Search Results (369)

Background: The profound heterogeneity of glioblastoma and the often-limited efficacy of conventional treatments, including arsenic trioxide (ATO), underscore the urgent and critical demand for innovative combination strategies specifically designed to overcome treatment resistance. Methods: We evaluated the therapeutic effects of ATO as a single agent and in combination with the MNK1 inhibitor AUM001 across patient-derived xenograft (PDX) models and investigated molecular determinants of sensitivity and synergy. Our results demonstrated that GBM models resistant to ATO, particularly those of the mesenchymal subtype, are more likely to show synergistic cytotoxicity when AUM001 is added. The combination significantly reduces the frequency of glioblastoma stem cells (GSCs) compared to either drug alone, especially in ATO-resistant models. Results: These observations suggest that targeting the MNK1 pathway in conjunction with ATO is a promising strategy to specifically eradicate GSCs, which are major drivers of GBM recurrence and therapeutic failure. Transcriptomic analyses revealed that ATO sensitivity correlated with activated translation-related pathways and cell cycle processes, while synergistic responses to the combination were driven by distinct molecular signatures in different GBM subtypes. Overall, synergistic response to the combination therapy is more associated with cellular organization, amino acid transmembrane transporter activity, ion channels, extracellular matrix organization and collagen formation. Conclusions: Our findings highlight that specific molecular pathways and their activities, including those involving translation, cell cycle and ion transport, appear to modulate the synergistic efficacy of the ATO and AUM001 combination, thereby offering potential biomarkers for improved patient stratification in future GBM clinical trials of such ATO-based treatments. Full article

Glioblastoma (GBM) remains one of the most treatment-resistant human malignancies, largely due to the interplay between disrupted fluid dynamics, immune evasion, and the structural complexity of the tumor microenvironment; in addition to these, treatment resistance is also driven by intratumoral heterogeneity, glioma stem cell persistence, hypoxia-induced metabolic and epigenetic plasticity, adaptive oncogenic signaling, and profound immunosuppression within the tumor microenvironment. Emerging evidence shows that dysfunction of the glymphatic system, mislocalization of aquaporin-4, and increased intracranial pressure compromise cerebrospinal fluid–interstitial fluid exchange and impair antigen drainage to meningeal lymphatics, thereby weakening immunosurveillance. GBM simultaneously remodels the blood–brain barrier into a heterogeneous and permeable blood–tumor barrier that restricts uniform drug penetration yet enables tumor progression. These alterations intersect with profound immunosuppression mediated by pericytes, tumor-associated macrophages, and hypoxic niches. Advances in imaging, including DCE-MRI, DTI-ALPS, CSF-tracing PET, and elastography, now allow in vivo characterization of glymphatic function and interstitial flow. Therapeutic strategies targeting the fluid-immune interface are rapidly expanding, including convection-enhanced delivery, intrathecal and intranasal approaches, focused ultrasound, nanoparticle systems, and lymphatic-modulating immunotherapies such as VEGF-C and STING agonists. Integrating barrier modulation with immunotherapy and nanomedicine holds promise for overcoming treatment resistance. Our review synthesizes the mechanistic, microenvironmental, and translational advances that position the glymphatic–immune axis as a new frontier in glioblastoma research. Full article

Glioblastoma (GBM) is characterized by its unique molecular features, such as self-renewal and tumorigenicity of glioma stem cells that promote resistance, largely resulting in treatment failure. Among the molecular alterations significant to GBM biology and treatment, mutations in isocitrate dehydrogenase (IDH) have assumed particular relevance. IDH-mutant and IDH-wild-type tumors exhibit significantly different metabolic characteristics, clinical behavior, and therapeutic sensitivities, making IDH status a critical determinant in determining prognosis and treatment strategies for GBM. In the context of cancer, chaperones were shown to promote tumor progression by supporting malignant cells over healthy ones. While heat shock proteins (HSPs) have long been implicated in the molecular mechanisms of tumor phenotype progression, recent attention has turned to CCT (chaperonin containing TCP1), orchestrating proteostasis. The chaperonin CCT is being explored as a diagnostic and therapeutic target in many cancers, including GBM, owing to its involvement in key oncogenic signaling pathways such as Wnt, VEGF, EGFR, and PI3K/AKT/mTOR. However, its role in the GBM-tricarboxylic acid (TCA) cycle cascade is still not well understood. Therefore, the present review highlights the potential role of the CCT complex in regulating hypoxia-inducible factor (HIF) activation by modulating enzymes responsive to metabolites derived from glucose metabolism and the TCA cycle in a manner dependent on oxygen availability and IDH mutation status. Full article

Glioblastoma (GBM) is one of the most common and aggressive primary malignant tumors of the central nervous system, accounting for about half of all gliomas in adults. Despite intensive research and advances in molecular biology, genomics, and modern neuroimaging techniques, the prognosis for patients with GBM remains extremely poor. Despite the implementation of multimodal treatment involving surgery, radiotherapy, and chemotherapy with temozolomide, the average survival time of patients is only about 15 months. This is primarily due to the complex biology of this cancer, which involves numerous genetic and epigenetic abnormalities, as well as a highly heterogeneous tumor structure and the presence of glioblastoma stem cells with self renewal capacity. Mutations and abnormalities in genes such as IDH-wt, EGFR, PTEN, TP53, TERT, and CDKN2A/B are crucial in the pathogenesis of GBM. In particular, IDH-wt status (wild-type isocitrate dehydrogenase) is one of the most important identification markers distinguishing GBM from other, more favorable gliomas with IDH mutations. Frequent EGFR amplifications and TERT gene promoter mutations lead to the deregulation of tumor cell proliferation and increased aggressiveness. In turn, the loss of function of suppressor genes such as PTEN or CDKN2A/B promotes uncontrolled cell growth and tumor progression. The immunosuppressive tumor microenvironment also plays an important role, promoting immune escape and weakening the effectiveness of systemic therapies, including immunotherapy. The aim of this review is to summarize the current state of knowledge on the epidemiology, classification, pathogenesis, diagnosis, and treatment of glioblastoma multiforme, as well as to discuss the impact of recent advances in molecular and imaging diagnostics on clinical decision-making. A comprehensive review of recent literature (2018–2025) was conducted, focusing on WHO CNS5 classification updates, novel biomarkers (IDH, TERT, MGMT, EGFR), and modern diagnostic techniques such as liquid biopsy, radiogenomics, and next-generation sequencing (NGS). The results of the review indicate that the introduction of integrated histo-molecular diagnostics in the WHO 2021 classification has significantly increased diagnostic precision, enabling better prognostic and therapeutic stratification of patients. Modern imaging techniques, such as advanced magnetic resonance imaging (MRI), positron emission tomography (PET), and radiomics and radiogenomics tools, allow for more precise assessment of tumor characteristics, prediction of response to therapy, and monitoring of disease progression. Contemporary molecular techniques, including DNA methylation profiling and NGS, enable in-depth genomic and epigenetic analysis, which translates into a more personalized approach to treatment. Despite the use of multimodal therapy, which is based on maximum safe tumor resection followed by radiotherapy and temozolomide chemotherapy, recurrence is almost inevitable. GBM shows a high degree of resistance to treatment, which results from the presence of stem cell subpopulations, dynamic clonal evolution, and the ability to adapt to unfavorable microenvironmental conditions. Promising preclinical and early clinical results show new therapeutic strategies, including immunotherapy (cancer vaccines, checkpoint inhibitors, CAR-T therapies), oncolytic virotherapy, and Tumor Treating Fields (TTF) technology. Although these methods show potential for prolonging survival, their clinical efficacy still needs to be confirmed in large studies. The role of artificial intelligence in the analysis of imaging and molecular data is also increasingly being emphasized, which may contribute to the development of more accurate predictive models and therapeutic decisions. Despite these advancements, GBM remains a major therapeutic challenge due to its high heterogeneity and treatment resistance. The integration of molecular diagnostics, artificial intelligence, and personalized therapeutic strategies that may enhance survival and quality of life for GBM patients. Full article

Background: Cancer-associated fibroblasts (CAFs) are key components of the glioblastoma (GBM) microenvironment and contribute to tumor progression, immune evasion, and therapy resistance. However, their heterogeneity and clinical impact in GBM remain poorly defined. Methods: We performed an integrative transcriptomic analysis combining bulk and single-cell RNA sequencing (scRNA-seq) datasets to characterize CAF subtypes in GBM. Four CAF-associated transcriptional programs were defined based on canonical gene signatures: immune CAFs, myofibroblastic CAFs (myoCAFs), inflammatory CAFs (iCAFs), and antigen-presenting CAFs (apCAFs). Prognostic relevance was assessed using survival analyses, and hub genes were identified through network analysis. Results: CAF subtype-specific gene signatures were significantly associated with poor overall survival. Single-cell analysis revealed spatial heterogeneity of CAF activation, with immune and inflammatory CAF markers enriched in low-stemness tumor cells. SYK was identified as a central hub gene shared across CAF subtypes, suggesting its role in stromal signaling. Conclusions: Our study reveals CAF subtype-associated patterns with prognostic and functional relevance in GBM. Targeting CAF subpopulations and key mediators such as SYK may represent a promising therapeutic strategy in GBM. Full article

Background/Objectives: Glioblastoma (GBM) is a lethal form of primary brain tumor. There has been minimal improvement in overall GBM survival in recent years. To increase survival in patients with GBM, it is important to study novel GBM molecular antigens to form the basis of better diagnostics, prognostic measures, and therapeutic advancements. Our goal is to find more robust GBM-specific antigenic biomarkers to eventually improve GBM outcomes. Here, we initiated an investigation into cell-surface PCNA (csPCNA), a potential GBM biomarker and antigenic target. Methods: We utilized flow cytometry, imaging flow cytometry, and cell-surface Western blot to identify the expression of csPCNA on GBM cell lines (LN-229, LN-18) and a primary patient-derived tumor specimen. We then employed flow cytometry to study the associative co-expression of csPCNA with other biomarkers of GBM stem cells (CD44, CD49f) and GBM immunosuppression (PD-L1, TGFβRII). Results: We elucidated that LN-229, LN-18, and the primary GBM patient cells express csPCNA. We found that csPCNA is co-expressed with CD44, CD49f, PD-L1, and TGFβRII on the primary patient-derived GBM specimen. Conclusions: Our findings that csPCNA is expressed in GBM and is co-expressed with stem cell and immunosuppressive biomarkers indicate that csPCNA may be a potentially useful clinical–pathological biomarker for GBM stemness and immunosuppression. Full article

The development of novel therapeutics for deadly diseases such as glioblastoma (GBM) is bottlenecked by poor preclinical models. GBM is the most common and deadliest primary brain tumor in adults, with an average prognosis of 12–15 months, primarily due to its high cellular heterogeneity and treatment resistance from GBM stem cells. The advancement of in vitro models into organoids, three-dimensional tissue-like modeling systems, has been a promising approach to improving translational medicine for GBM. However, the critical tradeoff between technical convenience and physiological relevance threatens the integrity and reproducibility of GBM organoid (GBO) biomanufacturing. This comprehensive review breaks down and discusses the key features of GBM tumor microenvironment (TME), traces the advancement of in vitro models from two-dimensional cultures to three-dimensional stem cell-derived GBOs, evaluates the process through an engineering perspective (genetic, biochemical, biophysical, and process engineering), and addresses critical translational gaps. Reviewing trends over the last fifteen years in biomanufacturing approaches to GBOs revealed fundamental oversights that address previous review focuses on the limitations of organoids (i.e., maturity, vasculature, and immune defense). To summarize, GBO’s translational gap and reproducibility challenges are rooted in the prioritization of technical convenience over physiological relevance. To achieve clinical relevance, future GBO development must focus on transitioning to fully defined components (excluding animal-derived ECM), developing sufficiently large-sized constructs to recapitulate the full TME, and integrating non-destructive and enhanced functional readouts of the GBOs. Full article

Background: Glioblastomas (GBMs) are the most aggressive and common neoplasms that affect glial cells, presenting rapid growth, invasion, and resistance to treatments. Studies have demonstrated the potentially inhibitory effect of flavonoids on glioblastoma cells’ stemness and viability. However, further research is needed to explore sensitivity and the mechanism of action in chemoresistant cells. Methods: In this study, we characterized the impact of apigenin treatment on the viability and differentiation of human GBM cells in vitro and its effects on tumorigenesis and regulation of the inflammatory response in vivo. Results: The flavonoid apigenin reduced the viability of U-251 cells, patient-derived cells TG-1 and OB-1 stem cells in a dose-dependent manner, associated with the induction of acidic vesicle organelles formation and apoptosis. Treatment with apigenin also inhibited migration and induced neural differentiation in the remaining viable cells, characterized by a decrease in the expression of the precursor marker nestin and an increase in the expression of astrocyte and neuron markers, GFAP and β-III tubulin, respectively. The xenotransplantation of apigenin-pretreated U251 cells into rat brains did not lead to tumor formation, unlike untreated cells. The surrounding area of transplanted untreated U251 cells exhibited reactive microglia and astrocytes, along with increased VEGF expression, which was absent in implant sites of apigenin-pretreated GBM cells. Moreover, in this implant area, we observed a significant decrease in the expression of mRNA for inflammatory factors IL-1β, TNF, and NOS2, and the downregulation of IL-10 and IL-4. Conclusions: These results demonstrate that apigenin inhibits the growth of tumoral cells, affecting the viability of tumor stem cells and impairing tumorigenicity, while altering the regulatory profile of immunomodulatory proteins. Therefore, this flavonoid can be considered for further studies to determine its use as an adjuvant to the treatment of human GBMs. Full article

Immunogenic cell death (ICD) is a specialized form of cell death that triggers antitumor immune responses. In tumors, ICD promotes the release of tumor-associated and tumor-specific antigens, thereby reshaping the immune microenvironment, restoring antitumor immunity, and facilitating tumor eradication. However, the regulatory mechanisms of ICD and its immunological effects vary across tumor types, and a comprehensive understanding remains limited. We systematically analyzed the expression of 34 ICD-related regulatory genes across 33 tumor types. Differential expression at the RNA, copy number variation (CNV), and DNA methylation levels was assessed in relation to clinical features. Associations between patient survival and RNA expression, CNVs, single-nucleotide variations (SNVs), and methylation were evaluated. Patients were stratified into immunological subtypes and further divided into high- and low-risk groups based on optimal prognostic models built using a machine learning framework. We explored the relationships between ICD-related genes and immune cell infiltration, stemness, heterogeneity, immune scores, immune checkpoint and regulatory genes, and subtype-specific expression patterns. Moreover, we examined the influence of immunotherapy and anticancer immune responses, applied three machine learning algorithms to identify prognostic biomarkers, and performed drug prediction and molecular docking analyses to nominate therapeutic targets. ICD-related genes were predominantly overexpressed in ESCA, GBM, KIRC, LGG, PAAD, and STAD. RNA expression of most ICD-related genes was associated with poor prognosis, while DNA methylation of these genes showed significant survival correlations in LGG and UVM. Prognostic models were successfully established for 18 cancer types, revealing intrinsic immune regulatory mechanisms of ICD-related genes. Machine learning identified several key prognostic biomarkers across cancers, among which NT5E emerged as a predictive biomarker in head and neck squamous cell carcinoma (HNSC), mediating tumor–immune interactions through multiple ligand–receptor pairs. This study provides a comprehensive view of ICD-related genes across cancers, identifies NT5E as a potential biomarker in HNSC, and highlights novel targets for predicting immunotherapy response and improving clinical outcomes in cancer patients. Full article

Glioblastoma (GBM) remains the most lethal primary brain tumor, owing to profound intratumoral heterogeneity and the limited efficacy of standard treatments. The mesenchymal (MES) molecular subtype is particularly aggressive, exhibiting heightened invasiveness, therapy resistance, and dismal patient survival compared with the proneural (PN) subtype. Emerging evidence implicates the High Mobility Group Box 1 (HMGB1) protein and its cognate receptor, the Receptor for Advanced Glycation End Products (RAGE), as drivers of malignant progression, yet their contribution to the PN-to-MES transition is incompletely defined. We integrated transcriptomic analyses of TCGA-GBM and TCGA-LGG cohorts with immunohistochemistry on in-house patient specimens. Functional studies in patient-derived and established GBM cell lines included migration and invasion assays, tumorsphere formation assays, shRNA knockdowns, and Seahorse XF metabolic profiling to interrogate the HMGB1-RAGE axis. HMGB1 and RAGE expression was markedly elevated in MES GBM tissues and cell lines. Importantly, higher HMGB1 expression correlated with shortened overall survival (p < 0.009). HMGB1 silencing curtailed cell motility and downregulated core epithelial-to-mesenchymal transition markers (N-cadherin, Snail). RAGE knockdown diminished tumorsphere formation efficiency and reduced transcription of stemness genes (OCT4), underscoring its role in sustaining tumor-initiating capacity. Metabolically, HMGB1/RAGE activation boosted both mitochondrial respiration and glycolysis, conferring the bioenergetic flexibility characteristic of MES GBM. The HMGB1-RAGE signaling axis orchestrates mesenchymal identity, invasiveness, stem cell-like properties, and metabolic reprogramming in GBM. Targeting this pathway may disrupt the PN-to-MES transition, mitigate therapeutic resistance, and ultimately improve outcomes for glioblastoma patients. Full article

Glioblastoma (GBM) is the most common and deadly primary brain tumor in adults. While in vitro patient-derived xenografts (PDX) lines are useful for studying GBM, they often exclude astrocytes and macrophages, which contribute significantly to tumor growth, invasion, and chemoradioresistance. Integrating these cells into tumor models is difficult due to their need for serum, which triggers GBM-PDX lines to lose their stem-like properties. The aim of this study was to develop a serum-free triculture model of GBM-PDX lines, normal human astrocytes (NHAs), and macrophages. Serum-free media alternatives were formulated for NHAs and identified for THP-1 macrophages, then combined with GBM PDX media to establish “PSX,” an experimental maintenance media. Cells were transitioned to serum-free media alternatives and functionally assessed through several parameters unique to each cell type. In addition to assessing GBM “stemness,” a custom 350-gene NanoString chip was used to assess differential gene expression in monocultured PDX cells versus PDX cells exposed to NHAs and macrophages. PSX maintained canonical function in astrocytes and macrophages while preserving the stem-like properties of GBM-PDX cells. Tri-culturing all three cells increased the expression of stemness-associated transcription factors and increased the expression of genes related to stemness and hypoxia in GBM cells. GBM PDX cells exposed to NHAs and macrophages in direct triculture exhibit increases in markers of stemness and hypoxia. These findings suggest that the serum-free triculture model presented herein may better recapitulate the tumoral heterogeneity of GBM in vitro, providing a novel model to utilize in current research. Full article

Glioblastoma (GBM) is one of the deadliest types of cancer, characterized by a short life expectancy after diagnosis, mostly related to therapy resistance and recurrence. GBM stem-like cells (GSCs) reside within the tumor and contribute to these features; therefore, finding drugs that specifically target such cells holds promise to halt GBM progression. The primary objective of this work is to comprehensively review and discuss the potential of hard drug repurposing to target GSCs. Several studies evaluating drugs showing anti-GSC activity, originally approved for non-cancer indications, were identified. These mainly included antidiabetics (e.g., Metformin, Phenformin, and Sitagliptin), antihypertensives (e.g., Nicardipine, Doxazosin, and Prazosin), antimicrobials (e.g., Pyrvinium pamoate, Flubendazole, and Clofazimine), and central nervous system-acting drugs (e.g., Chlorpromazine, Fluvoxamine, and Disulfiram). Relevant candidates include those that disrupt GSC metabolism, namely impairing mitochondrial function, such as Metformin, Chlorpromazine, and Pyrvinium pamoate. Multiple signaling pathways may be involved, namely the Wnt, PI3K/AKT, and STAT3 pathways, among others. Also significant were those drugs tested in combination, resulting in increased sensitivity to Temozolomide (TMZ), the standard pharmacological treatment available for GBM. Some repurposed agents, such as Disulfiram and Metformin, have already reached clinical testing, although none have yet been incorporated into clinical practice. Importantly, major translational barriers remain, like limited blood–brain barrier penetration and the lack of robust clinical trials. In conclusion, drug repurposing is an affordable and suitable strategy to target GSCs, impairing cell viability, reducing stemness, and enhancing their sensitivity to TMZ, which has potential that should be further explored to improve patients’ clinical outcomes. Full article

Glioblastoma (GBM) is an aggressive and highly heterogeneous tumor that frequently recurs despite surgery followed by radio-chemotherapy and, more recently, TTFields. This recurrence is largely driven by glioblastoma stem cells (GSCs), which are intrinsically resistant to standard therapies. Identifying molecular targets that underlie this resistance is therefore critical. Here, we investigated whether the inhibition of FGFR1, previously identified as a key mediator of GBM radioresistance, using pemigatinib, a selective FGFR1–3 inhibitor, could enhance GSC radiosensitivity in vitro and in vivo. Pemigatinib treatment inhibited FGFR1 signaling, promoted proteasome-dependent FGFR1 degradation, and reduced the viability, neurosphere formation, and sphere size in GSCs with unmethylated MGMT, a subgroup known for poor response to standard treatments. In MGMT-unmethylated differentiated GBM cell lines, pemigatinib combined with temozolomide further enhanced radiosensitivity. Transcriptomic analysis revealed that pemigatinib treatment led to the downregulation of S100A4, a biomarker associated with mesenchymal transition, angiogenesis, and immune modulation in GBM. Functional studies confirmed that silencing S100A4 significantly improved GSCs’ response to irradiation. In vivo, pemigatinib combined with localized irradiation produced the longest median survival compared to either treatment alone in mice bearing orthotopic GSC-derived tumors, although the difference was not statistically significant. These findings support further clinical investigation to validate these preclinical findings and determine the potential role of FGFR inhibition as part of multimodal GBM therapy. Full article

Glioblastoma multiforme (GBM), the most aggressive primary brain tumor in adults, has a poor prognosis due to rapid recurrence and treatment resistance. This review examines the evolution of radiotherapy (RT) for GBM management, from whole-brain RT to modern techniques like intensity-modulated RT (IMRT) and volumetric modulated arc therapy (VMAT), guided by 2023 European Society for Radiotherapy and Oncology (ESTRO)-European Association of Neuro-Oncology (EANO) and 2025 American Society for Radiation Oncology (ASTRO) recommendations. The standard Stupp protocol (60 Gy/30 fractions with temozolomide [TMZ]) improves overall survival (OS) to 14.6 months, with greater benefits in O6-methylguanine-DNA methyltransferase (MGMT)-methylated tumors (21.7 months). Tumor Treating Fields (TTFields) extend median overall survival (mOS) to 31.6 months in MGMT-methylated patients and 20.9 months overall in supratentorial GBM (EF-14 trial). However, 80–90% of recurrences occur within 2 cm of the irradiated field due to tumor infiltration and radioresistance driven by epidermal growth factor receptor (EGFR) amplification, phosphatase and tensin homolog (PTEN) mutations, cyclin-dependent kinase inhibitor 2A/B (CDKN2A/B) deletions, tumor hypoxia, and tumor stem cells. Pseudoprogression, distinguished using Response Assessment in Neuro-Oncology (RANO) criteria and positron emission tomography (PET), complicates response evaluation. Targeted therapies (e.g., bevacizumab; PARP inhibitors) and immunotherapies (e.g., pembrolizumab; oncolytic viruses), alongside advanced imaging (multiparametric magnetic resonance imaging [MRI], amino acid PET), support personalized RT. Ongoing trials evaluating reirradiation, hypofractionation, stereotactic radiosurgery, neoadjuvant therapies, proton therapy (PT), boron neutron capture therapy (BNCT), and AI-driven planning aim to enhance efficacy for GBM IDH-wildtype, but phase III trials are needed to improve survival and quality of life. Full article

Background: Glioblastoma multiforme (GBM) represents one of the most aggressive and lethal primary brain malignancies, characterized by rapid proliferation, extensive invasiveness, and a dismal prognosis. Emerging evidence implicates nucleotide-binding oligomerization domain-containing protein 2 (NOD2), an intracellular pattern recognition receptor, as a potential driver of GBM progression. This study investigates NOD2’s role in promoting glioblastoma through its effects on the epithelial–mesenchymal transition (EMT) and cancer stem cell (CSC) markers. Methods: NOD2 expression levels and survival outcomes were assessed using TCGA data from GBM tumor samples (n = 153) and normal brain tissues (n = 5). NOD2 protein expression was validated in glioma cell lines using Western blot and immunofluorescence analyses. Functional studies employed siRNA-mediated NOD2 knockdown to evaluate effects on cellular proliferation, migration, invasion, and colony formation, while correlations between NOD2 and EMT/CSC markers were assessed. Results: The analysis of TCGA data revealed a significantly elevated NOD2 expression in GBM tumors compared to normal brain tissue, with a high NOD2 expression correlating with a reduced disease-free survival in GBM patients. All tested glioma cell lines demonstrated robust NOD2 expression. Functional analyses demonstrated that NOD2 depletion substantially impaired cellular proliferation, migration, invasion, and the colony-forming capacity. Mechanistically, siRNA-mediated NOD2 knockdown significantly decreased the expression of EMT (Snail, SLUG, Vimentin) and CSC markers (CD44, CD133) at both protein and mRNA levels. Conclusions: Our results indicate that NOD2 contributes to GBM progression by influencing EMT and CSC pathways. These findings suggest NOD2’s potential as a therapeutic target in glioblastoma, highlighting the need for further mechanistic studies and therapeutic exploration. Full article