Higher WHO Grade Research Articles

HOXD12 defines an age-related aggressive subtype of oligodendroglioma

Oligodendroglioma, IDH-mutant and 1p/19q-codeleted has highly variable outcomes that are strongly influenced by patient age. The distribution of oligodendroglioma age is non-Gaussian and reportedly bimodal, which motivated our investigation of age-associated molecular alterations that may drive poorer outcomes. We found that elevated HOXD12 expression was associated with both older patient age and shorter survival in the TCGA (FDR < 0.01, FDR = 1e−5) and the CGGA (p = 0.03, p < 1e−3). HOXD12 gene body hypermethylation was associated with older age, higher WHO grade, and shorter survival in the TCGA (p < 1e−6, p < 0.001, p < 1e−3) and with older age and higher WHO grade in Capper et al. (p < 0.002, p = 0.014). In the TCGA, HOXD12 gene body hypermethylation and elevated expression were independently prognostic of NOTCH1 and PIK3CA mutations, loss of 15q, MYC activation, and standard histopathological features. Single-nucleus RNA and ATAC sequencing data showed that HOXD12 activity was elevated in neoplastic tissue, particularly within cycling and OPC-like cells, and was associated with a stem-like phenotype. A pan-HOX DNA methylation analysis revealed an age and survival-associated HOX-high signature that was tightly associated with HOXD12 gene body methylation. Overall, HOXD12 expression and gene body hypermethylation were associated with an older, atypically aggressive subtype of oligodendroglioma.

Clinical and methylomic features of spinal meningiomas.

The objective of our study was to analyze methylomic and clinical features of a cohort of spinal meningiomas (SMs) resected at our institution. This is a retrospective study of patients undergoing SM resection at our institution between 2010 and 2023. Clinical and radiographic characteristics were reviewed and analyzed with standard statistical methods. A Partitioning Around Medoids approach was used to cluster SMs with methylation data in a combined cohort from our institution and a publicly available dataset by methylation profiles. Clinical variables and pathway analyses were compared for the resulting clusters. Sixty-five SMs were resected in 53 patients with median radiographic follow-up of 34 months. Forty-six (87%) patients were female. The median age at surgery was 65 years and median tumor diameter was 1.9cm. The five-year progression-free survival rate was 90%, with subtotal resection being associated with recurrence or progression (p = .017). SMs clustered into hypermethylation, intermediate methylation, and hypomethylation subgroups. Tumors in the hypermethylated subgroup were associated with higher WHO grade (p = .046) and higher risk histological subtypes (p <.001), while tumors in the hypomethylated subgroup were least likely to present with copy-number loss in chromosome 22q (p <.0001). SMs classified as immune-enriched under a previously developed intracranial meningioma classifier did not have increased leukocyte fractions or hypomethylation of genes typically hypomethylated in immune-enriched tumors. SMs are more benign than their intracranial counterparts, and gross-total resection results in long term PFS. Methylation profiling identifies subgroups with differences in clinical variables.

Combined NF2/PTEN mutations as predictors of meningioma aggressiveness.

e14044 Background: In meningiomas, loss of the NF2 tumor suppressor gene function leads to dysregulation of cell proliferation and tumor formation. PTEN, another tumor suppressor gene correlated with worse prognosis in tumors like gliomas, has also been reported in meningiomas, but the impact of its mutation alone or in conjunction with NF2 loss on outcomes in these tumors is unexplored. We aimed to evaluate whether dual NF2/PTEN mutations comprise a more aggressive meningioma phenotype compared to tumors with only NF2 mutations. Identifying this high-risk genetic profile could allow for preventative and individualized treatment of these aggressive meningiomas. Methods: We reviewed patients who underwent meningioma resection at our institution from January 2018 through October 2022. Demographic information, tumor characteristics, pre- and post-operative clinical characteristics, and outcomes were collected. Meningioma specimens were analyzed by immunohistochemistry for WHO grading and Ki67 proliferation index and by sequencing for genomic alterations. We performed multivariable logistic regression analyses to identify clinical outcomes associated with proliferation index and genetic mutations. Results: We identified NF2 mutations in 24 meningiomas and dual NF2/PTEN mutations in 7 meningiomas. Mutation rates did not significantly differ based on demographic factors including sex, age, race, socioeconomic status, or prior cranial radiation status (p&gt;0.05). The majority of tumors with these mutations (93%) were in non-skull base regions (i.e. convexity, parafalcine). Tumors with both NF2 and PTEN mutations were more likely to be WHO grade III tumors than those with the NF2 mutation alone (29% versus 9%). Tumors with dual mutations had higher likelihood of having Ki67 proliferation indices ≥ 10% (OR 5.98, p&lt;0.01). While higher Ki67 index was significantly associated with features of more aggressive tumors including higher WHO grade and recurrence rates, dual mutation in NF2 and PTEN is associated with higher rate of recurrence (OR 13.13, p&lt;0.001) and mortality (OR 5.14, p&lt;0.05) compared to NF2 irrespective of Ki67 index. Notably, patients with mutations in NF2 alone or both NF2/PTEN did not differ in preoperative Karnofsky performance score, Simpson resection grade, or presence of post operative residual tumor. Conclusions: Our results demonstrated that concomitant NF2 and PTEN mutations in meningiomas were associated with higher WHO grades, tumor proliferation indices, recurrence rates, and mortality rates. This finding suggests that NF2/PTEN mutated meningiomas represent a distinct subset of tumors that demonstrate a more aggressive clinical and histopathological phenotype that may require more aggressive treatment and closer surveillance. Further investigation is warranted to confirm the prognostic relevance of NF2/PTEN mutations in meningioma and elucidate their underlying molecular mechanisms.

F.3 Multicentre prospective validation of integrated molecular classification of meningiomas and prediction of recurrence risk using DNA methylation

Background: Meningiomas have significant heterogeneity between patients, making prognostication challenging. For this study, we prospectively validate the prognostic capabilities of a DNA methylation-based predictor and multiomic molecular groups (MG) of meningiomas. Methods: DNA methylation profiles were generated using the Illumina EPICarray. MG were assigned as previously published. Performance of our methylation-based predictor and MG were compared with WHO grade using generalized boosted regression modeling by generating time-dependent receiver operating characteristic (ROC) curves and computing area under the ROC curves (AUCs) along with their 95% confidence interval using bootstrap resampling. Results: 295 meningiomas treated from 2018-2021 were included. Methylation-defined high-risk meningiomas had significantly poorer PFS and OS compared to low-risk cases (p&lt;0.0001). Methylation risk increased with higher WHO grade and MG. Higher methylome risk (HR 4.89, 95%CI 2.02-11.82) and proliferative MG (HR 4.11, 95%CI 1.29-13.06) were associated with significantly worse PFS independent of WHO grade, extent of resection, and adjuvant RT. Both methylome-risk and MG classification predicted 3- and 5-year PFS and OS more accurately than WHO grade alone (ΔAUC=0.10-0.23). 42 cases were prescribed adjuvant RT prospectively although RT did not significantly improve PFS in high-risk cases (p=0.41). Conclusions: Molecular profiling outperforms conventional WHO grading for prognostication in an independent, prospectively collected cohort of meningiomas.

Clinical value of semi-quantitative parameters in 68Ga-DOTANOC PET/CT in treatment and diagnostics of cranial meningioma in a single-center retrospective analysis

BackgroundThe value of somatostatin-analogon PET tracers in theranostics in cranial meningioma has been demonstrated in several studies however, the value of semi-quantitative parameters for therapy and patient outcome is still unclear.MethodsA retrospective study was performed comparing measured semi-quantitative 68Ga-DOTANOC PET/CT parameters (maximum standardized uptake value = SUVmax, mean standardized uptake value = SUVmean, and metabolic tumor volume = MTV) and calculated ratios (SUVmax tumor/to pituitary gland, SUVmax tumor to superior sinus sagittalis), versus WHO grades and overall outcome. Patients with histological confirmed meningioma or high probability for meningioma in previous cranial MRI were eligible.ResultsThirty-two patients from January 2018 to February 2023 were retrospectively included. WHO grade I meningioma was confirmed in 17 patients, WHO grade II in five patients, WHO grade III in two patients, while in eight patients diagnosis was solely based on MRI and 68Ga-DOTANOC PET/CT findings. In 12 cases stable disease was present, in 15 cases radiation therapy was chosen, in three cases neurosurgery was preferred while in two cases palliative care was chosen. Median SUVmax values increased with WHO grade (15.84, 17.22, and 28.4, p = 0.134, Kruskal–Wallis-test) and no statistically significant difference was present for MTV, SUVmax, and calculated ratios, although the ratio for SUVmax tumor to superior sinus sagittalis had the lowest value of p = 0.067.ConclusionIncreased SUVmax values in the tumor in 68Ga-DOTANOC PET/CT are associated with higher WHO grade, although further studies including larger patient collectives are needed to solidify this hypothesis.

Clinical value of semi-quantitative parameters in 68Ga-DOTANOC PET/CT in treatment and diagnostics of cranial meningioma in a single-center retrospective analysis

BackgroundThe value of somatostatin-analogon PET tracers in theranostics in cranial meningioma has been demonstrated in several studies; however, the value of semi-quantitative parameters for therapy and patient outcome is still unclear.MethodsA retrospective study was performed comparing measured semi-quantitative 68Ga-DOTANOC PET/CT parameters (maximum standardized uptake value = SUVmax, mean standardized uptake value = SUVmean, and metabolic tumor volume = MTV) and calculated ratios (SUVmax tumor to pituitary gland and SUVmax tumor to superior sinus sagittalis), versus the WHO grades and overall outcome. Patients with histological confirmed meningioma or high probability for meningioma in the previous cranial MRI were eligible.ResultsThirty-two patients from January 2018 to February 2023 were retrospectively included. The WHO grade I meningioma was confirmed in 17 patients, the WHO grade II in five patients, and the WHO grade III in two patients, while in eight patients, diagnosis was solely based on MRI and 68Ga-DOTANOC PET/CT findings. In 12 cases, stable disease was present, in 15 cases, radiation therapy was chosen, in three cases, neurosurgery was preferred, while in two cases, palliative care was chosen. Median SUVmax values increased with the WHO grade (15.84, 17.22, and 28.4, p = 0.134, Kruskal–Wallis test), and no statistically significant difference was present for MTV, SUVmax, and calculated ratios.ConclusionIncreased SUVmax values in the tumor in 68Ga-DOTANOC PET/CT are associated with higher WHO grade, although further studies including larger patient collectives are needed to solidify this hypothesis.

Predicting histological grade in symptomatic meningioma by an objective estimation of the tumoral surface irregularity

IntroductionPredicting the histopathologic grade of meningioma is relevant because local recurrence is significantly greater in WHO grade II–III compared to WHO grade I tumours, which would ideally benefit from a more aggressive surgical strategy. It has been suggested that higher WHO grade tumours are more irregularly-shaped. However, irregularity is a subjective and observer-dependent feature. In this study, the tumour surface irregularity of a large series of meningiomas, measured upon preoperative MRI, is quantified and correlated with the WHO grade. MethodsUnicentric retrospective observational study of a cohort of symptomatic meningiomas surgically removed in the time period between January 2015 and December 2022. Using specific segmentation software, the Surface Factor (SF) was calculated for each meningioma. SF is an objective parameter that compares the surface of a sphere (minimum surface area for a given volume) with the same volume of the tumour against the actual surface of the tumour. This ratio varies from 0 to 1, being 1 the maximum sphericity. Since irregularly-shaped meningiomas present proportionally greater surface area, the SF tends to decrease as irregularity increases. SF was correlated with WHO grade and its predictive power was estimated with ROC curve analysis. ResultsA total of 176 patients (64.7% females) were included in the study; 120 WHO grade I (71.9%), 43 WHO grade II (25.7%) and 4 WHO grade III (2.4%). A statistically significant difference was found between the mean SF of WHO grade I and WHO grade II–III tumours (0.8651 ± 0.049 versus 0.7081 ± 0.105, p < 0.0001). Globally, the SF correctly classified more than 90% of cases (area under ROC curve 0.940) with 93.3% sensibility and 80.9% specificity. A cutoff value of 0.79 yielded the maximum precision, with positive and negative predictive powers of 82.6% and 92.6%, respectively. Multivariate analysis yielded SF as an independent prognostic factor of WHO grade. ConclusionThe Surface Factor is an objective and quantitative parameter that helps to identify aggressive meningiomas preoperatively. A cutoff value of 0.79 allowed differentiation between WHO grade I and WHO grade II–III with high precision.

Identification and Validation of TEAD Family’s Prognostic Effects and Immune Microenvironment Regulations in Glioma

Background. Gliomas are primary malignant tumors of the central nervous system. The TEA domain transcription factor (TEAD) family proteins are the ultimate effector molecules of the Hippo pathway. However, their expression and function in gliomas have not been further studied. Methods. This study employed R software as the primary analysis tool. Public databases were used to analyze the expression and prognostic significance of TEADs. Functional enrichment analyses were conducted to determine the functions of the TEADs. We then explored their interaction with tumor‐infiltrating immune cells and immune checkpoint proteins (ICPs). A Cox regression model was used to estimate the prognostic value of the TEADs. Finally, we conducted experiments to confirm TEAD3’s function in vitro. Results. TEAD expression was frequently increased in glioma and other malignant tumors. High TEAD expression was found to be substantially linked with isocitrate dehydrogenase (IDH) wild type, noncodeletion of 1p/19q, high WHO grade, and poor prognosis in glioma patients. Functional analyses revealed TEAD involvement in cancer cell transcription. The high expression of TEADs was greatly related to the myeloid‐derived suppressor cells (MDSCs) and regulatory T‐cells (Tregs) infiltration. TEADs also showed significant correlations with ICP expression in glioma tissues. The Cox regression model demonstrated significant diagnostic and prognostic efficacy in glioma patients. The reduction in TEAD3 affects tumor cell proliferation, migration, invasion, and immune regulation. RNA sequencing disclosed that TEAD3 regulates immune‐related pathways, including negative regulation of the CTLA4 inhibitory pathway. Higher TEAD3 expression portended shorter overall survival (OS) and disease‐free survival (DFS) in patients with gliomas based on clinical samples. Conclusions. TEADs are overexpressed in gliomas and are associated with a poor prognosis. Importantly, this study discovered that TEADs influence the immunological milieu of glioma by modulating genes associated with immune infiltration.

Circulating Regulatory T Cells: A Novel Marker Associated with Liver Metastasis and the Treatment Response of Transarterial Embolization in Gastroenteropancreatic Neuroendocrine Tumors

Introduction: The aim of this study was to investigate the role of circulating regulatory T cells (Tregs) as a novel marker associated with liver metastases and treatment response to transarterial embolization (TAE) in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Methods: Circulating Tregs, defined as the CD4+CD25+CD127low/− population, were examined by flow cytometry in peripheral blood mononuclear cells from patients with GEP-NETs. Clinicopathological parameters, radiologic response, and hepatic progression-free survival (hPFS) data were collected. Results: The association between circulating Tregs and clinicopathological parameters was analyzed in 139 GEP-NET patients. Higher Treg levels were significantly associated with more progressive clinical features, including a higher WHO grade, more advanced TNM stage, and the presence of liver metastases. A Treg level ≥8.015% distinguished between patients with and without liver metastases. Among a cohort of 51 GEP-NET patients who were subjected to TAE for reducing liver metastasis burden, patients with higher Treg levels depicted unfavorable responses and significantly reduced hPFS after TAE treatment. We also revealed that patients with Treghigh (≥8.975%) displayed significantly shorter median hPFS than patients with Treglow (<8.975%). Additionally, after adjusting for other confounding clinical parameters, the association between Tregs and treatment response as well as hPFS remained significant, suggesting that Tregs may have a strong and independent prognostic impact in GEP-NETs. Conclusion: Our data suggest that circulating Tregs are a novel immunological marker associated with liver metastases and treatment response to TAE in patients with GEP-NETs.

PATH-48. KI-67 INDEX AS A PREDICTIVE MARKER OF MENINGIOMA CLINICO-PATHOLOGIC COURSE AND RECURRENCE FOLLOWING SURGICAL RESECTION: A RETROSPECTIVE STUDY

Abstract BACKGROUND/OBJECTIVE Meningiomas are the most common primary intracranial tumor in adults. Although usually benign, they have a variable clinical course. Ki-67, a nuclear protein involved in cell cycle regulation, has been widely studied as a marker of cellular proliferation in various cancers. However, the prognostic significance of Ki-67 in meningiomas remains controversial. Here, we investigate the Ki-67 index, as a predictive marker of meningioma recurrence following surgical resection and compare it to established prognostic markers such as WHO grade and degree of resection. METHODS The medical records of 451 consecutive patients with previously untreated cranial meningiomas who underwent resections from January 2011 to January 2021 at North Shore University Hospital (NSUH) were reviewed. Collected data included WHO grade, Ki-67 proliferative index, degree of resection, and meningioma recurrence. RESULTS There were 290 patients with grade I, 154 with grade II, and 7 with grade III meningiomas. The average post-resection follow-up period was 4 years, and 82 tumors (18%) recurred. Recurrence occurred significantly more frequently in tumors with a Ki67 index of 5 or more (31%) compared to those with a Ki67 index less than 5 (10.4%). Likewise, higher WHO grades were associated with a higher rates of recurrence, with rates of 11.3%, 27.9%, and 71.4% for grades 1, 2, and 3, respectively. Higher WHO grades also correlated with higher Ki67 scores (2.59, 10.01, and 20.71) for grades 1, 2, and 3, respectively. Additionally, a multivariate logistic regression model identified ki67, WHO grade and degree of resection as independent predictive variables for meningioma recurrence. CONCLUSION Our 10-year retrospective study suggests that the Ki67 index is a promising predictive marker for recurrence of intracranial meningioma following surgical resection. Our findings add to a growing body of data which supports inclusion of ki67 index in the WHO grading criteria.

PATH-49. COMPREHENSIVE RNA-SEQ ANALYSIS REVEALS NOVEL SUBTYPES OF MENINGIOMAS AND PREDICTS PATIENT OUTCOME.

Abstract OBJECTIVE Meningiomas are the most common intracranial tumor in humans. While most tumors are benign, some are malignant and ultimately lethal. Current grading systems based on WHO grade do not provide adequate risk stratification, therefore, better characterizations of the biology of aggressive meningiomas are needed. METHOD: We obtained 12 datasets from 9 institutions and 5 countries in North America, Europe and Asia and combined them with ~300 tumors sequenced from the University of Washington to create a set of ~1300 meningioma tumors. Raw sequencing data was aligned to hg38, batch corrected and then dimension reduction of normalized counts was performed to create a UMAP landscape. Differential expression analysis and gene set enrichment analysis were performed to elucidate the underlying biology of meningioma subtypes. RESULTS The analysis revealed nine distinct meningioma subtypes through unsupervised clustering. Clinical metadata, DNA sequencing, copy number alterations, and gene-fusion data effectively correlated with these identified clusters. These subtypes exhibited specific biological signatures. Notably, regional distribution of time to recurrence identified subtypes as well as intra-cluster differences of meningiomas with varying patient outcomes. The most aggressive subtype, characterized by higher WHO grades, frequent tumor recurrences, and shorter time to recurrence, exhibited elevated proliferation rates and RNA expression resembling embryonic limb development. To facilitate clinical applications, we developed a cross-validated nearest-neighbors-based algorithm that accurately mapped new patients onto this UMAP landscape, achieving a remarkable 95% accuracy. CONCLUSION Our study highlights the utility of RNA sequencing in discerning meningioma heterogeneity and provides a valuable tool in predicting tumor biology and patient prognosis. The integration of our UMAP landscape with patient data offers an effective approach for personalized treatment strategies.

Predicción del grado histológico en meningiomas sintomáticos mediante una estimación objetiva de la irregularidad de su superficie

IntroductionPredicting the histopathologic grade of meningioma is relevant because local recurrence is significantly greater in WHO grade II–III compared to WHO grade I tumors, which would ideally benefit from a more aggressive surgical strategy. It has been suggested that higher WHO grade tumors are more irregularly-shaped. However, irregularity is a subjective and observer-dependent feature. In this study, the tumor surface irregularity of a large series of meningiomas, measured upon preoperative MRI, is quantified and correlated with the WHO grade. MethodsUnicentric retrospective observational study of a cohort of symptomatic meningiomas surgically removed in the time period between January 2015 and December 2022. Using specific segmentation software, the surface factor (SF) was calculated for each meningioma. SF is an objective parameter that compares the surface of a sphere (minimum surface area for a given volume) with the same volume of the tumor against the actual surface of the tumor. This ratio varies from 0 to 1, being 1 the maximum sphericity. Since irregularly-shaped meningiomas present proportionally greater surface area, the SF tends to decrease as irregularity increases. SF was correlated with WHO grade and its predictive power was estimated with ROC curve analysis. ResultsA total of 176 patients (64.7% females) were included in the study; 120 WHO grade I (71.9%), 43 WHO grade II (25.7%) and 4 WHO grade III (2.4%). A statistically significant difference was found between the mean SF of WHO grade I and WHO grade II–III tumors (0.8651±0.049 versus 0.7081±0.105, p<0.0001). Globally, the SF correctly classified more than 90% of cases (area under ROC curve 0.940) with 93.3% sensibility and 80.9% specificity. A cutoff value of 0.79 yielded the maximum precision, with positive and negative predictive powers of 82.6% and 92.6%, respectively. Multivariate analysis yielded SF as an independent prognostic factor of WHO grade. ConclusionThe surface factor is an objective and quantitative parameter that helps to identify aggressive meningiomas preoperatively. A cutoff value of 0.79 allowed differentiation between WHO grade I and WHO grade II–III with high precision.

MENINGIOMA-04 PATTERN OF KI67 INDEX IN RELATION TO ANATOMICAL, HISTOLOGICAL AND DEMOGRAPHIC CHARACTERISTICS AMONG PATIENTS WITH MENINGIOMA SEEN AT KENYATTA NATIONAL HOSPITAL

Abstract BACKGROUND Meningioma remains the most frequently reported primary intracranial tumor that is indicated in the brain or spinal cord. It is relatively under-studied in Kenya, and hence literature and data are scarce on its immunohistochemically expression as well as its correlated clinical outcomes. The role of Ki-67 in the prognosis of meningioma’s has been indicated to be still debatable. METHODOLOGY Using a cross-sectional study design, patients who presented with meningioma were recruited through consecutive sampling. Data collected age, sex and the location of the tumor. Samples archived in the laboratory after surgery were retrieved, and Ki67 testing done to assess outcomes.Data analysis: SPSS version 26 was used. The Chi-square test was used to test the association between categorical exposure variables and the occurrence of Ki67. A p-value of 0.05 was considered statistically significant. RESULTS The study showed the average age of patients with new onset meningioma, as identified by histology, was 48.4 years. Our study found a higher percentage of female participants (79.5%) compared to male (20.5%). Meningothelial was the most common histological subtype, accounting for 34.1% of cases and classified as Grade 1 according to the WHO Grade system. 26.5% of grade 1 meningiomas had Ki67 labeling index of above 4%. The atypical type was the most significantly associated with Ki67 with a p-value of 0.012. The expression of Ki-67 labeling index was associated with WHO grade 2, and patients with this grade had a 6 times greater chance of having a Ki67 labeling index of more than 4%. The AUC model performance was 67.8%. This study found age, gender and location of tumor has no influence on mean Ki 67 labelling index. CONCLUSION High level of Ki-67 expression is associated with high pathological WHO grade II meningioma. 26.5% of grade 1 meningiomas had high Ki67 labeling index above 4%.

Transcriptomic Characterization of Copper-Binding Proteins for Predicting Prognosis in Glioma.

Copper and copper-binding proteins are key components of tumor progression as they play important roles in tumor invasion and migration, but their associations in gliomas remain unclear. Transcriptomic datasets of glioblastoma, low-grade glioma, and normal brain cortex were derived from the TCGA and GTEX databases. Differentially expressed genes (DEGs) of copper-binding proteins were screened and used to construct a prognostic model based on COX and LASSO regression, which was further validated by the CGGA datasets. The expressions of risk-model genes were selectively confirmed via anatomic feature-based expression analysis and immunohistochemistry. The risk score was stratified by age, gender, WHO grade, IDH1 mutation, MGMT promoter methylation, and 1p/19q codeletion status, and a nomogram was constructed and validated. A total of 21 DEGs of copper-binding proteins were identified and a six-gene risk-score model was constructed, consisting of ANG, F5, IL1A, LOXL1, LOXL2, and STEAP3, which accurately predicted 1-, 3-, and 5-year overall survival rates, with the AUC values of 0.87, 0.88, and 0.82, respectively. The high-risk group had a significantly shorter OS (p < 0.0001) and was associated with old age, wild-type IDH1, a high WHO grade, an unmethylated MGMT promoter, and 1p/19q non-codeletion and had higher levels of immune cell infiltration, cancer-immunity suppressor, and immune checkpoint gene expression as well as a higher TMB. The model based on the genes of copper-binding proteins could contribute to prognosis prediction and provide potential targets against gliomas.

Integrated bioinformatics analysis and experimental validation reveal ISG20 as a novel prognostic indicator expressed on M2 macrophage in glioma

BackgroundGlioma is the most common malignant primary brain tumor and is characterized by a poor prognosis and limited therapeutic options. ISG20 expression is induced by interferons or double-stranded RNA and is associated with poor prognosis in several malignant tumors. Nevertheless, the expression of ISG20 in gliomas, its impact on patient prognosis, and its role in the tumor immune microenvironment have not been fully elucidated.MethodsUsing bioinformatics, we comprehensively illustrated the potential function of ISG20, its predictive value in stratifying clinical prognosis, and its association with immunological characteristics in gliomas. We also confirmed the expression pattern of ISG20 in glioma patient samples by immunohistochemistry and immunofluorescence staining.ResultsISG20 mRNA expression was higher in glioma tissues than in normal tissues. Data-driven results showed that a high level of ISG20 expression predicted an unfavorable clinical outcome in glioma patients, and revealed that ISG20 was possibly expressed on tumor-associated macrophages and was significantly associated with immune regulatory processes, as evidenced by its positive correlation with the infiltration of regulatory immune cells (e.g., M2 macrophages and regulatory T cells), expression of immune checkpoint molecules, and effectiveness of immune checkpoint blockade therapy. Furthermore, immunohistochemistry staining confirmed the enhanced expression of ISG20 in glioma tissues with a higher WHO grade, and immunofluorescence assay verified its cellular localization on M2 macrophages.ConclusionsISG20 is expressed on M2 macrophages, and can serve as a novel indicator for predicting the malignant phenotype and clinical prognosis in glioma patients.

Immune cell identity behind the Ktrans mapping of mouse glioblastoma

Dynamic contrast-enhanced MR imaging (DCE-MRI) can assess the integrity of the blood brain barrier (BBB) and has been used in GBM patients to determine glioma grade, predict prognosis, evaluate treatment response, and differentiate treatment-induced effect from recurrence. The volume transfer constant Ktrans is the most frequently used metric in tumor assessment. Based on previous studies that a higher WHO grade of brain tumor was associated with greater impairments of immunity and that Ktrans value was associated with the pathological grading, the relationship between differential composition of immune cells in GBM tissue and dynamic changes in Ktrans mapping was anticipated in this study. The present study utilized an orthotopic allograft model of GBM in which mouse GL26 cells are implanted into Ccr2RFP/wtCx3cr1GFP/wt mice on a C57 background. The brain tumors exhibited heterogenous Ktrans values with the coefficients of variation (CV) above 75%, or relatively homogeneous Ktrans maps with CV values below 50%. The Ktrans values of homogeneous tumors ranged between 0.02/min–0.32/min with a median value of 0.10/min. The immune cell composition defined by quantitative immunohistochemistry and cell sorting was compared between the tumors with Ktrans values above 0.10/min (higher Ktrans) or below 0.10/min (lower Ktrans). Histological analysis showed that tumors with higher Ktrans values exhibited greater numbers of CCR2pos cells (257.60 ± 16.42/mm2 vs 203.23 ± 12.20/mm2, p = 0.04) and an increased ratio of CCR2pos cells to CX3CR1pos cells (1.20 ± 0.02 vs 0.38 ± 0.04, p = 0.001), the numbers of CX3CR1pos cells did not differ significantly based on Ktrans values (219.70 ± 16.20/mm2 vs 250.38 ± 21.20/mm2, p = 0.19). Flowcytometry analysis showed that tumors with higher Ktrans values (above 0.1/min) were associated with greater numbers of both overall monocytes (54.93 ± 6.81% vs 29.75 ± 3.54%, p = 0.01) and inflammatory monocytes (72.38 ± 1.49% vs 59.52 ± 2.44%, p = 0.001). In contrast, tumors with lower Ktrans values (below 0.1/min) exhibited greater numbers of patrolling monocytes (75.65 ± 4.14% vs 63 ± 6.94%, p = 0.05). In the tumors with lower Ktrans values, all three types of tumor associated cells, including patrolling monocytes, inflammatory monocytes, and microglia cells possessed a higher proportion of cells at pro-inflammatory status (41.77 ± 6.13% vs 25.06 ± 6.72%, p = 0.05; 27.50 ± 2.11% vs 20.62 ± 1.87%, p = 0.03; and 55.80 ± 9.88% vs 31.12 ± 7.31%, p = 0.05), inflammatory monocytes showed fewer anti-inflammatory cells (1.25 ± 0.62% vs 3.16 ± 3.56%, p = 0.04). Taken together, differences in Ktrans values were associated with differential immune cell phenotypes and polarizations. Ktrans mapping may therefore represent a novel approach for defining the immune status of GBM.

PSRC1 Regulated by DNA Methylation Is a Novel Target for LGG Immunotherapy.

Proline and serine-rich coiled-coil 1 (PSRC1) has been reported to function as an oncogene in several cancers by regulating mitosis, while there are few reports on the role of PSRC1 in lower-grade glioma (LGG). Thus, this study collected 22 samples and 1126 samples from our institution and several databases, respectively, to explore the function of PSRC1 in LGG. First, the analysis of clinical characteristics showed that PSRC1 was always highly expressed in more malignant clinical characteristics of LGG, such as higher WHO grade, recurrence type, and IDH wild type. Second, the prognosis analysis revealed that the high expression of PSRC1 was an independent risk factor contributing to the shorter overall survival of LGG patients. Third, the analysis of DNA methylation showed that the expression of PSRC1 was associated with its 8 DNA methylation sites, overall negatively regulated by its DNA methylation level in LGG. Fourth, the analysis of immune correlation revealed that the expression of PSRC1 was positively correlated with the infiltration of 6 immune cells and the expression of 4 well-known immune checkpoints in LGG, respectively. Finally, co-expression analysis and KEGG analysis showed the 10 genes most related to PSRC1 and the signaling pathways involved by PSRC1 in LGG, respectively, such as MAPK signaling pathway and focal adhesion. In conclusion, this study identified the pathogenic role of PSRC1 in the pathological progression of LGG, expanding the molecular understanding of PSRC1, and provided a biomarker and potential immunotherapeutic target for the treatment of LGG.

The clinical and genomic features of seizures in meningiomas.

Meningiomas are the most common central nervous system tumors. Although these tumors are extra-axial, a relatively high proportion (10%-50%) of meningioma patients have seizures that can substantially impact the quality of life. Meningiomas are believed to cause seizures by inducing cortical hyperexcitability that results from mass effect and cortical irritation, brain invasion, or peritumoral brain edema. In general, meningiomas that are associated with seizures have aggressive features, with risk factors including atypical histology, brain invasion, and higher tumor grade. Somatic NF2 mutated meningiomas are associated with preoperative seizures, but the effect of the driver mutation is mediated through atypical features. While surgical resection is effective in controlling seizures in most patients with meningioma-related epilepsy, a history of seizures and uncontrolled seizures prior to surgery is the most significant predisposing factor for persistent postoperative seizures. Subtotal resection (STR) and relatively larger residual tumor volume are positive predictors of postoperative seizures. Other factors, including higher WHO grade, peritumoral brain edema, and brain invasion, are inconsistently associated with postoperative seizures, suggesting they might be crucial in the development of an epileptogenic focus, but do not appear to play a substantial role after seizure activity has been established. Herein, we review and summarize the current literature surrounding meningioma-related epilepsy and underscore the interaction of multiple factors that relate to seizures in patients with meningioma.

Exploring the relationship between abnormally high expression of NUP205 and the clinicopathological characteristics, immune microenvironment, and prognostic value of lower-grade glioma.

Nuclear pore complex (NPC) is a major transport pivot for nucleocytoplasmic molecule exchange. Nucleoporin 205 (NUP205)-a main component of NPC-plays a key regulatory role in tumor cell proliferation; however, few reports document its effect on the pathological progression of lower-grade glioma (LGG). Therefore, we conducted an integrated analysis using 906 samples from multiple public databases to explore the effects of NUP205 on the prognosis, clinicopathological characteristics, regulatory mechanism, and tumor immune microenvironment (TIME) formation in LGG. First, multiple methods consistently showed that the mRNA and protein expression levels of NUP205 were higher in LGG tumor tissue than in normal brain tissue. This increased expression was mainly noted in the higher WHO Grade, IDH-wild type, and 1p19q non-codeleted type. Second, various survival analysis methods showed that the highly expressed NUP205 was an independent risk indicator that led to reduced survival time of patients with LGG. Third, GSEA analysis showed that NUP205 regulated the pathological progress of LGG via the cell cycle, notch signaling pathway, and aminoacyl-tRNA biosynthesis. Ultimately, immune correlation analysis suggested that high NUP205 expression was positively correlated with the infiltration of multiple immune cells, particularly M2 macrophages, and was positively correlated with eight immune checkpoints, particularly PD-L1. Collectively, this study documented the pathogenicity of NUP205 in LGG for the first time, expanding our understanding of its molecular function. Furthermore, this study highlighted the potential value of NUP205 as a target of anti-LGG immunotherapy.

Caspase-3 in glioma indicates an unfavorable prognosis by involving surrounding angiogenesis and tumor cell repopulation.

Effective biomarkers for estimating glioma prognosis are deficient. Canonically, caspase-3 acts as an "apoptosis executioner". However, its prognostic role in glioma and mechanistic effects on prognosis remain unclear. With glioma tissue microarrays, the prognostic roles of cleaved caspase-3 and its association with angiogenesis were explored. Next, by analyzing the mRNA microarray data from the CGGA, the prognostic role of CASP3 expression and correlations between CASP3 and markers of glioma angiogenesis and proliferation were investigated. To biologically interpret the prognostic role of caspase-3 in glioma, the influence of caspase-3 on surrounding angiogenesis and glioma cell repopulation was investigated with an in vitro cell co-culture model, which comprises irradiated U87 cells and un-irradiated firefly luciferase (Fluc)-labeled HUVEC (HUVEC-Fluc) or U87 (U87-Fluc) cells. The over-expressed dominant-negative caspase-3 was used to suppress normal caspase-3 activity. High levels of cleaved caspase-3 expression were associated with poor survival outcomes in glioma patients. Higher microvessel density was observed in patients with high levels of cleaved caspase-3 expression. By mining the microarray data in CGGA, it was revealed that higher CASP3 expression was found in glioma patients with lower Karnofsky Performance score, higher WHO grade, malignant histological subtype, wild-type IDH. Higher CASP3 expression indicated a worse survival rate in glioma patients. Patients with high CASP3 expression and negative IDH mutation showed the worst survival rate. Positive correlations were found between CASP3 and markers of tumor angiogenesis and proliferation. Subsequent data based on an in vitro cell co-culture model revealed that caspase-3 in irradiated glioma cells mediated pro-angiogenic and repopulation-promoting effects via regulating COX-2 signaling. With glioma tissue microarrays, high levels of COX-2 expression showed inferior survival outcomes in glioma patients. Glioma patients with high levels of cleaved caspase-3 and COX-2 expression showed the worst survival outcomes. This study innovatively identified an unfavorable prognostic role of caspase-3 in glioma. The pro-angiogenic and repopulation-prompting effects of caspase-3/COX-2 signaling may explain its unfavorable prognostic role and offer novel insights into therapy sensitization and curative effect prediction of glioma.