Sarkaria, Jann N.

Abstract BACKGROUND Efficacy of chimeric antigen receptor T cell (CART) therapy remains limited in solid tumors. Given the heterogeneity of surface receptor expression and immunosuppressive stromal microenvironment, strategies to target tumor neovasculature and tumor stromal cells are needed to help overcome CART inhibition by GBM. Eph receptors are the largest family of receptor tyrosine kinases and are integral to cell adhesion, migration, and axon guidance, during development and homeostasis. EphA3 is a receptor tyrosine kinase which is lowly expressed in adult tissues but is highly expressed in tumor neovasculature and tumor stromal cells in GBM and other solid tumors. EphA3 is over-expressed in up to 40% of GBM samples. We aimed to develop CART cells directed against EphA3 to use in targeting tumor neovasculature and tumor stromal cells in GBM. METHODS we developed a second generation CD28 co-stimulated CAR construct in a third generation lentivirus backbone to generate EphA3 CART cells using the single chain variable fragment of ifabotuzumab, a monoclonal antibody directed against EphA3. Patient derived GBM xenograft cell lines were used in these experiments. RESULTS EphA3 directed CART cells exhibited specific and potent antitumor activity against EphA3+ GBM cell lines with variable transcriptome EphA3 expression indicating its broader applicability in patients with GBM. Killing over 24-hour incubation was significant at low effector: target ratio: 52.5% killing at 1.25:1 against cell lines with 25.05% EphA3 expression and 37.1% killing at 1.25:1and 90% killing at 5:1 ratio against a cell line with 19.28% expression. Conversely, when co-cultured with UTD controls there was significantly lower killing, or growth of tumor cells. CONCLUSION We demonstrate for the first time that targeting EphA3 with CART cells is feasible, efficacious and represents a novel therapeutics strategy to target GBM. Data from in vivo and combinatorial CART experiments will be reported at the meeting.

Abstract Glioblastoma (GBM) is the most common and deadly type of malignant brain cancer in adults. While current standard of care which combines resection, radiation therapy (RT) and Temozolomide (TMZ) effectively eliminates primary disease, recurrence is inevitable, occurs rapidly following treatment and is ultimately lethal due to limited therapeutic opportunities of recurrent GBM. Hypermutation has been reported to occur in a subset of both low and high-grade gliomas and emerges after exposure to TMZ. Mutational inactivation and loss of mismatch repair (MMR) gene expression lead to the accumulation of single nucleotide polymorphisms throughout the genome. To date, the gain of hypermutation and subsequent therapeutic responses are still largely unknown. We hypothesized that hypermutant (HM) and non-hypermutant (NH) tumors represent two recurrent GBM subtypes, which has distinct therapeutic vulnerabilities. In addition, given the lack of concordance between microsatellite instability (MSI) and occurrence of hypermutation in GBM, we sought to derive a limited gene panel which can be used as surrogate biomarker for hypermutation following TMZ to replace whole exome sequencing (WES). Using public datasets, we demonstrated that recurrent GBM can be clustered into two subtypes: HM and NH. We used matched primary and recurrent GBM datasets to derive a gene panel signature, which is uniquely mutated at recurrence in HM GBM and confirmed the specificity of this panel in an independent dataset. Furthermore, we utilized patient derived xenograft (PDX) models to generate pre-clinical models and demonstrated that HM recurrent GBM are more immune responsive while NH recurrent GBM maintained sensitivity to a range of alternate chemotherapies such as cisplatin and RT. Finally, we demonstrated that this signature is represented in exosomes and can be enriched by use of tumor specific antibody capture methods to improve the sensitivity of hypermutation detection in liquid biopsy.

Abstract In glioblastoma (GBM), invasion and proliferation are reciprocally related—e.g., targeting one stimulates the other. Thus, effective therapy for GBM requires finding targets that drive both invasion and proliferation and which are druggable, ideally with FDA approved therapeutics. We find that the atypical protein kinase C isoform, PKCi meets these criteria. Using a human GBM tissue microarray, we find that PKCi protein expression fits a bimodal distribution, with >35% of GBMs showing high levels of PKCi expression. Genetic deletion of Prkci, the gene encoding mouse PKCi, impairs tumor invasion and proliferation both in vitro and in vivo, and significantly prolongs survival in an immunocompetent PDGF-driven orthotopic mouse model of GBM. PKCi can be selectively targeted with Auranofin, a small molecule PKCi inhibitor that has been FDA approved for treatment of inflammatory diseases. Like genetic deletion of Prkci Auranofin treatment significantly prolongs survival in our murine GBM model, and does so to a similar degree. Interestingly, analysis of a panel of human and murine GBM cells reveals that sensitivity to Auranofin inhibition of transformed growth directly correlates with expression of PKCi, indicating that PKCi expression profiling could serve as a predictive biomarker for responsiveness to Auranofin. However, genetically deleting or pharmacologically inactivating PKCi does not permanently arrest tumor growth, implying that GBM cells acquire mechanisms that allow them to compensate for the loss of this important signaling molecule. We are currently examining potential “escape” mechanisms through ‘omics-based approaches, which may enable us to enhance the therapeutic potential of Auranofin. Taken together, our results demonstrate that PKCi is a compelling therapeutic target for treatment of GBM that deserves further investigation.

Abstract Glioblastoma (GBM) is a common deadly malignant brain cancer of the central nervous system (CNS), with a median survival of 12–15 months. Scientific advancements are lacking in developing effective therapies for both primary GBM, as well as secondary GBMs, that typically originate as malignant transformation of lower-grade isocitrate dehydrogenase (IDH) 1-mutant tumors. The unique metabolomic profile of IDH1-mutant tumors may present opportunities to develop biomarker signatures of therapeutic efficacy. Microdialysis is an extracellular fluid sampling collection technique utilizing a perfused semipermeable catheter to permit diffusion of molecules between brain interstitium and the perfusate. We hypothesized that microdialysis may identify a metabolomics-based biomarker response to therapy in IDH1-mutant tumors. To test this hypothesis, orthotopic xenografts were generated from two patient-derived GBM lines harboring mutations in IDH1. Perfusates were collected from intra-cranial tumors in aythmic nude mice sampled at baseline and 72h post treatment with temozolomide, an oral alkylating agent used to treat IDH1-mutant gliomas, compared with vehicle treatment, and TMZ-treated non-tumor bearing animals. Perfusates were analyzed via unsupervised metabolomic profiling using both gas and liquid chromatography-mass spectrometry (GC/LC-MS). Tumor specific metabolites such as carnitine and pyruvic acid were detected in microdialysate from tumor bearing mice compared to non-tumor bearing mice. Microdialysis is a feasible technology to identify metabolomics-based biomarker in IDH1-mutant PDX. This work is complemented by parallel analysis of non-IDH1-mutant and TMZ resistant xenografts to yield predictive in vivo tissue biomarkers of drug responsiveness translatable to clinical practice.

Abstract EGFR gene amplification and mutation are common in glioblastoma (GBM), but EGFR inhibition is not effective in treating this tumor. EGFR inhibition may fail because EGFR is not a driver of the malignant phenotype in GBM, or because adaptive compensatory mechanisms are triggered by EGFR inhibition that prevent cell death from a loss of EGFR signaling. We have recently identified a TNFα-JNK-Axl-ERK signaling axis that mediates primary resistance to EGFR inhibition in GBM. Temozolomide (TMZ) is the most effective chemotherapy in GBM, although it has only a modest effect on overall survival. The efficacy of TMZ depends on the absence of the DNA repair protein O6-alkylguanine DNA alkyltransferase (MGMT) which reverses the DNA damage induced by TMZ. The MGMT promoter is hypermethylated in about 45% of GBMs, resulting in lack of MGMT expression. TMZ is less effective in MGMT unmethylated GBMs. Moreover, even initially responsive tumors develop a secondary resistance to TMZ. No treatment is effective in recurrent TMZ-resistant GBM. In this study, we compare the efficacy of temozolomide versus EGFR plus TNF inhibition in an orthotopic model of GBM. We find that efficacy of the two treatments is similar in MGMT-methylated GBMs. However, in MGMT-unmethylated GBMs, a combination of EGFR plus TNF inhibition is more effective. We demonstrate that the two treatment approaches target distinct and non-overlapping pathways. Furthermore, and importantly, EGFR plus TNF inhibition remains effective in TMZ-resistant recurrent GBMs and in GBMs rendered experimentally resistant to TMZ. Since the EGFR is expressed in the majority of GBMs, EGFR inhibition combined with a blunting of the accompanying TNF-driven adaptive response could be a broadly applicable and viable therapeutic approach in primary GBMs with MGMT unmethylation and in recurrent GBMs.

Abstract INTRODUCTION Glioblastoma (GBM) is an aggressive primary brain tumor, known for its poor prognosis. Due to its diffuse invasiveness into normal-appearing brain, localized treatments such as surgical resection and radiotherapy are typically supplemented with chemotherapy. However, to reach invading tumor cells, such antineoplastic drugs must cross the blood-brain barrier (BBB). That is, while angiogenesis induces BBB breakdown in dense tumor regions, the BBB remains rather intact for invading GBM cells. As a result, it is unclear whether BBB-impermeable drugs are delivered at a sufficient level to be effective. METHODS In order to study heterogeneity in BBB breakdown, experiments were conducted using both flank and intracranial patient-derived xenografts (PDXs) treated with the EGFR-targeted monoclonal antibody drug conjugate, depatuxizumab mafodotin (ABT-414). Time-series bioluminescence imaging (BLI) data was used to develop a differential equation model of tumor growth for three PDX cell lines. Data from untreated PDXs, both in flank and intracranially, were used to parameterize tumor proliferation rates. Flank PDX data were used to parameterize individual sensitivity to ABT-414, whereas intracranial PDX data were used to determine the proportion of drug exposed to the tumor. RESULTS Each PDX line differed in response to the study drug ABT-414. As expected, such heterogeneous responses can primarily be attributed to differences in both drug sensitivity and the proportion of drug that reached the tumor. Notably, the estimated proportion of drug that reached the tumor was highest in the PDX line with the longest survival times, despite also having higher estimates of resistance. This suggests that PDXs with greater overall BBB breakdown may respond better to this agent. CONCLUSIONS Although more cell lines are needed to validate our approach, parameterizing this model for PDXs gives valuable insight into the extent of BBB breakdown in patient GBMs and may aid in determining optimal therapies for individual patients.

Abstract Therapeutic resistance stemming from inter and intra-tumoral heterogeneity is a significant impediment towards development of effective therapeutics for glioblastoma. We hypothesized that microRNAs can potentially counteract resistance emanating from such heterogeneity as they simultaneously modulate the expression of multiple proteins. We identified microRNA-34a as a unique microRNA which modulates multiple oncoproteins in GBM using two different in silico approaches. We investigated the therapeutic effects of microRNA-34a in three primary patient-derived xenografts (PDX) representing classical (GBM6), proneural (GBM118) and mesenchymal (GBM118) subtypes; four established cell lines (T98G, U251, A172, LN229) and two cell lines with acquired resistance to temozolomide (A172-TR, LN229-TR) in vitro. Glioblastoma cell cultures showed variable responses to temozolomide but microRNA-34a inhibited proliferation in all cell cultures. Furthermore, microRNA-34a also sensitized all tested cell lines to temozolomide (combination index < 0.8, p=.03) and radiation treatment (dose enhancement factor 1.7–2.2, p=0.02). Mechanistically, microRNA 34a down-regulates at least six distinct therapeutic resistance proteins. Importantly, these resistance proteins are expressed in distinct spatial niches and are prognostic for patient survival based on our analysis of the cancer genome atlas (TCGA) data. For in vivo delivery of microRNA-34a, we utilized nanocells which are derived from genetically modified bacteria, loaded with microRNA-34a and tagged with a bispecific antibody targeting EGFR. Nanocells were injected intravenously while temozolomide was administered by oral gavage in an orthotopic PDX model. We confirmed delivery of microRNA-34a to tumor by observing down-regulation of cMet and phosphorylated Akt in treated mice. Importantly, microRNA-34a nanocells resulted in significant reduction in tumor growth (p=0.021), increased survival (p<0.001) with microRNA-34a monotherapy and synergy in combination with temozolomide in vivo. Taken together, our results suggest that delivery of miR-34a may be a powerful new adjuvant for the treatment of glioblastoma in combination with temozolomide that can mitigate both inter- and intra-tumor heterogeneity.

Abstract Glioblastoma, the most common and lethal of brain tumors, is both highly invasive and proliferative. This allows tumor cells to infiltrate into regions of the brain with an intact blood brain barrier and be protected from effective therapeutics. Thus, an ideal glioblastoma therapy needs to target cellular components that drive both invasion and proliferation, with inhibitors that penetrate the blood brain barrier. The mitotic kinesin KIF11 meets these criteria and it can be targeted with ispinesib, a highly specific small molecule inhibitor. However, to be effective, ispinesib needs to cross the blood brain barrier and be retained within brain long enough to target glioblastoma cells when they are vulnerable, during mitosis.. We have examined the factors that affect distribution of ispinesib to both brain and glioblastoma. We find that delivery of ispinesib is limited by P-gp and Bcrp-mediated drug efflux at the blood brain barrier. Consequently, ispinesib levels are significantly lower in the infiltrative tumor margin relative to the tumor core, where the blood brain barrier is defective. We also show that elacridar—an inhibitor of the P-gp and Brcp efflux transporters—enhances delivery of ispinesib, and that co-administration of ispinesib with elacridar markedly slows tumor proliferation and prolongs survival in a mouse model of this disease. These results demonstrate the feasibility and efficacy of combining a potentially ideal therapeutic with a compound that enhances brain retention of this therapeutic, and provides support for utilizing this approach in clinical investigations of KIF11 inhibitors in GBM.

Abstract OBJECTIVES Dogma suggests that for brain tumors, regions of enhancement on T1-weighted gadolinium contrast enhanced (T1Gd) magnetic resonance imaging (MRI) correlate with intravenously delivered drug distribution as enhancement indicates a compromised blood-brain barrier (BBB). However, poor response to intravenous therapies highlights the importance of the diffuse disease beyond enhancing regions. This study investigated whether imaging features can provide an accurate prediction of drug distribution. METHODS Eight brain tumor patients (7 gliomas and 1 metastatic adenocarcinoma) were included in this Phase 0 trial. Presurgery T1-weighted, T1Gd, T2-weighted gadolinium contrast enhanced (T2Gd), and T2-weighted Fluid Attenuated Inversion Recovery (T2FLAIR) MRIs were acquired. All images underwent bias correction using the N4 algorithm, standardization of intensities, and registration. Prior to incision, patients received both an antibiotic cefazolin (6% BBB penetrance) and levetiracetam (80% BBB penetrance), an anti-seizure drug. Subsequently, multiple blood samples and image-guided biopsies were taken and analyzed for drug concentration using liquid chromatography mass spectrometry. Biopsy drug levels are reported as Brain-Plasma Ratio (BPR), the ratio of biopsy concentration relative to plasma concentration. Mean image intensity was extracted from an 8x8 mm window surrounding each biopsy location. Regression analysis was performed to determine which combination of image types were linearly predictive of BPR for both drugs. Correlations were also analyzed according to the biopsy location radiographic appearance. RESULTS Regression analysis revealed that T2Gd intensity was linearly predictive of cefazolin BPR and FLAIR intensity was linearly predictive of levetiracetam BPR (p=0.009 and 0.041, respectively). Grouping samples according the the radiographic appearance revealed that levetiracetam BPR had a similar pattern of values to that of FLAIR intensities and cefazolin BPR had a similar pattern to T2, further supporting the regression analysis results. CONCLUSIONS Local concentrations of drug may be related to T2-weighted signals (T2Gd and T2FLAIR) rather than the gadolinium distribution on T1Gd images.

Glioblastoma (GBM; grade 4 glioma) is a highly aggressive and incurable tumor. GBM has recently been characterized as highly dependent on alternative splicing, a critical driver of tumor heterogeneity and plasticity. Estrogen‐related receptor β (ERR‐β) is an orphan nuclear receptor expressed in the brain, where alternative splicing of the 3' end of the pre‐mRNA leads to the production of 3 validated ERR‐β protein products: ERR‐β short form (ERR‐βsf), ERR‐β2, and ERR‐β exon 10 deleted. Our prior studies have shown the ERR‐β2 isoform to play a role in G 2 /M cell cycle arrest and induction of apoptosis, in contrast to the function of the shorter ERR‐βsf isoform in senescence and G 1 cell cycle arrest. In this study, we sought to better define the role of the proapoptotic ERR‐β2 isoform in GBM. We show that the ERR‐β2 isoform is located not only in the nucleus but also in the cytoplasm. ERR‐β2 suppresses GBM cell migration and interacts with the actin nucleation‐promoting factor cortactin, and an ERR‐β agonist is able to remodel the actin cytoskeleton and similarly suppress GBM cell migration. We further show that inhibition of the splicing regulatory cdc2‐like kinases in combination with an ERR‐β agonist shifts isoform expression in favor of ERR‐β2 and potentiates inhibition of growth and migration in GBM cells and intracranial tumors.—Tiek, D. M., Khatib, S. A., Trepicchio, C. J., Heckler, M. M., Divekar, S. D., Sarkaria, J. N., Glasgow, E., Riggins, R. B. Estrogen‐related receptor β activation and isoform shifting by cdc2‐like kinase inhibition restricts migration and intracranial tumor growth in glioblastoma. FASEB J. 33, 13476–13491 (2019). www.fasebj.org