Poor Prognosis In Glioma Patients Research Articles

Value of long non-coding RNA HAS2-AS1 as a diagnostic and prognostic marker of glioma

BackgroundGlioma presents high incidence and poor prognosis, and therefore more effective treatments are needed. Studies have confirmed that long non-coding RNAs (lncRNAs) basically regulate various human diseases including glioma. It has been theorized that HAS2-AS1 serves as an lncRNA to exert an oncogenic role in varying cancers. This study aimed to assess the value of lncRNA HAS2-AS1 as a diagnostic and prognostic marker for glioma. MethodsThe miRNA expression data and clinical data of glioma were downloaded from the TCGA database for differential analysis and survival analysis. In addition, pathological specimens and specimens of adjacent normal tissue from 80 patients with glioma were used to observe the expression of HAS2-AS1. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic ability and prognostic value of HAS2-AS1 in glioma. Meanwhile, a Kaplan–Meier survival curve was plotted to evaluate the survival of glioma patients with different HAS2-AS1 expression levels. ResultsHAS2-AS1 was significantly upregulated in glioma tissues compared with normal tissue. The survival curves showed that overexpression of HAS2-AS1 was associated with poor overall survival (OS) and progression-free survival (PFS). Several clinicopathological factors of glioma patients, including tumor size and WHO grade, were significantly correlated with HAS2-AS1 expression in tissues. The ROC curve showed an area under the curve (AUC) value of 0.863, indicating that HAS2-AS1 had good diagnostic value. The ROC curve for the predicted OS showed an AUC of 0.906, while the ROC curve for predicted PFS showed an AUC of 0.88. Both suggested that overexpression of HAS2-AS1 was associated with poor prognosis. ConclusionsNormal tissues could be clearly distinguished from glioma tissues based on HAS2-AS1 expression. Moreover, overexpression of HAS2-AS1 indicated poor prognosis in glioma patients. Therefore, HAS2-AS1 could be used as a diagnostic and prognostic marker for glioma.

Uncovering the subtype-specific disease module and the development of drug response prediction models for glioma

The poor prognosis of glioma patients brought attention to the need for effective therapeutic approaches for precision therapy. Here, we deployed algorithms relying on network medicine and artificial intelligence to design the framework for subtype-specific target identification and drug response prediction in glioma. We identified the driver mutations that were differentially expressed in each subtype of lower-grade glioma and glioblastoma multiforme and were linked to cancer-specific processes. Driver mutations that were differentially expressed were also subjected to subtype-specific disease module identification. The drugs from the drug bank database were retrieved to target these disease modules. However, the efficacy of anticancer drugs depends on the molecular profile of the cancer and varies among cancer patients due to intratumor heterogeneity. Hence, we developed a deep-learning-based drug response prediction framework using the experimental drug screening data. Models for 30 drugs that can target the disease module were developed, where drug response measured by IC50 was considered a response and gene expression and mutation data were considered predictor variables. The model construction consists of three steps: feature selection, data integration, and classification. We observed the consistent performance of the models in training, test, and validation datasets. Drug responses were predicted for particular cell lines derived from distinct subtypes of gliomas. We found that subtypes of gliomas respond differently to the drug, highlighting the importance of subtype-specific drug response prediction. Therefore, the development of personalized therapy by integrating network medicine and a deep learning-based approach can lead to cancer-specific treatment and improved patient care.

TGIF2 is a potential biomarker for diagnosis and prognosis of glioma.

TGFB-induced factor homeobox 2 (TGIF2), a member of the Three-Amino-acid-Loop-Extension (TALE) superfamily, has been implicated in various malignant tumors. However, its prognostic significance in glioma, impact on tumor immune infiltration, and underlying mechanisms in glioma development remain elusive. The expression of TGIF2 in various human normal tissues, normal brain tissues, and gliomas was investigated using HPA, TCGA, GTEx, and GEO databases. The study employed several approaches, including Kaplan-Meier analysis, ROC analysis, logistic regression, Cox regression, GO analysis, KEGG analysis, and GSEA, to explore the relationship between TGIF2 expression and clinicopathologic features, prognostic value, and potential biological functions in glioma patients. The impact of TGIF2 on tumor immune infiltration was assessed through Estimate, ssGSEA, and Spearman analysis. Genes coexpressed with TGIF2 were identified, and the protein-protein interaction (PPI) network of these coexpressed genes were constructed using the STRING database and Cytoscape software. Hub genes were identified using CytoHubba plugin, and their clinical predictive value was explored. Furthermore, in vitro experiments were performed by knocking down and knocking out TGIF2 using siRNA and CRISPR/Cas9 gene editing, and the role of TGIF2 in glioma cell invasion and migration was analyzed using transwell assay, scratch wound-healing assay, RT-qPCR, and Western blot. TGIF2 mRNA was found to be upregulated in 21 cancers, including glioma. High expression of TGIF2 was associated with malignant phenotypes and poor prognosis in glioma patients, indicating its potential as an independent prognostic factor. Furthermore, elevated TGIF2 expression positively correlated with cell cycle regulation, DNA synthesis and repair, extracellular matrix (ECM) components, immune response, and several signaling pathways that promote tumor progression. TGIF2 showed correlations with Th2 cells, macrophages, and various immunoregulatory genes. The hub genes coexpressed with TGIF2 demonstrated significant predictive value. Additionally, in vitro experiments revealed that knockdown and knockout of TGIF2 inhibited glioma cell invasion, migration and suppressed the epithelial-mesenchymal transition (EMT) phenotype. TGIF2 emerges as a potential biomarker for glioma, possibly linked to tumor immune infiltration and EMT.

Identification of SRSF10 as a promising prognostic biomarker with functional significance among SRSFs for glioma

AimsThe serine/arginine-rich splicing factor (SRSF) protein family members are essential mediators of the alternative splicing (AS) regulatory network, which is tightly implicated in cancer progression. However, the expression, clinical correlation, immune infiltration, and prognostic value of SRSFs in gliomas remain unclear. Materials and methodsGlioma samples were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) datasets. Several databases, such as HPA, DAVID, UALCAN were used to comprehensively explore the roles of SRSFs. In addition, experimental validation of SRSF10 was also conducted. Key findingsHere, we found the expression alterations of the SRSF family in glioma samples using data from the TCGA and CGGA_325 datasets. Among the 12 genes, most were found to be closely associated with glioma clinical features, which linked to poor prognosis in glioma patients. Interestingly, survival analysis identified only SRSF10 as a potential independent risk prognostic biomarker for glioma patients. Immune analysis indicated that glioma patients with high SRSF10 expression may respond well to immunotherapies targeting immune checkpoint (ICP) genes. Finally, knocking down SRSF10 reduced glioma cell viability, induced G1 cell cycle arrest, and induced the exclusion of bcl-2-associated transcription factor 1 (BCLAF1) exon 5a. SignificanceOverall, this study uncovers the oncogenic roles of most SRSF family members in glioma, with the exception of SRSF5, while highlighting SRSF10 as a potential novel independent prognostic biomarker for glioma.

MAPK-activated protein kinase 2 is associated with poor prognosis of glioma patients and immune inhibition in glioma.

An effective therapeutic method to noticeably improve the prognosis of glioma patients has not been developed thus far. MAPK-activated protein kinase 2 (MAPKAPK2) is a serine/threonine kinase, which is involved in tumorigenesis, tumor growth, metastasis, and the inflammatory process. The clinical significance and molecular function of MAPKAPK2 in glioma remain unclear. MAPKAPK2 expression in human glioma tissues was detected by immunohistochemistry and analyzed from the transcriptome sequencing data in TCGA and CGGA. Prognostic nomogram was constructed to predict the survival risk of individual patients. GO and KEGG enrichment analyses were performed to analyze the function and pathways MAPKAPK2 involved. Single-cell RNA sequencing data was used to analyze the cell types in which MAPKAPK2 was enriched. Flow cytometry was used for cell cycle and apoptosis detection. The ability of cell proliferation and migration was analyzed by CCK8 and cell migration assay, respectively. Correlation analyses were performed to analyze the relationship of MAPKAPK2 with immune infiltration, immune regulators, chemokine, and chemokine receptors. MAPKAPK2 was not only aberrantly upregulated in glioma tissues but also correlated with poor clinical characteristics. Moreover, MAPKAPK2 was prevalent in isocitrate dehydrogenase (IDH) wild-type and 1p/19q non-codeletion glioma cohorts and predicted poor prognosis of glioma patients. MAPKAPK2 may be involved in cell proliferation, cell migration, DNA damage repair, and immune regulation in glioma. MAPKAPK2 was enriched in microglia/macrophages and malignant tumor cells. Further investigation into cellular function revealed that inhibiting MAPKAPK2 suppressed the proliferation and migration of glioblastoma multiforme (GBM) cells in vitro. The inhibition of MAPKAPK2 significantly induced the G1 cell cycle arrest and cell apoptosis of GBM cells. Consistent with the enriched function of MAPKAPK2 in immune regulation, MAPKAPK2 was correlated with immune cell infiltration in glioma tissues. Mechanistically, a series of immune regulators, immunomodulatory chemokine, and chemokine receptors were positively correlated with MAPKAPK2 expression. Our findings provide evidence of the clinical relevance of MAPKAPK2 in prognosis evaluation of glioma patients and highlight the underlying significance of MAPKAPK2 in glioma therapy.

Long Non-coding RNA COX10-AS1 Promotes Glioma Progression by Competitively Binding miR-1-3p to Regulate ORC6 Expression

Glioma is one of the most common and difficult to cure malignant primary tumors of the central nervous system. Long non-coding RNA (lncRNA) has been reported to play important functions in biological processes of many tumors, including glioma. In our study, we aimed to reveal the role and molecular mechanisms of lncRNA COX10-AS1 in regulating the progression of glioma. First of all, we showed that lncRNA COX10-AS1 was significantly increased in glioma tissues and cell lines, and high-expressed COX10-AS1 was associated with a poor prognosis in glioma patients. Moreover, through performing the functional experiments, including CCK-8, colony formation and Transwell assays, we confirmed that COX10-AS1 ablation curbed cell proliferation, migration and invasion in glioblastoma (GBM) cells. In addition, we uncovered that there existed a regulatory relationship that COX10-AS1 upregulated OCR6 by sponging miR-1-3p in GBM cells, and the following rescue assays demonstrated that both miR-1-3p downregulation and origin recognition complex subunit 6 (ORC6) overexpression rescued cell viability, migration and invasion in the COX10-AS1-deficient GBM cells. Consistently, we also verified that COX10-AS1 promoted tumorigenesis of the GBM cells in vivo through modulating the miR-1-3p/ORC6 axis. On the whole, our findings indicated a novel ceRNA pattern in which COX10-AS1 elevated OCR6 expression via sponging miR-1-3p, therefore boosting tumorigenesis in glioma, and we firstly discussed the underlying mechanisms by which the COX10-AS1/miR-1-3p/ORC6 axis affected the progression of glioma.

ANGI-04. IKIP SUPPRESSES MIGRATION AND INVASION OF GLIOBLASTOMA BY DOWNREGULATING THBS1/FAK SIGNALING

Abstract BACKGROUND The role of the inhibitor of NF-κB kinase-interacting protein (IKIP) in glioblastoma (GBM) migration and invasion remains poorly understood, despite its known involvement in the negative regulation of NF-κB signaling and inflammation. This study aimed to investigate the impact of IKIP on GBM metastasis and elucidate the underlying molecular mechanisms. METHODS Expression levels of IKIP were analyzed in gliomas and normal brain tissues using bioinformatic analysis of public databases and immunohistochemical staining of clinical samples. Transwell and wound healing assays were employed to assess the migration and invasion of GBM cell lines. RNA sequencing was conducted to unravel the molecular pathways involved. RESULTS Bioinformatic analysis revealed a significantly higher expression of IKIP in GBM compared to normal brain tissues, and its upregulation was associated with a poor prognosis in glioma patients. However, immunohistochemical and immunofluorescent staining demonstrated the downregulation of IKIP in GBM. Furthermore, functional assays demonstrated that IKIP overexpression suppressed the migratory and invasive capabilities of GBM cell lines, whereas IKIP knockdown enhanced migration and invasion. Mechanistically, IKIP overexpression downregulated THBS1 at the transcriptional level, resulting in the inhibition of THBS1/FAK signaling. CONCLUSIONS This study provides evidence for the first time that IKIP exerts inhibitory effects on GBM migration and invasion by downregulating THBS1/FAK signaling. These findings shed light on the complex mechanisms underlying GBM progression and identify IKIP as a potential therapeutic target for GBM invasion.

TMIC-62. COMPLEMENT FACTOR H IS A NOVEL LIGAND FOR THE INDUCIBLE T CELL CO-STIMULATOR AND PROMOTES SURVIVAL OF REGULATORY T CELLS IN THE GLIOMA MICROENVIRONMENT

Abstract The survival rates of glioma patients have not shown significant improvement in recent years despite aggressive treatment and advancements in immunotherapy. This lack of response to treatment can be attributed in part to the immunosuppressive microenvironment commonly found in gliomas, where regulatory T cells (Tregs) play a critical role in immunologic tolerance. In this study, we aimed to investigate the influence of complement factor H (FH) on Tregs within the glioma microenvironment. Our findings revealed that FH acts as a novel ligand for the inducible T cell costimulator (ICOS). This interaction between FH and ICOS promotes the survival of Tregs. Furthermore, FH enhances the functional capabilities of Tregs that are crucial for modulating the tumor microenvironment. These include the secretion of transforming growth factor beta and interleukin 10, as well as the suppression of effector T cell proliferation. Immunostaining of human and mouse gliomas demonstrated that cancer cells directly produce FH. Additionally, database analysis revealed an association between upregulated FH expression, the presence of Tregs, and poor prognosis in glioma patients. We validated these findings in a glioma mouse model, where knockdown of FH expression showed a clear tendency to prolong survival. Given that the accumulation of Tregs is indicative of a poor prognosis and represents a promising target for therapy, it is crucial to consider FH expression when evaluating the effectiveness of immunotherapies against glioma.

TMIC-42. ACROLEIN PRODUCED BY GLIOMA CELLS UNDER HYPOXIA INHIBITS NEUTROPHIL AKT ACTIVITY AND SUPPRESSES ANTI-TUMORAL ACTIVITIES

Abstract Glioblastoma (GBM), WHO grade 4 glioma, is the most malignant primary brain tumor. The median overall survival of GBM ranges from 12 to 16 months. The tumor microenvironment of GBM is characterized by tissue hypoxia and infiltration of immunosuppressive cells. Neutrophils have been reported to shift from an anti-inflammatory phenotype to a pro-tumoral role (N2 phenotype) during glioma progression. However, the mechanism of this transformation remains unclear. Acrolein (Acr) is a highly-reactive α,β-unsaturated aldehyde produced under hypoxic conditions via lipid peroxidation, resulting in cellular impairment through DNA or protein conjugation. In this study, we found that acrolein produced by U87MG cells under hypoxic conditions suppresses neutrophil superoxide generation, inhibits neutrophil tumor-suppressive activities, and induces N2 marker arginase 1 (Arg-1) expression. Scavenging acrolein with dimercaprol reverses these effects. Further investigation revealed that acrolein inhibits AKT enzymatic activity by forming Acr-AKT conjugates at Cys 310. In a syngeneic subcutaneous mice glioma model, dimercaprol treatment is associated with decreased tumor size, reduced acrolein conjugate expression in the tumor tissue, and restored neutrophil superoxide generation. In addition, we also found that the higher acrolein-DNA adduct expression in tumor tissues is associated with a poor prognosis of glioma patients, and the evaluated acrolein-protein conjugates in the serum of glioma patients are correlated to the functional impairment of neutrophils. These results suggest acrolein polarizes the neutrophils toward the N2 phenotype and contributes to the immunosuppressive microenvironment and glioma progression. Acrolein scavenging may be a novel strategy for glioma treatment.

LAIR1 drives glioma progression by nuclear focal adhesion kinase dependent expressions of cyclin D1 and immunosuppressive chemokines/cytokines

Leukocyte-associated immunoglobulin-like receptor-1 (LAIR1), an immune receptor containing immunoreceptor tyrosine-based inhibiory motifs (ITIMs), has emerged as an attractive target for cancer therapy. However, the intrinsic function of LAIR1 in gliomas remains unclear. In this study, the poor prognosis of glioma patients and the malignant proliferation of glioma cells in vitro and in vivo were found to be closely correlated with LAIR1. LAIR1 facilitates focal adhesion kinase (FAK) nuclear localization, resulting in increased transcription of cyclin D1 and chemokines/cytokines (CCL5, TGFβ2, and IL33). LAIR1 specifically supports in the immunosuppressive glioma microenvironment via CCL5-mediated microglia/macrophage polarization. SHP2Q510E (PTP domain mutant) or FAKNLM (non-nuclear localizing mutant) significantly reversed the LAIR1-induced growth enhancement in glioma cells. In addition, LAIR1Y251/281F (ITIMs mutant) and SHP2Q510E mutants significantly reduced FAK nuclear localization, as well as CCL5 and cyclin D1 expression. Further experiments revealed that the ITIMs of LAIR1 recruited SH2-containing phosphatase 2 (SHP2), which then interacted with FAK and induced FAK nuclear localization. This study uncovered a critical role for intrinsic LAIR1 in facilitating glioma malignant progression and demonstrated a requirement for LAIR1 and SHP2 to enhance FAK nuclear localization.

GTF2E2 downregulated by miR-340-5p inhibits the malignant progression of glioblastoma.

Glioblastoma is the most common malignant tumor in the central nervous system. The general transcription factor IIE subunit beta (GTF2E2) is crucial for physiological and pathological functions, but its roles in the malignant biological function of glioma remain ambiguous. CCK-8, colony formation assays, TUNEL assays, cell migration assays, wound-healing assays, and xenograft model were established to investigate the biological functions of GTF2E2 both in vitro and in vivo. GTF2E2 was overexpressed in glioma and was associated with poor prognosis of glioma patients. Biological functions of GTF2E2 were investigated both in vitro and in vi0vo by multiple experiments. Moreover, we explored the possible mechanisms of GTF2E2. In our results, we demonstrated that GTF2E2 could be regulated by miR-340-5p directly or indirectly. CCND1 was transcriptionally affected by GTF2E2 and glioma progression was then regulated. Our data presented the overexpression of GTF2E2 in glioma and indicated the association between GTF2E2 and glioma prognosis. GTF2E2 was found to be regulated by miR-340-5p and thus affect downstream gene expressions and glioma progression. Our results indicate that GTF2E2 might be a potential target in the diagnosis and treatments of glioblastoma.

HOXD9 is a potential prognostic biomarker involved in immune microenvironment of glioma.

Glioma is the prevailing malignant tumor affecting the brain and central nervous system, constituting over 80% of all malignant brain tumors. HOXD9 has been implicated in the development of glioma, but the specific mechanism of its influence on glioma pathogenesis remains incompletely understood. The purpose of this study was to investigate the role of HOXD9 in glioma and examine the changes in HOXD9 expression during the progression of glioma, thus contributing new insights into the pathogenesis of glioma. Glioma samples from the Cancer Gene Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) datasets were included in this study. Variations in HOXD9 expression in gliomas between different subgroups of multiple clinical characteristics were explored, and the expression was validated in glioma samples using qRT-PCR and western blotting. Next, the impact of HOXD9 on the prognosis of gliomas was explored by survival analysis, receiver operating characteristic curve, and nomogram plots. Subsequently, the association between HOXD9 and the tumor immune microenvironment was explored using the ssGSEA algorithm and the ESTIMATE algorithm. Then, immune-related pathways associated with HOXD9 were determined by differential express analysis and GSEA. Finally, HOXD9-related genomic alterations were identified. HOXD9 expression is upregulated and correlated with malignant properties in glioma. Similarly, our validation results showed significantly upregulated protein and mRNA levels of HOXD9 in glioma brain tissues. In addition, high HOXD9 expression was indicative of a poor prognosis for glioma patients. Additionally, elevated HOXD9 levels were associated with reduced tumor purity and higher levels of immune invasion. Finally, HOXD9 was significantly associated with genomic alterations. Overall, this study has unveiled a significant association between HOXD9 and the prognosis and survival of glioma patients. Our findings highlight the potential of HOXD9 as a prognostic biomarker, implicating its role in influencing the glioma immune microenvironment.

Glioblastoma vascular plasticity limits effector T-cell infiltration and is blocked by cAMP activation.

Glioblastoma (GBM) is the deadliest form of brain cancer, characterized as a highly angiogenetic and immunosuppressive malignancy. Although immune checkpoint blockades have revolutionized cancer therapy, their therapeutic efficacy in GBM has been far less than expected or even ineffective. Here, we reveal that the genomic signature of glioma-derived endothelial cells (GdECs) correlates with an immunosuppressive state and poor prognosis of glioma patients. In vitro model of GdECs differentiation is established for drug screening, and we identify that cAMP activators could effectively block the GdECs formation by inducing oxidative stress. cAMP activator impairs the GdECs differentiation in vivo, normalizes the tumor vessels, and alters the immune profile, especially increasing the influx and function of CD8+ effector T cells. The dual blockade of GdECs and PD-1 induces tumor regression and establishes anti-tumor immune memory. Our study reveals that endothelial transdifferentiation of GBM shapes an endothelial immune cell barrier and supports the clinical development of combining GdECs blockade and immunotherapy for GBM.

Using mixed reality technique combines multimodal imaging signatures to adjuvant glioma photodynamic therapy.

Photodynamic therapy (PDT) promotes significant tumor regression and extends the lifetime of patients. The actual operation of PDT often relies on the subjective judgment of experienced neurosurgeons. Patients can benefit more from precisely targeting PDT's key operating zones. We used magnetic resonance imaging scans and created 3D digital models of patient anatomy. Multiple images are aligned and merged in STL format. Neurosurgeons use HoloLens to import reconstructions and assist in PDT execution. Also, immunohistochemistry was used to explore the association of hyperperfusion sites in PDT of glioma with patient survival. We constructed satisfactory 3D visualization of glioma models and accurately localized the hyperperfused areas of the tumor. Tumor tissue taken in these areas was rich in CD31, VEGFA and EGFR that were associated with poor prognosis in glioma patients. We report the first study using MR technology combined with PDT in the treatment of glioma. Based on this model, neurosurgeons can focus PDT on the hyperperfused area of the glioma. A direct benefit was expected for the patients in this treatment. Using the Mixed Reality technique combines multimodal imaging signatures to adjuvant glioma PDT can better exploit the vascular sealing effect of PDT on glioma.

Enhancer-driven transcription of MCM8 by E2F4 promotes ATR pathway activation and glioma stem cell characteristics

BackgroundGlioma stem cells (GSCs) are responsible for glioma recurrence and drug resistance, yet the mechanisms underlying their maintenance remains unclear. This study aimed to identify enhancer-controlled genes involved in GSCs maintenance and elucidate the mechanisms underlying their regulation.MethodsWe analyzed RNA-seq data and H3K27ac ChIP-seq data from GSE119776 to identify differentially expressed genes and enhancers, respectively. Gene Ontology analysis was performed for functional enrichment. Transcription factors were predicted using the Toolkit for Cistrome Data Browser. Prognostic analysis and gene expression correlation was conducted using the Chinese Glioma Genome Atlas (CGGA) data. Two GSC cell lines, GSC-A172 and GSC-U138MG, were isolated from A172 and U138MG cell lines. qRT-PCR was used to detect gene transcription levels. ChIP-qPCR was used to detect H3K27ac of enhancers, and binding of E2F4 to target gene enhancers. Western blot was used to analyze protein levels of p-ATR and γH2AX. Sphere formation, limiting dilution and cell growth assays were used to analyze GSCs growth and self-renewal.ResultsWe found that upregulated genes in GSCs were associated with ataxia-telangiectasia-mutated-and-Rad3-related kinase (ATR) pathway activation, and that seven enhancer-controlled genes related to ATR pathway activation (LIN9, MCM8, CEP72, POLA1, DBF4, NDE1, and CDKN2C) were identified. Expression of these genes corresponded to poor prognosis in glioma patients. E2F4 was identified as a transcription factor that regulates enhancer-controlled genes related to the ATR pathway activation, with MCM8 having the highest hazard ratio among genes positively correlated with E2F4 expression. E2F4 bound to MCM8 enhancers to promote its transcription. Overexpression of MCM8 partially restored the inhibition of GSCs self-renewal, cell growth, and the ATR pathway activation caused by E2F4 knockdown.ConclusionOur study demonstrated that E2F4-mediated enhancer activation of MCM8 promotes the ATR pathway activation and GSCs characteristics. These findings offer promising targets for the development of new therapies for gliomas.

The paralogues MAGOH and MAGOHB are oncogenic factors in high-grade gliomas and safeguard the splicing of cell division and cell cycle genes

ABSTRACT The exon junction complex (EJC) plays key roles throughout the lifespan of RNA and is particularly relevant in the nervous system. We investigated the roles of two EJC members, the paralogs MAGOH and MAGOHB, with respect to brain tumour development. High MAGOH/MAGOHB expression was observed in 14 tumour types; glioblastoma (GBM) showed the greatest difference compared to normal tissue. Increased MAGOH/MAGOHB expression was associated with poor prognosis in glioma patients, while knockdown of MAGOH/MAGOHB affected different cancer phenotypes. Reduced MAGOH/MAGOHB expression in GBM cells caused alterations in the splicing profile, including re-splicing and skipping of multiple exons. The binding profiles of EJC proteins indicated that exons affected by MAGOH/MAGOHB knockdown accumulated fewer complexes on average, providing a possible explanation for their sensitivity to MAGOH/MAGOHB knockdown. Transcripts (genes) showing alterations in the splicing profile are mainly implicated in cell division, cell cycle, splicing, and translation. We propose that high MAGOH/MAGOHB levels are required to safeguard the splicing of genes in high demand in scenarios requiring increased cell proliferation (brain development and GBM growth), ensuring efficient cell division, cell cycle regulation, and gene expression (splicing and translation). Since differentiated neuronal cells do not require increased MAGOH/MAGOHB expression, targeting these paralogs is a potential option for treating GBM.

Budding uninhibited by benzimidazoles 1 promotes cell proliferation, invasion, and epithelial-mesenchymal transition via the Wnt/β-catenin signaling in glioblastoma

The pathogenesis and progression of GBM (glioblastoma), as one of the most frequently occurring malignancies of the central nervous system, are regulated by several genes. BUB1 (budding uninhibited by benzimidazoles 1) is a mitotic checkpoint that plays an important role in chromosome segregation as well as in various tumors. However, its role in glioma is unknown. The current study discovered prominently elevated BUB1 in glioma and a significant relationship between BUB1 expression, a high World Health Organization grade, and a poor prognosis in glioma patients. Moreover, BUB1 triggered EMT (epithelial-mesenchymal transition) apart from promoting glioma cell proliferation, migration, and infiltration. Besides, BUB1 promoted EMT by activating the Wnt/β-catenin axis. As implied by our study, BUB1 probably has the potential as a target for GBM management.

TRIM6 silencing for inhibiting growth and angiogenesis of gliomas by regulating VEGFA

Gliomas are the highest prevalent primary central nervous system (CNS) cancers with poor overall survival rate. There is an urgent need to conduct more research into molecular therapies targeting critical elements of gliomas. This study herein targeted to assess the impact of tripartite motif protein 6 (TRIM6) on gliomas. Using public databases, we found the increased TRIM6 expression in tissues of glioma which was linked with worst overall survival. Silencing TRIM6 promoted glioma cell proliferation, migration and angiogenesis, suggesting the promoting effects of TRIM6 on gliomas. Knockdown of TRIM6 expression downregulated the expression levels of Forkhead box M1 (FOXM1) and vascular endothelial growth factor A (VEGFA) in glioma cells. Afterwards, impact of TRIM6 on VEGFA expression was regulated by FOXM1. VEGFA overexpression reversed the decreased abilities of glioma cell proliferation, migration and angiogenesis caused by silencing TRIM6. Furthermore, we also found that TRIM6 promoted the growth of gliomas in the xenograft mouse model. In summary, the expression of TRIM6 was increased which was related to poor prognosis of glioma patients. TRIM6 promoted glioma cell proliferation, migration and angiogenesis through the FOXM1-VEGFA pathway. Therefore, TRIM6 carries capacity to be explored as a novel therapeutic target in clinical.

Potential functions and therapeutic implications of glioma-resident mesenchymal stem cells.

Mesenchymal stem cells (MSCs) are emerging crucial regulators in the tumor microenvironment (TME), which contributes to tumor progression and therapeutic resistance. MSCs are considered to be the stromal components of several tumors, their ultimate contribution to tumorigenesis and their potential to drive tumor stem cells, especially in the unique microenvironment of gliomas. Glioma-resident MSCs (GR-MSCs) are non-tumorigenic stromal cells. The phenotype of GR-MSCs is similar to that of prototype bone marrow-MSCs and GR-MSCs enhance the GSCs tumorigenicity via the IL-6/gp130/STAT3 pathway. The higher percentage of GR-MSCs in TME results in the poor prognosis of glioma patients and illuminate the tumor-promoting roles for GR-MSCs by secreting specific miRNA. Furthermore, the GR-MSC subpopulations associated with CD90 expression determine their different functions in glioma progression and CD90low MSCs generate therapeutic resistance by increasing IL-6-mediated FOXS1 expression. Therefore, it is urgent to develop novel therapeutic strategies targeting GR-MSCs for GBM patients. Despite that several functions of GR-MSCs have been confirmed, their immunologic landscapes and deeper mechanisms associated with the functions are not still expounded. In this review, we summarize the progress and potential function of GR-MSCs, as well as highlight their therapeutic implications based on GR-MSCs in GBM patients.

Overexpression of Podoplanin Predicts Poor Prognosis in Patients With Glioma.

High podoplanin (PDPN) expression correlates with poor prognosis in various cancers. However, the expression and clinical value of PDPN in glioma are unclear. In this study, PDPN expression was compared in 227 glioma tissues and 22 paired non-neoplastic tissues, and its association with prognostic factors was statistically analyzed. The effect of PDPN knockdown on the proliferation ability of glioma cells (U87MG and U118MG cell lines) was assessed along with the underlying molecular mechanism. Overexpression of PDPN was observed in the majority of glioma tissues compared with the expression in normal tissues. PDPN overexpression was positively correlated with IDH wild-type status, TERT promoter mutation status, and ATRX retention status, and was negatively correlated with 1p/19q codeletion status. The expression level of PDPN was positively correlated with the glioma grade in the diffuse astrocytoma, IDH wild-type. High PDPN expression was also negatively correlated with survival in astrocytoma patients with IDH mutation or wild-type and in glioblastoma patients with IDH wild-type. Grade, radiochemotherapy, and PDPN overexpression emerged as independent indicators for a poor prognosis of glioma patients. PDPN knockdown suppressed proliferation and reduced p-Akt and p-mTOR protein expression in glioma cells. PDPN is a potential biomarker or therapeutic target for glioma that is closely associated with tumor grade and poor prognosis, which may play a role in enhancing cell proliferation via Akt/mTOR signaling.