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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.
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Abstract

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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