Jung, M. Katherine

Alterations in cellular metabolism are known to play critical roles in a variety of normal as well as pathological processes, including (but not limited to) cancer, hepatic steatosis, and cell differentiation. While TGFβ is routinely considered a pleotropic cytokine due to its ability to impact numerous diseases and biological phenotypes, the role of metabolism in profibrotic TGFβ signaling is relatively unexplored/unknown. Fatty Acid Synthase (FASN) is the primary anabolic enzyme responsible for the de novo synthesis of fatty acids. Renewed interest in FASN has been sparked by the recognition of the critical inter‐relation of metabolic dysregulation and tumor progression with the findings that (i) FASN levels are significantly increased in numerous human tumors including breast, prostate, colorectal, and ovarian; and (ii) the efficacy of ErbB receptor inhibitors is enhanced by inhibiting FASN activity. In the current study we show that FASN expression is regulated by TGFβ in multiple murine and human fibroblasts, required for profibrotic TGFβ signaling, and, most importantly, treatment with C75 ((trans‐4‐carboxy‐5‐octyl‐3‐methylenebutyrolactone, a novel cerulenin‐derived semi‐synthetic FASN inhibitor) abrogates pathologic and physiologic changes in a murine model of lung fibrosis. Support or Funding Information This work was supported by Public Health Service grants GM‐055816 and GM‐054200 from National Institutes of General Medical Sciences.

Abstract Background Glioblastoma (GBM) is the most common malignant brain tumor and has a poor prognosis. Imaging findings at diagnosis and in response to treatment are nonspecific. Developing noninvasive assays to augment imaging would be helpful. Plasma extracellular vesicles (EVs) are a promising biomarker source for this. Here, we develop spectral flow cytometry techniques that demonstrate differences in bulk plasma EV phenotype between GBM patients and normal donors that could serve as the basis of a liquid biopsy. Methods Plasma EVs were stained for EV-associated tetraspanins (CD9/CD63/CD81), markers indicating cell of origin (CD11b/CD31/CD41a/CD45), and actin/phalloidin (to exclude cell debris). EVs were analyzed using spectral flow cytometry. Multiparametric analysis using t-distributed stochastic neighbor embedding (t-SNE) and self-organizing maps on flow cytometry data (FlowSOM) was performed comparing GBM and normal donor (ND) plasma EVs. Results Size exclusion chromatography plus spectral-based flow cytometer threshold settings enriched plasma EVs while minimizing background noise. GBM patients had increased CD9+, CD63+, CD81+, and myeloid-derived (CD11b+) EVs. Multiparametric analysis demonstrated distinct surface marker expression profiles in GBM plasma EVs compared to ND EVs. Fifteen plasma EV sub-populations differing in size and surface marker expression were identified, six enriched in GBM patients and two in normal donors. Conclusions Multiparametric analysis demonstrates that GBM patients have a distinct nonneoplastic plasma EV phenotype compared to ND. This simple rapid analysis can be performed without purifying tumor EVs and may serve as the basis of a liquid biopsy.

Abstract INTRODUCTION: Plasma extracellular vesicles (EVs) have been shown as a promising source for biomarker identification in glioblastoma (GBM) and could help differential diagnosis, treatment evaluation and tumor progression monitoring. These EVs are enriched in molecular signatures indicative of their cell origins, giving an indication of the key players in this pathology. In this project, we aimed to identify diagnostic biomarkers for GBM plasma EVs and their cells of origin. METHODS: Plasma EV samples were prepared following the MIFlowCyt-EV guideline of the International Society for Extracellular Vesicles, then stained for EV markers (CD9/CD63/CD81) and markers indicative of cell origins (CD31/CD45/CD41a/CD11b). Actin phalloidin was used as a negative marker. Stained plasma samples were analyzed using a Cytek Aurora flow cytometer. Percentages of different EV subpopulations were analyzed and compared between GBM and normal donor (ND) plasma EVs (reference group). Further clustering analysis was performed on EV events by t-distributed stochastic neighbor embedding (t-SNE) and self-organizing maps on flow cytometry data (FlowSOM) analysis. The predictive value of multiparametric qualities derived from the reference group was tested in blinded test group samples. RESULTS: Percentages of CD9, CD81, and CD11b positive EVs were higher in GBM patient plasma, while ND plasma had more CD41a positive EVs. GBM plasma EVs had unique multiparametric signatures compared to ND plasma EVs based on t-SNE and FlowSOM analysis. Our analysis also identified 15 distinct EV subpopulations which differed in size and various surface marker expression levels. Eight of these subpopulations were enriched for GBM EVs, while three were enriched for ND EVs. Our method of multiparametric analysis demonstrates high sensitivity and specificity in predicting disease status in human samples. CONCLUSIONS: GBM plasma EVs have a unique surface marker expression profile and distinct EV subpopulations compared to ND plasma EVs. Multiparametric signatures show promise as potential diagnostic markers of GBM.

2038 Background: Glioblastoma (GBM) is the most common malignant brain tumor with poor clinical prognosis. Management of GBM is hampered by the lack of an accurate test that can be used for differential diagnosis of tumor progression from inflammatory pseudoprogression. Plasma extracellular vesicles (EVs) has been shown to be a promising source for biomarker identification. In this project, we aimed to identify GBM plasma EV markers that could serve as the basis of a liquid biopsy. Methods: Sample preparation, assay controls and instrument calibration were performed following MIFlowCyt-EV guideline. Plasma samples were subjected to 2-step centrifugations to remove cell debris and platelets. 10ul of plasma sample was diluted with 90ul filtered PBS, then stained for EV surface markers including CD9, CD31, CD45, CD41a and CD11b, as well as actin phalloidin. Stained plasma samples were purified using IZON qEV1/70nm column, then EV fractions were analyzed using full spectrum Cytek Aurora flow cytometer. Clustering analysis was performed on EV events (CD9 +/ actin phalloidin -) using t-SNE and FlowSOM extensions from FlowJo plugins. Results: Compared to normal donors, GBM plasma EVs were bigger in size (higher SSC value) and expressed higher levels of CD9, CD31, CD45 and CD11b while ND plasma EVs had higher CD41a expression. t-SNE and FlowSOM analysis demonstrated that GBM plasma EVs had a unique surface marker expression profile compared to ND EVs. It also showed 10 EV sub-populations that differed in size as well as various surface marker expression levels. Four of these subpopulations were enriched in GBM EVs, while three of these were enriched in ND EVs. Conclusions: This multiparametric analysis revealed that GBM plasma EVs had a unique surface marker expression profile compared to ND plasma EVs. Further separation and molecular profiling analysis based on each sub population could reveal EV biomarkers that are unique to each sample population.

Abstract Background Glioblastoma (GBM), the most common primary brain tumor, has a median survival of 15–16 months. Immunotherapy is promising but GBM-mediated immunosuppression remains a barrier. GBMs express the interferon-gamma (IFN-γ)-responsive immunosuppressive molecules programmed cell death ligand 1 (PD-L1) and indoleamine 2,3-dioxygenase 1 (IDO1). Extracellular vesicles (EVs) have also been implicated in GBM-mediated immunosuppression, in part through PD-L1. We therefore sought to determine if GBM IFN-γ exposure increased GBM EV-mediated immunosuppression and mechanisms underlying this. Methods Human GBM-derived cells were cultured in the presence/absence of IFN-γ. EVs were harvested. PD-L1, IDO1, and EV-associated protein expression was assessed. GBM EVs (+/−IFN-γ) were cultured with healthy donor monocytes. Immunosuppressive myeloid-derived suppressor cell (MDSC) and nonclassical monocyte (NCM) frequency was determined. Impact of GBM (+/−IFN-γ) EV-treated monocytes on CD3/CD28-mediated T cell proliferation was assessed. The impact of PD-L1 and IDO1 knockdown in GBM EVs in this system was evaluated. Results IFN-γ exposure increased PD-L1 and IDO1 expression in GBM cells and EVs without altering EV size or frequency. IFN-γ-exposed GBM EVs induced more MDSC and NCM differentiation in monocytes and these monocytes caused more T cell inhibition than IFN-γ-naive GBM EVs. PD-L1 and/or IDO1 knockdown in GBM cells abrogated the immunosuppressive effects of IFN-γ-exposed GBM EVs on monocytes. Conclusions IFN-γ exposure such as might occur during an antitumor immune response results in superinduction of GBM EVs’ baseline immunosuppressive effects on monocytes. These effects are mediated by increased PD-L1 and IDO1 expression in GBM EVs. These data highlight mechanisms of GBM EV-mediated immunosuppression and identify therapeutic targets (PD-L1, IDO1) to reverse these effects.

Abstract Glioblastoma (GBM) is the most common and deadly primary brain tumor. Novel therapeutic strategies are urgently needed to improve outcomes, but a number of disease-specific barriers pose challenges to innovation. Tumor-mediated immunosuppression is one such hurdle, and a growing body of evidence suggests that GBM-derived extracellular vesicles (EVs) play an important role in host immunosuppression. GBM-derived EVs have been shown to induce the formation of immunosuppressive monocytes, including myeloid-derived suppressor cells. Work by our group and others has increasingly shown that these immunosuppressive monocytes are a heterogenous group, and that many constellations of surface markers are inadequate to capture the changes wrought by EVs. In order to better understand the effects of GBM-EVs on monocytes, we conducted RNA-seq analysis on monocytes collected from four healthy donors treated with GBM-derived EVs harvested by ultracentrifugation from the patient-derived BT116 cell line. Following 72h of EV conditioning, total RNA was harvested from treated monocytes and untreated controls. RNA-seq was performed using the Illumina HiSeq4000 platform with paired end index reads. Analysis was performed using RNA STAR and the hg19 ENCODE reference sequence. Differential expression analysis was performed using DESeq2. Genes with a false-discovery rate (FDR)-corrected P value < 0.05 and a log2 fold-change value of >|1| were considered significantly different between groups. Pathway analysis was performed using ClueGO in Cytoscape (GO term fusion on, p< 0.05). Unsupervised clustering analysis of the top 500 most differentially-expressed genes demonstrated grouping of BT116 EV-treated monocytes together versus untreated monocytes. Pathway analysis upregulated genes in pathways important for heparan sulfate proteoglycan synthesis and cholesterol synthesis, which could potentially point to positive regulation of EV uptake. Downregulated pathways included regulation of T cell differentiation and chemoattractant activity, underscoring the induction of a potentially immunosuppressive phenotype by GBM-derived EVs.

Abstract Patients with glioblastoma (GBM) have a median survival of 15 months despite aggressive treatment. Immunosuppressive monocytes are heavily infiltrated in these tumors and in patients’ circulation. Treatment-related pseudo-progression confounds outcome assessment by MRI. Thus, there is a need for additional non-invasive methods to assess treatment response. Extracellular vesicles (EVs) contain tumor-specific microRNA (miRNA) cargo that could serve as a liquid biopsy to distinguish true progression from treatment-related pseudo-progression. We had found significant differences in plasma EVs molecular profile (i.e. miRNA signatures) between GBM patients and healthy donors. Our overall hypothesis is that these differences reflect the EVs cell of origin. Our goal in this project was to develop a fluorescent staining paradigm by flow cytometry to distinguish EVs from different cells in vitro and determine differences in EV miRNA expression profile between GBM and monocytic cell-derived EVs. Gleolan (5-ALA) is an FDA-approved orally available agent for fluorescence-guided resection of GBM tumors. It is metabolized to protoporphyrin IX (PpIX) in GBM cells but not in non-neoplastic cells and has been reported to aid in the detection of GBM-derived EVs by flow cytometry. However, distinguishing between GBM-derived EVs and EVs from other cells of origin has not been described. We co-cultured human GBM cells (dBT114 or dBT116) and CD14+ monocytes for 72 hours in the presence or absence of 5-ALA. EVs were isolated by ultracentrifugation and stained for CD11b (myeloid cell marker). ImageStream Imaging Flow Cytometry was performed showing clear differentiation between PpIX+ EVs from GBM cells and CD11b+ EVs from monocytes. Interestingly, a small number of double-positive EVs (presumably representing monocyte-derived EVs that had taken up PpIX after phagocytizing GBM cells) were also present. Taken together, we were able to optimize a technique to distinguish EVs originating from GBM and monocytes for further characterization by short non-coding RNA sequencing.

Abstract Background Most glioblastomas recur near prior radiation treatment sites. Future clinical success will require achieving and optimizing an “abscopal effect,” whereby unirradiated neoplastic cells outside treatment sites are recognized and attacked by the immune system. Radiation combined with anti–programmed cell death ligand 1 (PD-L1) demonstrated modest efficacy in phase II human glioblastoma clinical trials, but the mechanism and relevance of the abscopal effect during this response remain unknown. Methods We modified an immune-competent, genetically driven mouse glioma model (forced platelet derived growth factor [PDGF] expression + phosphatase and tensin homolog loss) where a portion of the tumor burden is irradiated (PDGF) and another unirradiated luciferase-expressing tumor (PDGF + luciferase) is used as a readout of the abscopal effect following systemic anti–PD-L1 immunotherapy. We assessed relevance of tumor neoepitope during the abscopal response by inducing expression of epidermal growth factor receptor variant III (EGFRvIII) (PDGF + EGFRvIII). Statistical tests were two-sided. Results Following radiation of one lesion, anti–PD-L1 immunotherapy enhanced the abscopal response to the unirradiated lesion. In PDGF-driven gliomas without tumor neoepitope (PDGF + luciferase, n = 8), the abscopal response occurred via anti–PD-L1 driven, extracellular signal-regulated kinase–mediated, bone marrow–derived macrophage phagocytosis of adjacent unirradiated tumor cells, with modest survival implications (median survival 41 days vs radiation alone 37.5 days, P = 0.03). In PDGF-driven gliomas with tumor neoepitope (PDGF + EGFRvIII, n = 8), anti–PD-L1 enhanced abscopal response was associated with macrophage and T-cell infiltration and increased survival benefit (median survival 36 days vs radiation alone 28 days, P = 0.001). Conclusion Our results indicate that anti–PD-L1 immunotherapy enhances a radiation- induced abscopal response via canonical T-cell activation and direct macrophage activation in glioblastoma.

Abstract Glioblastoma (GBM) is the most common and aggressive primary brain tumor. Median survival is 15 months despite surgery, radiation, and chemotherapy. Immunotherapy is promising but GBM-mediated immunosuppression remains a barrier. Recently, extracellular vesicles (EVs) have been implicated in GBM-mediated immunosuppression through expression of the immune checkpoint molecule PD-L1. Data from our group has suggested this is predominantly through induction of immunosuppressive monocytes including myeloid-derived suppressor cells (MDSCs) and non-classical monocytes (NCMs). PD-L1 expression is increased in most nucleated cells following IFN-γ exposure. We, therefore, sought to determine if IFN-γ exposure would result in super-induction of immunosuppressive GBM EVs. EVs were harvested in vitro from matched differentiated and stem-like human GBM cell lines +/- IFN-γ. IFN-γ exposure did not alter EV production or expression of common EV markers but increased PD-L1 expression in EVs from differentiated but not stem-like GBM cells. In keeping with our earlier findings, no direct inhibition of T cell proliferation by stem-like or differentiated GBM EVs was observed regardless of IFN-γ exposure or PD-L1 expression. In contrast, differentiated but not stem-like GBM cell EVs induced MDSC and NCM differentiation from normal monocytes. This was increased following IFN-γ exposure and was dependent upon PD-L1 expression. Monocytes exposed to differentiated but not stem-like GBM cell EVs inhibited T cell proliferation in a similar manner (increased with IFN-γ exposure, decreased with PD-L1 knockdown). Thus, IFN-γ exposure results in super-induction of immunosuppressive EVs from differentiated but not stem-like GBM cells that increase MDSC and NCM differentiation in normal monocytes and increase their ability to inhibit T cell proliferation. These effects are dependent upon PD-L1 up-regulation induced by IFN-γ. This may be an important mechanism GBMs utilize to suppress anti-tumor T cell responses that are typically accompanied by increased IFN-γ expression.

Abstract Glioblastoma (GBM) is the most common and lethal primary brain tumor, and novel therapeutic strategies that make a substantial impact on outcomes are sorely needed. Immunotherapies have shown great promise in the treatment of a number of cancers in recent year, and a concerted effort is being made to apply these treatment paradigms to GBM. However, many GBM patients exhibit profound immunosuppression, likely limiting the efficacy of such approaches. The mechanisms of this immunosuppression are poorly understood, but tumor-derived extracellular vesicles (EVs), may play a role. We demonstrate that GBM-derived EVs induce the development of myeloid-derived suppressor cells (MDSCs) and non-classical monocytes (NCMs). We further demonstrate that these EV-induced monocytic cells are immunosuppressive, resulting in impaired T cell proliferation upon co-culture. We found that the immunosuppressive effects of tumor-derived EVs appear to be driven by the induction of these immunosuppressive monocytes, as EV treatment of T cells did not significantly impact T cell proliferation. Further, we sought to characterize the important of programmed death ligand 1 (PD-L1) in the induction of these immunosuppressive monocyte populations. We found PD-L1 to be expressed in the EVs from GBM cell lines, and that modulation in PD-L1 expression via either constitutive overexpression or shRNA-mediated knockdown resulted in concordant changes in expression in tumor-derived EVs. We demonstrate that PD-L1 is important for the induction of NCM but not for MDSCs. Taken together, these findings point to a significant role for tumor-derived EVs in the induction of immunosuppressive monocytes in GBM, and that these cells may be a driving force of systemic immunosuppression. PD-L1 is one factor expressed in EVs that has immunomodulatory properties, but additional EV cargo likely plays a major role in the induction of immunosuppressive cells.