Riviere-Cazaux, Cécile

BACKGROUND AND OBJECTIVES: No new drug has improved survival for glioblastoma since temozolomide in 2005, due in part to the relative inaccessibility of each patientʼs individualized tumor biology and its response to therapy. We have identified a conserved extracellular metabolic signature of enhancing high-grade gliomas enriched for guanidinoacetate (GAA). GAA is coproduced with ornithine, the precursor to protumorigenic polyamines through ornithine decarboxylase (ODC). AMXT-1501 is a polyamine transporter inhibitor that can overcome tumoral resistance to the ODC inhibitor, difluoromethylornithine (DFMO). We will use DFMO with or without AMXT-1501 to identify candidate pharmacodynamic biomarkers of polyamine depletion in patients with high-grade gliomas in situ . We aim to determine (1) how blocking polyamine production affects intratumoral extracellular guanidinoacetate abundance and (2) the impact of polyamine depletion on the global extracellular metabolome within live human gliomas in situ. METHODS: DFMO, with or without AMXT-1501, will be administered postoperatively in 15 patients after clinically indicated subtotal resection for high-grade glioma. High–molecular weight microdialysis catheters implanted into residual tumor and adjacent brain will be used for postoperative monitoring of extracellular GAA and polyamines throughout therapeutic intervention from postoperative day (POD) 1 to POD5. Catheters will be removed on POD5 before discharge. EXPECTED OUTCOMES: We anticipate that GAA will be elevated in tumor relative to adjacent brain although it will decrease within 24 hours of ODC inhibition with DFMO. If AMXT-1501 effectively increases the cytotoxic impact of ODC inhibition, we expect an increase in biomarkers of cytotoxicity including glutamate with DFMO + AMXT-1501 treatment when compared with DFMO alone. DISCUSSION: Limited mechanistic feedback from individual patientsʼ gliomas hampers clinical translation of novel therapies. This pilot Phase 0 study will provide in situ feedback during DFMO + AMXT-1501 treatment to determine how high-grade gliomas respond to polyamine depletion.

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.

Abstract Gliomas are genomically heterogeneous tumors that may harness a convergent and therapeutically targetable set of metabolic pathways. At present, the metabolic landscape of in situ human gliomas remains incompletely characterized, hampering translational progress. To that end, we are leveraging the previously untapped potential of high molecular weight microdialysis to determine the global extracellular metabolic profiles of live human gliomas. Under an investigational device exemption, HMW microdialysis (< 100 kDa) was performed at 2.0 μL/min in an initial discovery cohort of five patients in glioma and adjacent brain during neurosurgical resection; a subsequent cohort of five patients was independently analyzed to critically evaluate results from the discovery group. Untargeted metabolomics via ultra-performance liquid chromatography-tandem mass spectrometry revealed over 300 named metabolites and five drugs from only 20 μL of microdialysate, representing a short and feasible 10 minutes of intraoperative collection time. Enrichment analysis of each patient’s tumor vs. brain ranked extracellular metabolome highlighted marked metabolic convergence within the most aggressive regions of molecular diverse tumors (FDR = 0). Pathway analysis revealed significant enrichment for large neutral amino acid pathways, including valine, leucine, and isoleucine biosynthesis (p=1.6E-9) and degradation (p=0.001) and glycine, serine, and threonine metabolism (p=4.7E-5). Notably, this amino acid signature was not as abundantly present in nonenhancing tumor when compared to enhancing tumor (Average tumor/brain: 1.9x vs. 4.3x, respectively), suggesting upregulation of neutral amino acid transporters in enhancing tumor or delivery from plasma into the CNS via a disrupted BBB. Interestingly, guanidinoacetate (GAA) was our most highly conserved and upregulated metabolite (128.9x in tumor vs. brain). Given its co-production with ornithine, the precursor to protumorigenic polyamines, we posit that GAA may serve as a biomarker of increased ODC activity in live human gliomas. In conclusion, intraoperative HMW microdialysis feasibly offers improved opportunities to perform glioma metabolic biomarker and therapeutic discovery.

Abstract The relative inaccessibility of a patient’s glioma throughout their disease course precludes individualized insights into tumor biology and responses thereof to therapeutic challenge. We propose that serial cerebrospinal fluid (CSF) samples can be used to perform glioma espionage in the form of biomarker discovery for analytes that are sensitive to tumor burden (for monitoring) and candidate therapies (for biological impact). To that end, we are routinely leveraging neurosurgical access to the CNS to collect CSF samples intraoperatively and from chronically implanted Ommaya reservoirs for longitudinal CSF access (NCT04692337, NCT04692324). Global proteomic analysis of CSF was performed on the Somalogic platform – an aptamer-based technology for highly sensitive and specific analysis of over 7,000 proteins. Using each patient’s ranked protein list (glioma vs. 3 control patients), enrichment analysis was performed in a discovery cohort of five patients to identify conserved proteins of glioma. To reveal candidate glioma monitoring, further enrichment analysis was performed to identify proteins that decreased with resection and increased with recurrence, using two sets of paired patient samples. Forty-four proteins met these enrichment criteria; this candidate high-grade glioma proteomic signature was highly significantly enriched in an independent cohort of twelve glioma patients (FDR=0 for all patients). The HGG signature decreased in abundance following resection in serial samples from two other patients, confirming decreased tumor burden. Top proteins included LANC2, DPYL3, Sorcin, Integrin A1B1, and lactate dehydrogenase (FC of glioma vs. control: 145.3x, 113.9x, 78.0x, 71.6x, and 62.7x, respectively). Interestingly, despite having explicitly chosen samples with little-to-no hemoglobin in the discovery cohort, this HGG signature was highly enriched for plasma-like proteins (FDR=0), suggesting a potential biological impact of blood-brain barrier disruption on the glioma extracellular proteome. In conclusion, our data demonstrate that the glioma extracellular proteome can feasibly be accessed to perform biomarker discovery (“espionage”) via serially-acquired CSF samples.

Abstract AIMS Rapid, detailed feedback is needed to understand the individualized biological impacts of novel glioma therapies. We are performing glioma biomarker discovery by serial cerebrospinal fluid (CSF) sampling from Ommaya reservoirs to determine how the CSF proteome can reveal early longitudinal intelligence regarding glioma status, biology, and therapeutic response. METHOD Global proteomic analysis of CSF was performed on the Somalogic platform – an aptamer-based technology for highly sensitive and specific analysis of over 7,000 proteins. Discovery analysis comprised of the top-500 ranked proteins in CSF from seven patients with high-grade gliomas (HGG) versus non-glioma controls. The top-500 HGG proteins were then preliminarily filtered to include only proteins that met two additional criteria of decrease with resection and increase with recurrence in individual paired patient samples. RESULTS Proteomic enrichment analysis revealed a conserved HGG CSF proteomic signature defined by 79 proteins, including ones known to be over-expressed in solid tumor malignancies, such as retinoblastoma binding protein 4, heat shock protein 90, and sorcin. The HGG proteomic signature was consistently enriched in an independent validation cohort consisting of 13 gliomas diverse in primary versus recurrent status, subtype, and grade, when compared to control CSF samples. Encouragingly, proteins in the HGG signature decreased in the two patients for whom CSF was collected prior to and after resection (both at POD16 and POD18) with decreased tumor burden. CONCLUSION Our data demonstrate the ability to gain detailed, individualized insights regarding glioma biology, tumor burden, and evolution through global CSF proteomics acquired from longitudinal access to gliomas via Ommaya reservoirs.

Abstract Background The development of novel glioma therapies necessitates rapid, longitudinal, and individualized feedback from each patient's tumor. Due in part to the relative inaccessibility of dynamic gliomas, little information is available regarding mechanisms of in situ therapeutic response and resistance which may be needed to iteratively develop candidate therapies and combinations thereof. To address this challenge, we are performing glioma biomarker discovery by serial cerebrospinal fluid (CSF) sampling from Ommaya reservoirs to determine how the CSF proteome can reveal early longitudinal intelligence regarding glioma status, biology, and therapeutic response. Material and Methods Global proteomic analysis of CSF was performed on the Somalogic platform -- an aptamer-based technology for highly sensitive and specific analyses of over 7,000 proteins. Discovery analysis comprised of the top-500 ranked proteins in CSF from seven patients with high-grade gliomas (HGG) versus non-glioma controls. The top-500 HGG proteins were then preliminarily filtered to include only proteins that met two additional criteria: 1) decrease with lower tumor burden as defined by tumor resection, and 2) increase with greater tumor burden as defined by recurrence in individual paired patient samples. Results Proteomic enrichment analysis revealed a conserved HGG CSF proteomic signature defined by 79 proteins, including ones known to be over-expressed in solid tumor malignancies, such as retinoblastoma binding protein 4, heat shock protein 90, and sorcin. When queried in an independent validation cohort, the HGG proteomic signature was consistently enriched across 13 gliomas diverse in primary versus recurrent status, subtype, and grade, when compared to control CSF samples. In two patients for whom CSF was available prior to and immediately after resections, proteins in the HGG signature decreased as indicated by a lower tumor burden. Interestingly, the glioma CSF proteomic signature was highly enriched for blood-associated proteins (as defined by two paired sets of CSF samples with low vs. high hemoglobin), despite these patients' samples containing little-to-no hemoglobin proteins. Conclusion Global CSF proteomics acquired from longitudinal neurosurgical access to unique gliomas has the promise to yield biomarkers which may be used to gain insights regarding glioma biology, tumor burden, and evolution throughout a patient's disease and treatment course.

Abstract Gliomas may leverage alternate metabolic pathways in response to metabolism-targeted therapeutic intervention, all of which remain unexplored in the live human glioma, in situ. Defining emergent mechanisms of metabolic resistance in response to therapeutic challenge can help guide rational combinatorial therapies. To date, the metabolic response of gliomas in response to therapeutic intervention has remained poorly understood due to the relative inaccessibility of the live human tumor, in situ. Microdialysis is an underutilized tool that could be leveraged to overcome this longstanding challenge. Data from our ongoing intraoperative microdialysis trial have revealed an upregulation of polyamine metabolism and a novel glioma-associated metabolite, guanidinoacetate (GAA) -- a metabolite co-produced with ornithine, which is required for polyamine synthesis. In a Phase 0 trial, we will evaluate in situ glioma responses to polyamine depletion (difluoromethylornithine, DFMO) with or without blockade of polyamine uptake (AMXT 1501) to identify candidate extracellular biomarkers of target engagement and cytotoxicity in fifteen post-operative patients who have undergone a standard-of-care planned subtotal resection for high-grade glioma. Intraoperatively, high-molecular-weight catheters will be implanted into the residual tumor and brain adjacent to the resection cavity for post-operative longitudinal monitoring of extracellular metabolites via microdialysis. Polyamines and guanidinoacetate, a candidate biomarker of glioma-upregulated polyamine synthesis, will be monitored throughout therapeutic intervention from post-operative day (POD) 1 to POD5 via longitudinal microdialysis to determine live in situ glioma pharmacodynamic responses to polyamine depletion. Catheters will be removed on post-operative day five prior to discharge. We hypothesize that GAA will reflect local tumor production of polyamine metabolism. Additionally, in situ microdialysis in Phase 0 trials will allow for pharmacodynamic and pharmacokinetic, in addition to metabolic, monitoring, an opportunity which is rarely afforded in most clinical trials due to lack of access to the CNS.

Abstract INTRODUCTION Rapid, detailed feedback is needed to understand the individualized biological impacts of novel glioma therapies. We are performing glioma biomarker discovery by serial cerebrospinal fluid (CSF) sampling from Ommaya reservoirs to determine how the CSF proteome can reveal early longitudinal intelligence regarding glioma status, biology, and therapeutic response. METHODS Global proteomic analysis of CSF was performed on the Somalogic platform − an aptamer-based technology for highly sensitive and specific analysis of over 7,000 proteins. Discovery analysis comprised of the top-500 ranked proteins in CSF from seven patients with high-grade gliomas (HGG) versus non-glioma controls. The top-500 HGG proteins were then preliminarily filtered to include only proteins that met two additional criteria of decrease with resection and increase with recurrence in individual paired patient samples. RESULTS Proteomic enrichment analysis revealed a conserved HGG CSF proteomic signature defined by 79 proteins, including ones known to be over-expressed in solid tumor malignancies, such as retinoblastoma binding protein 4, heat shock protein 90, and sorcin. The HGG proteomic signature was consistently enriched in an independent validation cohort consisting of 13 gliomas diverse in primary versus recurrent status, subtype, and grade, when compared to control CSF samples. Encouragingly, proteins in the HGG signature decreased in the two patients for whom CSF was collected prior to and after resection (both at POD16 and POD18) with decreased tumor burden. CONCLUSION Our preliminary data demonstrate the ability to gain detailed, individualized insights regarding glioma biology, tumor burden, and evolution through global CSF proteomics acquired from longitudinal neurosurgical access to unique gliomas.

Abstract PURPOSE: A subset of pediatric, adolescent and young adult (AYA) gliomas are located in the brainstem, eloquent locations, or present with diffuse/leptomeningeal disease, and are associated with high risk and low yield of biopsy. At the same time, accurate molecular diagnosis is necessary to direct optimal therapy. In such cases, analysis of cell free DNA (cfDNA) form cerebral spinal fluid (CSF) may represent a diagnostic alternative to biopsy. METHODS: We investigated the utility of CSF cfDNA sequencing through a stepwise approach, using clinically validated, targeted molecular assays. Testing was performed using a broad hybrid capture next generation sequencing assay (MSK-IMPACT) and subsequent targeted digital droplet PCR in a subset of cases. RESULTS: We analyzed 17 CSF samples from 17 pediatric (n=6) and AYA (n=11) glioma patients with primary or recurrent disease. Thirteen had tumors located within the brainstem, and four had leptomeningeal involvement. Somatic alterations were detected in 12/17 samples (71%). In 3/4 patients with leptomeningeal involvement, cfDNA testing revealed a BRAF fusion consistent with the diagnosis of diffuse leptomeningeal glioneuronal tumor (DLGNT). Among the 13 patients with brainstem involvement, four had somatic H3 K27M mutations, three had IDH mutations, and one had TP53 and ATRX mutations; five patients had no detectable mutations. CONCLUSION: In our analysis, we found that established glioma hotspot mutations were able to be detected within the CSF. We propose that in patients for whom tissue biopsy is high risk, not feasible, or tissue was nondiagnostic, CSF cfDNA sequencing has a substantial diagnostic yield and should be considered as a valuable novel diagnostic tool. Ongoing research is aiming to further increase the sensitivity of cfDNA testing, especially in patients with very low levels of CSF cfDNA.