IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v435y2005i7046d10.1038_nature03672.html
   My bibliography  Save this article

Global histone modification patterns predict risk of prostate cancer recurrence

Author

Listed:
  • David B. Seligson

    (University of California)

  • Steve Horvath

    (University of California
    University of California)

  • Tao Shi

    (University of California
    University of California)

  • Hong Yu

    (University of California)

  • Sheila Tze

    (University of California)

  • Michael Grunstein

    (University of California)

  • Siavash K. Kurdistani

    (University of California)

Abstract

Histones in cancer Reports of altered epigenetic histone modifications in cancer cells have focused on individual gene promoters and so far none of these changes has been related to clinical outcome. Now aberrations of ‘global’ histone modification have been observed in prostate tumour patients. These do relate to clinical outcome, and suggest a useful means of prognosis.

Suggested Citation

  • David B. Seligson & Steve Horvath & Tao Shi & Hong Yu & Sheila Tze & Michael Grunstein & Siavash K. Kurdistani, 2005. "Global histone modification patterns predict risk of prostate cancer recurrence," Nature, Nature, vol. 435(7046), pages 1262-1266, June.
  • Handle: RePEc:nat:nature:v:435:y:2005:i:7046:d:10.1038_nature03672
    DOI: 10.1038/nature03672
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature03672
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature03672?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Claudia Bühnemann & Simon Li & Haiyue Yu & Harriet Branford White & Karl L Schäfer & Antonio Llombart-Bosch & Isidro Machado & Piero Picci & Pancras C W Hogendoorn & Nicholas A Athanasou & J Alison No, 2014. "Quantification of the Heterogeneity of Prognostic Cellular Biomarkers in Ewing Sarcoma Using Automated Image and Random Survival Forest Analysis," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-14, 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:nature:v:435:y:2005:i:7046:d:10.1038_nature03672. 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.