Chromosome 17p Homodisomy Is Associated With Better Outcome in 1p19q Non-Codeleted and IDH-Mutated Gliomas.

BACKGROUND: The 1p19q non-codeleted gliomas with IDH mutation, defined as "molecular astrocytomas," display frequent TP53 mutations and have an intermediate prognosis. We investigated the prognostic impact of copy number-neutral loss of heterozygosity (CNLOH) in 17p in this population. METHODS: We analyzed 793 gliomas (206 grade II, 377 grade III, and 210 grade IV) by single nucleotide polymorphism array and for TP53 mutations. RESULTS: Homodisomy revealed by CNLOH was observed in 156 cases (19.7%). It was more frequent in astrocytomas and oligoastrocytomas (98/256, 38%) than oligodendrogliomas (28/327, 8.6%; p < .0001) or glioblastoma multiforme (30/210, 14.3%; p < .0001), tightly associated with TP53 mutation (69/71 vs. 20/79; p = 2 × 10(-16)), and mutually exclusive with 1p19q codeletion (1/156 vs. 249/556; p < .0001). In the group of IDH-mutated 1p19q non-codeleted gliomas, CNLOH 17p was associated with longer survival (86.3 vs. 46.2 months; p = .004), particularly in grade III gliomas (overall survival >100 vs. 37.9 months; p = .007). These data were confirmed in an independent dataset from the Cancer Genome Atlas. CONCLUSION: CNLOH 17p is a prognostic marker and further refines the molecular classification of gliomas. IMPLICATIONS FOR PRACTICE: Homodisomy of chromosome 17p (CNLOH 17p) is a frequent feature in IDH-mutated 1p19q non-codeleted gliomas (group 2). It is constantly associated with TP53 mutation. It was found, within this specific molecular group of gliomas (corresponding to molecular astrocytomas), that CNLOH 17p is associated with a much better outcome and may therefore represent an additional prognostic marker to refine the prognostic classification of gliomas.

CIC inactivating mutations identify aggressive subset of 1p19q codeleted gliomas.

OBJECTIVE: CIC gene is frequently mutated in oligodendroglial tumors with 1p19q codeletion. However, clinical and biological impact remain poorly understood. METHODS: We sequenced the CIC gene on 127 oligodendroglial tumors (109 with the 1p19q codeletion) and analyzed patients' outcome. We compared magnetic resonance imaging, transcriptomic profile, and CIC protein expression of CIC wild-type (WT) and mutant gliomas. We compared the level of expression of CIC target genes on Hs683-IDH1(R132H) cells transfected with lentivirus encoding mutant and WT CIC. RESULTS: We found 63 mutations affecting 60 of 127 patients, virtually all 1p19q codeleted and IDH mutated (59 of 60). In the 1p19q codeleted gliomas, CIC mutations were associated with a poorer outcome by uni- (p = 0.001) and multivariate analysis (p < 0.016). CIC mutation prognostic impact was validated on the TCGA cohort. CIC mutant grade II codeleted gliomas spontaneously grew faster than WTs. Transcriptomic analysis revealed an enrichment of proliferative pathways and oligodendrocyte precursor cell gene expression profile in CIC mutant gliomas, with upregulation of normally CIC repressed genes ETV1, ETV4, ETV5, and CCND1. Various missense mutations resulted in CIC protein expression loss. Moreover, a truncating CIC mutation resulted in a defect of nuclear targeting of CIC protein to the nucleus in a human glioma cell line expressing IDH1(R132H) and overexpression of CCND1 and other new target genes of CIC, such as DUSP4 and SPRED1. INTERPRETATION: CIC mutations result in protein inactivation with upregulation of CIC target genes, activation of proliferative pathways, inhibition of differentiation, and poorer outcome in patients with a 1p19q codeleted glioma.

Angiopoietin-2 May Be Involved in the Resistance to Bevacizumab in Recurrent Glioblastoma.

Despite encouraging response rate of bevacizumab (BVZ) in recurrent glioblastoma, many patients do not respond to this schedule and most of the responders develop an early relapse. Plasma concentrations of VEGF, PlGF, Ang2, and sTie2 were assessed by ELISA before and during BVZ treatment in seventy patients. Baseline levels of VEGF-A, and PlGF were higher in patients than in healthy volunteers, whereas no difference was found for Ang2, and sTie2. No biomarker at baseline was associated with response, PFS or OS. At recurrence, the authors observed an increase of Ang2 suggesting that Ang2/sTie2 could be involved in the resistance to BVZ.

TERT promoter mutations and rs2853669 polymorphism: prognostic impact and interactions with common alterations in glioblastomas.

TERT promoter (TERTp) mutation is the most common mutation in glioblastomas. It creates a putative binding site for Ets/TCF transcription factors, enhancing telomerase expression and activity, whereas the rs2853669 variant disrupts another Ets/TCF binding. We explore here the interaction between these two alterations, tumor genomic profile and the impact on prognosis. The TERTp and rs2853669 statuses were determined and confronted with the outcome and molecular profile, i.e., loss of chromosome 10q, CDKN2A deletion, IDH mutation, EGFR amplification, MGMT promoter methylation. 651 glioblastomas were selected (sex ratio = 1.35, median age 60.4 years, median survival 13.5 months). The TERTp mutation found in 481 patients (74 %) was independent from rs2853669 genotypes. TERTp mutation, but not rs2853669 status, was associated with older age (61.4 vs. 52.8 years). rs2853669 status had no impact on overall survival (OS) either in mutated TERTp or wild-type TERTp. Neither rs2736100 (TERT, 5q15.33) nor rs192011116 (TERC, 3q26.2) status had any impact on survival or showed any association with a TERTp mutation. The TERTp mutation was associated with EGFR amplification chromosome 10q loss, CDKN2A deletion and IDH wt. EGFR amplification was associated with a better outcome in TERTp mutated GBM, and a worse outcome in TERTp WT. This study-the largest analyzing the TERTp mutation and the rs2853669 polymorphism-fails to find any prognostic impact of rs2853669. It confirms the dual prognostic impact of EGFR amplification depending on TERTp status.

Deciphering the 8q24.21 association for glioma.

We have previously identified tagSNPs at 8q24.21 influencing glioma risk. We have sought to fine-map the location of the functional basis of this association using data from four genome-wide association studies, comprising a total of 4147 glioma cases and 7435 controls. To improve marker density across the 700 kb region, we imputed genotypes using 1000 Genomes Project data and high-coverage sequencing data generated on 253 individuals. Analysis revealed an imputed low-frequency SNP rs55705857 (P = 2.24 × 10(-38)) which was sufficient to fully capture the 8q24.21 association. Analysis by glioma subtype showed the association with rs55705857 confined to non-glioblastoma multiforme (non-GBM) tumours (P = 1.07 × 10(-67)). Validation of the non-GBM association was shown in three additional datasets (625 non-GBM cases, 2412 controls; P = 1.41 × 10(-28)). In the pooled analysis, the odds ratio for low-grade glioma associated with rs55705857 was 4.3 (P = 2.31 × 10(-94)). rs55705857 maps to a highly evolutionarily conserved sequence within the long non-coding RNA CCDC26 raising the possibility of direct functionality. These data provide additional insights into the aetiological basis of glioma development.

Preclinical impact of bevacizumab on brain and tumor distribution of irinotecan and temozolomide.

Glioblastoma (GBM) is the most common primary malignant brain tumour in adults. Prognosis of GBM patients is poor with median overall survival around 15 months. Temozolomide is the chemotherapeutic agent used in the standard of care of newly diagnosed GBM patients relying on radiotherapy with concurrent chemotherapy followed by chemotherapy alone. Irinotecan has shown some efficacy in recurrent malignant gliomas. Bevacizumab has been combined with irinotecan in the treatment of recurrent GBM and with temozolomide in newly diagnosed GBM. As the efficacy of GBM treatments relies on their brain distribution through the blood brain barrier, the aim of the present preclinical work was to study, in in vivo models, the impact of bevacizumab on brain and tumor distribution of temozolomide and irinotecan. Our results show that bevacizumab pre-treatment was associated with a reduced temozolomide brain distribution in tumor-free mice. In tumor bearing mice, bevacizumab increased temozolomide tumor distribution, although not statistically significant. In both tumor-free and tumor-bearing mice, bevacizumab does not modify brain distribution of irinotecan and its metabolite SN-38. Bevacizumab impacts brain distribution of some anti-tumor drugs and potentially their efficacy in GBM. Further studies are warranted to investigate other therapeutic combination.

VEGFA SNP rs2010963 is associated with vascular toxicity in recurrent glioblastomas and longer response to bevacizumab.

Although anti-VEGF therapy is widely used in high-grade gliomas, no predictor of response or toxicity has been reported yet. We investigated here the association of the functional single nucleotide polymorphism (SNP) rs2010963, located in the 5' untranslated terminal region of the VEGFA gene, with survival, response to bevacizumab (BVZ) and vascular toxicity. The rs2010963 was genotyped by Taqman assay in blood DNA from 954 glioma patients with available survival data, including 225 glioblastoma (GBM) patients treated with BVZ. VEGFA plasma levels were assessed by ELISA in 87 patients before treatment. Thrombo-hemorragic adverse events were recorded during BVZ treatment or not, and in an independent population of 92 GBM patients treated with temozolomide. The CC genotype was associated with the occurrence of thrombo-hemorragic events (CC 25 versus CG 13.5 and GG 5.2 %; P = 0.0044) during BVZ. A similar but weaker and non significant trend was observed in patients not receiving BVZ. A CC genotype was associated with higher levels of plasma VEGFA at baseline (107.6 versus 57.50 pg/mL in heterozygotes (CG) and 52.75 pg/mL in GG patients, P = 0.035 and P = 0.028 respectively). The CC genotype tended to be associated to longer PFS when treated with BVZ (P = 0.05), but not when treated with the temozolomide treatment. Our data suggest that the rs2010963 genotype is associated with longer PFS, higher risk of vascular events in recurrent GBM especially treated with BVZ, and higher plasma VEGFA concentration. It may help to identify patients at risk of vascular adverse events during BVZ treatment.

Molecular analysis of diffuse intrinsic brainstem gliomas in adults.

Diffuse intrinsic brainstem gliomas (DIBG) account for 1-2 % of adult gliomas. Their biological characteristics are scarcely understood and whether DIBG are biologically different from supratentorial gliomas remains to be established. We analyzed 17 DIBG samples for IDH1 R132H, alpha internexin, p53, and Ki67 expression, and, in a subset with sufficient DNA amount, for IDH1 and histone H3 mutational status, genomic profiling and MGMT promoter methylation status. A series of 738 adult supratentorial gliomas was used for comparison. Median age at diagnosis was 41 years (range 18.9-65.3 years). Median overall survival was 48.7 months (57 months for low-grade vs. 16 months for high-grade gliomas, p < 0.01). IDH1 sequencing revealed two mutations (IDH1 (R132G) , IDH1 (R132C) ) out of 7 DIBG whereas the R132H IDH1 enzyme was detected in 1/17 DIBG, suggesting that IDH1 mutations are mostly non R132H in DIBG (2/2), in contrast to supratentorial gliomas (31/313; p = 0.01). Mutations in histone genes H3F3A (encoding H3.3) and HIST1H3B (encoding H3.1) were found in 3/8 (37.5 %) of the DIBG (two H3F3A (K27M) and one HIST1H3B (K27M) ) versus 6/205 (2.9 %) of the supratentorial high-grade gliomas (four H3F3A (G34R) and two H3F3A (K27M) ) (p = 0.002). The CGH array showed a higher frequency of chromosome arm 1q gain, 9q gain and 11q loss in DIBG compared to the supratentorial high-grade gliomas, which had a less frequent chromosome 7 gain, and a less frequent chromosome 10 loss. No EGFR amplification was found. These data suggest that adult DIBG differ from adult supratentorial gliomas. In particular, histone genes (H3F3A (K27M) , HIST1H3B (K27M) ) mutations are frequent in adult DIBG whereas IDH1 (R132H) mutations are rare.

Chromosome 7p11.2 (EGFR) variation influences glioma risk.

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.

Prognostic impact of the isocitrate dehydrogenase 1 single-nucleotide polymorphism rs11554137 in malignant gliomas.

BACKGROUND: The IDH1 gene, which encodes isocitrate dehydrogenase 1, is frequently mutated in gliomas and acute myeloid leukemia. The single-nucleotide polymorphism (SNP) (reference SNP no. rs11554137:C>T) located on IDH1 codon 105 has been associated with a poor outcome in patients with acute myeloid leukemia but has not been investigated in patients with gliomas. METHODS: The IDH1 codon 105 SNP was genotyped first in a series of 952 patients with grade 2 through 4 gliomas and was correlated with outcomes and tumor genomic profile. Then, it was genotyped in 2 validations sets of 306 patients with glioblastoma (GBM) and 591 patients with glioma. RESULTS: The minor allele codon 105 glycine (GGT) SNP (IDH1(105GGT) ) was identified in 98 of 952 patients (10.3%) and was not associated with the codon 132 (IDH1(132) ) mutation. Patients who had GMB with the IDH1(105GGT) variant had a poorer outcome than patients without the variant (median overall survival [OS], 10.7 months vs 15.5 months; P = .001; median progression-free survival [PFS], 6.4 months vs 8.5 months; P = .003). The prognostic impact was confirmed in an independent validation set of 306 GBMs from the same center (median PFS, 6.8 months vs 9.7 months; P = .006; median OS, 13.9 months vs 18.8 months; P = .0187). In the second validation cohort (591 grade 2-4 gliomas), a significant association was observed between IDH1(105GGT) and an adverse prognosis for the overall series and for patients with World Health Organization grade 3 gliomas, but the difference did not reach significance in patients with GBM. CONCLUSIONS: Taken together, the current data strongly suggested an association between the SNP rs11554137:C>T polymorphism and adverse outcomes in patients with malignant glioma. A single-nucleotide polymorphism (SNP) located on codon 105 of the isocitrate dehydrogenase 1 (IDH1) gene (reference SNP rs11554137) is analyzed in 3 independent series of patients with gliomas. The SNP rs11554137 is independent of the occurrence of somatic mutation on IDH1 codon 132, but, per se, has a prognostic impact in malignant gliomas.

Comparative assessment of 5 methods (methylation-specific polymerase chain reaction, MethyLight, pyrosequencing, methylation-sensitive high-resolution melting, and immunohistochemistry) to analyze O6-methylguanine-DNA-methyltranferase in a series of 100 glioblastoma patients.

BACKGROUND: There is a strong need to determine the best technique for O(6) -methylguanine-DNA-methyltranferase (MGMT) analysis, because MGMT status is currently used in clinical trials and occasionally in routine clinical practice for glioblastoma patients. METHODS: The authors compared analytical performances and predictive values of 5 techniques in a series of 100 glioblastoma patients who received standard of care treatment (Stupp protocol). RESULTS: MGMT promoter was considered methylated in 33%, 33%, 42%, and 60% of patients by methylation-sensitive high-resolution melting, MethyLight, pyrosequencing (with an optimal risk cutoff at 8% for the average percentage of the 5 CpGs tested), and methylation-specific polymerase chain reaction (MS-PCR), respectively. Fifty-nine percent of the samples had <23% (the optimal risk cutoff) of MGMT-positive tumor cells. The best predictive values for overall survival (OS), after adjustment for age and performance status, were obtained by pyrosequencing (hazard ratio [HR], 0.32; P < .0001), MS-PCR (HR, 0.37; P < .0001), and immunohistochemistry (HR, 0.43; P = .0005) as compared with methylation-sensitive high-resolution melting (HR, 0.52 P = .02) and MethyLight (HR, 0.6; P = .05). For progression-free survival (PFS), the best predictive values were obtained with pyrosequencing (HR, 0.35; P < .0001), methylation-sensitive high-resolution melting (HR, 0.46; P = .002), and MS-PCR (HR, 0.49; P = .002). Combining pyrosequencing and immunohistochemistry slightly improved predictive power for OS, but not for PFS. Poor reproducibility and interobserver variability were, however, observed for immunohistochemistry. CONCLUSIONS: Good prediction of survival in addition to high reproducibility and sensitivity made pyrosequencing the best among the 5 techniques tested in this study.

Prognostic stratification of gliomatosis cerebri by IDH1 R132H and INA expression.

Gliomatosis cerebri (GC) constitutes a heterogeneous group of conditions involving diffuse neoplastic glial cell infiltration of the brain. Management is difficult and an obvious challenge is to identify prognostic factors. Alpha-internexin (INA) expression, which is closely related to the 1p19q codeletion, is a strong prognostic marker in oligodendroglial tumors. Similarly, the R132H isocitrate dehydrogenase 1 IDH1 mutation, which can now be detected by use of a specific antibody, predicts better outcome in gliomas. In a retrospective series of 40 GC treated with up-front chemotherapy, we analyzed IDH1(R132H) mutant protein and INA immunohistochemical expression and correlated it with outcome; 17/40 GC expressed IDH1(R132H) and 10/40 GC expressed INA. IDH1(R132H) staining was strongly related to progression-free survival (42.3 vs. 15.5 months for positive IDH1(R132H) vs. negative tumors; P < 0.0001) and overall survival (73.9 vs. 23.6 months; P < 0.0001). This effect was independent of grade, histologic subtype, and INA expression (P < 0.001). Combined expression of IDH1(R132H) and INA was strongly associated with response to chemotherapy (100% vs. 36%; P = 0.003). These data strongly suggest that INA and IDH1(R132H) mutant protein immunohistochemical analysis is of a great prognostic value in biopsied GC.

COLD PCR HRM: a highly sensitive detection method for IDH1 mutations.

The p.Arg132His mutation of isocitrate dehydrogenase 1 (IDH1(R132H) ) is a frequent alteration and a major prognostic marker in gliomas. However, direct sequencing of highly contaminated tumor samples may fail to detect this mutation. Our objective was to evaluated the sensitivity of a newly described amplification method, coamplification at lower temperature-PCR (COLD PCR), combined with high-resolution melting (HRM) for the detection of the IDH1(R132H) mutation. To this end, we used serial dilutions of mutant DNA with wild-type DNA. PCR-HRM assay detects IDH1(R132H) at an abundance of 25%, similar to the detection limit of direct Sanger sequencing. Introducing a run of COLD PCR allows the detection of 2% mutant DNA. Using two consecutive runs of COLD PCR, we detected 0.25% mutant DNA in a background of wild-type DNA, that mimics a tumor sample highly contaminated by normal DNA. We then analyzed 10 biopsies of tumor edges, considered free of tumor cells by histological analysis, and showed that immunohistochemistry of IDH1(R132H) was positive in three cases (30%), whereas double COLD PCR HRM was positive in the 10 cases studied (100%). In summary, COLD PCR HRM analysis is 100-fold more sensitive than Sanger sequencing, rendering this rapid and powerful strategy particularly useful for samples highly contaminated with normal tissue.

Prognostic markers in gliomas.

In recent years, extensive molecular studies have identified diagnostic and prognostic markers in gliomas that reinforce the WHO histological classification. 1p19q codeletion, O(6)-methylguanine DNA methyltransferase (MGMT) status, and mutations of isocitrate dehydrogenases 1 and 2 (IDH1/IDH2) are currently the three most pertinent markers in diffuse gliomas. Ongoing clinical trials already stratify or select patients according to their 1p19q codeletion or MGMT status. Mutations of IDH1 have been recently identified as a major prognostic factor in diffuse gliomas. Future studies should determine whether IDH1/IDH2 mutations are predictive of response to treatments. Routine use of these markers considerably contributes to a more objective classification of gliomas based on both histological and molecular features.

Proteasome inhibition by bortezomib does not translate into efficacy on two malignant glioma xenografts.

Bortezomib and other proteasome inhibitors have demonstrated an interesting antitumor activity against glioma cell lines. The present study aimed to evaluate the cytotoxic potential of bortezomib in vivo on two human malignant glioma xenografts using doses relevant to clinical practice. The TCG3 and U87 malignant glioma xenografts were heterotopically implanted onto nude mice. Bortezomib effects were evaluated using the three different doses of 0.25, 0.45 and 0.90 mg/kg. Proteasome chymotrypsin-like activity was measured by a fluorimetric method. Analysis of the cell cycle distribution was performed after propidium iodide staining. The apoptotic rate and proliferative index were determined by an immunohistochemical detection of cleaved caspase-3 and Ki-67, respectively. Our data showed that bortezomib induced a dose-dependent inhibition of proteasome chymotrypsin-like activity in the two glioma models. Maximal inhibition was achieved 24 h after drug injection and was approximately 30% of basal proteasome activity. However, this effect did not induce any increase in the apoptotic rate and did not modify cell cycle distribution. At the maximal dose tested (0.90 mg/kg), bortezomib did not show any growth delay as compared to untreated tumors, in either of the xenograft models. In conclusion, our study is the first to demonstrate that bortezomib, at a clinically relevant dose, did not have any effect on the apoptosis and proliferation of malignant gliomas in vivo. These results contrast with the promising preclinical data obtained in vitro with this drug and emphasize the importance of performing preclinical studies on animal models, in conditions close to clinical settings.

Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.

Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two new GWAS, which totaled 12,496 cases and 18,190 controls. We identified five new loci for glioblastoma (GBM) at 1p31.3 (rs12752552; P = 2.04 × 10-9, odds ratio (OR) = 1.22), 11q14.1 (rs11233250; P = 9.95 × 10-10, OR = 1.24), 16p13.3 (rs2562152; P = 1.93 × 10-8, OR = 1.21), 16q12.1 (rs10852606; P = 1.29 × 10-11, OR = 1.18) and 22q13.1 (rs2235573; P = 1.76 × 10-10, OR = 1.15), as well as eight loci for non-GBM tumors at 1q32.1 (rs4252707; P = 3.34 × 10-9, OR = 1.19), 1q44 (rs12076373; P = 2.63 × 10-10, OR = 1.23), 2q33.3 (rs7572263; P = 2.18 × 10-10, OR = 1.20), 3p14.1 (rs11706832; P = 7.66 × 10-9, OR = 1.15), 10q24.33 (rs11598018; P = 3.39 × 10-8, OR = 1.14), 11q21 (rs7107785; P = 3.87 × 10-10, OR = 1.16), 14q12 (rs10131032; P = 5.07 × 10-11, OR = 1.33) and 16p13.3 (rs3751667; P = 2.61 × 10-9, OR = 1.18). These data substantiate that genetic susceptibility to GBM and non-GBM tumors are highly distinct, which likely reflects different etiology.

Search for new loci and low-frequency variants influencing glioma risk by exome-array analysis.

To identify protein-altering variants (PAVs) for glioma, we analysed Illumina HumanExome BeadChip exome-array data on 1882 glioma cases and 8079 controls from three independent European populations. In addition to single-variant tests we incorporated information on the predicted functional consequences of PAVs and analysed sets of genes with a higher likelihood of having a role in glioma on the basis of the profile of somatic mutations documented by large-scale sequencing initiatives. Globally there was a strong relationship between effect size and PAVs predicted to be damaging (P=2.29 × 10(-49)); however, these variants which are most likely to impact on risk, are rare (MAF<5%). Although no single variant showed an association which was statistically significant at the genome-wide threshold a number represented promising associations - BRCA2:c.9976A>T, p.(Lys3326Ter), which has been shown to influence breast and lung cancer risk (odds ratio (OR)=2.3, P=4.00 × 10(-4) for glioblastoma (GBM)) and IDH2:c.782G>A, p.(Arg261His) (OR=3.21, P=7.67 × 10(-3), for non-GBM). Additionally, gene burden tests revealed a statistically significant association for HARS2 and risk of GBM (P=2.20 × 10(-6)). Genome scans of low-frequency PAVs represent a complementary strategy to identify disease-causing variants compared with scans based on tagSNPs. Strategies to lessen the multiple testing burden by restricting analysis to PAVs with higher priors affords an opportunity to maximise study power.

Preclinical Efficacy of the MDM2 Inhibitor RG7112 in MDM2-Amplified and TP53 Wild-type Glioblastomas.

PURPOSE: p53 pathway alterations are key molecular events in glioblastoma (GBM). MDM2 inhibitors increase expression and stability of p53 and are presumed to be most efficacious in patients with TP53 wild-type and MDM2-amplified cancers. However, this biomarker hypothesis has not been tested in patients or patient-derived models for GBM. EXPERIMENTAL DESIGN: We performed a preclinical evaluation of RG7112 MDM2 inhibitor, across a panel of 36 patient-derived GBM cell lines (PDCL), each genetically characterized according to their P53 pathway status. We then performed a pharmacokinetic (PK) profiling of RG7112 distribution in mice and evaluated the therapeutic activity of RG7112 in orthotopic and subcutaneous GBM models. RESULTS: MDM2-amplified PDCLs were 44 times more sensitive than TP53-mutated lines that showed complete resistance at therapeutically attainable concentrations (avg. IC50 of 0.52 µmol/L vs. 21.9 µmol/L). MDM4-amplified PDCLs were highly sensitive but showed intermediate response (avg. IC50 of 1.2 µmol/L), whereas response was heterogeneous in TP53 wild-type PDCLs with normal MDM2/4 levels (avg. IC50 of 7.7 µmol/L). In MDM2-amplified lines, RG7112 restored p53 activity inducing robust p21 expression and apoptosis. PK profiling of RG7112-treated PDCL intracranial xenografts demonstrated that the compound significantly crosses the blood-brain and the blood-tumor barriers. Most importantly, treatment of MDM2-amplified/TP53 wild-type PDCL-derived model (subcutaneous and orthotopic) reduced tumor growth, was cytotoxic, and significantly increased survival. CONCLUSIONS: These data strongly support development of MDM2 inhibitors for clinical testing in MDM2-amplified GBM patients. Moreover, significant efficacy in a subset of non-MDM2-amplified models suggests that additional markers of response to MDM2 inhibitors must be identified.