Poor Prognosis Of Glioblastoma Research Articles

PRMT6 facilitates EZH2 protein stability by inhibiting TRAF6-mediated ubiquitination degradation to promote glioblastoma cell invasion and migration

Invasion and migration are the key hallmarks of cancer, and aggressive growth is a major factor contributing to treatment failure and poor prognosis in glioblastoma. Protein arginine methyltransferase 6 (PRMT6), as an epigenetic regulator, has been confirmed to promote the malignant proliferation of glioblastoma cells in previous studies. However, the effects of PRMT6 on glioblastoma cell invasion and migration and its underlying mechanisms remain elusive. Here, we report that PRMT6 functions as a driver element for tumor cell invasion and migration in glioblastoma. Bioinformatics analysis and glioma sample detection results demonstrated that PRMT6 is highly expressed in mesenchymal subtype or invasive gliomas, and is significantly negatively correlated with their prognosis. Inhibition of PRMT6 (using PRMT6 shRNA or inhibitor EPZ020411) reduces glioblastoma cell invasion and migration in vitro, whereas overexpression of PRMT6 produces opposite effects. Then, we identified that PRMT6 maintains the protein stability of EZH2 by inhibiting the degradation of EZH2 protein, thereby mediating the invasion and migration of glioblastoma cells. Further mechanistic investigations found that PRMT6 inhibits the transcription of TRAF6 by activating the histone methylation mark (H3R2me2a), and reducing the interaction between TRAF6 and EZH2 to enhance the protein stability of EZH2 in glioblastoma cells. Xenograft tumor assay and HE staining results showed that the expression of PRMT6 could promote the invasion of glioblastoma cells in vivo, the immunohistochemical staining results of mouse brain tissue tumor sections also confirmed the regulatory relationship between PRMT6, TRAF6, and EZH2. Our findings illustrate that PRMT6 suppresses TRAF6 transcription via H3R2me2a to enhance the protein stability of EZH2 to facilitate glioblastoma cell invasion and migration. Blocking the PRMT6-TRAF6-EZH2 axis is a promising strategy for inhibiting glioblastoma cell invasion and migration.

Transcriptional mechanisms of phenotypic plasticity in glioblastoma.

e14027 Background: Primary glioblastoma (GBM) tumor cells exhibit plasticity and can adopt different cellular states that exhibit dynamic transitions between states. This could be one of the mechanisms for treatment escape and leads to poor prognosis in GBM. In this regard, we sought to uncover transcriptional regulatory mechanisms responsible for this phenotypic plasticity in GBM. Methods: Standard of care (SOC) treatment (radiation and temozolomide) modulates transcriptional regulatory networks (TRNs) of the tumor cells and drives treatment resistance. Since TRNs could be key mechanistic drivers for state transitions, integrated single-cell RNA sequencing (scRNAseq) data of primary and relapse patient samples (11) were analyzed with scMINER. Our method uses a systems biology framework to identify cell states (St_1 to St_n) in terms of regulatory networks and their activities. Clustering of co-regulated gene modules (regulons), enabled the identification of transcriptional programs and regulatory mechanisms that specify tumor cell states. Results: Activity patterns of 38 transcriptional programs clustered tumor cells from the patients into 21 states. Preliminarily, we observed common regulatory network cell states (St_1, St_2, St_5, St_6) across patient tumors. Additionally, primary tumor cells of a patient (UW14) transitioned from initial cell state(s) observed across multiple patients (e.g., St_1) to a recurrent state (e.g., St_9) through a trajectory driven by transcription factors (TFs). Herein, scMINER regulatory network inference method also defines master TFs (TFs that regulate the majority of the other TFs in the network) that were used to characterize initial (St_1) or recurrent (St_9) cell states. Moreover, certain transcription factors (22) and their co-expressed target genes (regulons) also exhibit variation in expression across the pseudotime trajectory (from St_1 to St_9) including masterTFs such as SOX9 and MECOM. Conclusions: Therefore, we observed that shared cell states may exist across patients (primary and relapse) although in different proportions. Our analysis suggests a de-differentiation trajectory from neuronal cells to developing GBM stem cells and predicts transcription factors that could be playing an important role therein. Moreover, similar transcriptional regulatory mechanisms may promote transitions between primary and recurrent tumor cell states that exhibit phenotypic plasticity.

Hypoxia-related THBD+ macrophages as a prognostic factor in glioma: Construction of a powerful risk model.

Glioma is a prevalent malignant tumour characterized by hypoxia as a pivotal factor in its progression. This study aims to investigate the impact of the most severely hypoxic cell subpopulation in glioma. Our findings reveal that the THBD+ macrophage subpopulation is closely associated with hypoxia in glioma, exhibiting significantly higher infiltration in tumours compared to non-tumour tissues. Moreover, a high proportion of THBD+ cells correlates with poor prognosis in glioblastoma (GBM) patients. Notably, THBD+ macrophages exhibit hypoxic characteristics and epithelial-mesenchymal transition features. Silencing THBD expression leads to a notable reduction in the proliferation and metastasis of glioma cells. Furthermore, we developed a THBD+ macrophage-related risk signature (THBDMRS) through machine learning techniques. THBDMRS emerges as an independent prognostic factor for GBM patients with a substantial prognostic impact. By comparing THBDMRS with 119 established prognostic features, we demonstrate the superior prognostic performance of THBDMRS. Additionally, THBDMRS is associated with glioma metastasis and extracellular matrix remodelling. In conclusion, hypoxia-related THBD+ macrophages play a pivotal role in glioma pathogenesis, and THBDMRS emerges as a potent and promising prognostic tool for GBM, contributing to enhanced patient survival outcomes.

Dichotomous Effects of Glypican-4 on Cancer Progression and Its Crosstalk with Oncogenes.

Glypicans are linked to various aspects of neoplastic behavior, and their therapeutic value has been proposed in different cancers. Here, we have systematically assessed the impact of GPC4 on cancer progression through functional genomics and transcriptomic analyses across a broad range of cancers. Survival analysis using TCGA cancer patient data reveals divergent effects of GPC4 expression across various cancer types, revealing elevated GPC4 expression levels to be associated with both poor and favorable prognoses in a cancer-dependent manner. Detailed investigation of the role of GPC4 in glioblastoma and non-small cell lung adenocarcinoma by genetic perturbation studies displays opposing effects on these cancers, where the knockout of GPC4 with CRISPR/Cas9 attenuated proliferation of glioblastoma and augmented proliferation of lung adenocarcinoma cells and the overexpression of GPC4 exhibited a significant and opposite effect. Further, the overexpression of GPC4 in GPC4-knocked-down glioblastoma cells restored the proliferation, indicating its mitogenic effect in this cancer type. Additionally, a survival analysis of TCGA patient data substantiated these findings, revealing an association between elevated levels of GPC4 and a poor prognosis in glioblastoma, while indicating a favorable outcome in lung carcinoma patients. Finally, through transcriptomic analysis, we attempted to assign mechanisms of action to GPC4, as we find it implicated in cell cycle control and survival core pathways. The analysis revealed upregulation of oncogenes, including FGF5, TGF-β superfamily members, and ITGA-5 in glioblastoma, which were downregulated in lung adenocarcinoma patients. Our findings illuminate the pleiotropic effect of GPC4 in cancer, underscoring its potential as a putative prognostic biomarker and indicating its therapeutic implications in a cancer type dependent manner.

Recent in vitro models and tissue engineering strategies to study glioblastoma

Glioblastoma is a highly malignant brain tumor classified as grade IV with a poor prognosis and approximately a year of survival rate. The molecular changes that trigger primary glioblastoma are usually epidermal growth factor receptor mutations and amplifications, Mouse Double Minute and TP53 mutations, p16 deletion, phosphatase and tensin homolog and telomerase promoter mutations. In the vast majority of glioblastomas, altered signaling pathways were identified as receptor tyrosine kinase/Ras/PI3K, p53. Isocitrate dehydrogenase 1/2 mutations have also been associated with poor prognosis in glioblastoma The treatment options are very limited and complicated because of the diverse composition and heterogeneity of the tumors and unresponsiveness to the treatments with the existence of barriers reaching the brain tissue. Despite new trials, drug candidates that appeared effective in cell culture or mouse models failed in the clinic. Recently, new sophisticated experimental systems, including the those that mimic the tumor microenvironment, have started being used by several research groups, which will allow accurate prediction of drug efficacy. Tissue engineering strategies are also being combined with innovative cancer models, including spheroids, tumorspheres, organotypic slices, explants, tumoroids, and organoids. Such 3D systems provide powerful tools for studying glioblastoma biology by representing the dynamic evolution of the disease from the early to the metastatic stages and enabling interaction with the microenvironment. In this review, we both enlighten the molecular mechanisms that lead to glioblastoma development and detailed information on the tissue engineering approaches that have been used to model glioblastoma and the tumor microenvironment with the advantages and disadvantages. We anticipate that these novel approaches could improve the reliability of preclinical data by reducing the need for animal models.

294 Multi-omic Screening of Invasive GBM Cells in Engineered Biomaterials and Patient Biopsies Reveals Targetable Transsulfuration Pathway Alterations

INTRODUCTION: The poor prognosis of glioblastoma (GBM) is driven by tumor invasion; however, little is known of the metabolic alterations that drive invasion in glioblastoma. METHODS: We integrated spatially addressable hydrogel biomaterial platforms, patient site-directed biopsies, and multi-omics analyses to define metabolic drivers of invasive glioblastoma cells. A CRISPR metabolic gene screen was utilized to identify metabolic genes crucial for GBM invasion. We further targeted an identified hit from our high-throughput screens by utilizing a sgRNA to generate a knockdown cell line and assessing invasion in vitro and in vivo in a patient-derived xenograft orthotopic mouse model. RESULTS: Metabolomics and lipidomics revealed elevations in the redox buffers cystathionine, hexosylceramides, and glucosyl ceramides in the invasive front of both hydrogel-cultured tumors and patient site-directed biopsies, with immunofluorescence indicating elevated reactive oxygen species (ROS) markers in invasive cells. Transcriptomics confirmed upregulation of ROS-producing and response genes at the invasive front in both hydrogel models and patient tumors. Amongst oncologic ROS, hydrogen peroxide specifically promoted glioblastoma invasion in 3D hydrogel spheroid cultures. A CRISPR metabolic gene screen revealed cystathionine gamma lyase (CTH), an enzyme which converts cystathionine to the non-essential amino acid cysteine in the transsulfuration pathway, to be essential for glioblastoma invasion. Correspondingly, supplementing CTH knockdown cells with exogenous cysteine rescued invasion. Pharmacologic CTH inhibition suppressed glioblastoma invasion, while CTH knockdown slowed glioblastoma invasion in vivo. CONCLUSIONS: Our studies highlight the importance of ROS metabolism in invasive glioblastoma cells and support further exploration of the transsulfuration pathway as a mechanistic and therapeutic target.

Abstract 307: Generation and characterization of a glioblastoma stem cell model with acquired resistance to LSD1 inhibition

Abstract Epigenetic modifications play an important role in the initiation of various cancer types, including glioblastoma (GBM), and in the development of therapeutic resistance. Patients with GBM, a common malignant brain tumor, have an average survival of 12-15 months after first-line therapy. Lysine-specific demethylase 1 (LSD1) is a histone demethylase that is overexpressed in glioblastoma stem cells (GSCs) and functions to promote proliferation, inhibit differentiation, and enhance motility. Previous work from our group has investigated LSD1 as a therapeutic target in glioblastoma and identified genes that may predict resistance to pharmacological LSD1 inhibitors using RNA-seq. Five upregulated genes, HKDC1, RAB3IL1, RAB39B, FTH1, and FAM213A, were associated with LSD1 inhibitor (LSD1i) resistance and were validated in brain tissue of a GBM model treated with GSK-LSD1 after succumbing to tumor burden. In order to determine whether selection pressure from LSD1 inhibitor treatment caused upregulation of these genes, we created a model of acquired resistance in GSC lines in vitro. Isogenic resistant lines were generated by treating MDA-GSC17 cells with increasing concentrations of LSD1i or diluent (DMSO), as tolerated starting at 50 uM (which was five fold below the IC50 for these lines). In parallel, MDA-GSC17 controls were exposed to DMSO. The resistant line was created over 4 weeks and monitored by cell number and viability to reach 90%. To assess the change in gene expression, we conducted quantitative PCR for the five genes in the parental and resistant MDA-GSC17 line and saw upregulation in 3 of the 5 genes. Two genes, HKDC1 and RAB3IL1, were unable to be assessed due to low basal expression. However, 3 genes were upregulated which are RAB39B, FTH1, and FAM213A. RAB39B is a Ras-analog in brain (RAB) small GTPase and a member of the RAS oncogene family, involved in vesicular trafficking. High expression of ferritin heavy chain 1 (FTH1) is correlated with high-grade gliomas and poor prognosis in glioblastoma. Lastly, the redox regulatory protein, FAM213A, can activate antioxidant proteins and elevated expression is associated with worse outcomes for AML patients. This suggests that modulating the RAS signaling pathways and specific redox pathways may overcome LSD1 resistance. Understanding the changes in gene expression as the cells acquire resistance to LSD1 inhibitors will help us understand the mechanism of resistance to LSD1 inhibitors in glioblastoma and to design new treatment strategies. Citation Format: Kareena H. Patel, Lea Stitzlein, Deokhwa Nam, Frederick Lang, Joy Gumin, Joya Chandra. Generation and characterization of a glioblastoma stem cell model with acquired resistance to LSD1 inhibition [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 307.

Abstract 6587: Discovery of molecular glue of FBXW7:MYC interaction using small molecule microarray

Abstract MYC deregulation is a key driver and feature of many human cancers. Yet, despite its importance in cancer progression, MYC is considered “undruggable” by small molecules due to its disordered conformation. Therefore, interfering with its interactions with protein partners to modulate MYC activity appears viable. FBXW7 is an E3 ligase, which serves as a constituent of the SCF (Skp1-Cul1-F box) ubiquitin ligase complex. It mediates the degradation of both c-Myc and Cyclin E through ubiquitin-dependent proteolysis. FBXW7 mutations are found in various human tumor types, establishing its role as a general human tumor suppressor. Specifically, FBXW7 down-regulation increases MYC level, and its expression correlates to lethal outcomes of breast epithelial cells, poor prognosis in glioblastoma, and T cell acute lymphoblastic leukemia remission. Therefore, our project aims to discover potent small molecule glues that would enhance the interaction between FBXW7 and MYC, leading to MYC degradation through proteolysis and eventually suppression of various cancers. Taking advantage of our high throughput screening technology, Small Molecule Microarrays (SMMs), we successfully identified 29 compounds that potently bind to both c-Myc and FBXW7 after screening our 65,000 ‘drug-like’ small molecule library. We then performed secondary assays using a mCherry-GFP MYC reporter cell line to identify our lead compound, KI-FBX-001, which decreases MYC’s expression:transcription ratio by over 50% compared to control. Additionally, this down-regulation can be rescued by protease inhibitor MG132, indicating that the effect is achieved via proteolysis. In vitro dose-response and time-course treatment revealed an optimal drugging concentration at 15uM in K562 cells, with inhibition reaching its peak at the 4-hour time point at over 60%. Using the Qiagen MYC reporter assay, the in vitro IC50 of KI-FBX-001 is found at 7.42uM. Beyond the protein level, the qPCR result also reveals a decrease in MYC mRNA level at over 70%. Surface Plasmon Resonance (SPR) is used to confirm direct binding between FBXW7 and KI-FBX-001, which showed promising binding with kd=0.17µM. Proximity Ligation Assay further confirms KI-FBX-001’s effect in enhancing FBXW7:MYC interaction in the cell. In summary, our findings proved that KI-FBX-001 is a promising molecular glue in the FBXW7:MYC interaction, and can effectively modulate the MYC level for future therapeutic purposes. Citation Format: Shenghao Guo, Morgan Stilgenbauer, Bocheng Wu, Yatin Mankan, Angela N. Koehler. Discovery of molecular glue of FBXW7:MYC interaction using small molecule microarray [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 6587.

Effect of Oxygen Tension on Glioblastoma Cell Growth

Background and Hypothesis:Glioblastoma (GBM) is an aggressive primary malignancy of the CNS with a dismal prognosis (~15-20 months) despite standard of care therapies. The poor prognosis of GBM despite ongoing research may be due to inaccuracies in preclinical models of the disease. Cell lines typically used to study GBM are exposed to ambient air containing 21% oxygen (normoxia compared to physiologic oxygen tension, physoxia, ~5%). In extracranial tumors, exposure to the oxygen in ambient air triggers epigenetic changes that alter cell growth, metabolism, and treatment responsiveness. The aim of this study is to obtain preliminary data on the impact ofphysiologic oxygen tensions on primary glioma cell growth in vitro.
 Experimental Design:Growth of primary glioma cell lines (GB43, GB10, GB001) and one immortalized cell line (293T HEK) was assessed in normoxia and physoxia. All cell lines were plated at 10,000 cells per well. Cells were harvested and counted in triplicate on days 2, 4, 6, 8, 10, 12. On each day the cells were counted, the media in the remaining wells was changed. This experiment was repeated three times. Wound healing assays with all cell lines were also performed at normoxia and physoxia.
 Results:Cells line growth curves were plotted and showed consistent exponential growth after counting on day two. From these graphs, the cell doubling time was calculated over a period of four days during which the cells were undergoing exponential growth.
 Conclusions:Current results indicated that primary glioblastoma cell lines grow at different rates at differing oxygen tensions. In ongoing studies, we are exploring the effect of low oxygen tensions on functional assays such as wound-healing. Future work will assess rates of growth and functional consequence of physoxia in tumor samples never exposed to ambient air to most accurately recapitulate the in-situ environment.

Pan-cancer ion transport signature reveals functional regulators of glioblastoma aggression

Ion channels, transporters, and other ion-flux controlling proteins, collectively comprising the “ion permeome”, are common drug targets, however, their roles in cancer remain understudied. Our integrative pan-cancer transcriptome analysis shows that genes encoding the ion permeome are significantly more often highly expressed in specific subsets of cancer samples, compared to pan-transcriptome expectations. To enable target selection, we identified 410 survival-associated IP genes in 33 cancer types using a machine-learning approach. Notably, GJB2 and SCN9A show prominent expression in neoplastic cells and are associated with poor prognosis in glioblastoma, the most common and aggressive brain cancer. GJB2 or SCN9A knockdown in patient-derived glioblastoma cells induces transcriptome-wide changes involving neuron projection and proliferation pathways, impairs cell viability and tumor sphere formation in vitro, perturbs tunneling nanotube dynamics, and extends the survival of glioblastoma-bearing mice. Thus, aberrant activation of genes encoding ion transport proteins appears as a pan-cancer feature defining tumor heterogeneity, which can be exploited for mechanistic insights and therapy development.

GRIK1 promotes glioblastoma malignancy and is a novel prognostic factor of poor prognosis.

Primary tumors of the central nervous system (CNS) are classified into over 100 different histological types. The most common type of glioma is derived from astrocytes, and the most invasive glioblastoma (WHO IV) accounts for over 57% of these tumors. Glioblastoma (GBM) is the most common and fatal tumor of the CNS, with strong growth and invasion capabilities, which makes complete surgical resection almost impossible. Despite various treatment methods such as surgery, radiotherapy, and chemotherapy, glioma is still an incurable disease, and the median survival time of patients with GBM is shorter than 15 months. Thus, molecular mechanisms of GBM characteristic invasive growth need to be clarified to improve the poor prognosis. Glutamate ionotropic receptor kainate type subunit 1 (GRIK1) is essential for brain function and is involved in many mental and neurological diseases. However, GRIK1's pathogenic roles and mechanisms in GBM are still unknown. Single-nuclear RNA sequencing of primary and recurrent GBM samples revealed that GRIK1 expression was noticeably higher in the recurrent samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of GRIK1 correlated with poor prognosis of GBM, consistent with The Cancer Genome Atlas database. Knockdown of GRIK1 retarded GBM cells growth, migration, and invasion. Taken together, these findings show that GRIK1 is a unique and important component in the development of GBM and may be considered as a biomarker for the diagnosis and therapy in individuals with GBM.

NCDN is a Potential Biomarker and Therapeutic Target for Glioblastoma.

Background: Glioblastoma (GBM) is a type of central nervous system malignancy. In our study, we determined the effect of NCDN in GBM patients through The Cancer Genome Atlas (TCGA) data analysis, and studied the effects of NCDN on GBM cell function to estimate its potential as a therapeutic target. Methods: Gene expression profiles of glioblastoma cohort were acquired from TCGA database and analyzed to look for central genes that may serve as GBM therapeutic targets. Then the cell function of NCDN in glioblastoma cell was explored through in vitro cell experiments. Results: Through gene ontology (GO) analysis, weighted gene co-expression network analysis (WGCNA), and survival analysis, we identified three key genes (NCDN, PAK1 and SPRYD3) associated with poor prognosis in glioblastoma. In vitro experiments showed impaired cell migration, apoptosis, and cell cycle arrest in NCDN knockdown cells. Conclusion: NCDN affects the progress and prognosis of glioblastoma by promoting cell migration and inhibiting apoptosis.

AMPK-HIF-1α signaling enhances glucose-derived de novo serine biosynthesis to promote glioblastoma growth

BackgroundCancer cells undergo cellular adaptation through metabolic reprogramming to sustain survival and rapid growth under various stress conditions. However, how brain tumors modulate their metabolic flexibility in the naturally serine/glycine (S/G)-deficient brain microenvironment remain unknown.MethodsWe used a range of primary/stem-like and established glioblastoma (GBM) cell models in vitro and in vivo. To identify the regulatory mechanisms of S/G deprivation-induced metabolic flexibility, we employed high-throughput RNA-sequencing, transcriptomic analysis, metabolic flux analysis, metabolites analysis, chromatin immunoprecipitation (ChIP), luciferase reporter, nuclear fractionation, cycloheximide-chase, and glucose consumption. The clinical significances were analyzed in the genomic database (GSE4290) and in human GBM specimens.ResultsThe high-throughput RNA-sequencing and transcriptomic analysis demonstrate that the de novo serine synthesis pathway (SSP) and glycolysis are highly activated in GBM cells under S/G deprivation conditions. Mechanistically, S/G deprivation rapidly induces reactive oxygen species (ROS)-mediated AMP-activated protein kinase (AMPK) activation and AMPK-dependent hypoxia-inducible factor (HIF)-1α stabilization and transactivation. Activated HIF-1α in turn promotes the expression of SSP enzymes phosphoglycerate dehydrogenase (PHGDH), phosphoserine aminotransferase 1 (PSAT1), and phosphoserine phosphatase (PSPH). In addition, the HIF-1α-induced expression of glycolytic genes (GLUT1, GLUT3, HK2, and PFKFB2) promotes glucose uptake, glycolysis, and glycolytic flux to fuel SSP, leading to elevated de novo serine and glycine biosynthesis, NADPH/NADP+ ratio, and the proliferation and survival of GBM cells. Analyses of human GBM specimens reveal that the levels of overexpressed PHGDH, PSAT1, and PSPH are positively correlated with levels of AMPK T172 phosphorylation and HIF-1α expression and the poor prognosis of GBM patients.ConclusionOur findings reveal that metabolic stress-enhanced glucose-derived de novo serine biosynthesis is a critical metabolic feature of GBM cells, and highlight the potential to target SSP for treating human GBM.

DNAR-02. MICROGLIA IN THE GLIOBLASTOMA MICROENVIRONMENT ASSIST REPAIR OF RADIATION INDUCED DNA DAMAGE IN A CONTACT INDEPENDENT MANNER

Abstract Rapid repair of DNA damage mediates genotoxic therapy resistance and poor prognosis in glioblastoma (GBM). The GBM tumor microenvironment (TME) is heterogenous, and we hypothesized that non-malignant cells in the GBM TME support the repair of DNA damage in glioblastoma cells. Consistent with this hypothesis, we found that GBM tumors grown intracranially in mice had rapid DNA repair and were resistant to radiation when compared to tumors of identical genotype grown extracranially in mouse flanks. Further interrogation of irradiated intracranial tumors using gamma-H2AX immunofluorescence revealed spatial heterogeneity in DNA damage repair, with spatially separate regions of rapid and slow gamma-H2AX resolution. Paired spatial transcriptomic analysis and gamma-H2AX immunofluorescence revealed that tumor regions with rapid DNA repair were rich in microglia and enriched for inflammatory response and epithelial to mesenchymal transition (EMT) pathway transcripts. Spatial transcriptomic analysis of patient tissue revealed that regions enriched in DNA damage repair pathways are also enriched for microglia and not other non-malignant cell types. Having nominated microglia, we then cocultured GBM cells and microglia and found that GBM cells cocultured with microglia repair DNA damage faster in a contact-independent manner. Hence, we show that microglia in the GBM microenvironment assist GBM cells to repair radiation induced DNA damage through inflammatory response and EMT and hence, mediate treatment resistance.

DDDR-21. A TEMOZOLOMIDE-INDUCED LONG NONCODING RNA, LINC02454, REGULATES CHEMOSENSITIVITY IN GLIOBLASTOMA VIA MODULATION OF CXCR4

Abstract INTRODUCTION Chemoresistance is one of the primary factors influencing the poor prognosis in glioblastoma (GBM) patients. Long noncoding RNAs (lncRNAs) are a novel class of RNAs representing up to 80% of the genome, and noted to induce profound alterations in transcriptional regulation and phenotype, including chemotherapy response. We therefore set out to identify novel lncRNAs induced by chemotherapy that regulate GBM chemosensitivity. We further evaluated the mechanism by which a candidate chemoresistance-associated lncRNA exerts function. METHODS We evaluated gene expression following temozolomide treatment in multiple glioma lines (via RNA-seq). Candidate lncRNAs demonstrating significant expression upon TMZ treatment were assessed for association with patient survival. We further evaluated the effect of knockdown of candidate lncRNAs upon resulting TMZ sensitivity and downstream gene expression. RESULTS Linc02454 was among the most highly upregulated genes following TMZ treatment. Linc02454 resides on chromosome 12q14 within a locus of genes amplified in 10% of GBM patients. Elevated linc02454 expression was associated with decreased survival in TCGA data, while linc02454 knockdown reduced in vitro GBM cell viability in response to TMZ. RNA-seq identified CXC-chemokine receptor 4 (CXCR4) among the most heavily downregulated genes following lncRNA knockdown. Finally, TMZ induces similar increases in linc02454 and CXCR4, while CXCR4 KD chemosensitivity phenotypes closely parallel linc02454 KD phenotypes. CONCLUSION TMZ-induced increases in long noncoding RNAs, particularly in linc02454, regulate expression of well-known and previously targeted chemokines, including CXCR4. Subsequent studies, evaluating the manner by which chemotherapy increases linc02454, and the manner by which linc02454 affects CXCR4 and treatment sensitivity may improve GBM temozolomide sensitivity.

P11.40.A GLIOBLASTOMA WITH OSSEOUS METASTASES: A SINGLE INSTITUTION CASE SERIES

Abstract BACKGROUND Although glioblastoma (GBM) is the most common malignant primary brain tumor in adults, extracranial metastasis is rare, occurring in <2% of cases. This rarity has been attributed to the blood brain barrier, immunologic factors, lack of traditional lymphatics in the brain, and the poor prognosis of GBM, limiting its opportunity to metastasize. When GBM does metastasize, bone is the most common destination. GBM may spread hematogenously to bone, especially to vertebral bodies via the surrounding venous plexus. In this single-institution study, we review the clinical characteristics of GBM patients with osseous metastases and evaluate potential risk factors and prognostic significance. MATERIAL AND METHODS Using an institutional database, we identified and retrospectively analyzed 6 GBM patients with osseous metastases and studied their demographics, tumor genetics, clinical courses, and outcomes. RESULTS Five of 6 (83%) GBM patients with osseous metastases were male, with a median age of 46 years at GBM diagnosis (range: 20-84). All patients had IDH wild type and MGMT unmethylated GBM with mutations in TP53. Two patients (33%) were initially diagnosed with gliosarcoma. All patients were treated with surgical resection followed by radiation with concurrent and adjuvant temozolomide. Five patients (83%) received bevacizumab for vasogenic edema (n=4) or intracranial tumor progression (n=1) prior to bone metastasis diagnosis. Bone metastases were diagnosed a median of 12.2 months (range: 5.3-35.2) after GBM diagnosis and 4.8 months after starting bevacizumab (range: 3.5-13.2). Two patients (33%) received immune checkpoint inhibitor therapy and two patients (33%) received tumor-treating fields prior to bone metastasis discovery. Bone metastases were symptomatic in 2 patients, presenting with back pain (n=1) and leg weakness and urinary incontinence (n=1). Three patients (50%) had concurrent metastases to other organs. Osseous metastases were biopsy-confirmed in 3 (50%) cases, while the other 3 patients had no known alternative malignancy to explain their bone metastases. After osseous metastasis discovery, the median survival was 27 days (range: 13-225). CONCLUSION Most of our GBM patients with osseous metastases were male and most, but not all, were young at GBM diagnosis. Tumor genetics common to all patients included IDH wild type, MGMT unmethylated status, and TP53 mutation, which may be important for osseous metastasis. Most patients received bevacizumab, which may be associated with earlier metastasis. While rare, metastatic GBM should be within the differential for GBM patients with bone pain or progressive neurologic symptoms, as osseous metastases portend a dismal prognosis in an already aggressive malignancy.

Insulin feedback is a targetable resistance mechanism of PI3K inhibition in glioblastoma.

Insulin feedback is a critical mechanism responsible for the poor clinical efficacy of phosphatidylinositol 3-kinase (PI3K) inhibition in cancer, and hyperglycemia is an independent factor associated with poor prognosis in glioblastoma (GBM). We investigated combination anti-hyperglycemic therapy in a mouse model of GBM and evaluated the association of glycemic control in clinical trial data from patients with GBM. The effect of the anti-hyperglycemic regimens, metformin and the ketogenic diet, was evaluated in combination with PI3K inhibition in patient-derived GBM cells and in an orthotopic GBM mouse model. Insulin feedback and the immune microenvironment were retrospectively evaluated in blood and tumor tissue from a Phase 2 clinical trial of buparlisib in patients with recurrent GBM. We found that PI3K inhibition induces hyperglycemia and hyperinsulinemia in mice and that combining metformin with PI3K inhibition improves the treatment efficacy in an orthotopic GBM xenograft model. Through examination of clinical trial data, we found that hyperglycemia was an independent factor associated with poor progression-free survival in patients with GBM. We also found that PI3K inhibition increased insulin receptor activation and T-cell and microglia abundance in tumor tissue from these patients. Reducing insulin feedback improves the efficacy of PI3K inhibition in GBM in mice, and hyperglycemia worsens progression-free survival in patients with GBM treated with PI3K inhibition. These findings indicate that hyperglycemia is a critical resistance mechanism associated with PI3K inhibition in GBM and that anti-hyperglycemic therapy may enhance PI3K inhibitor efficacy in GBM patients.

GNA13 inhibits glioblastoma metastasis via the ERKs/FOXO3 signaling pathway

Glioblastoma (GBM) is a malignant tumor characterized by poor prognosis and low overall survival (OS) rate. Identification of novel biological markers for the diagnosis and treatment of GBM is crucial to developing interventions to improve patient survival. GNA13, a member of the G12 family, has been reported to play important roles in a variety of biological processes involved in tumorigenesis and development. However, its role in GBM is currently unknown. Here, we explored the expression patterns and functions of GNA13 in GBM, as wells its impact on metastasis process. Results showed that GNA13 was downregulated in GBM tissues and correlated with poor prognosis of GBM. Downregulation of GNA13 promoted the migration, invasion and proliferation of GBM cells; whereas its overexpression abolished these effects. Western blots revealed that GNA13 knockdown and overexpression upregulated and inhibited the phosphorylation of ERKs, respectively. Moreover, GNA13 was the upstream of ERKs signaling to regulating ERKs phosphorylation level. Furthermore, U0126 alleviated the metastasis effect induced by GNA13 knockdown. Bioinformatics analyses and qRT-PCR experiments demonstrated that GNA13 could regulate FOXO3, a downstream signaling molecule of ERKs pathway. Overall, our results demonstrate that GNA13 expression is negatively correlated with GBM and can suppress tumor metastasis by inhibiting the ERKs signaling pathway and upregulating FOXO3 expression.

Eukaryotic initiation factor 4 A-3 promotes glioblastoma growth and invasion through the Notch1-dependent pathway

BackgroundAs an adult tumor with the most invasion and the highest mortality rate, the inherent heterogeneity of glioblastoma (GBM) is the main factor that causes treatment failure. Therefore, it is important to have a deeper understanding of the pathology of GBM. Some studies have shown that Eukaryotic Initiation Factor 4A-3 (EIF4A3) can promote the growth of many people’s tumors, and the role of specific molecules in GBM remains unclear.MethodsThe correlation between the expression of EIF4A3 gene and its prognosis was studied in 94 GBM patients using survival analysis. Further in vitro and in vivo experiments, the effect of EIF4A3 on GBM cells proliferation, migration, and the mechanism of EIF4A3 on GBM was explored. In addition, combined with bioinformatics analysis, we further confirmed that EIF4A3 contributes to the progress of GBM.ResultsThe expression of EIF4A3 was upregulated in GBM tissues, and high expression of EIF4A3 is associated with poor prognosis in GBM. In vitro, knockdown of EIF4A3 significantly reduced the proliferation, migration, and invasion abilities of GBM cells, whereas overexpression of EIF4A3 led to the opposite effect. The analysis of differentially expressed genes related to EIF4A3 indicates that it is involved in many cancer-related pathways, such as Notch and JAK-STAT3 signal pathway. In Besides, we demonstrated the interaction between EIF4A3 and Notch1 by RNA immunoprecipitation. Finally, the biological function of EIF4A3-promoted GBM was confirmed in living organisms.ConclusionThe results of this study suggest that EIF4A3 may be a potential prognostic factor, and Notch1 participates in the proliferation and metastasis of GBM cells mediated by EIF4A3.

HDAC1 mediates epithelial-mesenchymal transition and promotes cancer cell invasion in glioblastoma.

Glioblastoma multiforme (GBM) is one of the most malignant tumors of the central nervous system, and its treatment has always been a difficult clinical problem. Here, we evaluated HDAC1 expression patterns and their effect on prognosis based on GBM cases from TCGA and CGGA databases. Expression was compared between GBM samples and normal controls. High HDAC1 expression was found to be an indicator of poor prognosis in glioblastoma. We also established a protein-protein interaction network to explore HDAC1-related interacting proteins, including the epithelial-mesenchymal transition (EMT)-related protein VIM, which is closely associated with HDAC1. Consistently, functional enrichment analysis showed that several GBM tissues with high HDAC1 were enriched in the expression of cancer markers, such as those involved in glycolysis, hypoxia, inflammation, and some signaling pathways. Next, this study analyzed the effect of HDAC1 on invasive ability and the EMT signaling pathway in GBM cells in vitro. The results showed that an HDAC1 inhibitor (RGFP109) could inhibit the EMT process in glioma cells in vitro, thereby affecting the invasion and migration of cells. Similar results were obtained based on in vivo studies. Our data suggest that HDAC1 has the potential to be a powerful prognostic biomarker, which might provide a basis for developing therapeutic targets for GBM.