Hostname: page-component-788cddb947-wgjn4 Total loading time: 0 Render date: 2024-10-15T06:43:24.593Z Has data issue: false hasContentIssue false
  • English
  • Français

A ten-microRNA signature for robust prediction of clinical outcome in glioblastoma

Published online by Cambridge University Press:  30 October 2014

J Hayes ,
H Thygesen ,
A Droop ,
M Boissinot ,
TA Hughes ,
D Westhead ,
S Short  and
SE Lawler
J Hayes
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
H Thygesen
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
A Droop
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
M Boissinot
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
TA Hughes
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
D Westhead
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
S Short
Affiliation:
Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
SE Lawler
Affiliation:
Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Scientific Oral Presentations 13 June 2014
Information
Canadian Journal of Neurological Sciences , Volume 41 , Issue s2: 16th Biennial Canadian Neuro-Oncology Meeting , October 2014 , pp. S4
Copyright
Copyright © The Canadian Journal of Neurological Sciences Inc. 2014