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Transcriptional Characterization of Glioma Neural Stem Cells Diva ...

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1.3 Primary and Secondary Glioblastomas Introduction<br />

<strong>of</strong> the most specific ones [154]. GFAP is universally expressed in astrocytic<br />

and ependymal tumours and OLIG2 is an oligodendroglial as well as stem cell<br />

marker expressed at high levels only in diffuse gliomas [281,338,435]. Recently<br />

investigated novel markers are stem and progenitor cell markers. Intensive<br />

research efforts are attempting to uncover agents that may target subpopula-<br />

tions <strong>of</strong> these cells with high tumourigenic potential and increased resistance<br />

to current therapies [154]. The cell surface marker CD133 and other mark-<br />

ers <strong>of</strong> stem cells, such as Nestin, Musashi and Sex determining region y-box<br />

2 (SOX2), have been shown to negatively correlate with outcome parame-<br />

ters [304].<br />

In an attempt to optimise the association <strong>of</strong> different prognoses with differ-<br />

ent therapies, several studies have focused their efforts in building an accurate<br />

classification system [154,383,390]. Elucidating patterns between prognosis<br />

and specific genetic lesions would allow therapies to tailor to the group <strong>of</strong><br />

patients who will most likely respond to them, an approach also known as<br />

"stratification <strong>of</strong> treatment" [383]. Genome-wide pr<strong>of</strong>iling studies such as the<br />

ones conducted by Freije et al in 2004 [148] Phillips et al in 2006 [390] and<br />

Verhaak et al in 2010 [511], have tried to categorise glioblastoma in molecular<br />

subclasses that could be predictive <strong>of</strong> survival outcomes. Thus, microarray<br />

gene expression data for hundreds <strong>of</strong> high-grade glioma samples was analysed<br />

and has shown that most tumours can be classified into a small number <strong>of</strong><br />

subtypes correlated with survival and response to therapy.<br />

The largest such study to date [511] built a dataset from 200 GBM and two<br />

normal brain samples that was used to identify four glioblastoma subtypes<br />

named Proneural, <strong>Neural</strong>, Classical and Mesenchymal, each characterised by<br />

a distinct gene expression signature encompassing a set <strong>of</strong> 210 up-regulated<br />

genes. An independent set <strong>of</strong> 260 GBM expression pr<strong>of</strong>iles was compiled from<br />

the public domain, including TCGA and Phillips et al [390], that successfully<br />

assessed subtype reproducibility. The Proneural subtype was associated with<br />

younger age, Platelet-derived growth factor receptor α (PDGFRA) abnormal-<br />

ities, and IDH1 and TP53 mutations, all <strong>of</strong> which have previously been as-<br />

sociated with secondary GBM and correlate with longer survival times [326].<br />

In confirmation <strong>of</strong> this pattern, the Proneural subtype previously identified<br />

in the study by Phillips et al also included most grade III gliomas and 75%<br />

<strong>of</strong> lower grade gliomas [390]. The Classical subtype was strongly associated<br />

with the astrocytic signature and contained all common genomic aberrations<br />

19

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