Glioblastoma Biology Research Articles

Exploring Extracellular Vesicle Surface Protein Markers Produced by Glioblastoma Tumors: A Characterization Study Using In Vitro 3D Patient-Derived Cultures

Background/Objectives: Glioblastoma (GBM) is an aggressive brain cancer with limited treatment options. Extracellular vesicles (EVs) derived from GBM cells contain important biomarkers, such as microRNAs, proteins, and DNA mutations, which are involved in tumor progression, invasion, and resistance to treatment. Identifying surface markers on these EVs is crucial for their isolation and potential use in noninvasive diagnosis. This study aimed to use tumor-derived explants to investigate the surface markers of EVs and explore their role as diagnostic biomarkers for GBM. Methods: Tumor explants from nine GBM patients without IDH1/IDH2 mutations or 1p-19q co-deletion were cultured to preserve both tumor viability and cytoarchitecture. EVs were collected from the tumor microenvironment using differential centrifugation, filtration, and membrane affinity binding. Their surface protein composition was analyzed through multiplex protein assays. RNA-Seq data from TCGA and GTEx datasets, along with in silico single-cell RNA-seq data, were used to assess EV surface biomarker expression across large GBM patient cohorts. Results: The in vitro model successfully replicated the tumor microenvironment and produced EVs with distinct surface markers. Biomarker analysis in large datasets revealed specific expression patterns unique to GBM patients compared with healthy controls. These markers demonstrated potential as a GBM-specific signature and were correlated with clinical data. Furthermore, in silico single-cell RNA-seq provided detailed insights into biomarker distribution across different cell types within the tumor. Conclusions: This study underscores the efficacy of the tumor-derived explant model and its potential to advance the understanding of GBM biology and EV production. A key innovation is the isolation of EVs from a model that faithfully mimics the tumor’s original cytoarchitecture, offering a deeper understanding of the cells involved in EV release. The identified EV surface markers represent promising targets for enhancing EV isolation and optimizing their use as diagnostic tools. Moreover, further investigation into their molecular cargo may provide crucial insights into tumor characteristics and evolution.

Pre‑operative mean platelet volume is associated with overall survival in patients with IDH‑wildtype glioblastoma undergoing maximal safe resection.

Glioblastoma (GBM) is the most common, fast-growing, and aggressive malignant primary CNS tumor, with a survival time of ~15 months despite the use of surgery and adjuvant treatments. In recent years, there has been a growing interest in exploring the potential contribution of hemostasis and platelet activation in GBM biology. The present study assessed the association between the pre-operative coagulation profile [as indicated by prothrombin time (PT) ratio and activated partial thromboplastin time (aPTT) ratio], overall platelets (PLT) count and the mean platelet volume (MPV) with tumoral characteristics and overall survival in patients with isocitrate dehydrogenase-wildtype (IDH-wt) GBM.

Transient MRI changes and neurological deterioration in glioblastoma upon SARS-CoV-2 infection.

Little is known about the effect of SARS-CoV-2 infection on glioblastoma (GBM) growth, metabolism, and prognosis. Immunological changes within GBM tissue are potentially symptomatic, underlining the urgent need for a better understanding of this phenomenon. To date, the complex underlying biology has not been fully elucidated. A decisive role of the tumor microenvironment (TME) and the components of the immune system acting within it is assumed. Immunohistochemical staining of SARS-CoV-2 spike protein and immune cell infiltration of TME was performed on the tumor tissue of one patient. This patient developed hemiparesis 14 days after symptomatic SARS-CoV-2 infection, leading to tumor diagnosis. Subsequently and after biopsy, there was an unexpectedly good response to chemotherapy only. In looking for further evidence of the potential of SARS-CoV-2 to influence the course of GBM, two additional adult patients that had transient MRI changes and neurological deterioration following SARS-CoV-2 infection were evaluated. In the patient for whom neurological deterioration in the course of SARS-CoV-2 led to GBM diagnosis, immunohistochemistry revealed virus-specific protein accumulation in the tumor cells, microglial activation, and the formation of T-cell nodules. In the other two patients, the findings were compatible with symptomatic pseudoprogression that occurred in a temporal relationship with SARS-CoV-2 infection. The results indicate a possible association between clinically relevant changes in GBM biology and SARS-CoV-2 infection, with histological confirmation of SARS-CoV-2-associated changes within the tumor tissue. The exact pathomechanism and underlying inflammatory pathways require further investigation.

Lipid-laden macrophages recycle myelin to feed glioblastoma.

Tumor-associated microglia and macrophages (TAMs) make up the largest immune cell population in the glioblastoma (GBM) tumor microenvironment (TME). Given the heterogeneity and plasticity of TAMs in the GBM TME, understanding the context-dependent cancer cell-TAM symbiotic interaction is crucial for understanding GBM biology and developing effective therapies. In a recent issue of Cell, Kloosterman and colleagues identified a subpopulation of GPNMBhigh lipid-laden microglia and macrophages (LLMs) in GBM. Mesenchymal-like (MES-like) GBM cells help to generate the LLM phenotype. Reciprocally, LLMs are epigenetically rewired to recycle myelin and transfer the lipid from myelin to cancer cells, fueling MES-like GBM progression in an LXR/ABCA1-dependent manner. Together, leveraging LLMs opens new therapeutic possibilities for rewiring the metabolism-mediated tumor-TAM interaction during GBM progression.

Inhibition of circular JUN prevents the proliferation and invasion of glioblastoma via miR-3064-IGFBP5 axis.

Glioblastoma (GBM) remains one of the most aggressive and lethal brain tumours, characterized by rapid progression and limited treatment options. This study investigated the regulatory roles of circular RNA circJUN, and its functional interaction with microRNA miR-3064 in GBM pathogenesis. We employed bioinformatic analyses and clinical sample validation to identify circJUN as a potential target in GBM. Subsequently, we engineered GBM cell lines with stable circJUN knockout or overexpression, and transfected them with miR-3064 mimic/inhibitor or IGFBP5 small interfering RNA (siRNA)/expression vector to elucidate the molecular mechanisms governing GBM proliferation and invasion. To investigate the invivo effects, xenograft tumour models were established in nude mice using engineered cells to assess the roles of circJUN in tumour growth regulation. Our analyses revealed significant overexpression of circJUN in GBM tissues compared to healthy controls, which strongly correlated with poor patient prognosis. Invitro and invivo experiments demonstrated that circJUN overexpression could enhance GBM cell proliferation and invasion. Mechanistic investigations uncovered EIF4A3 as an interacting factor of circJUN which promotes circJUN expression, and circJUN modulates miR-3064 activity to regulate the malignancy of GBM cells. Furthermore, we identified IGFBP5, a crucial regulator of cell growth, as a direct target of miR-3064, thereby establishing an additional layer of control over GBM proliferation and invasion. Our study unveils a complex regulatory network involving circJUN, miR-3064 and IGFBP5 in GBM pathogenesis, underscoring their potential as novel therapeutic targets for improving patient outcomes. Our findings not only contribute to the understanding of GBM biology but also pave the way for innovative therapeutic approaches in the management of this malignancy.

Melanocortin Receptor Agonist Bremelanotide Induces Cell Death and Growth Inhibition in Glioblastoma Cells via Suppression of Survivin Expression.

Glioblastoma is the most aggressive form of brain tumor and has a dismal prognosis; therefore, novel therapeutic approaches based on the mechanisms underlying its aggressive nature are urgently required. A growing body of evidence suggests that neurotransmitters play a key role in modulating the biology of glioblastoma; however, the role of melanocortins remains unclear. The effects of bremelanotide, a melanocortin receptor agonist, alone or in combination with chemotherapeutic agents, on survivin expression and cell viability were investigated in human glioblastoma cell lines. Bremelanotide reduced survivin expression and induced cell death in glioblastoma cells at concentrations that were not toxic to normal human cells, and both of these effects were canceled in the presence of an antagonist of melanocortin receptors 3 and 4. Bremelanotide-induced cell death was prevented by the forced over-expression of survivin in glioblastoma cells, suggesting that bremelanotide induces glioblastoma cell death by inhibiting the expression of survivin. Bremelanotide also promoted cell death induced by chemotherapeutic agents, such as temozolomide and osimertinib. The present results identified melanocortin receptors 3 and 4 as novel and viable therapeutic targets for glioblastoma. Activation of these receptors by bremelanotide may inhibit the expression of survivin, thereby sensitizing glioblastoma cells to cell death.

Unravelling the mosaic: Epigenetic diversity in glioblastoma.

Glioblastoma is the most common primary malignant brain tumour. Despite decades of intensive research in the disease, its prognosis remains poor, with an average survival of only 14 months after diagnosis. The remarkable level of intra- and interpatient heterogeneity is certainly contributing to the lack of progress in tackling this tumour. Epigenetic dysregulation plays an important role in glioblastoma biology and significantly contributes to intratumour heterogeneity. However, it is becoming increasingly clear that it also contributes to intertumour heterogeneity, which historically had mainly been linked to diverse genetic events occurring in different patients. In this review, we explore how DNA methylation, chromatin remodelling, microRNA (miRNA) dysregulation, and long noncoding RNA (lncRNA) alterations contribute to intertumour heterogeneity in glioblastoma, including its implications for advanced tumour stratification, which is the essential first step for developing more effective patient-specific therapeutic approaches.

Advancements in Telomerase-Targeted Therapies for Glioblastoma: A Systematic Review.

Glioblastoma (GBM) is a primary CNS tumor that is highly lethal in adults and has limited treatment options. Despite advancements in understanding the GBM biology, the standard treatment for GBM has remained unchanged for more than a decade. Only 6.8% of patients survive beyond five years. Telomerase, particularly the hTERT promoter mutations present in up to 80% of GBM cases, represents a promising therapeutic target due to its role in sustaining telomere length and cancer cell proliferation. This review examines the biology of telomerase in GBM and explores potential telomerase-targeted therapies. We conducted a systematic review following the PRISMA-P guidelines in the MEDLINE/PubMed and Scopus databases, from January 1995 to April 2024. We searched for suitable articles by utilizing the terms "GBM", "high-grade gliomas", "hTERT" and "telomerase". We incorporated studies addressing telomerase-targeted therapies into GBM studies, excluding non-English articles, reviews, and meta-analyses. We evaluated a total of 777 records and 46 full texts, including 36 studies in the final review. Several compounds aimed at inhibiting hTERT transcription demonstrated promising preclinical outcomes; however, they were unsuccessful in clinical trials owing to intricate regulatory pathways and inadequate pharmacokinetics. Direct hTERT inhibitors encountered numerous obstacles, including a prolonged latency for telomere shortening and the activation of the alternative lengthening of telomeres (ALT). The G-quadruplex DNA stabilizers appeared to be potential indirect inhibitors, but further clinical studies are required. Imetelstat, the only telomerase inhibitor that has undergone clinical trials, has demonstrated efficacy in various cancers, but its efficacy in GBM has been limited. Telomerase-targeted therapies in GBM is challenging due to complex hTERT regulation and inadequate inhibitor pharmacokinetics. Our study demonstrates that, despite promising preclinical results, no Telomerase inhibitors have been approved for GBM, and clinical trials have been largely unsuccessful. Future strategies may include Telomerase-based vaccines and multi-target inhibitors, which may provide more effective treatments when combined with a better understanding of telomere dynamics and tumor biology. These treatments have the potential to be integrated with existing ones and to improve the outcomes for patients with GBM.

Cell-specific cross-talk proteomics reveals cathepsin B signaling as a driver of glioblastoma malignancy near the subventricular zone.

Glioblastoma (GBM) is the most prevalent and aggressive malignant primary brain tumor. GBM proximal to the lateral ventricles (LVs) is more aggressive, potentially because of subventricular zone contact. Despite this, cross-talk between GBM and neural stem/progenitor cells (NSC/NPCs) is not well understood. Using cell-specific proteomics, we show that LV-proximal GBM prevents neuronal maturation of NSCs through induction of senescence. In addition, GBM brain tumor-initiating cells (BTICs) increase expression of cathepsin B (CTSB) upon interaction with NPCs. Lentiviral knockdown and recombinant protein experiments reveal that both cell-intrinsic and soluble CTSB promote malignancy-associated phenotypes in BTICs. Soluble CTSB stalls neuronal maturation in NPCs while promoting senescence, providing a link between LV-tumor proximity and neurogenesis disruption. Last, we show LV-proximal CTSB up-regulation in patients, showing the relevance of this cross-talk in human GBM biology. These results demonstrate the value of proteomic analysis in tumor microenvironment research and provide direction for new therapeutic strategies in GBM.

Metabolism changes caused by glucose in normal and cancer human brain cell lines by Raman imaging and chemometric methods

Glucose is the main source of energy for the human brain. This paper presents a non-invasive technique to study metabolic changes caused by glucose in human brain cell lines. In this paper we present the spectroscopic characterization of human normal brain (NHA; astrocytes) and human cancer brain (CRL-1718; astrocytoma and U-87 MG; glioblastoma) control cell lines and cell lines upon supplementation with glucose. Based on Raman techniques we have identified biomarkers that can monitor metabolic changes in lipid droplets, mitochondria and nucleus caused by glucose. We have studied the vibrations at 750 cm−1, 1444 cm−1, 1584 cm−1 and 1656 cm−1 as a function of malignancy grade. We have compared the concentration of cytochrome, lipids and proteins in the grade of cancer aggressiveness in normal and cancer human brain cell lines. Chemometric analysis has shown that control normal, control cancer brain cell lines and normal and cancer cell lines after supplementation with glucose can be distinguished based on their unique vibrational properties. PLSDA (Partial Least Squares Discriminant Analysis) and ANOVA tests have confirmed the main role of cytochromes, proteins and lipids in differentiation of control human brain cells and cells upon supplementation with glucose. We have shown that Raman techniques combined with chemometric analysis provide additional insight to monitor the biology of astrocytes, astrocytoma and glioblastoma after glucose supplementation.

Targeting drug resistance in glioblastoma (Review).

Glioblastoma (GBM) is the most common malignancy of the central nervous system in adults. The current standard of care includes surgery, radiation therapy, temozolomide; and tumor‑treating fields leads to dismal overall survival. There are far limited treatments upon recurrence. Therapies to date are ineffective as a result of several factors, including the presence of the blood‑brain barrier, blood tumor barrier, glioma stem‑like cells and genetic heterogeneity in GBM. In the present review, the potential mechanisms that lead to treatment resistance in GBM and the measures which have been taken so far to attempt to overcome the resistance were discussed. The complex biology of GBM and lack of comprehensive understanding of the development of therapeutic resistance in GBM demands discovery of novel antigens that are targetable and provide effective therapeutic strategies.

Analysis of transition metals in glioblastoma tumor and plasma samples.

e14029 Background: Transition metals such as copper, iron, zinc, and manganese are known to play essential roles in human physiology as evidenced in conditions where these metals are dysregulated. The role of transition metals in glioblastoma biology has been largely understudied. Here we investigated whether plasma and tumor transition metal content is associated with glioblastoma patient outcomes. Methods: Transition metal content was measured in 31 glioblastoma tumor samples, 21 of which had matched plasma samples, using inductively coupled plasma mass spectroscopy (ICP-MS) or inductively coupled plasma atomic emission spectroscopy (ICP-AES). Concentrations of transition metals in plasma and tumor were then then correlated with clinical parameters including median overall survival (mOS) as well as plasma cytokines. Results: Spearman correlation analysis of transition metals in glioblastoma tumor samples found that tumor manganese and tumor zinc (R = 0.52, p = 0.0048) as well as tumor copper and tumor zinc (R = 0.36, p = 0.038) were positively correlated. Plasma transition metal content did not correlate with tumor transition metal content. Kaplan-Meier and Cox regression survival analysis between high and low expressors of each respective transition metal, separated at the median, revealed that high plasma iron content was associated with prolonged survival (median overall survival: 30.1 vs 12.4 months, P = 0.0036). Plasma from glioblastoma patients in the high plasma iron group had increased levels of IFN-β (10.91 pg/mL vs 7.43 pg/mL, P = 0.004). Plasma or tumor concentrations of copper, zinc, or manganese did not associate with survival. Conclusions: Increased plasma iron content is associated with prolonged survival as well as increased plasma IFN-β levels, suggesting a possible link between iron and immune responses in glioblastoma patients.

Biosensor-Enhanced Organ-on-a-Chip Models for Investigating Glioblastoma Tumor Microenvironment Dynamics.

Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC models, providing a comprehensive platform for investigating glioblastoma tumor microenvironment dynamics. The applications of this combined approach in studying glioblastoma dynamics are critically scrutinized, emphasizing its potential to bridge the gap between simplistic models and the intricate in vivo conditions. Furthermore, the article discusses the implications of biosensor-enhanced OOC models in elucidating the dynamic features of the tumor microenvironment, encompassing cell migration, proliferation, and interactions. By furnishing real-time insights, these models significantly contribute to unraveling the complex biology of glioblastoma, thereby influencing the development of more accurate diagnostic and therapeutic strategies.

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.

Abstract 3763: Comparative spatial analyses of the tumor immune landscape in different mouse models of glioblastoma

Abstract Background: Despite advances in treatment, glioblastoma (GBM) remains one of the most difficult types of cancer to treat, and the prognosis is poor. The current median survival time for patients with GBM is about 12-15 months, and the five-year survival rate is less than 10%. There is an unmet need for better GBM treatment options, leveraged from relevant experimental models. To develop new therapies, preclinical animal models are important for analyzing the biology of GBM and evaluating the efficacy of novel therapeutic strategies. While a variety of experimental models are used to study GBM, most preclinical investigations involve mice. In this study we utilize a spatial phenotyping application that permits comprehensive characterization and comparison of key proteins in the brain tumor immune microenvironment (TiME), and detailed comparison the TiME between different immune-competent GBM mouse models. Methods: The Phenocycler-Fusion is a fast spatial biology solution that affords ultrahigh-plex single-cell spatial readouts. We used this solution for the whole slide imaging of mouse FFPE tissues and deep immune phenotyping of >40 proteins, comprising immune cell lineages, activation states and checkpoints, as well as biomarkers for tumor, vascular and neural landscapes of various GBM mouse models. Results: Via single cell spatial phenotyping, we isolated spatial signatures within the mouse GBM tissue immune microenvironment. We focused on multiple immune biomarkers, including microglia/myeloid cells that were identified via the combinatorial expression of the key markers CD68, Iba-1, F4/80, Tmem119 and CD11b. The macrophages and their biomarker expression profiles exhibited significant inter- and intra-tumoral heterogeneity within different mouse GBM models, indicative of the heterogeneous and complex biology of GBM. Conclusions: Our work encompasses the development of a custom antibody panel, an imaging workflow, as well as a novel bioinformatic analysis method. Deployment of this workflow on different mouse GBM models allowed us to study cell populations, according to biomarker profiles and spatial distribution. This study provides a deeper characterization of the diverse mouse GBM models to determine the optimal model that most accurately recapitulates the complex TiME of human GBM, including key features such as invasive tumor margins, high vascularity, blood-brain barrier, etc. We anticipate that this approach has enormous potential for a broad range of applications for which biomolecules’ spatial information is important and will deepen our understanding of the GBM TiME. Citation Format: Dmytro Klymyshyn, Niyati Jhaveri, Aditya Pratapa, Nadezhda Nikulina, Tsz H. Tam, Nadine Nelson, Riccardo Dolcetti, Davide Moi, Roberta Mazzieri, Theo Mantamadiotis. Comparative spatial analyses of the tumor immune landscape in different mouse models of glioblastoma [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 3763.

Abstract 1257: CHD5 suppresses glioblastoma by inhibiting MYC

Abstract Fundamentally, cancer is a disease caused by genetic and epigenetic alterations that converge to reprogram gene expression networks, leading to unrestrained proliferation. Glioblastoma (GBM) is the most prevalent and aggressive primary brain cancer, median survival being approximately one year and the 5-year survival rate being only 5%. Despite decades of effort, this devastating picture has not appreciably improved and effective therapies have been elusive for GBM patients. A better understanding of GBM biology is essential for developing more effective therapies. Although several genetic alterations have been implicated in gliomagenesis, driving genetic factors responsible for GBM are still obscure, and the interplay between genetic alterations and epigenetic dysregulation is largely undocumented during the gliomagenic process. Here, we show that CHD5 — a gene mapping to the 1p36 chromosomal region that is notoriously deleted in many cancers, is recurrently deleted in over 20% of GBM cases and is further downregulated through epigenetic means. To delineate how CHD5 loss promotes gliomagenesis, we established a glioma-prone mouse model harboring conditional alleles of Pten, Trp53, and Chd5. We developed an engineered mouse neural stem cell (NSCs)-based strategy to elicit glioma formation, as NSCs are the major cell-of-origin for GBM. We show that Chd5 loss significantly impairs NSCs differentiation while promoting proliferation, transformation, and gliomagenesis in vivo. Mechanistically, Chd5 forms a Chd3-containing but Chd4-independent NuRD complex that directly binds the Myc promoter and super enhancers to govern Myc expression in normal NSCs, with the Snf2 domain of Chd5 playing the most critical chromatin regulating role in the context of GBM. Chd5 loss triggers the remodeling of chromatin, enhances accessibility, and augments Myc expression, leading to the formation of highly aggressive glioma. Furthermore, reactivating CHD5 in human GBM xenograft models significantly extends survival. This work demonstrates the tumor suppressive role of CHD5 in gliomagenesis, providing therapeutic insights for cancers with 1p36 deletions. In parallel, this work presents a powerful strategy for rapidly interrogating gene function during gliomagenesis using engineering NSCs, and the generation of novel mouse models with classic clinical features of GBM, offering new approaches for elucidating GBM biology that can inform on therapeutic opportunities for treating patients with GBM. Citation Format: Xueqin Sherine Sun, Alea Mills. CHD5 suppresses glioblastoma by inhibiting MYC [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 1257.

The Potential Role of the Extracellular Matrix Glycoprotein Reelin in Glioblastoma Biology.

Glioblastoma, the most common and lethal primary adult brain tumor, cannot be successfully removed surgically due to its highly invasive nature. Therapeutically, approaches must be aimed at a systemic brain disease and not merely at a tumor located within the brain, unless a successful containment strategy can be found. Reelin, an extracellular matrix glycoprotein, plays an important role in neuronal migration and serves here as a natural stop signal. Interestingly, the expression of reelin is negatively associated with tumor grade and, within glioblastoma, correlates with increased overall survival. To further elucidate a potential biological reason for these findings, we looked at the cellular behavior of glioblastoma cell lines grown on a pure fibronectin matrix or a matrix with reelin inserts. While reelin had no significant effects on cellular metabolism, proliferation, or resistance to chemotherapeutic agents, it did significantly affect the cells' interaction with fibronectin. Both matrix attachment and detachment were modulated by reelin, and thus, the invasion and motility of cells interacting with a reelin-containing matrix were altered. The data presented in this work strongly suggest that reelin might be a potential modulator of underlying molecular mechanisms that contribute to glioblastoma invasion.

Abstract B014: CHD5 suppresses glioblastoma by inhibiting MYC

Abstract Fundamentally, cancer is a disease caused by genetic and epigenetic alterations that converge to reprogram gene expression networks, leading to unrestrained proliferation. Glioblastoma (GBM) is the most prevalent and aggressive primary brain cancer, median survival being approximately one year and the 5-year survival rate being only 5%. Despite decades of effort, this devastating picture has not appreciably improved and effective therapies have been elusive for GBM patients. A better understanding of GBM biology is essential for developing more effective therapies. Although several genetic alterations have been implicated in gliomagenesis, driving genetic factors responsible for GBM are still obscure, and the interplay between genetic alterations and epigenetic dysregulation is largely undocumented during the gliomagenic process. Here, we show that CHD5 — a gene mapping to the 1p36 chromosomal region that is notoriously deleted in many cancers, is recurrently deleted in over 20% of GBM cases and is further downregulated through epigenetic means. To delineate how CHD5 loss promotes gliomagenesis, we established a glioma-prone mouse model harboring conditional alleles of Pten, Trp53, and Chd5. We developed an engineered mouse neural stem cell (NSCs)-based strategy to elicit glioma formation, as NSCs are the major cell-of-origin for GBM. We show that Chd5 loss significantly impairs NSCs differentiation while promoting proliferation, transformation, and gliomagenesis in vivo. Mechanistically, Chd5 forms a Chd3-containing but Chd4-independent NuRD complex that directly binds the Myc promoter and super enhancers to govern Myc expression in normal NSCs, with the Snf2 domain of Chd5 playing the most critical chromatin regulating role in the context of GBM. Chd5 loss triggers the remodeling of chromatin, enhances accessibility, and augments Myc expression, leading to the formation of highly aggressive glioma. Furthermore, reactivating CHD5 in human GBM xenograft models significantly extends survival. This work demonstrates the tumor suppressive role of CHD5 in gliomagenesis, providing therapeutic insights for cancers with 1p36 deletions. In parallel, this work presents a powerful strategy for rapidly interrogating gene function during gliomagenesis using engineering NSCs and highlights the generation of novel mouse models with classic clinical features of GBM, offering new approaches for elucidating GBM biology that can inform on therapeutic opportunities for treating patients with GBM. Citation Format: Xueqin Sherine Sun, Alea Mills. CHD5 suppresses glioblastoma by inhibiting MYC [abstract]. In: Proceedings of the AACR Special Conference on Brain Cancer; 2023 Oct 19-22; Minneapolis, Minnesota. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_1):Abstract nr B014.

Intrinsic and Microenvironmental Drivers of Glioblastoma Invasion.

Gliomas are diffusely infiltrating brain tumors whose prognosis is strongly influenced by their extent of invasion into the surrounding brain tissue. While lower-grade gliomas present more circumscribed borders, high-grade gliomas are aggressive tumors with widespread brain infiltration and dissemination. Glioblastoma (GBM) is known for its high invasiveness and association with poor prognosis. Its low survival rate is due to the certainty of its recurrence, caused by microscopic brain infiltration which makes surgical eradication unattainable. New insights into GBM biology at the single-cell level have enabled the identification of mechanisms exploited by glioma cells for brain invasion. In this review, we explore the current understanding of several molecular pathways and mechanisms used by tumor cells to invade normal brain tissue. We address the intrinsic biological drivers of tumor cell invasion, by tackling how tumor cells interact with each other and with the tumor microenvironment (TME). We focus on the recently discovered neuronal niche in the TME, including local as well as distant neurons, contributing to glioma growth and invasion. We then address the mechanisms of invasion promoted by astrocytes and immune cells. Finally, we review the current literature on the therapeutic targeting of the molecular mechanisms of invasion.

Androgen deficiency is associated with a better prognosis in glioblastoma

BackgroundThe androgen receptor (AR) has been demonstrated to play a role in the pathogenesis of glioblastoma; however, the implications of circulating testosterone levels in the biology of glioblastoma remain unknown.AimThis study aimed to analyze the association between circulating testosterone levels and the prognosis of patients with glioblastoma.MethodsForty patients with primary glioblastoma were included in the study. The main prognostic endpoint was progression-free survival (PFS). Circulating testosterone levels were used to determine the state of androgen deficiency (AD). AR expression was analyzed by reverse-transcriptase polymerase chain reaction, Western blot, and immunofluorescence. Survival analysis was performed using the log-rank test and univariate and multivariate Cox regression analysis.ResultsMost of the patients showed AR expression, and it was mainly located in the cytoplasm, as well as in the nucleus of tumor cells. Patients with AD presented a better PFS than those patients with normal levels (252.0 vs. 135.0 days; p = 0.041). Furthermore, normal androgenic status was an independent risk factor for progression in a multivariate regression model (hazard ratio = 6.346; p = 0.004).ConclusionCirculating testosterone levels are associated with the prognosis of glioblastoma because patients with AD show a better prognosis than those with normal androgenic status.