Therapeutic Target For Glioma Research Articles

DIPG-85. MALT1 IN H3K27-ALTERED DIFFUSE MIDLINE GLIOMA

Abstract BACKGROUND H3K27-altered diffuse midline glioma (DMG) is a devastating pediatric brainstem tumor that affects 200-300 individuals in the US per year. Median survival is 9-11 months, and there are virtually no long-term survivors. Despite decades of clinical trials, radiation therapy remains standard of care, extending survival by 2-3 months. Elucidating the mechanisms that drive H3K27-altered DMG pathogenesis in order to uncover therapeutic vulnerabilities is of critical importance. Recent studies implicate MALT1 as a potential therapeutic target in gliomas. MALT1 is the effector molecule of the CARMA-BCL10-MALT1 (CBM) signalosome, a cytoplasmic protein complex that drives downstream pro-survival transcriptional activity. MALT1, which possesses scaffolding and protease functions, promotes cell viability, proliferation, and migration/invasion in multiple cancer types. We aim to evaluate the hypotheses that MALT1 promotes DMG cancer cell proliferation and migration and that MALT1 inhibition will abrogate tumor progression. METHODS/RESULTS We screened a panel of cells including astrocytes, neural stem cells, and DMG cell lines by Western blot and found that CBM complex members BCL10 and MALT1 are present in all cells tested. We next demonstrated that MALT1 is proteolytically active in DMG cell lines SF8628 and HSJD-DIPG-007. Specifically, we showed cleavage of the MALT1 protease substrate HOIL, which was abrogated by treatment with the MALT1 protease inhibitor MLT-748. We next generated multiple dox-inducible MALT1 shRNA DMG cell lines to assess the impact of MALT1 deficiency on DMG biology. Thus far, we find that shRNA knockdown of MALT1 does not impact SF8628 cell proliferation. CONCLUSIONS MALT1 is expressed and proteolytically active in DMG cells. Initial studies show that MALT1 knockdown does not affect proliferation of SF8628 cells. We will next evaluate the effect of MALT1 knockdown on proliferation of additional DMG cell lines, as well as the impact on other malignant features of DMG cells including migration/invasion.

Multi-omics Analysis Revealed that the CCN Family Regulates Cell Crosstalk, Extracellular Matrix, and Immune Escape, Leading to a Poor Prognosis of Glioma.

The CCN family is a group of matricellular proteins associated with the extracellular matrix. This study aims to explore the role of the CCN family in glioma development and its implications in the tumor microenvironment. Through analysis of bulk RNA-seq cohorts, correlations between CCN family expression and glioma subtypes, patient survival, and bioactive pathway enrichment were investigated. Additionally, single-cell datasets were employed to identify novel cell subgroups, followed by analyses of cell communication and transcription factors. Spatial transcriptomic analysis was utilized to validate the CCN family's involvement in glioma. Results indicate overexpression of CYR61,CTGF, and WISP1 in glioma, associated with unfavorable subtypes and reduced survival. Enrichment analyses revealed associations with oncogenic pathways, while CTGF and WISP1 expression correlated with increased infiltration of regulatory T cells and M2 macrophages. Single-cell analysis identified MES-like cells as the highest CCN expression. Moreover, intercellular signal transduction analysis demonstrated active pathways, including SPP1-CD44, in cell subgroups with elevated CYR61 and CTGF expression. Spatial transcriptomic analysis confirmed co-localization of CYR61,CTGF and SPP1-CD44 with high oncogenic pathway activity. These findings suggest that CCN family members may serve as potential prognostic biomarkers and therapeutic targets for glioma.

GNB4 Silencing Promotes Pyroptosis to Inhibit the Development of Glioma by Activating cGAS-STING Pathway.

The induction of immunogenic cell death is a promising therapeutic option for gliomas. Pyroptosis is a type of programmed immunogenic cell death and its role in gliomas remains unclear. Differentially expressed genes (DEGs) were obtained from GSE4290 and GSE31262 datasets. Hub genes were screened from protein-protein interaction networks and assessed using principal component analysis and receiver operating characteristic curves. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to measure the mRNA expression of hub genes. Pyroptosis and pathway-related proteins were assessed using western blotting. Inflammatory factor levels were determined using enzyme-linked immunosorbent assay. The effect of guanine nucleotide-binding protein-4 (GNB4) on proliferation, migration, and invasion was evaluated using a cell viability test kit and wound-healing and transwell assays. In total, 202 DEGs were identified. Among them, F2R, GNG4, GNG3, PRKCB, and GNB4 were identified as hub genes in gliomas after comprehensive bioinformatics analysis. GNB4 was significantly upregulated in glioma cells compared to normal brain glial cells. Silencing GNB4 significantly inhibited proliferation, invasion, and migration of glioma cells. The expression of pyroptosis-related proteins increased after GNB4 silencing, with elevated levels of inflammatory factors. Pyroptosis inhibitors reversed the inhibitory effects of GNB4 silencing on cell proliferation, migration, and invasion. Additionally, GNB4 silencing activated the cGAS-STING pathway. Treatment with a cGAS-STING pathway inhibitor reversed the inhibition of proliferation, migration, and invasion while downregulating the expression of pyroptosis-related proteins. Silencing GNB4 promotes pyroptosis and thus inhibits the proliferation, migration, and invasion of glioma cells by activating the cGAS-STING pathway, which is a promising biomarker and therapeutic target for glioma.

Identification of Population-Specific Novel Protein Biomarkers and Possible Therapeutic Targets in Gliomas by Proteomics Approach

Abstract Objective To analyze the differential proteomic profile of gliomas in patients from South India and to identify novel protein glioma biomarkers and possible therapeutic targets to tailor the treatment to individual patients. Material and Methods We have prospectively analyzed the differential proteomic profile of 34 patients with glioma imaging characteristics and compared them with that of normal brain tissue. This research was conducted at the Institute of Neurosurgery, Madras Medical College, in technical collaboration with the Indian Institute of Technology, Madras, over 1 year. Statistical Analysis Biological variate analysis (I-ANALYSIS OF VARIANCE (ANOVA)) was used, with p-value less than 0.05 being significant. Results Twenty proteins (10 upregulated and 10 downregulated) were differentially expressed in tumor tissue. The expression of three pro-apoptotic proteins was downregulated and the expression of three anti-apoptotic proteins was upregulated with statistical significance. The cellular functions of the 20 differentially regulated proteins were subjected to pathway analysis revealing significant alterations in heme biosynthesis, deoxyribonucleic acid (DNA) replication, fibroblast growth factor (FGF) signaling, and epidermal growth factor (EGF0 receptor signaling in glioma. Conclusion KRT18, PRS4, and EF1A2 are anti-apoptotic proteins and are significantly upregulated in gliomas. EARS2, COX5A, and LSM3 are pro-apoptotic proteins, and are significantly downregulated in gliomas. This subverts the apoptotic pathways resulting in prolonged cell survival. This study's statistically significant dysregulation of these six proteins was unique, suggesting that they might be considered population-specific biomarkers and possible therapeutic targets for patients from South India. Abnormalities of heme biosynthesis at the proteomic level were identified in this study, which has not been very well studied previously.

YANK2 activated by Fyn promotes glioma tumorigenesis via the mTOR-independent p70S6K activation pathway

Glioma, particularly glioblastomas (GBM), is incurable brain tumor. The most targeted receptor tyrosine kinase (RTKs) drugs did not bring benefit to GBM patients. The mechanism of glioma growth continues to be explored to find more effective treatment. Here, we reported that Ser/Thr protein kinase YANK2 (yet another kinase 2) is upregulated in glioma tissues and promotes the growth and proliferation of glioma in vitro and in vivo. Further, we confirmed that oncogene Fyn directly activated YANK2 through phosphorylation its Y110, and Fyn-mediated YANK2 phosphorylation at Y110 site promotes glioma growth by increasing its stability. Finally, YANK2 was proved to be a novel upstream kinase of p70S6K and promotes glioma growth by directly phosphorylating p70S6K at T389. Taken together, we found a new mTOR-independent p70S6K activation pathway, Fyn-YANK2-p70S6K, which promotes glioma growth, and YANK2 is a potential oncogene and serves as a novel therapeutic target for glioma.

Comprehensive analysis of the REST transcription factor regulatory networks in IDH mutant and IDH wild-type glioma cell lines and tumors

The RE1-silencing transcription factor (REST) acts either as a repressor or activator of transcription depending on the genomic and cellular context. REST is a key player in brain cell differentiation by inducing chromatin modifications, including DNA methylation, in a proximity of its binding sites. Its dysfunction may contribute to oncogenesis. Mutations in IDH1/2 significantly change the epigenome contributing to blockade of cell differentiation and glioma development. We aimed at defining how REST modulates gene activation and repression in the context of the IDH mutation-related phenotype in gliomas. We studied the effects of REST knockdown, genome wide occurrence of REST binding sites, and DNA methylation of REST motifs in IDH wild type and IDH mutant gliomas. We found that REST target genes, REST binding patterns, and TF motif occurrence proximal to REST binding sites differed in IDH wild-type and mutant gliomas. Among differentially expressed REST targets were genes involved in glial cell differentiation and extracellular matrix organization, some of which were differentially methylated at promoters or gene bodies. REST knockdown differently impacted invasion of the parental or IDH1 mutant glioma cells. The canonical REST-repressed gene targets showed significant correlation with the GBM NPC-like cellular state. Interestingly, results of REST or KAISO silencing suggested the interplay between these TFs in regulation of REST-activated and repressed targets. The identified gene regulatory networks and putative REST cooperativity with other TFs, such as KAISO, show distinct REST target regulatory networks in IDH-WT and IDH-MUT gliomas, without concomitant DNA methylation changes. We conclude that REST could be an important therapeutic target in gliomas.

High Expression of KIFC1 in Glioma Correlates with Poor Prognosis.

Kinesin family member C1 (KIFC1), a non-essential kinesin-like motor protein, has been found to serve a crucial role in supernumerary centrosome clustering and the progression of several human cancer types. However, the role of KIFC1 in glioma has been rarely reported. Thus, the present study aimed to investigate the role of KIFC1 in glioma progression. Online bioinformatics analysis was performed to determine the association between KIFC1 expression and clinical outcomes in glioma. Immunohistochemical staining was conducted to analyze the expression levels of KIFC1 in glioma and normal brain tissues. Furthermore, KIFC1 expression was knocked in the glioma cell lines, U251 and U87MG, and the functional roles of KIFC1 in cell proliferation, invasion and migration were analyzed using cell multiplication, wound healing and Transwell invasion assays, respectively. The autophagic flux and expression levels matrix metalloproteinase-2 (MMP2) were also determined using imaging flow cytometry, western blotting and a gelation zymography assay. The results revealed that KIFC1 expression levels were significantly upregulated in glioma tissues compared with normal brain tissues, and the expression levels were positively associated with tumor grade. Patients with glioma with low KIFC1 expression levels had a more favorable prognosis compared with patients with high KIFC1 expression levels. In vitro, KIFC1 knockdown not only inhibited the proliferation, migration and invasion of glioma cells, but also increased the autophagic flux and downregulated the expression levels of MMP2. Upregulation of KIFC1 expression may promote glioma progression and KIFC1 may serve as a potential prognostic biomarker and possible therapeutic target for glioma.

GPR27 expression correlates with prognosis and tumor progression in gliomas.

Glioma is a highly aggressive type of brain tumor, and its prognosis is still poor despite recent progress in treatment strategies. G protein-coupled receptor 27 (GPR27) is a member of the G protein-coupled receptor family and has been reported to be involved in various cellular processes, including tumor progression. Nevertheless, the clinical potential and tumor-related role of GPR27 in glioma remain unknown. Here we aimed to explore the function and role of GPR27 in gliomas. In the current study, we evaluated the expression and clinical significance of GPR27 in gliomas using data from The Cancer Genome Atlas (TCGA) datasets. We also conducted cellular experiments to evaluate the functional role of GPR27 in glioma cell growth. We found that GPR27 expression level was closely associated with disease status of glioma. Of note, GPR27 was negatively correlated with WHO grade, with grade IV samples showing the lowest GPR27 levels, while grade II samples showed the highest levels. Patients with IDH mutation or 1p/19q co-deletion exhibited higher GPR27 levels. In addition, lower GPR27 levels were correlated with higher death possibilities. In cellular experiments, we confirmed that GPR27 inhibited glioma cell growth. Our results indicate that GPR27 may function as a potential prognostic biomarker and therapeutic target in gliomas. Further studies are needed to illustrate the signaling mechanism and clinical implications of GPR27 in gliomas.

Vasorin exocytosed from glioma cells facilitates angiogenesis via VEGFR2/AKT signaling pathway.

Glioma is a highly vascularized tumor of the central nervous system. Angiogenesis plays a predominant role in glioma progression and is considered an important therapeutic target. Our previous study showed that vasorin (VASN), a transmembrane protein, is overexpressed in glioma and promotes angiogenesis; however, the potential mechanism remains unclear. In this study, we found that human vascular endothelial cells (hECs) co-cultured with VASN-overexpressing glioma cells exhibited accelerated migration ability and increased expression of VASN originated from glioma cells. VASN was found in exosomes secreted by glioma cells and could be taken up by hECs. hECs showed more edge filopodia and significantly upregulated expression of endothelial tip cell marker gene and protein levels after co-culture with VASN-overexpressing glioma cells. In clinical glioma tissue and orthotopic transplantation glioma tissue, the vascular density and the number of vascular endothelial cells with a tip cell phenotype in VASN-overexpressed tissues were significantly higher than in tissues with low expression. At the molecular level, VASN interacted with VEGFR2 and caused internalization and autophosphorylation of VEGFR2 protein, and then activated the AKT signaling pathway. Our study collectively reveals the function and mechanism of VASN in facilitating angiogenesis in glioma, providing a new therapeutic target for glioma. Implications: These findings demonstrate that VASN exocytosed from glioma cells enhanced the migration of vascular endothelial cells by VEGFR2/AKT signaling pathway.

UBA2 as a Prognostic Biomarker and Potential Therapeutic Target in Glioma.

Gliomas are characterized by aggressive behavior, leading to severe disability and high mortality. Ubiquitin-like modifier activating enzyme 2 (UBA2) is a subunit of the E1-activating enzyme involved in the SUMOylation (SUMO, small ubiquitin-related modifier) of numerous proteins. Although the abnormality of UBA2 is linked to the progression of various tumor types, the role of UBA2 in glioma is still unknown. A bioinformatic analysis using several public databases was conducted to examine the expression level, clinicopathological correlations, and prognostic significance of UBA2 in glioma. The correlation between UBA2 expression and drug sensitivity in cancers was also explored. Multiple cellular experiments were conducted to validate the role of UBA2 in glioma. Analysis of multiple databases and cellular experiments revealed that UBA2 was overexpressed in glioma tissues and cell lines, respectively. UBA2 expression in gliomas correlated with World Health Organization (WHO) grade, IDH gene status, 1p19q deletion, histological type, and immune cell infiltration in glioma. UBA2 expression in carcinomas also correlated with drug sensitivity. Kaplan-Meier analysis revealed that high expression of UBA2 predicted poorer survival in glioma patients. A nomogram model containing UBA2 expression was constructed for clinical practice. Knockdown of UBA2 was observed to suppress glioma cell progression and sensitize glioma cells to irradiation in vitro. Overall, this research showed that UBA2 might be involved not only in the development of glioma but also in the regulation of immunity, drug sensitivity, and radiosensitivity. Therefore, UBA2 may be a potential target for therapy and a candidate biomarker for glioma diagnosis and prognosis.

Comprehensive analysis of CYBB as a prognostic marker and therapeutic target in glioma: A bioinformatics approach

BackgroundIn the central nervous system, glioma is the most common malignant tumor, and patients have a poor prognosis. Identification of novel marker genes and establishment of prognostic models are important for early diagnosis and prognosis determination. MethodsDownload glioma data from the CGGA and TCG databases. Application of bioinformatics to analyze the impact of CYBB on the clinicopathological characteristics, immunological features and prognosis of gliomas. Using single-cell sequencing data from 7 glioblastoma patients in the CGGA database, the role of CYBB in the tumor microenvironment was analyzed. In addition, a prognostic model was constructed based on CYBB high and low differentially expressed genes and mitochondrial genes. ResultsThe expression of CYBB is closely related to various clinical features, immune cell infiltration level, immune checkpoint and survival time of patients. A 10-gene prediction model was constructed based on the differentially expressed genes of low and high CYBB and mitochondria-related genes. Glioma patients with higher risk scores had significantly lower survival probabilities. Receiver operating characteristic curves and nomograms were plotted over time to show the predictive accuracy and predictive value of the 10-gene prognostic model. ConclusionsOur study shows that CYBB is strongly correlated with clinical characteristics features and prognosis of glioma patients, and can be used as a potential therapeutic target. Prognostic models based on CYBB and mitochondrial genes have good performance in predicting prognosis of glioma patients.

Gene Expression of GABAA Receptor Subunits and Association with Patient Survival in Glioma.

Rapid neuronal inhibition in the brain is mediated by γ-aminobutyric acid (GABA) activation of GABAA receptors. The GABRA5 gene, which encodes the α5 subunit of the GABAA receptor, has been implicated in an aggressive subgroup of medulloblastoma (MB), a type of pediatric brain tumor. However, the possible role of GABAA receptor subunits in glioma remains poorly understood. Here, we examined the expression of genes encoding GABAA receptor subunits in different types of glioma, and its possible association with patient prognosis assessed by overall survival (OS). Data were obtained from the French and The Cancer Genome Atlas Brain Lower Grade Glioma (TCGA-LGG) datasets and analyzed for expression of GABAA receptor subunit genes. OS was calculated using the Kaplan-Meier estimate. We found that genes GABRA2, GABRA3, GABRB3, GABRG1, and GABRG2 showed a significant association with OS, with higher gene expression indicating better prognosis. In patients with GBM, high expression of GABRA2 was associated with shorter OS, whereas, in contrast, higher levels of GABRB3 were associated with better prognosis indicated by longer OS. In patients with lower grade gliomas, GABRA3, GABRB3, GABRG1, and GABRG2, were associated with longer OS. High GABRB3 expression was related to longer survival when low grade glioma types were analyzed separately. Our results suggest an overall association between higher expression of most genes encoding GABAA receptor subunits and better prognosis in different types of glioma. Our findings support the possibility that down-regulation of GABAA receptors in glioma contributes to promoting tumor progression by reducing negative inhibition. These findings might contribute to further evaluation of GABAA receptors as a therapeutic target in glioma.

Abstract A012: EZH2 as a therapeutic target for glioma

Abstract Diffuse midline glioma (DMG), a highly aggressive pediatric brain cancer, and glioblastoma multiforme (GBM), an intractable disease, pose significant clinical challenges. DMG is characterized by a dishearteningly short median survival period of 15 months, and GBM by a low five-year survival rate of merely 6.9 percent. A critical player in these malignancies is Enhancer of zeste homologue 2 (EZH2), a subunit of the polycomb repressive complex 2 (PRC2) that catalyzes histone 3 Lysine 27 tri-methylation (H3K27Me3). This modification suppresses gene expression, orchestrating cell fate. Dysregulated EZH2, linked to both solid and hematological malignancies, including brain cancers, heralds a poor prognosis. DMG presents a heterozygous H3K27M mutation that cripples EZH2 functionality, causing epigenetic dysregulation via H3K27Me3 loss. However, intriguingly, DMG retains residual H3K27Me3 on certain genes, propelling gliomagenesis. EZH2 overexpression in GBM and persisting H3K27Me3 in DMG underscore the malignancy. Therefore, EZH2 has emerged as a potential therapeutic target for gliomas. Despite this promise, targeted inhibitors often fail in clinical trials, thwarted by off-target effects and consequential toxicity. EZH2 inhibitors GSK126 and GSK343 were halted in trials due to their harmful side effects. Meanwhile, EPZ-6438, a more selective EZH2 inhibitor, received FDA approval for treating follicular lymphoma and advanced epithelioid sarcoma. However, recent studies found survival prolongation but subsequent recurrence and resistance in a pediatric brain tumor PDX model with high EZH2 expression treated with EPZ-6438. Recurred tumor cells exhibited minimal EZH2 expression and reduced H3K27Me3 levels, suggesting EPZ-6438 resistance. To delve into these findings, we utilized CRISPR/Cas9 technology to establish EZH2 knockout DMG and GBM cells, and subsequently examined the target specificity and anti-cancer potential of GSK126, GSK343, and EPZ-6438. Our investigations unveiled that both GSK126 and GSK343 induced cell death in EZH2 knockout DMG and GBM cells and non-transformed human cells, indicating detrimental off-target effects. In contrast, EPZ-6438 did not trigger cell death in EZH2 knockout cells but only moderately inhibited the growth of DMG and GBM cells, but also failed to fully suppress H3K27Me3. By establishing EZH2 knockout models, we have provided a platform for understanding the nuanced interactions of these drugs with glioma cells, with potential implications for refining therapeutic strategies for glioma. Our study opens a window into the influence of EZH2 inhibitor and H3K27Me3 loss on glioma cells devoid of EZH2 expression. These findings offer vital insights for discerning which glioma subsets could be effectively treated with EZH2 inhibitors and the genes and pathways regulated by H3K27Me3 enriching our therapeutic strategies against these formidable cancers. Citation Format: Lukmanul Hakkim Faruck, Charles Day, Suraj Bhattarai, Alyssa Langfald, Edward Hinchcliffe, James Robinson. EZH2 as a therapeutic target for glioma [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 A012.

Abstract A010: Prostate-specific membrane antigen use in glioma management: past, present, and future

Abstract Introduction: Prostate-Specific Membrane Antigen (PSMA) is a type II membrane-bound zinc metallopeptidase expressed in various tissues, including the prostate, renal tubular epithelium, small and large intestinal mucosa, and brain. It plays a role in cell proliferation pathways and folate and glutamate metabolism. PSMA has been utilized for imaging and treatment of prostate cancer and is also expressed in solid tumor neovasculature of other cancers. Gliomas, which are central nervous system neoplasms of glial tissue, represent a challenging group of tumors with limited treatment options due to their invasive nature. PSMA's ability to internalize and location makes it a promising diagnostic and therapeutic target for gliomas. This review synthesizes the literature surrounding the use of PSMA in gliomas to inform current and future directions of study. Methods: A review of the literature was conducted using PubMed and Scopus databases in June 2023. Seventy-one relevant studies, including histopathological, imaging, and therapeutic investigations, were identified. These publications were categorized by year of publication to analyze the evolution of PSMA research in glioma management. Additionally, clinicaltrials.gov was searched for ongoing clinical trials involving PSMA and gliomas. Results: Histopathological studies have demonstrated PSMA's high expression in glioma vasculature, particularly in glioblastoma (GBM), a high-grade glioma (HGG). Studies have investigated PSMA's role in tumor metabolism and its interplay with other tumor markers. Some research suggests that high PSMA expression in GBM endothelium may promote angiogenesis and correlates with poor prognosis. PSMA PET imaging has shown promise in diagnosing and differentiating HGGs and low-grade gliomas (LGGs). Studies have reported high sensitivity and diagnostic accuracy of PSMA PET for HGGs, making it a potentially useful screening tool for radioligand therapy patient selection. Mouse models have also been employed to evaluate the utility of PSMA PET imaging in GBM, with some studies suggesting its application in defining non-enhancing portions of tumors and recurrence volume. PSMA-targeted therapies, particularly PSMA-targeted radiotherapy using radionuclide agents like 177Lu-PSMA-617, have been explored for the treatment of gliomas. Case reports and preliminary studies have demonstrated potential efficacy and tumor response to such therapies, warranting further investigation. Conclusion: The evolving literature indicates that PSMA holds promise as a valuable tool in the diagnosis, prognosis, and treatment of gliomas. Studies have highlighted PSMA PET imaging's high diagnostic accuracy and its potential in patient selection for targeted therapies. However, more research is needed to fully understand the role of PSMA in glioma behavior and to optimize treatment strategies. Ongoing clinical trials and future investigations will further our knowledge of PSMA's potential in managing gliomas and improving patient outcomes. Citation Format: Joshua D. McBriar, Neeva Shafiian, Steven Scharf, A. Gabriella Wernicke. Prostate-specific membrane antigen use in glioma management: past, present, and future [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 A010.

Prognostic values and immune infiltration of KLF15, AQP7, AGPAT9 in glioma and glioblastoma

BackgroundsThe overall survival of patients with lower-grade gliomas and glioblastoma varies greatly. No reliable or existing procedures can accurately forecast survival and prognostic biomarkers for early diagnosis in glioma and glioblastoma. However, investigations are progressing in immunotherapy, tumor purity, and tumor microenvironment which may be therapeutic targets for glioma and glioblastoma.ResultsThis study indicated the possible prognostic signatures that can be used to identify immune-related prognostic biomarkers in the prediction of the survival of low-grade glioma (LGG) patients which may be a possible therapeutic target. In addition, the Kaplan–Meier plot, ESTIMATE algorithm, and TIMER 2.0 analysis indicated that Krüppel-like factor 15 (KLF15) p = 0.030, Aquaporin 7 (AQP7) p = 0.001, and Human 1-acylglycerol-3-phosphate O-acyltransferase 9 (AGPAT9) p = 0.005 are significantly associated in glioma. Hence, they may be possible prognostic biomarkers in glioma. Meanwhile, in the glioblastoma, only KLF15 has a significant association with glioblastoma (p = 0.025). Stromal and immune scores of gliomas were determined from transcriptomic profiles of LGG cohort from TCGA (The Cancer Genome Atlas) using the ESTIMATE (Estimation of Stromal and Immune cells in Malignant Tumours using Expression data algorithm). The immune infiltration of the KLF15, AQP7, and AGPAT9 for low-grade glioma and glioblastoma was determined using TIMER immune 2.0 which indicates correlation with tumor purity for KLF15, AQP7, and AGPAT9, but only KLF15 and AGPAT9 are significantly associated in both glioma and glioblastoma, respectively.ConclusionsThese results highlight the significance of microenvironment monitoring, analysis of glioma and glioblastoma prognosis, and targeted immunotherapy. To our knowledge, this is the first time to investigate an analysis that revealed that KLF15, AQP7, and AGPAT9 may be important prognostic biomarkers for patients with glioma and KLF15 for patients with glioblastoma. Meanwhile, KLF15 and AGPAT9 are significantly associated in both glioma and glioblastoma, respectively, for tumor purity.

Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients

Glioblastoma is a highly aggressive and malignant type of brain cancer that originates from glial cells in the brain, with a median survival time of 15 months and a 5-year survival rate of less than 5%. Regulated cell death (RCD) is the autonomous and orderly cell death under genetic control, controlled by precise signaling pathways and molecularly defined effector mechanisms, modulated by pharmacological or genetic interventions, and plays a key role in maintaining homeostasis of the internal environment. The comprehensive and systemic landscape of the RCD in glioma is not fully investigated and explored. After collecting 18 RCD-related signatures from the opening literature, we comprehensively explored the RCD landscape, integrating the multi-omics data, including large-scale bulk data, single-cell level data, glioma cell lines, and proteome level data. We also provided a machine learning framework for screening the potentially therapeutic candidates. Here, based on bulk and single-cell sequencing samples, we explored RCD-related phenotypes, investigated the profile of the RCD, and developed an RCD gene pair scoring system, named RCD.GP signature, showing a reliable and robust performance in predicting the prognosis of glioblastoma. Using the machine learning framework consisting of Lasso, RSF, XgBoost, Enet, CoxBoost and Boruta, we identified seven RCD genes as potential therapeutic targets in glioma and verified that the SLC43A3 highly expressed in glioma grades and glioma cell lines through qRT-PCR. Our study provided comprehensive insights into the RCD roles in glioma, developed a robust RCD gene pair signature for predicting the prognosis of glioma patients, constructed a machine learning framework for screening the core candidates and identified the SLC43A3 as an oncogenic role and a prediction biomarker in glioblastoma.

MCU promotes the migration of glioma cells by activating p38 through TFEB-mediated autophagy.

Changes in calcium signalling are crucial for the development of glioma cells. Whether mitochondrial calcium balance is involved in glial cell development is still unknown. Mitochondrial Calcium Uniporter (MCU) plays an important role in regulating glioma progression. In this work, we found that MCU and p38 expression were positively correlated with glioma grade and the degree tumour progression. MCU increases glioma cell migration by upregulating p38. Furthermore, p38 promotes glioma progression by activating Transcription Factor EB (TFEB)-mediated autophagy. Thus, MCU promotes glioma cell migration by activating autophagy in a p38/TFEB pathway-dependent manner, which provides a theoretical basis for new therapeutic targets for gliomas.

CHRNA9 as a New Prognostic Marker and Potential Therapeutic Target in Glioma.

Background: The nicotinic acetylcholine receptor (nAChR) subunit alpha-9 (CHRNA9) is a unique cholinergic receptor, which is involved in tumor proliferation, apoptosis, metastasis and chemotherapy resistance. However, the correlation between the expression level of CHRNA9 in glioma and the clinical features and prognosis of glioma patients has not been clarified. The aim of this study was to verify the expression level of CHRNA9 in glioma and its effect on prognosis by bioinformatics methods. Methods: The RNA-seq data of glioma and normal samples were obtained from the TCGA and GTEx databases. Bioinformatics methods were utilized to analyze the differential expression of CHRNA9 between tumor samples and normal samples. The potential association between CHRNA9 and the clinicopathological features of glioma patients was also investigated. The Kaplan-Meier method and Cox regression were utilized to analyze the relationship between CHRNA9 expression level and survival time and prognostic value of glioma patients. Enrichment analysis was applied to predict gene function and signaling pathways associated with CHRNA9. Experimental verification was performed using tumor tissues and paracancerous tissues from glioma patients. Results: The results of bioinformatics analysis showed that the expression of CHRNA9 was increased in glioma tissues, correlating with poor prognosis and reduced patient survival time. Enrichment analysis suggested that CHRNA9 may interact with the JAK/STAT pathway. CHRNA9 was also found to be abnormally expressed in various other tumors and associated with the expression levels of numerous immune checkpoints in glioma. The findings from the analysis of clinical samples revealed that the expression levels of both mRNA and protein of CHRNA9 in glioma tissues were higher than those in paracancerous tissues. Similarly, the mRNA expression levels of STAT3, IL-6, and TNF-α, which are crucial factors in the STAT3 pathway, were elevated in glioma tissues compared to paracancerous tissues. Conclusion: CHRNA9 is a potential prognostic marker and immunotherapy target for glioma, with its mechanism of action potentially linked to the STAT3 pathway.

KLC1-ROS1 Fusion Exerts Oncogenic Properties of Glioma Cells via Specific Activation of JAK-STAT Pathway.

Here, we investigated the detailed molecular oncogenic mechanisms of a novel receptor tyrosine kinase (RTK) fusion, KLC1-ROS1, with an adapter molecule, KLC1, and an RTK, ROS1, discovered in pediatric glioma, and we explored a novel therapeutic target for glioma that possesses oncogenic RTK fusion. When wild-type ROS1 and KLC1-ROS1 fusions were stably expressed in the human glioma cell lines A172 and U343MG, immunoblotting revealed that KLC1-ROS1 fusion specifically activated the JAK2-STAT3 pathway, a major RTK downstream signaling pathway, when compared with wild-type ROS1. Immunoprecipitation of the fractionated cell lysates revealed a more abundant association of the KLC1-ROS1 fusion with JAK2 than that observed for wild-type ROS1 in the cytosolic fraction. A mutagenesis study of the KLC1-ROS1 fusion protein demonstrated the fundamental roles of both the KLC1 and ROS1 domains in the constitutive activation of KLC1-ROS1 fusion. Additionally, in vitro assays demonstrated that KLC1-ROS1 fusion upregulated cell proliferation, invasion, and chemoresistance when compared to wild-type ROS1. Combination treatment with the chemotherapeutic agent temozolomide and an inhibitor of ROS1, JAK2, or a downstream target of STAT3, demonstrated antitumor effects against KLC1-ROS1 fusion-expressing glioma cells. Our results demonstrate that KLC1-ROS1 fusion exerts oncogenic activity through serum-independent constitutive activation, resulting in specific activation of the JAK-STAT pathway. Our data suggested that molecules other than RTKs may serve as novel therapeutic targets for RTK fusion in gliomas.

Identification of prognostic risk score of disulfidptosis-related genes and molecular subtypes in glioma

BackgroundProgrammed cell death is closely related to glioma. As a novel kind of cell death, the mechanism of disulfidptosis in glioma remains unclear. Therefore, it is of great importance to study the role of disulfidptosis-related genes (DRGs) in glioma. MethodsWe first investigated the genetic and transcriptional alterations of 15 DRGs. Two consensus cluster analyses were used to evaluate the association between DRGs and glioma subtypes. In addition, we constructed prognostic DRG risk scores to predict overall survival (OS) in glioma patients. Furthermore, we developed a nomogram to enhance the clinical utility of the DRG risk score. Finally, the expression levels of DRGs were verified by immunohistochemistry (IHC) staining. ResultsMost DRGs (14/15) were dysregulated in gliomas. The 15 DRGs were rarely mutated in gliomas, and only 50 of 987 samples (5.07 %) showed gene mutations. However, most of them had copy number variation (CNV) deletions or amplifications. Two distinct molecular subtypes were identified by cluster analysis, and DRG alterations were found to be related to the clinical characteristics, prognosis, and tumor immune microenvironment (TIME). The DRG risk score model based on 12 genes was developed and showed good performance in predicting OS. The nomogram confirmed that the risk score had a particularly strong influence on the prognosis of glioma. Furthermore, we discovered that low DRG scores, low tumor mutation burden, and immunosuppression were features of patients with better prognoses. ConclusionThe DRG risk model can be used for the evaluation of clinical characteristics, prognosis prediction, and TIME estimation of glioma patients. These DRGs may be potential therapeutic targets in glioma.