Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Modelling Therapy Resistance for the...
Journal article

Modelling Therapy Resistance for the Identification of Treatment-Refractory Cell Population(s) in Human Glioblastoma

Abstract

Despite aggressive multimodal therapy, human glioblastoma (hGBM), a highly malignant grade IV astrocytic tumour, remains incurable and inevitably relapses. Recent data has implicated intratumoral heterogeneity as the driver of therapy resistance and tumour relapse in hGBM. Thus models that capture the evolving hGBM biology in response to chemoradiotherapy will allow for the identification of cellular pathways that govern GBM therapy failure. In …

Authors

Qazi MA; Vora P; Venugopal C; Bakhshinyan D; Nixon A; McFarlane N; Subapanditha MK; Murty NK; Hallett RM; Moffat J

Journal

Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Vol. 43, No. S4, pp. s1–s1

Publisher

Cambridge University Press (CUP)

Publication Date

October 2016

DOI

10.1017/cjn.2016.330

ISSN

0317-1671