Low-grade Glioma Patients Research Articles

DNMT3A promotes glioma growth and malignancy via TNF-α/NF-κB signaling pathway.

DNMT3A is the main molecule responsible for DNA methylation in cells. DNMT3A affects the progression of inflammation, degenerative diseases, and malignant tumors, and exhibits significant aberrantly expression in tumor tissues. Transcriptome data and relevant clinical information were downloaded from The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Gene Expression Omnibus (GEO) datasets. Differential expression analysis and prognostic analysis were conducted based on above statistics. We constructed a clinical prognostic model and identified DNMT3A as an independent prognostic factor to accurately predict patient prognosis. Differential gene enrichment analysis revealed that DNMT3A affects the progression of glioma through multiple pathways, among which the tumor necrosis factor-α (TNF-α)/nuclear factor-kappa B (NF-κB) pathway shows a strong correlation. Immunological analysis also revealed a certain correlation between DNMT3A and tumor immunity. We demonstrated through gene editing that DNMT3A can affect the release of TNF-α in cells, thereby affecting the progression of glioma. Functional experiments have also demonstrated that DNMT3A plays a crucial role in tumors. RNA-sequencing and survival analyses of lower-grade glioma (LGG) patients in TCGA, CGGA, and GEO cohorts showed that high DNMT3A expression correlated with poor prognosis of LGG patients. Univariate and multivariate Cox regression analyses showed that DNMT3A expression was an independent prognostic indicator in LGG. The prognosis prediction nomogram with age, World Health Organization (WHO) grading, and DNMT3A expression showed reliable performance in predicting the 1-, 3-, and 5-year overall survival (OS) of LGG patients. Functional enrichment analysis, gene set enrichment analysis (GSEA), and ESTIMATE algorithm analyses showed that DNMT3A expression was associated with the tumor infiltration of immune cells and predicted response to immunotherapy in two immunotherapy cohorts of pan-cancer patients. Furthermore, short hairpin RNA (shRNA)-mediated knockdown of DNMT3A in the LGG cell lines suppressed proliferation, migration, and invasion of LGG cells by downregulating the TNF-α/NF-κB signaling pathway. Our data showed that DNMT3A was a potential prognostic biomarker in glioma. DNMT3A promoted proliferation and malignancy of LGG cells through the TNF-α/NF-κB signaling pathway. DNMT3A is a promising therapeutic target for treating patients with LGG.

Identification of Lower Grade Glioma Antigens Based on Ferroptosis Status for mRNA Vaccine Development.

mRNA vaccines represent a promising and innovative strategy within the realm of cancer immunotherapy. However, their efficacy in treating lower-grade glioma (LGG) requires evaluation. Ferroptosis exhibits close associations with the initiation, evolution, and suppression of cancer. In this study, we explored the landscape of the ferroptosis-associated tumor microenvironment to facilitate the development of mRNA vaccines for LGG patients. Genomic and clinical data of the LGG patients was obtained from the Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. Ferroptosis-related tumor antigens were identified based on differential expression, mutation status, correlation with antigen-presenting cells, and prognosis, relevance to immunogenic cell death (ICD). Antigen expression levels in LGG specimens and cell lines were validated using real time-polymerase chain reaction (RT-PCR). Consensus clustering was employed for patient classification. The immune landscapes of ferroptosis subtypes were further characterized, including immune responses, prognostic ability, tumor microenvironment, and tumor-related signatures. Five tumor antigens, namely, HOTAIR, IDO1, KIF20A, NR5A2, and RRM2 were identified in LGG. RT-PCR demonstrated higher expression of these genes in LGG compared to the control. Twelve gene modules and four ferroptosis subtypes (FS1-FS4) of LGG were defined. FS2 and FS4, characterized as "cold" tumors due to their decreased tumor mutation burden (TMB) and immune checkpoint proteins (ICPs), were deemed appropriate candidates for the mRNA vaccine. HOTAIR, IDO1, KIF20A, NR5A2, and RRM2 were identified as promising candidate antigens for the development of an LGG mRNA vaccine, particularly offering potential benefits to FS2 and FS4 patients.

Asleep triple-modality motor mapping for perirolandic gliomas: an update on outcomes.

Maximal safe resection of gliomas near motor pathways is facilitated by intraoperative mapping. Here, the authors review their results with triple-modality asleep motor mapping with motor evoked potentials and bipolar and monopolar stimulation for cortical and subcortical mapping during glioma surgery in an expanded cohort. This was a retrospective analysis of patients who underwent resection of a perirolandic glioma near motor pathways. Clinical and neuromonitoring data were extracted from the electronic medical records for review. All patients with new or worsened postoperative motor deficits were followed for at least 6 months. Regression analyses were performed to assess factors associated with a persistent motor deficit. Between January 2018 and December 2021, 160 operations were performed in 151 patients with perirolandic glioma. Sixty-four patients (40%) had preoperative motor deficits, and the median extent of resection was 98%. Overall, patients in 38 cases (23.8%) had new or worse immediate postoperative deficits by discharge, and persistent deficits by 6 months were seen in 6 cases (3.8%), all in patients with high-grade gliomas. There were no new persistent deficits in low-grade glioma patients (0%). The risk factors for a persistent deficit included an insular tumor component (OR 8.6, p = 0.01), preoperative motor weakness (OR 8.1, p = 0.03), intraoperative motor evoked potential (MEP) changes (OR 36.5, p < 0.0001), and peri-resection cavity ischemia (OR 7.5, p = 0.04). Most persistent deficits were attributable to ischemic injury despite structural preservation of the descending motor tracts. For patients with persistent motor deficits, there were 3 cases (50%) in which a change in MEP was noted but subsequent subcortical monopolar stimulation still elicited a response in the corresponding muscle groups, suggesting axonal activation distal to a point of injury. Asleep triple motor mapping results in a low rate of permanent deficits, especially for low-grade gliomas. Peri-resection cavity ischemia continues to be a significant risk factor for permanent deficit despite maintaining appropriate distance for subcortical tracts based on monopolar feedback.

Potential value of expression of receptor accessory protein 4 for evaluating the prognosis of lower-grade glioma patients.

REEP4 is involved in the regulation of the biological process of mitosis. Lower grade glioma (LGG), as a malignant tumor, is accompanied by abnormalities in mitosis, but there have been no reports of REEP4 so far. We collected transcriptome data, DNA methylation data and the clinical characteristics of thousands of patients with LGG. Various big data analysis methods and molecular biology experiments were employed to reveal the impact of REEP4 on the pathological process of LGG. It was found that the expression of REEP4 was significantly elevated and negatively regulated by its methylation site. Therefore, both the high expression of REEP4 and low methylation state of cg16311504 showed that the patients are correlated with lower patient survival rate. In addition, high REEP4 expression participates in the regulation of various cancer-related cellular signaling pathways, such as the cell cycle, MAPK signaling pathway, NOD-like receptor signaling pathway, etc. More importantly, the level of immune cell infiltration significantly increased in the high expression group of REEP4 in the LGG tumor microenvironment and REEP4 has a high positive correlation with PD-L1 and other immune checkpoints. In brief, this study is the first to introduce REEP4 in malignant tumors, which can be used as an independent risk factor that participates in the malignant process of LGG. More importantly, REEP4 has the potential to become a new star in the field of anti-tumor treatment.

An MRI Radiomics Approach to Predict the Hypercoagulable Status of Gliomas.

Venous thromboembolic events are frequent complications of Glioblastoma Multiforme (GBM) and low-grade gliomas (LGGs). The overexpression of tissue factor (TF) plays an essential role in the local hypercoagulable phenotype that underlies these complications. Our aim was to build an MRI radiomics model for the non-invasive exploration of the hypercoagulable status of LGG/GBM. Radiogenomics data from The Cancer Genome Atlas (TCGA) and REMBRANDT (Repository for molecular BRAin Neoplasia DaTa) cohorts were used. A logistic regression model (Radscore) was built in order to identify the top 20% TF-expressing tumors, considered to be at high thromboembolic risk. The most contributive MRI radiomics features from LGG/GBM linked to high TF were identified in TCGA using Least Absolute Shrinkage and Selection Operator (LASSO) regression. A logistic regression model was built, whose performance was analyzed with ROC in the TCGA/training and REMBRANDT/validation cohorts: AUC = 0.87 [CI95: 0.81-0.94, p < 0.0001] and AUC = 0.78 [CI95: 0.56-1.00, p = 0.02], respectively. In agreement with the key role of the coagulation cascade in gliomas, LGG patients with a high Radscore had lower overall and disease-free survival. The Radscore was linked to the presence of specific genomic alterations, the composition of the tumor coagulome and the tumor immune infiltrate. Our findings suggest that a non-invasive assessment of the hypercoagulable status of LGG/GBM is possible with MRI radiomics.

Abstract 4942: Unraveling a prognostic and predictive 8-gene signature related to cuproplasia in pan-cancer

Abstract This study aims at identifying a cuproplasia-related gene signature to predict outcome for cancer patients based on gene regulatory networks. Copper is a vital micronutrient involved in many biological processes. Copper influences tumor growth through a process called cuproplasia, defined as abnormal copper-dependent cell-growth and proliferation. Copper-chelation therapy targeting this process has demonstrated efficacy in several clinical trials against cancer. While the molecular pathways associated with cuproplasia are partially known, genetic heterogeneity across different cancer types has limited the understanding of how cuproplasia impacts patient survival. We proposed a novel framework based on gene regulatory networks to identify critical cuproplasia-related genes (CCGs) across different cancer types. Utilizing RNA-sequencing data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) datasets, we generated gene regulatory networks for 23 different cancer types. We applied a network control method to discover critical genes in these networks and combined with copper metabolism related genes to identify CCGs across 23 cancer types. We then performed a comprehensive analysis on the identified CCGs to better understand their potential roles and associations with cancer patient survival. We discovered 30 CCGs which were enriched in pathways related to a wide range of biological processes supporting cancer progression and immune evasion processes. The specific processes related to the identified CCGs include autophagy, cell cycle regulation, cell proliferation, kinase signaling pathways, immune infiltration, and immune checkpoint regulation. From this, we identified a novel 8-CCG signature significantly associated with survival pan-cancer, including CDK1, AP1S1, CASP3, MAP1LC3A, SNCA, TMPRSS6, MAPT, and GSK3B. Although some of these genes are known for their important roles in various malignancies and are associated with poor survival, this is the first study defining their connection with high copper levels in cancer cells. Furthermore, in keeping with previous studies that have used metal regulatory genes to predict outcomes in a specific cancer type, we specifically used low grade glioma (LGG), a cancer type highly impacted by intracellular copper level, as an example to explore the role of CCGs in a specific cancer type. Through our proposed gene regulatory network methodology, we identified a 3-gene signature that overlapped with a 6-gene prognostic risk score model for LGG patients. These 6 genes included ALB, CASP3, CDK1, CP, CYP1A1, and MT-CO1. To our knowledge, this is the first pan-cancer analysis for genes related to cuproplasia. The findings from our study highlight the use of gene regulatory networks to identify CCGs which could be used to develop novel targeted therapeutic strategies. Citation Format: Vu Viet Hoang Pham, Toni Jue, Jessica Bell, Fabio Luciani, Filip Michniewicz, Giuseppe Cirillo, Linda Vahdat, Chelsea Mayoh, Orazio Vittorio. Unraveling a prognostic and predictive 8-gene signature related to cuproplasia in pan-cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4942.

Abstract 7361: The prognostic value of TP53 and tumor suppressor gene mutations in temozolomide-treated IDH1 mutant low-grade glioma

Abstract Background: Temozolomide has been extensively utilized in the treatment of gliomas across various grades, offering significant therapeutic benefits. However, the impact of concurrent mutations in TP53 and other tumor suppressor genes (TSG) on treatment outcomes in patients with IDH1 mutant low-grade glioma (LGG) treated with temozolomide remains to be fully understood. This study aims to explore the influence of these genetic factors on the response to temozolomide therapy, focusing on identifying potential genetic markers that can predict therapeutic outcomes. Methods: Our study exclusively analyzed The Cancer Genome Atlas (TCGA) LGG PanCancer dataset from cBioPortal, focusing on IDH1 mutant cases treated with temozolomide. Data analysis was carried out using Python 3.11. The cohort was categorized based on genetic alterations: TP53 mutation with additional TSGs (ATRX, CIC, FUBP1, NOTCH1) mutations (TP53mut/TSGmut), TP53 mutation without additional TSG mutations (TP53mut/TSGwt), and no TP53 mutations (TP53wt). Results: In our study, 178 LGG samples with IDH-1 mutation treated with temozolomide were selected. Of these, 113 samples had a mutation in TP53, and 88 had an additional mutation in a TSG. For TP53mut/TSGmut compared to TP53wt, the analysis revealed significant differences in clinical outcomes (PFS: HR 1.95, CI: 1.17-3.26, p=0.011; OS: HR 1.6, CI: 1.13-2.26, p=0.008). When comparing TP53mut/TSGwt with TP53mut/TSGmut, the findings were (PFS: HR 1.36, CI: 0.63-2.92, p=0.432; OS: HR 0.93, CI: 0.31-2.79, p=0.896). Finally, the comparison between TP53wt and TP53mut/TSGwt showed (PFS: HR 1.45, CI: 0.62-3.39, p=0.397; OS: HR 2.31, CI: 0.64-8.3, p=0.200). Conclusion: The presence of concurrent mutations in TP53 and other TSGs in IDH1 mutant LGG patients (TP53mut/TSGmut) is indicative of a more aggressive disease course and reduced response to temozolomide treatment, as evidenced by significantly worse clinical outcomes. In contrast, the TP53mut/TSGwt group did not exhibit significant differences in treatment outcomes. These findings underscore the importance of detailed genetic profiling in developing personalized treatment strategies for this patient population. Citation Format: Yahia E. Salem, Bayan O. Abu Alragheb. The prognostic value of TP53 and tumor suppressor gene mutations in temozolomide-treated IDH1 mutant low-grade glioma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7361.

Identification of Key Molecular Pathways and Associated Genes as Targets to Overcome Radiotherapy Resistance Using a Combination of Radiotherapy and Immunotherapy in Glioma Patients.

Recent mechanistic studies have indicated that combinations of radiotherapy (RT) plus immunotherapy (via CSF-1R inhibition) can serve as a strategy to overcome RT resistance and improve the survival of glioma mice. Given the high mortality rate for glioma, including low-grade glioma (LGG) patients, it is of critical importance to investigate the mechanism of the combination of RT and immunotherapy and further translate the mechanism from mouse studies to improve survival of RT-treated human glioma patients. Using the RNA-seq data from a glioma mouse study, 874 differentially expressed genes (DEGs) between the group of RT-treated mice at glioma recurrence and the group of mice with combination treatment (RT plus CSF-1R inhibition) were translated to the human genome to identify significant molecular pathways using the KEGG enrichment analysis. The enrichment analysis yields statistically significant signaling pathways, including the phosphoinositide 3-kinase (PI3K)/AKT pathway, Hippo pathway, and Notch pathway. Within each pathway, a candidate gene set was selected by Cox regression models as genetic biomarkers for resistance to RT and response to the combination of RT plus immunotherapies. Each Cox model is trained using a cohort of 295 RT-treated LGG patients from The Cancer Genome Atlas (TCGA) database and validated using a cohort of 127 RT-treated LGG patients from the Chinese Glioma Genome Atlas (CGGA) database. A four-DEG signature (ITGB8, COL9A3, TGFB2, JAG1) was identified from the significant genes within the three pathways and yielded the area under time-dependent ROC curve AUC = 0.86 for 5-year survival in the validation set, which indicates that the selected DEGs have strong prognostic value and are potential intervention targets for combination therapies. These findings may facilitate future trial designs for developing combination therapies for glioma patients.

Recurrence Patterns and Surveillance Imaging in Pediatric Brain Tumor Survivors.

Surveillance magnetic resonance imaging (MRI) is routinely used to detect recurrence in pediatric central nervous system (CNS) tumors. The frequency of neuroimaging surveillance varies without a standardized approach. A single-institutional retrospective cohort study evaluated the frequency of recurrences. This study included 476 patients with the majority diagnosed with low-grade glioma (LGG) (n=138, 29%), high-grade glioma (HGG) (n=77, 16%), ependymoma (n=70, 15%), or medulloblastoma (n=61, 13%). LGG, HGG, and ependymoma patients more commonly had multiply recurrent disease ( P =0.08), with ependymoma patients demonstrating ≥2 relapses in 47% of cases. Recurrent disease was identified by imaging more often than clinical symptoms (65% vs. 32%; P =<0.01). Patients diagnosed with meningioma demonstrated the longest mean time to first relapse (74.7mo) whereas those with atypical teratoid rhabdoid tumor and choroid plexus carcinoma tended to have the shortest time to relapse (8.9and 9mo, respectively). Overall, 22 patients sustained first relapse >10 years from initial diagnosis. With a higher tendency toward detection of tumor recurrence/progression on MRI surveillance in comparison to clinical progression, surveillance imaging is necessary in routine follow up of pediatric CNS tumor survivors. With some relapses >10 years from initial diagnosis, imaging beyond this time point may be useful in particular tumor types. While the study is limited in outcome analysis, earlier detection of recurrence would lead to earlier initiation of treatment and implementation of salvage treatment regimens which can impact survival and quality of life.

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.

Comprehensive analysis of histone acetylation-related genes in glioblastoma and lower-grade gliomas: Insights into drug sensitivity, molecular subtypes, immune infiltration, and prognosis.

The purpose of this research was to study the impact of histone acetylation on glioblastoma multiforme (GBM) and lower-grade gliomas (LGG) and its potential implications for patient prognosis. We aimed to assess the histone acetylation score (HAs) and its relationship with key genes involved in histone acetylation regulation. The TCGA-GBMLGG dataset, which provides comprehensive genomic and clinical information, was utilized for this study. We calculated the HAs by analyzing the expression levels of histone acetylation-related genes, including histone acetyltransferases and histone deacetylases, in GBM and LGG patients. Kaplan-Meier survival analysis was performed to evaluate the prognostic value of the HAs. Furthermore, correlation analysis and differential expression analysis were conducted to assess the relationship between the HAs and key genes involved in histone acetylation regulation, as well as the expression differences of immune checkpoint genes. Our analysis revealed a significant association between the HAs and patient prognosis, with higher HAs correlating to poorer outcomes in GBM and LGG patients. We observed a positive correlation between the HAs and key genes involved in histone acetylation regulation, indicating their potential role in modulating histone acetylation levels. Moreover, we found significant expression differences for immune checkpoint genes between high and low HAs groups, suggesting a potential impact of histone acetylation on the immune response in GBM and LGG. This study highlights the significance of histone acetylation in GBM and LGG. The HAs demonstrated prognostic value, indicating its potential as a clinically relevant biomarker. The correlation between the HAs and key genes involved in histone acetylation regulation provides insights into the underlying mechanisms driving histone acetylation dysregulation in GBM and LGG. Furthermore, the observed expression differences of immune checkpoint genes suggest a potential link between histone acetylation and the immune response. These findings contribute to our understanding of the molecular basis of GBM and LGG and have implications for personalized treatment approaches targeting histone acetylation and the immune microenvironment. Further validation and functional studies are needed to confirm these findings and explore potential therapeutic strategies.

Consensus guidelines for the management of adult low-grade gliomas for low and middle-income countries.

Low-grade gliomas (LGG) are brain tumors of glial cells origin. They are grade 1 and grade 2 tumors according to the WHO classification. Diagnosis of LGG is made through imaging, histopathological analysis, and use of molecular markers. Imaging alone does not establish the grade of the tumor and thus a histopathological examination of tissue is crucial in establishing the definite histopathological diagnosis. Clinical presentation varies according to the location and size of the tumor. Surgical resection is strongly recommended in LGG over observation to improve overall survival as surgery leads to greater benefit due to progression-free survival. Radiation has shown benefits in LGG patients in randomized controlled trials and chemotherapy with temozolomide has also shown good results. This paper covers the principles of low-grade gliomas management and summarizes the recommendations for the LMICs.

Comprehensive analyses of m1A regulator-mediated modification patterns determining prognosis in lower-grade glioma (running title: m1A in LGG)

N1-methyladenosine (m1A) modification is a crucial post-transcriptional regulatory mechanism of messenger RNA (mRNA) in living organisms. Few studies have focused on analysis of m1A regulators in lower-grade gliomas (LGG). We employed the Nonnegative Matrix Factorization (NMF) technique on The Cancer Genome Atlas (TCGA) dataset to categorize LGG patients into 2 groups. These groups exhibited substantial disparities in terms of both overall survival (OS) and levels of infiltrating immune cells. We collected the significantly differentially expressed immune-related genes between the 2 clusters, and performed LASSO regression analysis to obtain m1AScores, and established an m1A-related immune-related gene signature (m1A-RIGS). Next, we categorized all patients with LGG into high- and low-risk subgroups, predictive significance of m1AScore was confirmed by conducting univariate/multivariate Cox regression analyses. Additionally, we confirmed variations in immune-related cells and ssGSEA and among the high-/low-risk subcategories in the TCGA dataset. Finally, our study characterized the effects of MSR1 and BIRC5 on LGG cells utilizing Edu assay and flow cytometry to explore the effects of modulation of these genes on glioma. The results of this study suggested that m1A-RIGS may be an excellent prognostic indicator for patients with LGG, and could also promote development of novel immune-based treatment strategies for LGG. Additionally, BIRC5 and MSR1 may be potential therapeutic targets for LGG.

Potential role of POFUT1 as a prognostic predictor in low-grade gliomas: Immune microenvironment insights from a pan-cancer analysis

The POFUT1 gene, known to be up-regulated in various tumor tissues and associated with tumor biology, has yet to be explored for its potential role in immune response regulation and tumor immune microenvironment. The normalized pan-cancer dataset (TCGA Pan-Cancer) was downloaded from the UCSC database, followed by analysis of POFUT1 expression in various tumors and functional enrichment analysis. The correlation between POFUT1 expression levels and patient prognosis was assessed. GSEA of POFUT1 based on low-grade glioma (LGG) samples and immune infiltration analyses of LGG and glioblastoma (GBM) were conducted. The correlation between POFUT1 expression levels and infiltration levels of 22 immune cells in LGG and GBM was examined, as well as the correlation between immune cell infiltration levels and LGG patient prognosis. Additionally, the relationship between POFUT1 expression levels and characteristic gene expression of identified immune cells was evaluated. Lastly, external dataset validation was performed using the integrated CGGA dataset. Significant differences were observed in POFUT1 expression levels across 20 tumor types. High POFUT1 expression correlated with poor prognosis in GBMLGG, and LGG patients. Enrichment analysis and GSEA of POFUT1 in LGG demonstrated involvement in tumor-related and immune-related pathways. A positive correlation was identified between POFUT1 expression levels and infiltration levels of resting memory CD4+ T cells, as well as M2 macrophages or M2-like TAMs in the LGG immune microenvironment, potentially contributing to poor prognosis. External dataset validation revealed a positive correlation between M2 macrophages or M2-like TAMs and POFUT1 expression levels in LGG, and a negative correlation with LGG patient prognosis. POFUT1's negative impact on LGG prognosis may result from its influence on M2 macrophage and M2-like TAM infiltration levels within the immune microenvironment. This suggests its potential as a prognostic predictor and therapeutic target for LGG.

Awake brain mapping by direct cortical stimulation; technical note to get higher resection rate and low morbidity in low-grade glioma patients.

Direct cortical stimulation has been used for brain mapping and localization of eloquent areas in awake patients. This simplified technique is to provide the positive areas, which can be preserved if the tumor or lesions are involved eloquent areas. The main objective of this study is to determine whether direct cortical stimulation in awake brain mapping for low-grade glioma patients increases the rate of resection or not. The authors present a retrospective study between 2020 to 2022 that includes 35 cases in a single center, to get higher resection rate, and their consequences in awake craniotomy in low-grade glioma patients. Here, two neurosurgeons were involved and the minimum follow-up was 12 months. The authors achieved 80% removal of tumors. To get higher resection rate we emphasized negative mapping with prior anatomical analysis to understand functional realignment. Stimulation-related complications will be thoroughly discussed with a potential future direction to minimize the issues. The authors used PROMIS score to measure patients physical and mental health status and kernofsky score to measure performance status before and after successful surgery. The authors found three cases of transient deficit in repetitive stimulation. Repeated stimulation to identify the eloquent areas with low voltage frequency is a good option. Numbness in the face related to stimulation may continue for 6 weeks. Functional realignment in shifted brain and edema can be seen while doing cortical and subcortical stimulation. Most of the stimulation from low to high for language mapping may vary from patient to patient. For safe removal of low-grade glioma a steep learning curve is needed to find out the negative areas, though the authors emphasize positive mapping of areas to secure the maximum eloquence.

A novel peroxisome-related gene signature predicts clinical prognosis and is associated with immune microenvironment in low-grade glioma.

Low-grade glioma (LGG), a common primary tumor, mainly originates from astrocytes and oligodendrocytes. Increasing evidence has shown that peroxisomes function in the regulation of tumorigenesis and development of cancer. However, the prognostic value of peroxisome-related genes (PRGs) in LGG has not been reported. Therefore, it is necessary to construct a prognostic risk model for LGG patients based on the expression profiles of peroxisome-related genes. Our study mainly concentrated on developing a peroxisome-related gene signature for overall survival (OS) prediction in LGG patients. First, according to these peroxisome-related genes, all LGG patients from The Cancer Genome Atlas (TCGA) database could be divided into two subtypes. Univariate Cox regression analysis was used to find prognostic peroxisome-related genes in TCGA_LGG dataset, and least absolute shrinkage and selection operator Cox regression analysis was employed to establish a 14-gene signature. The risk score based on the signature was positively associated with unfavorable prognosis. Then, multivariate Cox regression incorporating additional clinical characteristics showed that the 14-gene signature was an independent predictor of LGG. Time-dependent ROC curves revealed good performance of this prognostic signature in LGG patients. The performance about predicting OS of LGG was validated using the GSE107850 dataset derived from the Gene Expression Omnibus (GEO) database. Furethermore, we constructed a nomogram model based on the gene signature and age, which showed a better prognostic power. Gene ontology (GO) and Kyoto Encylopedia of Genes and Genomes (KEGG) analyses showed that neuroactive ligand-receptor interaction and phagosome were enriched and that the immune status was decreased in the high-risk group. Finally, cell counting kit-8 (CCK8) were used to detect cell proliferation of U251 and A172 cells. Inhibition of ATAD1 (ATPase family AAA domain-containing 1) and ACBD5 (Acyl-CoA binding-domain-containing-5) expression led to significant inhibition of U251 and A172 cell proliferation. Flow cytometry detection showed that ATAD1 and ACBD5 could induce apoptosis of U251 and A172 cells. Therefore, through bioinformatics methods and cell experiments, our study developed a new peroxisome-related gene signature that migh t help improve personalized OS prediction in LGG patients.

Verbal fluency predicts work resumption after awake surgery in low-grade glioma patients.

Resuming professional activity after awake surgery for diffuse low-grade glioma (DLGG) is an important goal, which is not reached in every patient. Cognitive deficits can occur and persist after surgery. In this study, we analyzed the impact of mild cognitive impairments on the work resumption. Fifty-four surgeries (including five redo surgeries) performed between 2012 and 2020 for grade 2 (45) and 3 (nine) DLGG in 49 professionally active patients (mean age 40 [range 23-58.) were included. We retrospectively extracted the results of semantic and phonemic verbal fluency tests from preoperative and 4-month postoperative cognitive assessments. Patients were interviewed about their working life after surgery, between April and June 2021. Patients (85%) returned to work, most within 3 to 6months. Patients (76%) reported subjective complaints (primarily fatigue). Self-reported symptoms and individual and clinical variables had no impact on the work resumption. Late-postoperative average Z-scores in verbal fluency tasks were significantly lower than preoperative for the entire cohort (Wilcoxon test, p < 0.001 for semantic and p = 0.008 for phonemic fluency). The decrease in Z-scores was significantly greater (Mann Whitney U-test, semantic, p = 0.018; phonemic, p = 0.004) in the group of patients who did not return to work than in the group of patients who did. The proportion of patients returning to work was comparable to similar studies. A decrease in verbal fluency tasks could predict the inability to return to work.

Survivors of infant atypical teratoid/rhabdoid tumors present with severely impaired cognitive functions especially for fluid intelligence and visual processing: data from the German brain tumor studies.

The contribution of tumor type, multimodal treatment, and other patient-related factors upon long-term cognitive sequelae in infant brain tumor survivors remains undefined. We add our retrospective analysis of neuropsychological and quality of survival (QoS) outcome data of survivors of atypical teratoid/rhabdoid tumors (ATRT) and extracranial malignant rhabdoid tumors of the soft tissues (eMRT) and kidneys (RTK) treated within the same framework. Neuropsychological data from children with ATRT were compared to data from children with non-irradiated low-grade glioma (LGG). Following surgery, patients (0-36months at diagnosis) had received radio-chemotherapy (up to 54Gy; ATRT: n=13; eMRT/RTK: n=7), chemotherapy only (LGG: n=4; eMRT/RTK: n=1) or had been observed (LGG: n=11). Neuropsychological evaluation employing comparable tests was performed at median 6.8years (ATRT), 6.6years (eMRT/RTK), and 5.2years (LGG) post diagnosis. We detected sequelae in various domains for all tumor types. Group comparison showed impairments, specifically in fluid intelligence (p=.041; d=1.11) and visual processing (p=.001; d=2.09) in ATRT patients when compared to LGG patients. Results for psychomotor speed and attention abilities were significantly below the norm for both groups (p<.001-.019; d=0.79-1.90). Diagnosis predicted impairments of cognitive outcome, while sex- and age-related variables did not. QoS outcome for all rhabdoid patients displayed impairments mainly in social (p=.008; d=0.74) and school functioning (p=.048; d=0.67), as well as lower overall scores in psychosocial functioning (p=.023; d=0.78) and quality of life (p=.006; d=0.79) compared to healthy controls. Survivors of infant ATRT experience various late effects in cognition and QoS following multimodal treatment, while infant LGG patients without radiotherapy demonstrated comparable impairments in psychomotor and attention abilities. Early onset and multimodal treatment of rhabdoid tumors require close monitoring of neuropsychological and QoS sequelae.

A comprehensive analysis of the prognostic value and immune microenvironment of lysosome-dependent cell death in glioma: Including glioblastoma and low-grade glioma.

Lysosome-dependent cell death (LCD) plays a significant role in overcoming cancer apoptosis and drug resistance. However, the relationship between LCD-associated genes (LCDGs) and glioma, including glioblastoma (GBM) and low-grade glioma (LGG), remains unclear. In this study, an LCDGs risk signature was constructed for glioma patients by utilizing 4 algorithms (Extreme Gradient Boosting, Support Vector Machine, Random Forest, and Generalized Linear Models) to identify core LCDGs. Their correlation with clinical features and the immune microenvironment was also determined in glioma, GBM, and LGG. Additionally, the role of hub LCDGs in various cancers was elucidated via pan-cancer analyses. Validation of the core gene in glioma was performed using qRT-qPCR and immunofluorescence staining analysis. The results showed that the LCDGs risk signature was strongly associated with the prognosis, cancer grades, histological types, and primary therapy outcomes of glioma patients. Furthermore, it was closely linked to the overall survival of LGG patients. Mechanistic analyses revealed a significant association between the risk signature and the immune microenvironment in glioma. Based on differential expression analysis, receiver operating characteristic analysis, and interacted model algorithms, LAPTM4A was identified as a hub LCDG in glioma. It exhibited significant upregulation in glioma, GBM, and LGG samples. Moreover, LAPTM4A expression correlated with the prognosis of glioma and LGG patients, as well as age, grades, histological types, and primary therapy outcomes in glioma. Pan-cancer analysis confirmed that LAPTM4A expression was modulated in the majority of cancers and was associated with the prognosis of various cancers. Mechanistic analyses suggested a strong relationship between LAPTM4A and immune cell infiltration, as well as several drug sensitivities. In conclusion, our findings suggest that LAPTM4A may serve as a potential oncogene associated with LCD in pan-cancer, particularly in glioma, GBM, and LGG. These findings provide important insights for individualized treatment of glioma.

Cold atmospheric plasma (CAP) treatment increased reactive oxygen and nitrogen species (RONS) levels in tumor samples obtained from patients with low-grade glioma

Low-grade gliomas (LGGs) are a heterogeneous group of tumors with an average 10-year survival rate of 40%–55%. Current treatment options include chemotherapy, radiotherapy, and gross total resection (GTR) of the tumor. The extent of resection (EOR) plays an important role in improving surgical outcomes. However, the major obstacle in treating low-grade gliomas is their diffused nature and the presence of residual cancer cells at the tumor margins post resection. Cold Atmospheric Plasma (CAP) has shown to be effective in targeted killing of tumor cells in various glioma cell lines without affecting non-tumor cells through Reactive Oxygen and Nitrogen Species (RONS). However, no study on the effectiveness of CAP has been carried out in LGG tissues till date. In this study, we applied helium-based CAP on tumor tissues resected from LGG patients. Our results show that CAP is effective in promoting RONS accumulation in LGG tissues when CAP jet parameters are set at 4 kV voltage, 5 min treatment time and 3 lpm gas flow rate. We also observed that CAP jet is more effective in thinner slice preparations of tumor as compared to thick tumor samples. Our results indicate that CAP could prove to be an effective adjunct therapy in glioma surgery to target residual cancer cells to improve surgical outcome of patients with low-grade glioma.