Role In Glioma Research Articles

GAD1 ameliorates glioma progression through regulating cuproptosis via RAS/MAPK pathway.

Glioma represents a primary malignant tumor occurring in the central nervous system. Glutamate decarboxylase (GAD1) plays a significant role in tumor development; however, its function of GAD1 and underlying mechanisms in glioma progression remain unclear. Differentially expressed genes (DEGs) obtained from the GSE12657 and GSE15209 datasets that intersected with cuproptosis-related genes and pivot genes were identified using comprehensive bioinformatics methods. The elesclomol (ES) treatment was used to induce cuproptosis in U251 cells, which was validated by detecting intracellular copper levels and cuproptosis marker expression. Lentivirus-mediated gene overexpression was performed to explore the effects of GAD1 using functional assays in vitro and in a mouse xenograft model. The RAS agonist ML098 was used to verify the effect of GAD1 on the RAS/MAPK pathway in glioma cells. A total of 87 cuproptosis-related DEGs and seven hub genes were obtained, with five genes upregulated and two were downregulated in gliomas. Overexpression of GAD1 inhibited proliferation, invasion, and migration, promoted apoptosis of glioma cells, and suppressed tumorigenesis in vivo. In addition, GAD1 overexpression enhanced the sensitivity of glioma cells to cuproptosis. Additionally, ML098 treatment attenuated the inhibitory effect of GAD1 overexpression on the malignant phenotype of ES-treated cells. GAD1 plays an anti-oncogenic role in glioma by regulating apoptosis via inhibition of the RAS/MAPK pathway.

Unlocking the potential of LHPP: Inhibiting glioma growth and cell cycle via the MDM2/p53 pathway

The recurrence of glioma after treatment has remained an intractable problem for many years. Recently, numerous studies have explored the pivotal role of the mouse double minute 2 (MDM2)/p53 pathway in cancer treatment. Lysine phosphate phosphohistidine inorganic pyrophosphate phosphatase (LHPP), a newly discovered tumor suppressor, has been confirmed in numerous studies on tumors, but its role in glioma remains poorly understood. Expression matrices in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases were analyzed using gene set enrichment analysis (GSEA), revealing significant alterations in the p53 pathway among glioma patients with high LHPP expression. The overexpression of LHPP in glioma cells resulted in a reduction in cell proliferation, migration, and invasive ability, as well as an increase in apoptosis and alterations to the cell cycle. The present study has identified a novel inhibitory mechanism of LHPP against glioma, both in vivo and in vitro. The results demonstrate that LHPP exerts anti-glioma effects via the MDM2/p53 pathway. These findings may offer a new perspective for the treatment of glioma in the clinic.

Identification of DNA methylation-regulated WEE1 with potential implications in prognosis and immunotherapy for low-grade glioma.

WEE1 is a critical kinase in the DNA damage response pathway and has been shown to be effective in treating serous uterine cancer. However, its role in gliomas, specifically low-grade glioma (LGG), remains unclear. The impact of DNA methylation on WEE1 expression and its correlation with the immune landscape in gliomas also need further investigation. This study used data from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Gene Expression Omnibus (GEO) and utilized various bioinformatics tools to analyze gene expression, survival, gene correlation, immune score, immune infiltration, genomic alterations, tumor mutation burden, microsatellite instability, clinical characteristics of glioma patients, WEE1 DNA methylation, prognostic analysis, single-cell gene expression distribution in glioma tissue samples, and immunotherapy response prediction based on WEE1 expression. WEE1 was upregulated in LGG and glioblastoma (GBM), but it had a more significant prognostic impact in LGG compared to other cancers. High WEE1 expression was associated with poorer prognosis in LGG, particularly when combined with wild-type IDH. The WEE1 inhibitor MK-1775 effectively inhibited the proliferation and migration of LGG cell lines, which were more sensitive to WEE1 inhibition. DNA methylation negatively regulated WEE1, and high DNA hypermethylation of WEE1 was associated with better prognosis in LGG than in GBM. Combining WEE1 inhibition and DNA methyltransferase inhibition showed a synergistic effect. Additionally, downregulation of WEE1 had favorable predictive value in immunotherapy response. Co-expression network analysis identified key genes involved in WEE1-mediated regulation of immune landscape, differentiation, and metastasis in LGG. Our study shows that WEE1 is a promising indicator for targeted therapy and prognosis evaluation. Notably, significant differences were observed in the role of WEE1 between LGG and GBM. Further investigation into WEE1 inhibition, either in combination with DNA methyltransferase inhibition or immunotherapy, is warranted in the context of LGG.

Exploring the multifaceted role of key lncRNA in glioma: From genetic expression to clinical implications and immunotherapy potential

BackgroundLong non-coding RNAs (lncRNAs) are implicated in a variety of regulatory functions within tumors, yet their specific roles in glioma remain underexplored. MethodsWe extracted glioma patient data from The Cancer Genome Atlas and UCSC Xena database for analysis using R, focusing on genomic characterization, biological enrichment, immune evaluation, and the development of a predictive model employing machine learning techniques. Additionally, we conducted cell culture and proliferation assays. ResultsOur analysis revealed that the lncRNA SLC16A1-AS1 plays a pivotal role in glioma pathogenesis and prognosis. We observed that abnormal expression of SLC16A1-AS1 varied with tumor grade, IDH mutation status, and histological type, correlating with worse survival outcomes. Genomically, SLC16A1-AS1 was associated with Tumor Mutational Burden and other prognostic biomarkers. The expression of this lncRNA was also linked to the activation of critical biological pathways and appeared to modulate the immune microenvironment, enhancing the presence of immune cells and checkpoints, which may be predictive of immunotherapy outcomes. Our predictive model, constructed from genes associated with SLC16A1-AS1, accurately forecasted glioma prognosis, strongly correlating with survival and treatment responses. In vitro experiments further demonstrated that SLC16A1-AS1 significantly influences glioma cell proliferation, invasion, and migration, underscoring its role in tumor aggression and its potential as a therapeutic target. ConclusionsThis study underscores the significant influence of SLC16A1-AS1 on glioma progression and prognosis, with its expression correlating with tumor traits and immune responses. The findings highlight the potential of targeting SLC16A1-AS1 in therapeutic strategies aimed at mitigating glioma aggressiveness.

Research Progress on the Mechanism of Histone Deacetylases in Ferroptosis of Glioma.

Glioma is the most prevalent primary malignant tumor of the central nervous system. While traditional treatment modalities such as surgical resection, radiotherapy, and chemotherapy have made significant advancements in glioma treatment, the prognosis for glioma patients remains often unsatisfactory. Ferroptosis, a novel form of programmed cell death, plays a crucial role in glioma and is considered to be the most functionally rich programmed cell death process. Histone deacetylases have emerged as a key focus in regulating ferroptosis in glioma. By inhibiting the activity of histone deacetylases, histone deacetylase inhibitors elevate acetylation levels of both histones and non-histone proteins, thereby influencing various cellular processes. Numerous studies have demonstrated that histone deacetylases are implicated in the development of glioma and hold promise for its treatment. This article provides an overview of research progress on the mechanism by which histone deacetylases contribute to ferroptosis in glioma.

Prognostic prediction and immune checkpoint profiling in glioma patients through neddylation-associated features

BackgroundGliomas are the most common primary malignant tumours of the central nervous system, and neddylation may be a potential target for the treatment of gliomas. Our study analysed neddylation’s potential role in gliomas of different pathological types and its correlation with immunotherapy. MethodsGenes required for model construction were sourced from existing literature, and their expression data were extracted from the TCGA and CGGA databases. LASSO regression was employed to identify genes associated with the prognosis of glioma patients in TCGA and to establish a clinical prognostic model. Biological changes in glioma cell lines following intervention with hub genes were evaluated using the CCK-8 assay and transwell assay. The genes implicated in the model construction were validated across various cell lines using Western blot. We conducted analyses to examine correlations between model scores and clinical data, tumor microenvironments, and immune checkpoints. Furthermore, we investigated potential differences in molecular functions and mechanisms among different groups. ResultsWe identified 249 genes from the Reactome database and analysed their expression profiles in the TCGA and CGGA databases. After using LASSO-Cox, four genes (BRCA1, BIRC5, FBXL16 and KLHL25, p < 0.05) with significant correlations were identified. We selected FBXL16 for validation in in vitro experiments. Following FBXL16 overexpression, the proliferation, migration, and invasion abilities of glioma cell lines all showed a decrease. Then, we constructed the NEDD Index for gliomas. The nomogram indicated that this model could serve as an independent prognostic marker. Analysis of the tumour microenvironment and immune checkpoints revealed that the NEDD index was also correlated with immune cell infiltration and the expression levels of various immune checkpoints. ConclusionThe NEDD index can serve as a practical tool for predicting the prognosis of glioma patients, and it is correlated with immune cell infiltration and the expression levels of immune checkpoints.

Forms of Non-Apoptotic Cell Death and Their Role in Gliomas-Presentation of the Current State of Knowledge.

In addition to necrosis and apoptosis, the two forms of cell death that have been known for many decades, other non-apoptotic forms of cell death have been discovered, many of which also play a role in tumors. Starting with the description of autophagy more than 60 years ago, newer forms of cell death have become important for the biology of tumors, such as ferroptosis, pyroptosis, necroptosis, and paraptosis. In this review, all non-apoptotic and oncologically relevant forms of programmed cell death are presented, starting with their first descriptions, their molecular characteristics, and their role and their interactions in cell physiology and pathophysiology. Based on these descriptions, the current state of knowledge about their alterations and their role in gliomas will be presented. In addition, current efforts to therapeutically influence the molecular components of these forms of cell death will be discussed. Although research into their exact role in gliomas is still at a rather early stage, our review clarifies that all these non-apoptotic forms of cell death show significant alterations in gliomas and that important insight into understanding them has already been gained.

Research on the mechanism of TWSG1 in the malignant progression of glioma cells and tumor-associated macrophage infiltration.

Gliomas are malignant tumors of the central nervous system; current treatment methods have low efficacy. Twisted gastrulation BMP signaling modulator 1 (TWSG1) has been shown to play a role in gliomas but it is not known whether TWSG1 participates in glioma pathogenesis and macrophage immune regulation. This study identified a total of 24 differentially expressed genes with survival differences in gliomas using bioinformatics analysis. Among them, TWSG1 exhibited the strongest correlation with gliomas and was positively correlated with macrophage enrichment. The results showed that TWSG1 was highly expressed in various glioma cell lines, with the highest expression observed in the A172 cell line. Silencing TWSG1 significantly decreased the viability, migration, and invasion of A172 cells in vitro and tumor growth in a mouse xenograft model in vivo. It also reduced the expression of the matrix metalloproteinases MMP2 and MMP9 both in vivo and in vitro. Silencing TWSG1 significantly reduced the expression of M2 macrophage makers and upregulated the expression of M1 macrophage markers in A172 cells and tumor tissues. These data suggest that interference with TWSG1 suppressed the progression of A172 glioma cells and regulated immune infiltration.

CircNUP98 promotes the malignant behavior of glioma cells through the miR-520f-3p/ELK4 axis.

Glioma, a formidable form of brain cancer, poses significant challenges in terms of treatment and prognosis. Circular RNA nucleoporin 98 (circNUP98) has emerged as a potential regulator in various cancers, yet its role in glioma remains unclear. Here, we elucidate the functional role of circNUP98 in glioma cell proliferation, invasion, and migration, shedding light on its therapeutic implications. Glioma cells were subjected to si-NUP98 transfection, followed by assessments of cell viability, proliferation, invasion, and migration. Subcellular localization of circNUP98 was determined, and its downstream targets were identified. We delineated the binding relationships between circNUP98 and microRNA (miR)-520f-3p, as well as between miR-520f-3p and ETS transcription factor ELK4 (ELK4). The expression levels of circNUP98/miR-520f-3p/ELK4 were quantified. Our findings demonstrated that circNUP98 was upregulated in glioma cells, and its inhibition significantly attenuated glioma cell proliferation, invasion, and migration. Mechanistically, circNUP98 functioned as a sponge for miR-520f-3p, thereby relieving the inhibitory effect of miR-520f-3p on ELK4. Moreover, inhibition of miR-520f-3p or overexpression of ELK4 partially rescued the suppressive effect of circNUP98 knockdown on glioma cell behaviors. In summary, our study unveils that circNUP98 promotes glioma cell progression via the miR-520f-3p/ELK4 axis, offering novel insights into the therapeutic targeting of circNUP98 in glioma treatment.

Machine learning‐based identification of a cell death‐related signature associated with prognosis and immune infiltration in glioma

AbstractAccumulating evidence suggests that a wide variety of cell deaths are deeply involved in cancer immunity. However, their roles in glioma have not been explored. We employed a logistic regression model with the shrinkage regularization operator (LASSO) Cox combined with seven machine learning algorithms to analyse the patterns of cell death (including cuproptosis, ferroptosis, pyroptosis, apoptosis and necrosis) in The Cancer Genome Atlas (TCGA) cohort. The performance of the nomogram was assessed through the use of receiver operating characteristic (ROC) curves and calibration curves. Cell‐type identification was estimated by using the cell‐type identification by estimating relative subsets of known RNA transcripts (CIBERSORT) and single sample gene set enrichment analysis methods. Hub genes associated with the prognostic model were screened through machine learning techniques. The expression pattern and clinical significance of MYD88 were investigated via immunohistochemistry (IHC). The cell death score represents an independent prognostic factor for poor outcomes in glioma patients and has a distinctly superior accuracy to that of 10 published signatures. The nomogram performed well in predicting outcomes according to time‐dependent ROC and calibration plots. In addition, a high‐risk score was significantly related to high expression of immune checkpoint molecules and dense infiltration of protumor cells, these findings were associated with a cell death‐based prognostic model. Upregulated MYD88 expression was associated with malignant phenotypes and undesirable prognoses according to the IHC. Furthermore, high MYD88 expression was associated with poor clinical outcomes and was positively related to CD163, PD‐L1 and vimentin expression in the in‐horse cohort. The cell death score provides a precise stratification and immune status for glioma. MYD88 was found to be an outstanding representative that might play an important role in 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.

CDCA3 is a potential biomarker for glioma malignancy and targeted therapy.

CDCA3, a cell cycle regulator gene that plays a catalytic role in many tumors, was initially identified as a regulator of cell cycle progression, specifically facilitating the transition from the G2 phase to mitosis. However, its role in glioma remains unknown. In this study, bioinformatics analyses (TCGA, CGGA, Rembrandt) shed light on the upregulation and prognostic value of CDCA3 in gliomas. It can also be included in a column chart as a parameter predicting 3- and 5-year survival risk (C index = 0.86). According to Gene Set Enrichment Analysis and gene ontology analysis, the biological processes of CDCA3 are mainly concentrated in the biological activities related to cell cycle such as DNA replication and nuclear division. CDCA3 is closely associated with many classic glioma biomarkers (CDK4, CDK6), and inhibitors of CDK4 and CDK6 have been shown to be effective in tumor therapy. We have demonstrated that high expression of CDCA3 indicates a higher malignancy and poorer prognosis in gliomas.

LncRNA NUTM2A-AS1 silencing inhibits glioma via miR-376a-3p/YAP1 axis

The lncRNA NUTM2A-AS1 has been shown to be dysregulated in gastric cancer, while the roles in glioma is unclear. The aim of this study was to investigate the roles and potential mechanisms of lncRNA NUTM2A-AS1 in the proliferation and apoptosis of glioma cells. The StarBase software and dual luciferase reporter assay were used to identify the relationship between lncRNA NUTM2A-AS1 and miR-376a-3p, and miR-376a-3p and YAP1. The expression of lncRNA NUTM2A-AS1, miR-376a-3p, and YAP1 in human glioma cell lines was detected by qRT-PCR. MTT and flow cytometry were used to detect the effects of lncRNA NUTM2A-AS1 or miR-376a-3p on the proliferation and apoptosis of U251 and A172 cells, respectively. In addition, changes of Bax and Bcl-2 expression in glioma cells were further verified by western blotting and qRT-PCR. The results showed that the expression of lncRNA NUTM2A-AS1 was elevated in glioma cell lines, while miR-376a-3p was decreased. LncRNA NUTM2A-AS1 was negatively correlated with miR-376a-3p. Silencing of lncRNA NUTM2A-AS1 enhanced the levels of miR-376a-3p, leading to reduced cell proliferation and increased apoptosis in glioma cells. YAP1 was a direct target of miR-376a-3p, and it was negatively regulated by miR-376a-3p in U251 and A172 cells. Further mechanistic studies suggested that miR-376a-3p reduced glioma cell proliferation and increased apoptosis by inhibiting YAP1 expression. In addition, lncRNA NUTM2A-AS1 positively regulated of YAP1 expression in glioma cells. In conclusion, silencing of lncRNA NUTM2A-AS1 inhibited proliferation and induced apoptosis in human glioma cells via the miR-376a-3p/YAP1 axis.

Establishment of glioma prognosis nomogram based on the function of meox1 in promoting the progression of cancer

BackgroundGliomas stand out as highly predominant malignant nervous tumors and are linked to adverse treatment outcomes and short survival periods. Current treatment options are limited, emphasizing the need to identify effective therapeutic targets. The heterogeneity of tumors necessitates a personalized treatment approach with an effective grouping system. Meox1 has been implicated in promoting tumor progression in diverse cancers; nonetheless, its role in gliomas remains unelucidated. Material/methodsUtilized immunohistochemistry to assess the expression of Meox1 protein in glioma tissues. Proliferation and invasion assays were conducted on wild-type and meox1-overexpressed glioma cells using the CCK8 and Transwell assays, respectively. The expression levels of meox1 and its related genes in gliomas were obtained from Chinese Glioma Genome Atlas (CGGA), along with the corresponding patient survival periods. LASSO regression modeling was employed to construct a scoring system for patients with gliomas, categorizing them into high-/low-risk groups. Additionally, a nomogram for predicting the survival period of patients with glioma was developed using multivariate logistic analysis. ResultsWe attempted, for the first time, to demonstrate heightened expression of Meox1 in glioma tumor tissues, correlating with significantly increased invasion and proliferation abilities of glioma cells following meox1 overexpression. The scoring system effectively stratified patients with glioma into high-/low-risk groups, revealing differences in the survival period and immunotherapy efficacy between the two groups. The integration of this scoring system with other clinical indicators yielded a nomogram capable of effectively predicting the survival period of individuals with gliomas. ConclusionsOur study established a stratified investigation system based on the levels of meox1 and its related genes, providing a novel, cost-effective model for facilitating the prognosis prediction of individuals with glioma.

The role of ST3GAL4 in glioma malignancy, macrophage infiltration, and prognostic outcomes

BackgroundGlioma, a prevalent malignancy of the brain and spinal cord, poses a considerable threat to human health. The association between aberrant sialic acid modification and glioma progression has been suggested, but the precise mechanism is still elusive. ST3GAL4, a sialoglycosyltransferase, is implicated in increased metastatic potential and poor prognosis in various cancers; however, its specific role in glioma requires further elucidation. MethodsWe evaluated ST3GAL4 expression levels and their clinical relevance using the TCGA database, and we assessed immune infiltration via the Tumor Immune Evaluation Resource (TIMER) database. In vitro experiments were performed to determine the effects of ST3GAL4 knockdown on glioma cell malignancy, with additional co-culture assays to assess its impact on macrophage phenotype. ResultsST3GAL4 expression was markedly elevated in glioma tissues compared to normal brain tissues, with a strong correlation to glioma patient clinical characteristics. Survival analyses and receiver operating characteristic (ROC) curves suggested that ST3GAL4 is a feasible diagnostic and prognostic biomarker for glioma. Knockdown studies revealed that ST3GAL4 inhibition reduces glioma cell line proliferation, migration, and invasion, while causing G1 phase cell cycle arrest. ST3GAL4 appears to mediate glioma progression through extracellular matrix reorganization and EMT signaling pathway activation, further contributing to M2 macrophage polarization and infiltration within the tumor microenvironment. ConclusionOur research highlights the critical role of ST3GAL4 in glioma development, positioning it as a promising candidate for diagnostic and therapeutic interventions.

Phospholipid scramblase 1 acts through the IL-6/JAK/STAT3 pathway to promote the malignant progression of glioma

BackgroundPhospholipid scramblase 1 (PLSCR1) is a calcium-dependent endofacial plasma-membrane protein that plays an essential role in multiple human cancers. However, little is known about its role in glioma. This study aimed to investigate PLSCR1 function in glioma, and elucidate its underlying molecular mechanisms. MethodsPLSCR1 expression in human glioma cell lines (U87MG, U251, LN229, A172 and T98G) and human astrocytes was detected by western blot and qRT-PCR. PLSCR1 was silenced using si-PLSCR1-1 and si-PLSCR1-2 in LN229 and U251 cells. PLSCR1 was overexpressed using the pcDNA-PLSCR1 plasmid in T98G cells. Colony formation, 5-ethynyl-2′-deoxyuridine, flow cytometry and transwell assays were employed for measuring cell proliferation, apoptosis and mobility after PLSCR1 knockdown or overexpression. PLSCR1 function in glycolysis in glioma cells was determined through measuring the extracellular acidification rate, oxygen consumption rate, glucose consumption and lactate production. Besides, immunohistochemistry, western blot and qRT-PCR were utilized to assess mRNA and protein expression. Besides, the effect of PLSCR1 silencing on subcutaneous tumor was also monitored. ResultsPLSCR1 expression was upregulated in glioma. The downregulation of PLSCR1 repressed the proliferation, mobility, epithelial-to-mesenchymal transition (EMT) and glycolysis; however, it facilitated apoptosis in glioma cells. Whereas, PLSCR1 upregulation had the opposite effect. Moreover, PLSCR1 promoted the activation of the IL-6/JAK/STAT3 pathway in glioma cells. Besides, IL-6 treatment significantly reversed the function of PLSCR1 silencing on cell proliferation, mobility, EMT, apoptosis and glycolysis. In a nude mouse tumor model, silencing PLSCR1 suppressed tumor growth via inactivating IL-6/JAK/STAT3 signaling. ConclusionOur results indicated that PLSCR1 could facilitate proliferation, mobility, EMT and glycolysis, but repress apoptosis through activating IL-6/JAK/STAT3 signaling in glioma. Therefore, PLSCR1 may function as a potential therapeutic target for glioma.

Identification of a robust biomarker LAPTM4A for glioma based on comprehensive computational biology and experimental verification.

Glioma, a highly invasive and deadly form of human neoplasm, presents a pressing need for the exploration of potential therapeutic targets. While the lysosomal protein transmembrane 4A (LATPM4A) has been identified as a risk factor in pancreatic cancer patients, its role in glioma remains unexplored. The analysis of differentially expressed genes (DEG) was conducted from The Cancer Genome Atlas (TCGA) glioma dataset and the Genotype Tissue Expression (GTEx) dataset. Through weighted gene co-expression network analysis (WGCNA), the key glioma-related genes were identified. Among these, by using Kaplan-Meier (KM) analysis and univariate/multivariate COX methods, LAPTM4A emerged as the most influential gene. Moreover, the bioinformatics methods and experimental verification were employed to analyze its relationships with diagnosis, clinical parameters, epithelial-mesenchymal transition (EMT), metastasis, immune cell infiltration, immunotherapy, drug sensitivity, and ceRNA network. Our findings revealed that LAPTM4A was up-regulated in gliomas and was associated with clinicopathological features, leading to poor prognosis. Furthermore, functional enrichment analysis demonstrated that LATPM4A played a role in the immune system and cancer progression. In vitro experiments indicated that LAPTM4A may influence metastasis through the EMT pathway in glioma. Additionally, we found that LAPTM4A was associated with the tumor microenvironment (TME) and immunotherapy. Notably, drug sensitivity analysis revealed that patients with high LAPTM4A expression were sensitive to doxorubicin, which contributed to a reduction in LAPTM4A expression. Finally, we uncovered the FGD5-AS1-hsa-miR-103a-3p-LAPTM4A axis as a facilitator of glioma progression. In conclusion, our study identifies LATPM4A as a promising biomarker for prognosis and immune characteristics in glioma.

PSMB2 plays an oncogenic role in glioma and correlates to the immune microenvironment

There has been an upward trend in the incidence of glioma, with high recurrence and high mortality. The beta subunits of the 20S proteasome are encoded by the proteasome beta (PSMB) genes and may affect the proteasome’s function in glioma, assembly and inhibitor binding. This study attempted to reveal the function of the proliferation and invasion of glioma cells, which is affected by proteasome 20S subunit beta 2 (PSMB2). We subjected the data downloaded from the TCGA database to ROC, survival, and enrichment analyses. After establishing the stable PSMB2 knockdown glioma cell line. We detect the changes in the proliferation, invasion and migration of glioma cells by plate colony formation assay, transwell assay, wound healing assay and flow cytometry and PSMB2 expression was verified by quantitative PCR and Western blotting to identify the mRNA and protein levels. PSMB2 expression was higher in glioma tissues, and its expression positively correlated with poor prognosis and high tumor grade and after PSMB2 knockdown, the proliferation, invasion and migration of glioma cells were weakened.

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.

Deciphering the link: ferroptosis and its role in glioma.

Glioma, as the most frequently occurring primary malignancy in the central nervous system, significantly impacts patients' quality of life and cognitive abilities. Ferroptosis, a newly discovered form of cell death, is characterized by significant iron accumulation and lipid peroxidation. This process is fundamentally dependent on iron. Various factors inducing ferroptosis can either directly or indirectly influence glutathione peroxidase, leading to reduced antioxidant capabilities and an increase in lipid reactive oxygen species (ROS) within cells, culminating in oxidative cell death. Recent research indicates a strong connection between ferroptosis and a range of pathophysiological conditions, including tumors, neurological disorders, ischemia-reperfusion injuries, kidney damage, and hematological diseases. The regulation of ferroptosis to intervene in the progression of these diseases has emerged as a major area of interest in etiological research and therapy. However, the exact functional alterations and molecular mechanisms underlying ferroptosis remain to be extensively studied. The review firstly explores the intricate relationship between ferroptosis and glioma, highlighting how ferroptosis contributes to glioma pathogenesis and how glioma cells may resist this form of cell death. Then, we discuss recent studies that have identified potential ferroptosis inducers and inhibitors, which could serve as novel therapeutic strategies for glioma. We also examine the current challenges in targeting ferroptosis in glioma treatment, including the complexity of its regulation and the need for precise delivery methods. This review aims to provide a comprehensive overview of the current state of research on ferroptosis in glioma, offering insights into future therapeutic strategies and the broader implications of this novel cell death pathway in cancer biology.