Berens, Michael E.

Abstract Description Many cancers, including glioblastoma (GBM), exhibit a male-biased incidence and outcome disparity, partially driven by sex hormones. While androgens are known to suppress anti-tumor T cell immunity in certain solid tumors, we found that androgens instead enhance anti-tumor immunity in brain tumors. Upon castration, tumor growth was accelerated in brain tumor models, while the opposite effect was observed for tumors located outside the brain. Decreased T cell function was observed in both tumors and peripheral lymphoid organs in castrated mice, indicated by reduced anti-tumor cytokines and increased T cell exhaustion. Mechanistically, this systemic immunosuppression was driven by hyperactivation of the hypothalamus-pituitary-adrenal (HPA) axis in castrated mice with brain tumors. Blocking glucocorticoid receptors reversed the accelerated tumor growth in these mice, confirming the role of HPA axis dysregulation. This mechanism was brain-specific rather than GBM-specific, as hyperactivation of the HPA axis was also observed with intracranial implantation of non-GBM tumors. Furthermore, elevated production of proinflammatory cytokines (IL-1β, TNF) in the brain of castrated mice was identified as a driver of HPA axis activation. Taken together, these findings reveal unique endocrine-mediated mechanisms by which brain tumor modulate systemic immunity in the androgen-deprived setting and highlight the importance of organ-specific effects of anti-tumor immunity. Funding Sources NIH P01CA245705; NIH R35NS127083; American Brain Tumor Association; Cleveland Clinic; Case comprehensive cancer center Topic Categories Tumor Immunology: Cellular Responses and Tumor Microevironment (TIME)

Abstract The selectivity of the blood-brain-barrier (BBB) can prevent therapeutics from reaching the brain, and this may contribute to the high failure rate of new drugs for tumors like glioblastoma (GBM) and brain metastasis. The capacity to detect BBB penetrance in real-time in a noninvasive manner would arguably aid the rate of therapeutic development. Extracellular vesicles, which are membrane bound particles secreted by all cell types in the body, have potential as a neuro pharmacodynamic reporter given that their protein and RNA cargo reflect the originating cell population. We hypothesized that the exposure of GBM cells to therapy results in altered EV cargo, and that the detection of this shift can be leveraged as a liquid biopsy from patients during early clinical trials to determine BBB penetrance and tumor engagement. To identify cargo shifts indicative of treatment, we exposed four short-term patient derived glioma cell lines to arsenic trioxide (an idiopathic toxin), MLN4924 (a neddylation inhibitor), and the alkylating agent temozolomide, then harvested EVs for unbiased mass spectrometry and RNA sequencing. Interestingly, we identified conserved upregulated and downregulated protein and RNA species across cell lines and across drug treatments, despite the diverse mechanisms of action. Candidate proteins were further validated by mesoscale immunoassays and exoview evaluation of tetraspanin-captured EVs. RNA species were validated by qRT-PCR. Overall, we demonstrate that GBM-derived EV cargo changes in response to therapy, supporting the development of EVs as a reporter of drug delivery in GBM. Ongoing and future work is focused on identifying enrichment handles in order to selectively evaluate GBM-derived EV cargo from patient biofluids. Thus far, B7H3, PTPRZ1, EGFRvII and IL13Ra2 have been screened as putative handles. Success in this pursuit could substantially enhance findings and accelerate drug testing in early-stage clinical trials in brain tumor patients by reporting drug accessibility to the tumor and engagement with drug targets. Citation Format: Valerie DeLuca, Nanyun Tang, Nathaniel Hansen, Anjali Raju, Charles Shaffer, Yue Hao, Terry C. Burns, Jann N. Sarkaria, Ian Parney, Patrick Pirrotte, Kendall Van Keuren-Jensen, Michael E. Berens. Glioblastoma-derived extracellular vesicle cargo as a reporter of drug delivery and effect [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2130.

Abstract Development of a non-invasive test that can measure drug delivery and target engagement in GBM represents an opportunity to enhance knowledge during early phase clinical trials of a new compound’s pharmacological suitability and potential efficacy. We present here data supporting that the cargo within extracellular vesicles (EV) can potentially serve as a liquid biopsy that reports on the pharmacodynamics of GBM therapeutics. We treated short-term PDX cultures with vehicle, temozolomide, MLN4924, or arsenic trioxide. EVs were isolated from culture supernatants using size exclusion chromatography and then analyzed by mass spectrometry (proteomics) and RNA sequencing to characterize and compare cargo profiles for each condition. We found that at the proteome level, FDFT1 and FARSB were detected only in temozolomide EVs across all cell lines. In addition, there were drug-agnostic indications of exposure, including decreased abundance in all treated EV conditions of SLC3A2, C3, PLG, and A1BG, and increased abundance of GSTP1. These cargo changes were further validated by western blotting and ExoView immunofluorescence on isolated EVs. At the EV-transcriptome level, depending on treatment, there were shared alterations in EV cargo between models in the expression of long non-coding RNAs, genes that are overrepresented in biological processes such as cytoplasmic translation and cellular macromolecule biosynthesis, and circular RNAs. Thus, these results indicate that EV cargo post-treatment may be a novel pharmacodynamic reporter in GBM. To allow immunoprecipitation of patient GBM-derived EVs with the selective interrogation, the potential biomarkers, including PTPRZ1, B7H3, IL13RA2, and EGFR were screened across isolated EVs from both pre-clinical and clinical patient samples. Future efforts are focused on evaluating immunoprecipitated GBM-EVs from longitudinally collected patient biofluids. Overall, we anticipate that the results of this study will lead to development of a clinical test that reflects BBB penetration and tumor response, which will likely aid in novel drug development efforts.

Abstract BACKGROUND Selinexor (SEL) is a first-in-class XPO1 inhibitor with potent antitumor activity via tumor suppressor protein nuclear localization and reactivation, oncoprotein translation suppression, and DNA repair inhibition. As a single agent, SEL has demonstrated adequate brain penetration and clinically relevant responses in glioblastoma. We seek to enhance the effect and benefit of SEL by priming with temozolomide (TMZ). METHODS We developed in vitro and in vivo studies to rationally design a phase I/II trial to evaluate the safety and efficacy of the sequential combination of SEL+TMZ. Sequential treatment of U87 cells and intracranial mouse xenografts demonstrated superior DNA damage (ɣH2A.X, cleaved PARP) and overall survival compared to combination or single-agent therapy (HR 0.25 [95% CI, 0.07-0.84]; p = 0.01, log-rank). We used the top-scoring pair method to identify a 6 gene-pair RNAseq signature associated with response to SEL. RESULTS Based on preclinical findings, we developed and opened a multi-institutional phase I/II clinical trial in October 2022. Eligibility includes histologically confirmed 1st recurrent MGMT promoter methylated glioblastoma. Primary objectives are safety and preliminary efficacy. Secondary objectives are overall response rate, efficacy, and prospective validation of a molecular signature of response. Phase I dose finding by IQ 3 + 3 (n = 12) involves TMZ 150mg/m2 on days 1-5 of a 28-day cycle plus SEL on days 8 and 15. Phase II will involve randomization (n = 72) to the RP2D of SEL+TMZ versus monotherapy TMZ. Using proportional hazards regression, RHR 0.5 with p < 0.1 will demonstrate sufficient efficacy. We have enrolled 3 participants in dose level 1 (SEL 60mg) with no dose-limiting toxicities (DLTs) observed. Additional preliminary results will be presented. CONCLUSION Preliminary results suggest that a sequential dosing regimen of SEL+TMZ is feasible and initial dose is well-tolerated and may minimize the cumulative toxicity of SEL. The trial is currently enrolling nationwide (NCI #10505, NCT05432804).

Abstract Glioblastoma (GBM) is a lethal brain tumor with limited treatment options, due in part to the low blood-brain-barrier (BBB) penetrance of many anti-cancer compounds. Development of a non-invasive test that can measure drug delivery and target engagement in GBM represents an opportunity to enhance knowledge during early phase clinical trials of a new compound’s pharmacological suitability and potential efficacy. We present here data supporting that the cargo within extracellular vesicles (EV) can potentially serve as a liquid biopsy that reports on the pharmacodynamics of GBM therapeutics. We treated short-term cell cultures established from four patient-derived xenografts with vehicle, temozolomide, MLN4924, or arsenic trioxide. EVs were isolated from culture supernatants using size exclusion chromatography and then analyzed by RNA sequencing and mass spectrometry (proteomics) to characterize and compare cargo profiles for each condition. We found that depending on treatment, there were shared alterations in EV cargo between models in the expression of long non-coding RNAs, genes that are overrepresented in biological processes such as cytoplasmic translation and cellular macromolecule biosynthesis, and circular RNAs. Mass spectrometry of protein cargo further demonstrated both upregulated and downregulated peptide abundances with treatment compared to vehicle. Thus, our preliminary results indicate that EV cargo post-treatment may be a novel pharmacodynamic reporter in GBM. To allow for the selective interrogation of patient GBM-derived EVs, we have simultaneously pursued the identification of biomarkers to allow for immunoprecipitation of EVs from patient biofluids. Potential biomarkers, including PTPRZ1, B7H3, and IL13RA2, were screened across isolated EVs from both pre-clinical and clinical patient samples. Future efforts are focused on evaluating immunoprecipitated GBM-EVs from longitudinally collected patient biofluids. Overall, we anticipate that the results of this study will lead to development of a clinical test that reflects BBB penetration and tumor response, which will likely aid in novel drug development efforts.

Abstract Glioblastoma (GBM), a lethal astrocytic brain tumor, has limited available treatment options. A major hindrance to the progress of new therapies is the selectivity of the blood brain barrier (BBB) which limits drug access to the tumor. Further, there are currently no minimally-invasive tests that can quickly and accurately determine whether novel therapeutics have crossed the BBB during clinical trials. Therefore, development of a non-invasive test that can identify drug delivery and target engagement in GBM represents an opportunity to enhance knowledge during early phase trials of a new compound’s pharmacological suitability and potential efficacy. This study proposes that cargo contained in GBM-derived extracellular vesicles (EVs), which are small membrane-bound particles released from cells, may serve as one such pharmacodynamic reporter. We analyzed RNA-seq data for EVs isolated from two GBM patient-derived xenograft models grown as short-term in vitro cultures, GBM10 and GBM120, following treatment with either temozolomide (TMZ) or pevonedistat (MLN). We assessed whether EV RNA payloads vary with different drug concentrations (EC50 vs EC80) and at different time points (4hr vs 24hr) post treatment. In the samples treated with MLN, a few long non-coding RNAs are commonly upregulated across the different time points and two models. Under different TMZ concentrations, differentially expressed genes are overrepresented in biological processes such as cytoplasmic translation and cellular macromolecule biosynthesis. We also found a negative correlation between the TMZ concentration and Y RNA expression level, which are functionally involved with DNA replication. Additionally, using CIRI2, we predicted the amount of circular RNAs in the EV cargo; we found that the ratio of circular RNAs to their linear counterparts (CLR) varies under different treatments. In GBM10, the percentage of circRNA with CLR > 1 decreases with increasing drug effect. Thus, our preliminary results indicate that EV cargo post-treatment may be a novel pharmacodynamic reporter in GBM. To apply such an assessment to patients, we have simultaneously pursued the development of an immunoprecipitation (IP) approach to enrich GBM-derived EVs that can then undergo cargo profiling. Potential biomarkers were screened across isolated GBM EVs from in vitro supernatant by western blot and ExoView analysis. B7H3 has emerged as a lead candidate for GBM-EV enrichment. To validate the ability of EV cargo to reflect drug distribution across the BBB in patients, current efforts are focused on applying IP enrichment of GBM-EVs in longitudinally-acquired cerebrospinal fluid samples from patients during their disease course. Overall, we anticipate that the results of this study will lead to development of a clinical test that reflects BBB penetration and tumor response, which will likely aid in novel drug development efforts. Citation Format: Valerie DeLuca, Nanyun Tang, Yue Hao, Anjali Raju, Charles Shaffer, Cecile Riviere-Cazaux, Terry C. Burns, Jann Sarkaria, Ian Parney, Patrick Pirrotte, Kendall Van Keuren-Jensen, Michael E. Berens. Extracellular vesicles as a pharmacodynamic reporter in glioblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2788.

Genome-wide fragmentation patterns in cell-free DNA (cfDNA) in plasma are strongly influenced by cellular origin due to variation in chromatin accessibility across cell types. Such differences between healthy and cancer cells provide the opportunity for development of novel cancer diagnostics. Here, we investigated whether analysis of cfDNA fragment end positions and their surrounding DNA sequences reveals the presence of tumor-derived DNA in blood. We performed genome-wide analysis of cfDNA from 521 samples and analyzed sequencing data from an additional 2147 samples, including healthy individuals and patients with 11 different cancer types. We developed a metric based on genome-wide differences in fragment positioning, weighted by fragment length and GC content [information-weighted fraction of aberrant fragments (iwFAF)]. We observed that iwFAF strongly correlated with tumor fraction, was higher for DNA fragments carrying somatic mutations, and was higher within genomic regions affected by copy number amplifications. We also calculated sample-level means of nucleotide frequencies observed at genomic positions spanning fragment ends. Using a combination of iwFAF and nine nucleotide frequencies from three positions surrounding fragment ends, we developed a machine learning model to differentiate healthy individuals from patients with cancer. We observed an area under the receiver operative characteristic curve (AUC) of 0.91 for detection of cancer at any stage and an AUC of 0.87 for detection of stage I cancer. Our findings remained robust with as few as 1 million fragments analyzed per sample, demonstrating that analysis of fragment ends can become a cost-effective and accessible approach for cancer detection and monitoring.

Abstract Background Tumor heterogeneity underlies resistance and disease progression in glioblastoma (GBM), and tumors most commonly recur adjacent to the surgical resection margins in contrast non-enhancing (NE) regions. To date, no targeted therapies have meaningfully altered overall patient survival in the up-front setting. The aim of this study was to characterize intratumoral heterogeneity in recurrent GBM using bulk samples from primary resection and recurrent samples taken from contrast-enhancing (EN) and contrast NE regions. Methods Whole exome and RNA sequencing were performed on matched bulk primary and multiple recurrent EN and NE tumor samples from 16 GBM patients who received standard of care treatment alone or in combination with investigational clinical trial regimens. Results Private mutations emerge across multi-region sampling in recurrent tumors. Genomic clonal analysis revealed increased enrichment in gene alterations regulating the G2M checkpoint, Kras signaling, Wnt signaling, and DNA repair in recurrent disease. Subsequent functional studies identified augmented PI3K/AKT transcriptional and protein activity throughout progression, validated by phospho-protein levels. Moreover, a mesenchymal transcriptional signature was observed in recurrent EN regions, which differed from the proneural signature in recurrent NE regions. Conclusions Subclonal populations observed within bulk resected primary GBMs transcriptionally evolve across tumor recurrence (EN and NE regions) and exhibit aberrant gene expression of common signaling pathways that persist despite standard or targeted therapy. Our findings provide evidence that there are both adaptive and clonally mediated dependencies of GBM on key pathways, such as the PI3K/AKT axis, for survival across recurrences.

Abstract Purpose: Glioblastoma is the most frequent and lethal primary brain tumor. Development of novel therapies relies on the availability of relevant preclinical models. We have established a panel of 96 glioblastoma patient-derived xenografts (PDX) and undertaken its genomic and phenotypic characterization. Experimental Design: PDXs were established from glioblastoma, IDH-wildtype (n = 93), glioblastoma, IDH-mutant (n = 2), diffuse midline glioma, H3 K27M-mutant (n = 1), and both primary (n = 60) and recurrent (n = 34) tumors. Tumor growth rates, histopathology, and treatment response were characterized. Integrated molecular profiling was performed by whole-exome sequencing (WES, n = 83), RNA-sequencing (n = 68), and genome-wide methylation profiling (n = 76). WES data from 24 patient tumors was compared with derivative models. Results: PDXs recapitulate many key phenotypic and molecular features of patient tumors. Orthotopic PDXs show characteristic tumor morphology and invasion patterns, but largely lack microvascular proliferation and necrosis. PDXs capture common and rare molecular drivers, including alterations of TERT, EGFR, PTEN, TP53, BRAF, and IDH1, most at frequencies comparable with human glioblastoma. However, PDGFRA amplification was absent. RNA-sequencing and genome-wide methylation profiling demonstrated broad representation of glioblastoma molecular subtypes. MGMT promoter methylation correlated with increased survival in response to temozolomide. WES of 24 matched patient tumors showed preservation of most genetic driver alterations, including EGFR amplification. However, in four patient–PDX pairs, driver alterations were gained or lost on engraftment, consistent with clonal selection. Conclusions: Our PDX panel captures the molecular heterogeneity of glioblastoma and recapitulates many salient genetic and phenotypic features. All models and genomic data are openly available to investigators.

Male and female glioblastomas are biologically distinct, and improving outcomes may require sex-specific approaches to treatment.