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Multi-platform molecular profiling of a large cohort of glioblastomas reveals potential therapeutic strategies
Journal article

Multi-platform molecular profiling of a large cohort of glioblastomas reveals potential therapeutic strategies

Joanne Xiu, David Piccioni, Tiffany Juarez, Sandeep C Pingle, Jethro Hu, Jeremy Rudnick, Karen Fink, David B Spetzler, Todd Maney, Anatole Ghazalpour, …
Oncotarget, Vol.7(16), pp.21556-21569
04/19/2016
PMID: 26933808

Abstract

Adult Age Factors Aged Aged, 80 and over Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Brain Neoplasms - drug therapy Brain Neoplasms - genetics Brain Neoplasms - metabolism DNA Methylation Gene Amplification Glioblastoma - drug therapy Glioblastoma - genetics Glioblastoma - metabolism Humans Middle Aged Mutation Prognosis Promoter Regions, Genetic - genetics Survival Analysis Tumor Suppressor Proteins - genetics Tumor Suppressor Proteins - metabolism Young Adult
Glioblastomas (GBM) are the most aggressive and prevalent form of gliomas with abysmal prognosis and limited treatment options. We analyzed clinically relevant molecular aberrations suggestive of response to therapies in 1035 GBM tumors. Our analysis revealed mutations in 39 genes of 48 tested. IHC revealed expression of PD-L1 in 19% and PD-1 in 46%. MGMT-methylation was seen in 43%, EGFRvIII in 19% and 1p19q co-deletion in 2%. TP53 mutation was associated with concurrent mutations, while IDH1 mutation was associated with MGMT-methylation and TP53 mutation and was mutually exclusive of EGFRvIII mutation. Distinct biomarker profiles were seen in GBM compared with WHO grade III astrocytoma, suggesting different biology and potentially different treatment approaches. Analysis of 17 metachronous paired tumors showed frequent biomarker changes, including MGMT-methylation and EGFR aberrations, indicating the need for a re-biopsy for tumor profiling to direct subsequent therapy. MGMT-methylation, PR and TOPO1 appeared as significant prognostic markers in sub-cohorts of GBM defined by age. The current study represents the largest biomarker study on clinical GBM tumors using multiple technologies to detect gene mutation, amplification, protein expression and promoter methylation. These data will inform planning for future personalized biomarker-based clinical trials and identifying effective treatments based on tumor biomarkers.
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https://doi.org/10.18632/oncotarget.7722View
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