Purpose: Oncogenic fusions consisting of fibroblast growth factor receptor (FGFR) and TACC are present in a subgroup of glioblastoma (GBM) and other human cancers and have been proposed as new therapeutic targets. We analyzed frequency and molecular features of FGFR–TACC fusions and explored the therapeutic efficacy of inhibiting FGFR kinase in GBM and grade II and III glioma. Experimental Design: Overall, 795 gliomas (584 GBM, 85 grades II and III with wild-type and 126 with IDH1/2 mutation) were screened for FGFR–TACC breakpoints and associated molecular profile. We also analyzed expression of the FGFR3 and TACC3 components of the fusions. The effects of the specific FGFR inhibitor JNJ-42756493 for FGFR3–TACC3–positive glioma were determined in preclinical experiments. Two patients with advanced FGFR3–TACC3–positive GBM received JNJ-42756493 and were assessed for therapeutic response. Results: Three of 85 IDH1/2 wild-type (3.5%) but none of 126 IDH1/2-mutant grade II and III gliomas harbored FGFR3–TACC3 fusions. FGFR–TACC rearrangements were present in 17 of 584 GBM (2.9%). FGFR3–TACC3 fusions were associated with strong and homogeneous FGFR3 immunostaining. They are mutually exclusive with IDH1/2 mutations and EGFR amplification, whereas they co-occur with CDK4 amplification. JNJ-42756493 inhibited growth of glioma cells harboring FGFR3–TACC3 in vitro and in vivo. The two patients with FGFR3–TACC3 rearrangements who received JNJ-42756493 manifested clinical improvement with stable disease and minor response, respectively. Conclusions: RT-PCR sequencing is a sensitive and specific method to identify FGFR–TACC–positive patients. FGFR3–TACC3 fusions are associated with uniform intratumor expression of the fusion protein. The clinical response observed in the FGFR3–TACC3–positive patients treated with an FGFR inhibitor supports clinical studies of FGFR inhibition in FGFR–TACC–positive patients. Clin Cancer Res; 21(14); 3307–17. ©2015 AACR. See related commentary by Ahluwalia and Rich, p. 3105

The role of telomerase reverse transcriptase (TERT) in gliomagenesis has been recently further strengthened by the frequent occurrence of TERT promoter mutations (TERTp-mut) in gliomas and evidence that the TERT SNP genetic rs2736100 influences glioma risk. TERTp-mut creates a binding site for Ets/TCF transcription factors, whereas the common rs2853669 polymorphism disrupts another Ets/TCF site on TERT promoter. We sequenced for TERTp-mut in 807 glioma DNAs and in 235 blood DNAs and analysed TERT expression by RT-PCR in 151 samples. TERTp-mut status and TERTp polymorphism rs2853669 were correlated with histology, genomic profile, TERT mRNA expression, clinical outcome and rs2736100 genotype. TERTp-mut identified in 60.8% of gliomas (491 out of 807) was globally associated with poorer outcome (Hazard ratio (HR)=1.50). We defined, based on TERTp-mut and IDH mutation status, four prognostic groups: (1) TERTp-mut and IDH-mut associated with 1p19q codeletion, overall survival (OS)>17 years; (2) TERTp-wt and IDH-mut, associated with TP53 mutation, OS=97.5 months; (3) TERTp-wt and IDH-wt, with no specific association, OS=31.6 months; (4) TERTp-mut and IDH-wt, associated with EGFR amplification, OS=15.4 months. TERTp-mut was associated with higher TERT mRNA expression, whereas the rs2853669 variant was associated with lower TERT mRNA expression. The mutation of CIC (a repressor of ETV1-5 belonging to the Ets/TCF family) was also associated with TERT mRNA upregulation. In addition to IDH mutation status, defining the TERTp-mut status of glial tumours should afford enhanced prognostic stratification of patients with glioma. We also show that TERTp-mut, rs2853669 variant and CIC mutation influence Tert expression. This effect could be mediated by Ets/TCF transcription factors.

Objective: To identify the prognostic significance of TERT promoter mutations (TERTp-mut) and their associations with common molecular alterations in glioblastomas (GBMs). Methods: We sequenced the TERTp-mut in DNA from 395 GBMs and analyzed the results with their respective histology, genetic profile (IDH1 mutation, EGFR amplification, CDKN2A homozygous deletion, loss of chromosome 10, TP53 mutation), and overall survival (OS). Results: TERTp-mut were found in 299 of 395 GBMs (75.7%) and were associated with an older age (median 59.6 years for TERTp-mut vs 53.6 years for TERT promoter wild type [TERTp-wt], p < 0.0001). TERTp-mut was an independent factor of poor prognosis (OS = 13.8 vs 18.4 months), in both IDH-mutated (OS = 13.8 vs 37.6 months, p = 0.022) and IDH-wt GBMs (OS = 13.7 vs 17.5 months, p = 0.006). TERTp-mut was associated with IDH-wt, EGFR amplification, CDKN2A deletion, and chromosome 10q loss, but not with MGMT promoter methylation. In the TERTp-wt group, OS was twice longer in EGFR-wt than in EGFR amplification GBMs (OS = 26.6 vs 13.3 months; p = 0.005). In the EGFR-wt group, patients with TERTp-wt had a significantly better outcome (OS = 26.3 vs 12.5 months, p < 0.0001), whereas in the EGFR amplification group, patients with TERTp-mut survived longer (OS = 15.8 vs 13.3 months, p = 0.05). Taken together, the absence of both EGFR amplification and TERTp-mut is associated with longer survival in patients with GBM (26.5 months for patients with IDH-wt, 36.7 months for patients with IDH mutation). Conclusions: The analysis of TERTp-mut, in combination with EGFR amplification and IDH mutation status, refines the prognostic classification of GBMs.

While gliomas are the most common primary brain tumors, their etiology is largely unknown. To identify novel risk loci for glioma, we conducted genome-wide association (GWA) analysis of two case–control series from France and Germany (2269 cases and 2500 controls). Pooling these data with previously reported UK and US GWA studies provided data on 4147 glioma cases and 7435 controls genotyped for 424 460 common tagging single-nucleotide polymorphisms. Using these data, we demonstrate two statistically independent associations between glioma and rs11979158 and rs2252586, at 7p11.2 which encompasses the EGFR gene (population-corrected statistics, P_c = 7.72 × 10⁻⁸ and 2.09 × 10⁻⁸, respectively). Both associations were independent of tumor subtype, and were independent of EGFR amplification, p16INK4a deletion and IDH1 mutation status in tumors; compatible with driver effects of the variants on glioma development. These findings show that variation in 7p11.2 is a determinant of inherited glioma risk.

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression programs. These three layers of heterogeneity are interrelated and partially associated with specific genetic aberrations, thereby defining three stereotypic GBM ecosystems. This work provides an unparalleled view of the multilayered transcriptional architecture of GBM. How this architecture evolves during disease progression is addressed in the companion manuscript by Spitzer et al.