Glioblastoma Biology Research Articles

Longitudinal multimodal profiling of IDH-wildtype glioblastoma reveals the molecular evolution and cellular phenotypes underlying prognostically different treatment responses.

Despite recent advances in the biology of IDH-wildtype glioblastoma, it remains a devastating disease with median survival of less than 2years. However, the molecular underpinnings of the heterogeneous response to the current standard-of-care treatment regimen consisting of maximal safe resection, adjuvant radiation, and chemotherapy with temozolomide remain unknown. Comprehensive histopathologic, genomic, and epigenomic evaluation of paired initial and recurrent glioblastoma specimens from 106 patients was performed to investigate the molecular evolution and cellular phenotypes underlying differential treatment responses. While TERT promoter mutation and CDKN2A homozygous deletion were early events during gliomagenesis shared by initial and recurrent tumors, most other recurrent genetic alterations (eg, EGFR, PTEN, and NF1) were commonly private to initial or recurrent tumors indicating acquisition later during clonal evolution. Furthermore, glioblastomas exhibited heterogeneous epigenomic evolution with subsets becoming more globally hypermethylated, hypomethylated, or remaining stable. Glioblastoma that underwent sarcomatous transformation had shorter interval to recurrence and were significantly enriched in NF1, TP53, and RB1 alterations and the mesenchymal epigenetic class. Patients who developed somatic hypermutation following temozolomide treatment had significantly longer interval to disease recurrence and prolonged overall survival, and increased methylation at 4 specific CpG sites in the promoter region of MGMT was significantly associated with this development of hypermutation. Finally, an epigenomic evolution signature incorporating change in DNA methylation levels across 347 critical CpG sites was developed that significantly correlated with clinical outcomes. Glioblastoma undergoes heterogeneous genetic, epigenetic, and cellular evolution that underlies prognostically different treatment responses.

TMIC-29. IMMUNE SPECIFIC IMAGING TECHNIQUES IN GLIOBLASTOMA: SELFI MRI IDENTIFIES AGGRESSIVE AND IMMUNOSUPPRESSIVE BIOLOGICAL FEATURES THAT CONTRIBUTE TO THERAPEUTIC RESISTANCE

Abstract Gadolinium (Gd) enhanced MRI is nonspecific for identifying aggressive glioblastoma biology. Glioblastoma-associated macrophages (GAMs) are pivotal in regrowth. Segregation and Extravascular Localization of Ferumoxytol Imaging (SELFI) is a quantitative immune specific MRI technique. SELFI+ values quantify M2 GAMs by phagocytized Ferumoxytol (Fe), while SELFI- values delineate intravascular Fe, cerebral blood volume. The relationship between SELFI and biology driving therapeutic resistance remains unknown. We aimed to determine if SELFI identified immunosuppressive GAMs and biology contributing to poor outcomes, a capability not yet achievable in clinical practice. This prospective study included four patients with glioblastoma. All underwent preoperative Gd and Fe (7 mg/kg up to 510 mg) enhanced MRI allowing for image guided biopsy based on Gd enhancement and FLAIR hyperintensity. RNA was analyzed on GeneChip Clariom Arrays. Intraoperative biopsy location was referenced to MRI for placement of volumes of interest (VOIs). VOIs quantified MRI phenotype and SELFI values. Gene Set Enrichment Analysis (GSEA) assessed differential expression between MRI features. T-test assessed differences in SELFI (p <0.05) and GSEA significance was assessed by normalized enrichment score (NES) and false discovery rate (FDR) q-value. Four patients provided 36 image guided tissue samples with sufficient quality to assess the causal relationships between MRI features and transcriptomics. Stratification by patient MGMT methylation status (N= 3 unmethylated) demonstrated Gd+ regions had significantly elevated SELFI+ values (Mean±SD, Gd+ = 0.24±0.17, Gd- = 0.08±0.09, P<0.01). GSEA demonstrated that tissues with elevated SELFI+ and lowered SELFI- values were comprised of significantly upregulated hypoxia and transforming growth factor-beta (TGFβ) signaling; among others (NES>1.5, FDR q-value<0.05). SELFI MRI uniquely quantifies glioblastoma by localizing sites of biological aggressiveness known to contribute to therapeutic resistance and disease recurrence. Patient enrollment continues to further define the causal relationships between SELFI, GAMs, and glioblastoma biology.

TMIC-18. ROLE OF NEUROTRANSMITTERS IN GLIOBLASTOMA PATHOPHYSIOLOGY: EMERGING INSIGHTS

Abstract INTRODUCTION Glioblastoma (GBM) are the most common primary brain tumor in adults associated with a dismal patient outcome. While it is well-known that glutamatergic neurons can form functional synapses with glioblastoma cells to enhance tumor growth, lesser is known about the effects of activity of other neuronal types on glioblastoma biology, especially among different glioblastoma molecular subtypes. Here, we examined the effects of various neurotransmitters on the growth of glioblastoma cells characterized as classical, proneural and mesenchymal subtypes. METHODS Patient-derived glioblastoma cell lines were exposed to varying concentrations of different neurotransmitters and assessed for cell viability using CCK-8 assay. Transcriptomic data from TCGA (The Cancer Genome Atlas) database was analyzed for correlation of expression of neurotransmitter receptors (NTRs) with patient survival. Using IVY-GAP database, we compared the expression of NTRs at leading-edge versus tumor core of tumors to assess their possible involvement in cell migration and microenvironmental interactions. RESULTS Consistent with previous findings, we observed an increase in cell viability in all GBM cell lines after being incubated with L-glutamate. The classical subtype has a stronger growth response to L-glutamate compared to the other two subtypes. TCGA data revealed the expression of GRIK4 (glutamate ionotropic receptor kainate type subunit 4) as highest in the classical subtype as well as inversely correlated with worse patient survival in this GBM subtype, as opposed to proneural or mesenchymal patient groups. CCK8 assay also suggested that acetylcholine and dopamine increase glioblastoma cell growth. A subset of cholinergic and glutamatergic receptors (CHRM1, GRM2) was found upregulated in infiltrating/leading-edge regions of glioblastoma tumors compared to the tumor core, suggesting possible involvement in glioblastoma-neuron interactions. CONCLUSION Our findings suggest that GBM subtypes may differentially leverage neuro-modulatory mechanisms to support their growth. Future studies will investigate the differential neuronal responses in GBM subtypes using pharmacological/genetic approaches.

TMOD-34. GENERATION OF BRAIN-VESSEL-GBM ASSEMBLOIDS USING PATIENT-DERIVED GLIOBLASTOMA TISSUE

Abstract Glioblastoma (GBM) is the most common malignant brain tumor of the central nervous system and has a significantly low survival rate of approximately 15 months. Current preclinical GBM models are limited by the lack of a normal human microenvironment and the inability of many tumor cell lines to accurately reproduce GBM biology. To address these limitations, we describe a detailed procedure to generate brain-vessel- GBM assembloids, which are fusions of glioblastoma organoids (GBOs) from resected patient tumor tissue and cerebral and vessel organoids derived from human pluripotent stem cells. The proposed methodology will be used to detect and treat brain tumors, which will enable personalized treatment for brain tumor diseases. By universalizing the methodology we present, we aim to encourage other scientists to further develop existing models for studying these lethal tumors.

TMIC-77. ELUCIDATING THE ROLE OF PTPRZ1 SIGNALING IN DRIVING GLIOBLASTOMA PROGRESSION USING THE NOVEL HUMAN ORGANOID TUMOR TRANSPLANTATION SYSTEM

Abstract Glioblastoma (GBM), the most malignant and aggressive primary brain tumor, is driven by both intrinsic genetic mutations and extrinsic factors from the tumor microenvironment (TME). GBM manipulates the TME to enhance its survival and proliferation through mechanisms such as forming functional synapses with adjacent normal cells and secreting immunosuppressive factors. Our laboratory has developed a novel human organoid tumor transplantation (HOTT) model, which allows for the interrogation of tumor-normal cell crosstalk at a molecular level and facilitates the dissection of specific signaling pathways that drive tumor progression and maintenance. Using single-cell transcriptomics on human GBM HOTTs, we identified the PTN-PTPRZ1 ligand-receptor interaction as a critical mediator of tumor-microenvironment communication. PTPRZ1, a receptor tyrosine phosphatase, has been previously implicated in glioma cell migration, and our data further elucidate its role in modulating tumor behavior. Specifically, we demonstrated that knockdown of PTPRZ1 within the TME of human cortical organoids significantly enhances glioma cell migration and inhibits differentiation, underscoring the essential role of PTPRZ1 in maintaining the tumor’s invasive phenotype. Further pharmacological inhibition of PTPRZ1’s catalytic activity with a small molecule revealed that these effects on cell fate determination are independent of its phosphatase activity. This suggests that PTPRZ1 exerts critical non-catalytic functions that are pivotal for GBM progression. To further investigate these non-catalytic mechanisms, we propose utilizing single-cell transcriptomics coupled with proximity labeling and proteomics. This approach will allow us to comprehensively map PTPRZ1-mediated signaling networks and elucidate their impact on tumor biology, potentially unveiling novel therapeutic targets. Our findings revealed a novel axis of GBM biology mediated by PTPRZ1 and highlighted the importance of considering microenvironmental interactions in the development of effective therapeutics for GBM.

EPCO-27. CHROMATIN REMODELING REPROGRAMS THE TRANSCRIPTION NETWORK IN GLIOBLASTOMA

Abstract Fundamentally, cancer arises from genetic and epigenetic alterations that interplay to reprogram gene expression networks, leading to unrestrained proliferation. Glioblastoma (GBM) is the most prevalent and aggressive primary brain cancer, with a median survival of approximately one year and a 5-year survival rate of just 5%. The standard care for GBM patients has remained unchanged for decades, underscoring the need for a better understanding of GBM biology to develop more effective therapies. The relatively low genetic mutation burden in GBM highlights the significant role of epigenetic mechanisms in its pathogenesis. Our recent work shows that chromatin remodeling plays pivotal roles in GBM pathogenesis. The BRD8-driven EP400 chromatin remodeling complex maintains GBM by crippling p53-mediated tumor suppression in an unprecedented way through hijacking the histone variant H2AZ at p53 target loci, enforcing a repressive chromatin state that prevents p53-mediated transactivation. Targeting BRD8 in TP53WT GBM, which makes up ~71% of all GBM cases, enhances chromatin accessibility by evicting H2AZ. This restores p53-mediated transactivation of its targets, reestablishes cell cycle arrest, inhibits gliomagenesis, and prolongs survival in xenograft models of TP53WT GBM. Conversely, the NuRD chromatin remodeling complex driven by CHD5 governs the MYC-mediated oncogenic network to prevent gliomagenesis. Mechanistically, CHD5 forms a CHD3-containing but CHD4-independent NuRD complex that directly binds to the MYC promoter and super enhancers. Chd5 loss triggers the remodeling of chromatin, enhances chromatin accessibility at Myc loci, augments Myc expression, significantly impairs NSCs differentiation while promotes proliferation, transformation, and gliomagenesis in vivo. Furthermore, reactivating CHD5 in human GBM xenograft models significantly extends survival. Thus, our findings reveal previously unappreciated epigenetic mechanisms by which GBM cells reprogram both tumor-suppressive and oncogenic transcription networks to facilitate their outgrowth. This sheds new light on our understanding of GBM malignancy and provides promising therapeutic opportunities for treating patients with this devastating malignancy.

DDDR-23. DECODING GLIOBLASTOMA DRUG RESISTANCE DYNAMICS USING NOVEL MICROFLUIDIC EX VIVO MODELS

Abstract Glioblastoma (GBM) is clinically challenging due to its aggressive nature and limited treatment options. Current standard of care involves surgical resection and chemoradiation with temozolomide (TMZ). GBM, however, often returns post-treatment fueled by its complex biology and the presence of resilient GBM stem cells. Compounding the issue is the blood-brain barrier, which poses a formidable obstacle to drug delivery into the brain. Understanding the molecular dynamics post-therapy within the brain, influenced by the tissue microenvironment, is key for developing more effective therapeutic strategies. Unfortunately, existing research models have fallen short in capturing the complexity of GBM and its response to treatment. While animal models have been a mainstay in GBM research, their ability to predict human responses has been called into question, highlighted by the disappointing results seen in clinical trials. We are therefore advancing bioprinting-based approaches for modeling various components of the tumor microenvironment to gain insight into mechanisms of drug resistance. We report on the development of three novel microfluidic platforms to investigate and interrogate GBM biology. First, we have developed a novel microfluidic model of GBM, termed GlioFlow-3D, produced through a combination of 3D printing methods. GlioFlow-3D mimics specific aspects of the perivascular niche, including protection from circulating TMZ. Second, we have adapted GlioFlow-3D as part of a platform to investigate advanced ultrasound techniques for delivering novel therapeutics into the human brain. Third, we are developing a novel approach aimed at exploring the relationship between the brain extracellular matrix and tumoral cells using bioprinting of living tumor organoids obtained from patients with a history of recurrence. By integrating bioprinting technologies with patient-derived models to create novel ex vivo platforms, we aim to obtain new insights into the intricate dynamics of drug resistance in GBM, ultimately paving the way for more effective therapeutic strategies. Funding: The Brain Tumor Center Research Award (UCGNI) The ARC Project - CCHMC and UC joint Research Award

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

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. 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. 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. 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 (TAM) make up the largest immune cell population in the glioblastoma (GBM) tumor microenvironment. Given the heterogeneity and plasticity of TAMs in the GBM tumor microenvironment, 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 glycoprotein nonmetastatic melanoma protein Bhigh lipid-laden microglia and macrophages (LLM) in GBM. Mesenchymal-like GBM cells help generate the LLM phenotype. Reciprocally, LLMs are epigenetically rewired to recycle myelin and transfer the lipid from myelin to cancer cells, fueling mesenchymal-like GBM progression in a liver X receptor/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.