IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0081905.html
   My bibliography  Save this article

SAMSN1 Is Highly Expressed and Associated with a Poor Survival in Glioblastoma Multiforme

Author

Listed:
  • Yong Yan
  • Lei Zhang
  • Tao Xu
  • Jinxu Zhou
  • Rong Qin
  • Chao Chen
  • Yongxiang Zou
  • Da Fu
  • Guohan Hu
  • Juxiang Chen
  • Yicheng Lu

Abstract

Objectives: To study the expression pattern and prognostic significance of SAMSN1 in glioma. Methods: Affymetrix and Arrystar gene microarray data in the setting of glioma was analyzed to preliminarily study the expression pattern of SAMSN1 in glioma tissues, and Hieratical clustering of gene microarray data was performed to filter out genes that have prognostic value in malignant glioma. Survival analysis by Kaplan-Meier estimates stratified by SAMSN1 expression was then made based on the data of more than 500 GBM cases provided by The Cancer Genome Atlas (TCGA) project. At last, we detected the expression of SAMSN1 in large numbers of glioma and normal brain tissue samples using Tissue Microarray (TMA). Survival analysis by Kaplan-Meier estimates in each grade of glioma was stratified by SAMSN1 expression. Multivariate survival analysis was made by Cox proportional hazards regression models in corresponding groups of glioma. Results: With the expression data of SAMSN1 and 68 other genes, high-grade glioma could be classified into two groups with clearly different prognoses. Gene and large sample tissue microarrays showed high expression of SAMSN1 in glioma particularly in GBM. Survival analysis based on the TCGA GBM data matrix and TMA multi-grade glioma dataset found that SAMSN1 expression was closely related to the prognosis of GBM, either PFS or OS (P

Suggested Citation

  • Yong Yan & Lei Zhang & Tao Xu & Jinxu Zhou & Rong Qin & Chao Chen & Yongxiang Zou & Da Fu & Guohan Hu & Juxiang Chen & Yicheng Lu, 2013. "SAMSN1 Is Highly Expressed and Associated with a Poor Survival in Glioblastoma Multiforme," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    • Handle: RePEc:plo:pone00:0081905
    DOI: 10.1371/journal.pone.0081905
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0081905
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0081905&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0081905?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:plo:pone00:0081905. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.