Search Results (82)

Background: The androgen receptor (AR) is a ligand-dependent transcription factor of the nuclear steroid receptor superfamily, implicated in the pathogenesis of various solid tumors. The AR gene, located on chromosome Xq11–12, is accompanied by several X-linked genes that modulate AR expression and function, including FLNA, UXT, and members of the melanoma antigen gene (MAGE) family (MAGEA1, MAGEA11, MAGEC1, MAGEC2). While the AR has been investigated in multiple tumor types, its role in adult-type diffuse gliomas remains largely unexplored. Here, we characterized AR protein expression and the promoter methylation status of the AR and associated regulatory genes in adult-type diffuse gliomas. Methods: A retrospective analysis was conducted on 50 patients with adult-type diffuse gliomas, including IDH-mutant gliomas (grades 2–4) and IDH-wildtype glioblastomas (GBMs), classified according to the 2021 WHO criteria. AR nuclear expression was assessed by immunohistochemistry (IHC). Methylation-specific PCR and quantitative DNA methylation analyses were employed to evaluate promoter methylation of the AR and selected co-regulatory genes. Results: AR nuclear positivity correlated significantly with male sex (p = 0.04) and higher tumor grade, with the highest expression in IDH-wildtype GBMs (p = 0.04). In IDH-mutant gliomas, AR immunoreactivity was more prevalent in astrocytomas than in 1p/19q codeleted oligodendrogliomas (p = 0.02). AR expression was associated with unmethylated MGMT promoter status (p = 0.02). DNA methylation analysis revealed AR gene hypomethylation in tumors displaying nuclear AR positivity and in IDH-wildtype GBMs (Kruskal–Wallis p < 0.05). Additionally, methylation patterns of AR co-regulators located on the X chromosome suggest epigenetic regulation of AR signaling in gliomas. Conclusions: The findings reveal distinct AR pathway activation patterns in adult-type diffuse gliomas, particularly IDH-wildtype GBMs, suggesting that further exploration of antiandrogen therapies is warranted. Full article

Background/Objectives: Astrocytoma, IDH-mutant, CNS WHO grade 3, is a diffuse glioma with poor prognosis, molecularly defined by IDH mutations and frequently co-occurring TP53 and ATRX alterations. This study aimed to delineate the genomic landscape and identify clinically relevant molecular features of astrocytoma, IDH-mutant, CNS WHO grade 3 using this resource. Methods: Patients in the American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange (AACR Project GENIE) database were selected based on histological diagnosis of “anaplastic astrocytoma”, confirmed IDH1/2 mutation, and exclusion of CDKN2A/B homozygous deletions. We analyzed frequencies of somatic mutations, copy number alterations (CNAs), structural variants (SVs), assessed co-occurrence/exclusivity patterns, and explored associations with available demographic and limited survival data. Results: The most common somatic mutations were in IDH1 (98.0%), TP53 (94.8%), and ATRX (55.2%). The observed ATRX mutation frequency was lower than some historical reports (e.g., ~86%). Other recurrent alterations included phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) (6.9%), Notch receptor 1 (NOTCH1) (6.9%), and platelet-derived growth factor receptor alpha (PDGFRA) (mutations 4.3%; CNAs also observed). Conclusions: This study provides a comprehensive genomic characterization of astrocytoma, IDH-mutant, CNS WHO grade 3 using the AACR GENIE database, confirming core mutational signatures while also highlighting potential variations in alteration frequencies, such as for ATRX. The findings establish a valuable real-world genomic benchmark for this tumor type, while promoting the need for continued data integration with robust clinical outcomes to identify actionable prognostic and therapeutic targets. Full article

Diffuse astrocytoma is a primary brain tumor known for its gradual and diffuse infiltration into the surrounding brain tissue. Given this characteristic, the investigation of the peritumoral region holds potential biological and clinical relevance. In this study, ion mobility spectrometry mass spectrometry (IMS MS) was optimized and applied for the first time for the analysis of gangliosides present in the peritumoral tissue of diffuse astrocytoma. Ganglioside profiling and structural characterization were conducted using high-resolution nanoelectrospray ionization (nanoESI) IMS MS, along with tandem mass spectrometry (MS/MS) via low-energy collision-induced dissociation (CID) in the negative ion mode. Using IMS MS-based separation and screening, we observed a greater diversity of ganglioside species in the peritumoral tissue than previously reported. Notably, an elevated expression was detected for several species, including GT1(d18:1/18:0), GT1(d18:1/20:0), GM2(d18:1/16:2), GD1(d18:1/16:0), GD2(d18:1/20:0), Fuc-GT3(d18:1/24:4), and Fuc-GD1(d18:1/18:2). Although preliminary, these observations prompt consideration of whether these species could be implicated in processes such as microenvironmental modulation, tumor cell infiltration and invasion, maintenance of cellular interactions, or regulation of immune responses. Additionally, their potential utility as biomarkers may merit further exploration. In the subsequent phase of the study, structural analysis using IMS MS, CID tandem MS, and fragmentation data supported the identification of GT1b(d18:1/20:0) isomer in the peritumoral tissue. However, given the exploratory nature of the study and reliance on limited sampling, further investigation across broader sample sets is necessary to extend these findings. Full article

Background/Objectives: Adult-type diffuse gliomas, including astrocytoma and glioblastoma multiforme (GBM), are brain tumors with a very poor prognosis. While current treatment options for glioma patients are not providing satisfactory outcomes, research indicates that natural compounds could serve as alternative treatments. However, their low bioavailability requires nanotechnology solutions, such as liposomes. Methods: In this study, we propose the co-encapsulation of acteoside (ACT) with other natural compounds, cannabidiol (CBD) or naringenin (NG), in a cationic liposomal nanoformulation consisting of DOTAP and POPC lipids, which were prepared using the dry lipid film method. The liposomes were characterized by their physicochemical properties, including particle size, zeta potential, and polydispersity index (PDI), with additional analyses performed using ¹H Nuclear Magnetic Resonance (NMR). Furthermore, biological experiments were performed with U-87 MG astrocytoma and U-138 MG GBM cell lines and non-cancerous MRC-5 lung fibroblasts using the MTT assay and evaluating the expression of Bax and Bcl-xL to evaluate their potential as anticancer agents. Conclusions: The IC₅₀ values for the nanoformulations in U-138 MG cells at 48 h were 6 µM for ACT + CBD and 5 µM for ACT + NG. ACT and CBD or NG demonstrated a potential synergistic effect against GBM in a liposomal formulation. Notably, treatment with ACT + CBD (5 µM) and ACT + NG (5 µM) liposomal formulations significantly upregulated Bax protein level in U-138 cells at both 24 and 48 h. In parallel, ACT + CBD (5 µM) also modulated Bcl-xL protein level in both U-138 MG and U-87 MG cell lines at the same time points. The obtained nanoformulations were homogeneous and stable for 21 days, evidenced by a narrow particle size distribution, a low polydispersity index (PDI) < 0.3, and a positive zeta potential. Full article

Background/Objectives: This study evaluates intratumoral susceptibility signals (ITSS) as imaging markers for glioma grade prediction and their association with molecular and histopathologic features, in the context of the fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System (WHO CNS5). Methods: We retrospectively analyzed patients with adult diffuse gliomas who underwent pretreatment magnetic resonance imaging. ITSS were semiquantitatively graded by two radiologists: grade 0 (no signal), grade 1 (1–5), grade 2 (6–10), and grade 3 (≥11). Relative cerebral blood volume (rCBV) and tumor volume were also obtained. Histopathologic features included tumor grade, Ki-67, mitotic count, necrosis, microvascular proliferation, and molecular alterations (isocitrate dehydrogenase [IDH], 1p/19q, cyclin-dependent kinase inhibitors 2A and 2B [CDKN2A/B], and p53). Regression models predicted tumor grade (low: 1–2, high: 3–4) using ITSS, tumor volume, and rCBV. ROC curves and diagnostic performance metrics were analyzed. Results: 99 patients were included. ITSS grading correlated with rCBV, tumor volume, mitotic count, Ki-67, and tumor grade (p < 0.001). ITSS grades 0–1 were associated with oligodendrogliomas and astrocytomas (p < 0.001), IDH mutations (p < 0.001), and 1p/19q co-deletions (p = 0.01). ITSS grades 2–3 were linked to glioblastomas (p < 0.001), necrosis (p < 0.001), microvascular proliferation (p < 0.001), and CDKN2A/B homozygous deletions (p = 0.02). Models combining ITSS with rCBV and volume showed AUC of 0.94 and 0.96 (p < 0.001), outperforming univariate models. Conclusions: Semiquantitative ITSS grading correlates with key histopathologic and molecular glioma features. Combined with perfusion and volumetric parameters, ITSS enhance non-invasive glioma grading, in alignment with WHO CNS5. Full article

Background: Polycystin 1 (PC1) and polycystin 2 (PC2) proteins are members of the transient receptor potential (TRP) channels family and are encoded from PKD1 and PKD2 genes, respectively. Until recently, the role of PKD1 and PKD2 has been associated with the pathogenesis of the kidney since mutations in these genes cause autosomal dominant polycystic kidney disease (ADPKD). Recent data implicates polycystins in the pathogenesis of solid tumors. In this aspect, the expression of PKD1 and PKD2 in human astrocytomas is largely unknown. The aim of the present research study was to investigate the expression of PKD1 and PKD2 in astrocytic tumors and correlate it with clinicopathological characteristics such as the grade of malignancy, age, and gender of the patients. Methods: A total of 70 cases—corresponding to 8 grade II (diffuse fibrillary astrocytomas), 12 grade III (anaplastic astrocytomas), and 50 grade IV (glioblastomas multiforme)—were examined. The mRNA expression levels of PKD1 and PKD2 were determined through molecular qRT-PCR analysis using the relative quantification ΔΔCt method and the expression of PC1 and PC2 was detected through immunohistochemistry using the semi-quantitative H-score system. Results: Increased levels of PKD1 and PKD2 in astrocytomas were found compared with that of a normal brain (p < 0.05). Glioblastomas demonstrated the greatest increase in PKD1 and PKD2 expression compared to other grades of malignancy (p < 0.05). The same pattern of expression showed PC1 and PC2 proteins. A significant correlation between PKD1 and PKD2 as well as PC1 and PC2 expressions was found (p < 0.05). Although no association was detected between PC1 or PC2 and Ki67 expression (p > 0.05), a significant correlation between PC1 and p53 immunoexpressions, in grade III and between PC2 and p53 immunoexpressions, in grade II astrocytomas (p < 0.01) has emerged. PC1 expression was correlated with age of the patients (p < 0.05). PKD1 and PKD2 expression were negatively correlated with the prognosis of glioma patients. Conclusions: The results of this study indicate the potential involvement of polycystins in the pathogenesis of astrocytomas. However, further research is required to fully understand the mechanisms that these molecules are implicated. Full article

Background/Objectives: The purpose of this study was to evaluate the performance of diffusion kurtosis imaging (DKI), neurite orientation dispersion and density imaging (NODDI), and diffusion microstructure imaging (DMI) in differentiating molecular subtypes of adult-type gliomas. Methods: Standardized MRI was performed and evaluated in 59 patients with adult-type glioma. DKI, NODDI, and DMI parameter values were quantitatively evaluated in ROIs in contrast-enhancing/solid tumor tissue and five concentric shells with peritumoral tissue. DKI, NODDI, and DMI parameters of (i) glioblastomas, Isocitrate dehydrogenase (IDH) wildtype; (ii) astrocytomas, IDH mutant; and (iii) oligodendrogliomas, IDH mutant were compared with analysis of variance (ANOVA). Receiver operating characteristic curve (ROC) curve analysis was conducted to discriminate firstly between IDH mutant and IDH wildtype gliomas and then between IDH mutant astrocytomas and oligodendrogliomas. Results: Significant differences between the three aforementioned subtypes were found for the apparent diffusion coefficient (ADC) and mean kurtosis (MK) and again for the orientation dispersion index (ODI) and intra-axonal volume fraction (v-intra). The diagnostic accuracy depended on the distance to the contrast-enhancing/solid tumor tissue. Some NODDI and DMI parameters significantly predicted the IDH status and significantly discriminated between astrocytomas and oligodendrogliomas; however, ADC and MK showed the best prediction in both ROC analyses (maximum AUC 0.910 (CI 0.824–0.995)). Conclusions: The evaluation of peritumoral tissue can be a valuable procedure, while NODDI and DMI appear to be promising but are currently inferior to DKI in predicting glioma subtypes categorized according to the WHO 2021 classification. Full article

Background/Objectives: The non-invasive identification of glioma subtypes is useful for initial diagnosis, treatment planning, and follow-up. The aim of this study was to evaluate the performance of diffusion kurtosis imaging (DKI) and dynamic contrast-enhanced (DCE)-MRI in differentiating subtypes of adult-type diffuse gliomas. Methods: In a prospective multicenter study, standardized MRI was analyzed in 59 patients with adult-type diffuse glioma. DKI and DCE-MRI parameter values were quantitatively evaluated in ROIs of contrast-enhancing/solid tumor and four concentric shells of peritumoral tissue. The parameter means of glioblastomas, IDH wildtype; astrocytomas, IDH mutant; and oligodendrogliomas, IDH mutant were compared. Binary logistic regression analyses were performed to differentiate between IDH mutant and IDH wildtype gliomas and between IDH mutant astrocytomas and oligodendrogliomas. ROC curves were analyzed for each parameter and for combined regression. Results: Significant differences between the three aforementioned subtypes were found for the DKI and DCE-MRI parameters, depending on the distance to the tumor core. A combination of the parameters’ apparent diffusion coefficient (ADC) and fractional volume of extravascular extracellular space (ve) revealed the best prediction of IDH mutant vs. wildtype gliomas (AUC = 0.976 (0.943–1.000)) and astrocytomas vs. oligodendrogliomas (AUC = 0.840 (0.645–1.000)) with the lowest Akaike information criterion. Conclusions: The combined evaluation of DKI and DCE-MRI at different distances to the contrast-enhancing/solid tumor seems to be helpful in predicting glioma subtypes according to the WHO 2021 classification. Full article

Gliomas, ranging from low-grade pilocytic astrocytomas to highly malignant glioblastomas, are primary brain tumors that originate from neural or glial stem cells. Classified by the WHO into grades 1 to 4, these tumors exhibit varying prognoses, with oligodendrogliomas and astrocytomas having better and intermediate outcomes, respectively, while glioblastomas are associated with a poor prognosis. Despite advancements in molecular and genetic research that have improved diagnosis and the development of targeted therapies, treating high-grade gliomas remains a significant challenge due to their diffuse nature. In this context, lectins, carbohydrate-binding proteins, have shown promise as diagnostic and therapeutic agents for cancer, including gliomas. Plant lectins, particularly those from legumes, exhibit significant antiproliferative effects on glioma cells. These effects include decreased cell viability and migration, alongside the induction of autophagy and apoptosis, suggesting their potential as therapeutic agents. Although the mechanisms underlying these effects are not yet fully understood, molecular targets and pathways involved in the antiglioma activity of lectins have been identified. Key targets include matrix metalloproteinases (MMPs), epidermal growth factor receptor (EGFR), CD98 (xc^- system), AMPA receptor, and CD73. This review focuses on the antiglioma potential of legume lectins, their applications, and the main molecular targets based on their functions, structures, and associated molecular mechanisms. Full article

Adult-type diffuse gliomas are characterized by inevitable recurrence and very poor prognosis. Novel treatment options, including multimodal drugs or effective drug combinations, are therefore eagerly awaited. Tinostamustine is an alkylating and histone deacetylase inhibiting molecule with great potential in cancer treatment. Thus, the aim of this study was to investigate its effects on glioma cells. In this context, tinostamustine was evaluated in monotherapy and as a combination therapy, with either celecoxib or temozolomide; additionally, the results were compared to the golden glioma chemotherapy standard—temozolomide. Our experiments, conducted on both temozolomide-sensitive U-87 MG astrocytoma and temozolomide-resistant U-138 MG glioblastoma cells revealed that tinostamustine and its combination with either celecoxib or temozolomide exert dose-dependent cytotoxicity, cause cell cycle arrest, induce oxidative stress-mediated apoptosis of malignant glioma cells, and mitigate their migratory potential. Astrocytoma cells were more susceptible to the tested treatments than glioblastoma cells, and, generally, those dual therapies were superior in anti-glioma efficacy compared to temozolomide. Overall, our study provides evidence that tinostamustine and the combination therapies consisting of tinostamustine and celecoxib or tinostamustine and temozolomide may represent a new approach for the effective treatment of malignant gliomas. Full article

The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: IDH1/2, ATRX, TP53 mutations, TERT promoter mutations, CDKN2A/B homozygous deletion (CHD), EGFR amplification (EGFRamp), 7 gain/10 loss (7+/10−), 1p/19q co-deletion, and MGMT promoter methylation. GLISP consists of a pair of patch-level GLISP-P and patient-level GLISP-W models, each pair of which is for a genetic prediction task, providing flexibility in clinical utility. In this study, the Cancer Genome Atlas whole-slide images (WSIs) were used to train the model. A total of 108 WSIs from the Tokyo Women’s Medical University were used as the external dataset. In cross-validation, GLISP yielded patch-level/case-level predictions with top performances in IDH1/2 and 1p/19q co-deletion with average areas under the curve (AUCs) of receiver operating characteristics of 0.75/0.79 and 0.73/0.80, respectively. In external validation, the patch-level/case-level AUCs of IDH1/2 and 1p/19q co-deletion detection were 0.76/0.83 and 0.78/0.88, respectively. The accuracy in diagnosing IDH-mutant astrocytoma, oligodendroglioma, and IDH-wild-type glioblastoma was 0.66, surpassing the human pathologist average of 0.62 (0.54–0.67). In conclusion, GLISP is a two-stage AI framework for histology-based prediction of genetic events in adult gliomas, which is helpful in providing essential information for WHO 2021 molecular diagnoses. Full article

Early detection and precise characterization of brain tumors play a crucial role in improving patient outcomes and extending survival rates. Among neuroimaging modalities, magnetic resonance imaging (MRI) is the gold standard for brain tumor diagnostics due to its ability to produce high-contrast images across a variety of sequences, each highlighting distinct tissue characteristics. This study focuses on enabling multimodal MRI sequences to advance the automatic segmentation of low-grade astrocytomas, a challenging task due to their diffuse and irregular growth patterns. A novel mutual-attention deep learning framework is proposed, which integrates complementary information from multiple MRI sequences, including T2-weighted and fluid-attenuated inversion recovery (FLAIR) sequences, to enhance the segmentation accuracy. Unlike conventional segmentation models, which treat each modality independently or simply concatenate them, our model introduces mutual attention mechanisms. This allows the network to dynamically focus on salient features across modalities by jointly learning interdependencies between imaging sequences, leading to more precise boundary delineations even in regions with subtle tumor signals. The proposed method is validated using the UCSF-PDGM dataset, which consists of 35 astrocytoma cases, presenting a realistic and clinically challenging dataset. The results demonstrate that T2w/FLAIR modalities contribute most significantly to the segmentation performance. The mutual-attention model achieves an average Dice coefficient of 0.87. This study provides an innovative pathway toward improving segmentation of low-grade tumors by enabling context-aware fusion across imaging sequences. Furthermore, the study showcases the clinical relevance of integrating AI with multimodal MRI, potentially improving non-invasive tumor characterization and guiding future research in radiological diagnostics. Full article

Background: Astrocytoma, an IDH-mutant is a common primary brain tumor. Total surgical resection is not feasible due to peritumoral infiltration mediated by extracellular matrix (ECM) molecules. Methods: This study aimed at determining the expression pattern of ECM molecules in different prognostic groups of WHO grade 2 and grade 3 patients and identifying the effect of onco-radiotherapy on tumor cell invasion of grade 3 patients. Gene and protein expression of ECM molecules was determined by qRT-PCR and immunohistochemistry, respectively. Results: In the different prognostic groups of grade 2 tumors HMMR, IDH-1, MKI-67, PDGF-A and versican, in grade 3 tumors integrin α-3, and in both groups integrin α-3 and IDH-1 mRNA expression was significantly different. Regarding protein expression, only integrin αV expression changed significantly in the prognostic groups of grade 2 tumors. Conclusions: Based on the invasion spectrum determined by this joint gene and protein expression analysis, there was a sensitivity of 87.5% and a negative predictive value of 88.9% regarding the different prognostic groups of grade 2 astrocytoma. For grade 3 tumors, the applied standard oncotherapeutic modalities apparently lacked significant anti-invasive effects. Full article

This case report delves into the case of a 56-year-old female patient presenting with progressive cephalalgia syndrome, nausea, vomiting, and gait disorders, diagnosed with a high-grade thalamic glioma. Glioma is the most common form of central nervous system (CNS) neoplasm that originates from glial cells. Gliomas are diffusely infiltrative tumors that affect the surrounding brain tissue. Glioblastoma is the most malignant type, while pilocytic astrocytomas are the least malignant brain tumors. In the past, these diffuse gliomas were classified into different subtypes and grades based on histopathologies such as a diffuse astrocytoma, oligodendrogliomas, or mixed gliomas/oligoastrocytomas. Currently, gliomas are classified based on molecular and genetic markers. After the gross total resection, a postoperative brain CT scan was conducted, which confirmed the quasi-complete resection of the tumor. The successful gross total resection of the tumor in this case, coupled with significant neurological improvement postoperatively, illustrates the potential benefits of aggressive surgical management for thalamic gliomas. This report advocates for further research to assess the efficacy of such interventions in malignant cases and to establish standardized treatment protocols, considering the heterogeneity in prognostic outcomes and the advancements in molecular diagnostics that offer deeper insights into glioma oncogenesis and progression. Full article

The serotonin 5-HT₆ receptor (5-HT₆R), expressed almost exclusively in the brain, affects the Cdk5 signaling as well as the mTOR pathway. Due to the association of 5-HT₆R signaling with pathways involved in cancer progression, we decided to check the usefulness of 5-HT₆R ligands in the treatment of CNS tumors. For this purpose, a new group of low-base 5-HT₆R ligands was developed, belonging to arylsulfonamide derivatives of cyclic arylguanidines. The selected group of molecules was also tested for their antiproliferative activity on astrocytoma (1321N1) and glioblastoma (U87MG, LN-229, U-251) cell lines. Some of the molecules were subjected to ADMET tests in vitro, including lipophilicity, drug binding to plasma proteins, affinity for phospholipids, drug–drug interaction (DDI), the penetration of the membrane (PAMPA), metabolic stability, and hepatotoxicity as well as in vivo cardiotoxicity in the Danio rerio model. Two antagonists with an affinity constant K_i < 50 nM (PR 68 K_i = 37 nM) were selected. These compounds were characterized by very high selectivity. An analysis of pharmacokinetic parameters for the lead compound PR 68 confirmed favorable properties for administration, including passive diffusion and acceptable metabolic stability (metabolized in 49%, MLMs). The compound did not exhibit the potential for drug–drug interactions. Full article