Schiff, David

Abstract Glioblastoma (GBM) is the most common and most lethal primary malignant brain tumor. Two common alterations in GBM are loss of the tumor suppressor PTEN and upregulation of the oncogenic receptor tyrosine kinase MET. We uncovered a new connection between PTEN and MET expressions and functions in GBM. We found that PTEN expression in GBM cell lines (U87, U373, A172, LNZ-308) and primary cells (GBM8) inhibits MET expression. We uncovered the molecular basis and functional significance of this connection. Based on our previous work and published literature, PTEN stabilizes p53, p53 induces miR-34a expression, and miR-34a inhibits MET expression. We therefore hypothesized that PTEN inhibits MET by regulating p53 and miR-34a and that the PTEN tumor suppressive effects are partly mediated by MET downregulation. To verify the hypothesis, we first showed that PTEN restoration leads to miR-34a upregulation in GBM cells. We then showed that this latter effect is p53-dependent as p53 knockdown with a specific shRNA partly reversed PTEN induction of miR-34a. We also showed that PTEN-induced downregulation of MET expression can be rescued by inhibition of miR-34a with an anti-miR3a. We therefore established a new molecular cascade that links PTEN, p53, miR-34a and MET in GBM. To determine the functional relevance of this cascade, we assessed the effects of PTEN on GBM cell death and invasion also in the settings of shRNA-mediated knockdown of p53 and anti-miR-mediated inhibition of miR-34a. PTEN strongly induced GBM cell death (measured by Annexin V/7AAD flow cytometry) and inhibited transwell invasion though a collagen IV matrix. The PTEN effects on cell death and invasion were partly reduced by p53 knock-down and miR-34a inhibition. This demonstrates that the tumor suppressive effects of PTEN in GBM are partly mediated by the PTEN/p53/miR-34a/MET cascade. In ongoing experiments, we are investigating the expressions of PTEN, MET, p53 and miR-34a in human GBM tissues to determine if there are potential correlations that are consistent with our above findings. Altogether, this study establishes a new molecular and functional link between PTEN and MET that involves p53 and miR-34a in GBM. Citation Format: Fadilla Guessous, Nichola A. Cruickshanks, Ying Zhang, David Schiff, Jann Sarkaria, Roger Abounader. PTEN tumor suppressive effects in glioblastoma are partly mediated by MET downregulation via a p53-miR-34a axis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 345. doi:10.1158/1538-7445.AM2017-345

LBA2010 Background: RTOG 0825 evaluated the addition of BEV to standard CRT in the treatment of GBM and included molecular stratification that assessed the degree of mesenchymal (MES) gene enrichment. We investigated the ability of the MES signature to predict response to BEV. Methods: Sufficient FFPE tissue for molecular analysis was available for 650 registered, eligible patients. TaqMan PCR was performed prospectively using the molecular stratifier on all patients and an expanded 43 member MES set on 234 cases. A subset of specimens was subjected to whole genome expression profiling (GEP). Predictive models were evaluated for their ability to predict survival (overall, OS, and progression-free, PFS) in the training cohort of the BEV arm after adjusting for prognostic factors and treatment arm. Unsupervised clustering of GEP data was used to identify molecular subsets and gene set enrichment analysis (GSEA) performed to evaluate for MES enrichment. Results: We observed a significant association between increasing MES signature and worse PFS and OS in the BEV arm (p=0.036 and p=0.032, respectively). Based on the association between high MES expression and poor outcome in the BEV arm, we sought to optimize a predictor using an expanded set of MES genes. Unbiased gene selection from a total of 43 genes followed by radial basis machine modeling identified a 10-gene predictor of outcome in the BEV arm (p<0.001/HR 4.04 for OS and p<0.001/HR 2.21 for PFS). To further support the association of MES enrichment and poor outcome in the BEV arm, we performed GEP. Unsupervised clustering identified a subtype of tumors with MES enrichment associated with the 10-gene predictor survival probability (p=0.0124, t-test). Ongoing studies will determine the extent to which this represents a predictive marker for BEV. Conclusions: We developed a 10-gene predictor specific to BEV treatment and suitable for FFPE that may serve to identify subsets of patients with newly diagnosed GBM who benefit from BEV. Supported by RTOG grant U10 CA21661, CCOP grant U10 CA37422, and Brain SPORE P50 CA127001 from the NCI and Genentech. Clinical trial information: NCT00884741.

1 Background: Chemoradiation (CRT) with temozolomide (TMZ/RT→TMZ) is the standard of care for newly diagnosed GBM. This trial determined if the addition of Bev to standard CRT improves survival (OS) or progression-free survival (PFS) in newly diagnosed GBM. Methods: This phase III trial was conducted by the RTOG, NCCTG, and ECOG. Neurologically stable pts > 18 yrs with KPS ≥ 60, and > 1cm3 tumor tissue block, were randomized to Arm 1: standard CRT + placebo or Arm 2: standard CRT plus Bev (10 mg/kg iv q 2wks). Experimental treatment began at wk 4 of radiation then thru 6-12 cycles of maintenance chemotherapy. Protocol specified co-primary endpoints were OS and PFS, with significance levels of .023 and .002, respectively. At progression, treatment was unblinded and pts allowed to crossover or continue Bev. Symptom, QOL and neurocognitive (NCF) testing was performed in the majority of pts. Secondary analyses evaluated impact of MGMT methylation (meth) and prognostic 9 gene signature status. Results: From 978 registered pts, 637 were randomized. Inadequate tissue (n=105) and blood on imaging (n=40) were key reasons for non-randomization. No difference was found between arms for OS (median 16.1 vs. 15.7 mo, p = 0.11). PFS was extended for Arm 2 (7.3 vs. 10.7 mo, p = 0.004). Pts with MGMT meth had superior OS (23.2 vs. 14.3 mo, p < 0.001) and PFS (14.1 vs. 8.2 mo, p < 0.001). Neither the 9 gene signature nor MGMT predicted selective benefit for Bev treatment, but best prognosis pts (MGMT meth, favorable 9-gene), had a worse survival trend with Bev (15.7 vs 25 mo p = 0.08). To date, 128 pts were unblinded on Arm 1 (salvage Bev in 86) and 87 pts on Arm 2 (continued Bev in 39). Increased grade ≥ 3 toxicity was seen with Bev, mostly neutropenia, hypertension, and DVT/PE. Conclusions: The addition of Bev for newly diagnosed GBM did not improve OS, did improve PFS but did not reach the significance criterion. MGMT and 9 gene profile did not identify selective benefit, but risk subset results suggested strongly against the upfront use of Bev in the best prognosis pts. Full interpretation of the PFS results incorporating symptom burden, QOL, and NCF is ongoing. Support: NCI U10 CA 21661, U10 CA37422, and Genentech. Clinical trial information: NCT00884741.

Abstract Purpose: Primary central nervous system lymphoma (PCNSL) is an aggressive non-Hodgkin lymphoma confined to the central nervous system. Whether there is a PCNSL-specific genomic signature and, if so, how it differs from systemic diffuse large B-cell lymphoma (DLBCL) is uncertain. Experimental Design: We performed a comprehensive genomic study of tumor samples from 19 immunocompetent PCNSL patients. Testing comprised array-comparative genomic hybridization and whole exome sequencing. Results: Biallelic inactivation of TOX and PRKCD was recurrently found in PCNSL but not in systemic DLBCL, suggesting a specific role in PCNSL pathogenesis. In addition, we found a high prevalence of MYD88 mutations (79%) and CDKN2A biallelic loss (60%). Several genes recurrently affected in PCNSL were common with systemic DLBCL, including loss of TNFAIP3, PRDM1, GNA13, TMEM30A, TBL1XR1, B2M, CD58, activating mutations of CD79B, CARD11, and translocations IgH-BCL6. Overall, B-cell receptor/Toll-like receptor/NF-κB pathways were altered in &gt;90% of PNCSL, highlighting its value for targeted therapeutic approaches. Furthermore, integrated analysis showed enrichment of pathways associated with immune response, proliferation, apoptosis, and lymphocyte differentiation. Conclusions: In summary, genome-wide analysis uncovered novel recurrent alterations, including TOX and PRKCD, helping to differentiate PCNSL from systemic DLBCL and related lymphomas. Clin Cancer Res; 21(17); 3986–94. ©2015 AACR.

Abstract Introduction: Only few genetic studies have been performed in PCNSL, partly due to the rarity of the tumors and the limited amount of available tissue. Unlike nodal DLBCL, PCNSL is poorly understood in terms of its precise histogenetic origin and molecular pathogenesis. It is still a matter of debate whether PCNSL differs from nodal DLBCL with respect to their molecular features and pathogenesis and also if there is a genomic signature PCNSL-specific. Materials and Methods: To determine the pattern of genetic alterations, 17 immunocompetent (EBV-, HIV-) PCNSL were analyzed by aCGH. Seven cases were analyzed using fresh tumor samples and 10 using formalin-fixed paraffin embedded (FFPE) tissues. B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. The aCGH profile from PCNSL cases was compared with aCGH data obtained from 59 nodal DLBCL. Results: We found a complex karyotype with a median of 21 copy-number abnormalities (CNA) per case (range 10-49). Overall, 18 regions (10 losses and 8 gains) were affected in &gt;20% of cases. Loss of 9p21 (CDKN2A) was the commonest CNA (82% of cases). Other common CNAs were loss of 6q23.3 (TNFAIP3; 59%), 6p21 (HLA genes; 53%), 6q21 (PRDM1; 47%) and gain of 12q21-q24 (53%), 7q21-q31 (35%) and 19q13 (35%). Five novel recurrent focal CNAs were found in PCNSL; loss of 3p21.31, 3q26.32, 10p15.3-p14, 12q24.31 and 16q12.1-q21 (29% of cases each). All of them, excluding –16q12.1-q21, were found either in less than 5% or absent in nodal DLBCL, thus suggesting to be unique to PCNSL. Recurrent homozygous deletions were found in CDKN2A, TMEM30A, TOX and CD58, the latter two involved in T-cell development and activation. CD58 was also recurrently affected by small focal deletions in the Ig-like C2-type domain. Furthermore, DNA sequencing analysis showed missense mutations in the Toll/IL-1 receptor domain of MYD88 in 35% of PCNSLs. Another 34 genes, including B2M, ETV6, MHC class II genes, PRDM1, and TNFRSF10A were homozygously deleted. Bioinformatics analysis including the most commonly affected genes showed an enrichment of networks associated with immune response, NF-kB pathway, proliferation, regulation of the apoptosis and lymphocyte differentiation and activation. Conclusions: We showed evidence of a highly complex genome and identified a subset of genes with potential relevance in PCNSL pathogenesis. The genomic profile described here reinforces the existence of a specific molecular signature in PCNSL, thus helping to genetically differentiate this entity from the nodal DLBCL and related lymphomas. Additionally, the results obtained from FFPE samples are encouraging and larger archival tissue collections can now be analyzed in order to complement the still fragmented knowledge we have of the genetic basis of the disease. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5081. doi:1538-7445.AM2012-5081