Yu, 2018. "Prognostic Value of Hypoxia-Inducible Factor 1α in Solid Malignancies: A Meta-Analysis," International Journal of Sciences, Office ijSciences, vol. 7(03), pages 111-120, March.
    • Handle: RePEc:adm:journl:v:7:y:2018:i:3:p:111-120
    DOI: 10.18483/ijSci.1616
    as

    Download full text from publisher

    File URL: https://www.ijsciences.com/pub/article/1616
    Download Restriction: no
    File URL: https://www.ijsciences.com/pub/pdf/V72018031616.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.18483/ijSci.1616?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
    ---><---

    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:adm:journl:v:7:y:2018:i:3:p:111-120. 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: Staff ijSciences (email available below). General contact details of provider: .

    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.