Common Central Nervous System Tumors Research Articles

Entering a new era of molecular classification of brain tumors: An update of 2021 World Health Organization classification in adult gliomas

Abstract Glioma is the most common primary central nervous system tumor. The World Health Organization (WHO) 2021 classification of gliomas extended from WHO 2016 in the integration of molecular and histological classifications. WHO 2021 aims to establish a specific diagnosis that could reflect the biological and clinical features of the tumors, and further transform into more specific clinical studies or trials and therapeutics. Major updates of WHO 2021 classification focusing on glioma were reviewed in this article.

Meningioma grading based on positron emission tomography: A systematic review and meta-analysis

IntroductionMeningiomas are the most common central nervous system tumor in adults. Knowledge of the tumor grade can guide optimal treatment timing and shape personalized follow-up strategies. Positron emission tomography (PET) has been utilized for the metabolic assessment of various intracranial space-occupying lesions. Herewith, we set out to evaluate the diagnostic accuracy of PET for the noninvasive assessment of meningioma's grade. Materials and methodsThe Medline, Scopus and Cochrane databases were systematically searched in March 2022 for studies that evaluated the sensitivity and specificity of PET compared to the gold standard of histological diagnosis in the grading of meningiomas. Summary statistics will be calculated and scatter plots, summary curve from the HSROC model and posterior predictions by empirical Bayes estimates will be presented. ResultsFive studies consisting of 242 patients with a total of 196 low-grade (Grade 1) and 46 high grade (Grade 2/3) meningiomas were included in our analysis. Three of the included studies used 18F-FDG, one study used 18F-FLT and one used(Whiting et al., 2011) 18 F-FET as PET tracers. The pooled sensitivity was 76% (95% CI: 52%–91%) and the pooled specificity was 89% (95% CI: 83%–93%). The diagnostic odds ratio was 27.17 (95% CI: 9.22–80.06), the positive likelihood ratio was 7.18 (95% CI: 4.54–11.34) and the negative likelihood ratio was 0.26 (95% CI: 0.11–0.61). ConclusionPET is a promising and viable option as a noninvasive imaging tool to differentiate the meningioma grades. However, currently it cannot overtake the gold standard of histological grade confirmation. More studies are required for further validation and refinement of this imaging technique and assessment of other radiotracers as well.

The relationship between connexin-43 expression and Ki67 in non-glial central nervous system tumors.

Advanced intercellular communication is a known oncogenic factor. In the central nervous system, Connexin-43 (Cx43) forms this junctional networking. Moreover, it correlates with the proliferation rate, and thus behavior, of gliomas. We assessed the expression of Cx43 and its relationship to Ki67 in other common central nervous system tumors. The expression of Cx43 and Ki67 were assessed in formalin-fixed paraffin embedded samples of human brain metastases, meningiomas, and neurinomas using immunohistochemistry. Neurinomas and meningiomas were jointly evaluated due to similar non-malignant behavior. A total of 14 metastases of different extracerebral carcinomas, 6 meningiomas, and 10 neurinomas were evaluated. Five (36%) metastases and 5 (31%) meningiomas/neurinomas showed minor expression, whereas 6 (43%) metastases and 2 (13%) meningiomas/neurinomas showed no Cx43 expression at all. In 3 (21%) metastases and 9 (56%) meningiomas/neurinomas, moderate or strong expression of Cx43 was identified. The higher expression of Cx43 in meningiomas and neurinomas directly correlated with Ki67, r = 0.53 (P = 0.034). For metastases no significant correlation was found. Mitotic index in meningiomas/neurinomas correlated with Ki67 expression, r = 0.74 (P < 0.001), but did not show statistically significant correlation with Cx43 expression in these tumors. The expression of Cx43 as a marker of cell-to-cell networking exposed a significant correlation with the Ki67-defined proliferation index in case of primary central nervous system neuroectodermal neoplasms. However, it does not seem to play a comparable role in metastases with extracerebral origin.

Maximal Safe Resection in Glioblastoma Surgery: A Systematic Review of Advanced Intraoperative Image-Guided Techniques.

Glioblastoma multiforme (GBM) represents the most common and aggressive central nervous system tumor associated with a poor prognosis. The aim of this study was to depict the role of intraoperative imaging techniques in GBM surgery and how they can ensure the maximal extent of resection (EOR) while preserving the functional outcome. The authors conducted a systematic review following PRISMA guidelines on the PubMed/Medline and Scopus databases. A total of 1747 articles were identified for screening. Studies focusing on GBM-affected patients, and evaluations of EOR and functional outcomes with the aid of advanced image-guided techniques were included. The resulting studies were assessed for methodological quality using the Risk of Bias in Systematic Review tool. Open Science Framework registration DOI 10.17605/OSF.IO/3FDP9. Eighteen studies were eligible for this systematic review. Among the selected studies, eight analyzed Sodium Fluorescein, three analyzed 5-aminolevulinic acid, two evaluated IoMRI imaging, two evaluated IoUS, and three evaluated multiple intraoperative imaging techniques. A total of 1312 patients were assessed. Gross Total Resection was achieved in the 78.6% of the cases. Follow-up time ranged from 1 to 52 months. All studies assessed the functional outcome based on the Karnofsky Performance Status scale, while one used the Neurologic Assessment in Neuro-Oncology score. In 77.7% of the cases, the functional outcome improved or was stable over the pre-operative assessment. Combining multiple intraoperative imaging techniques could provide better results in GBM surgery than a single technique. However, despite good surgical outcomes, patients often present a neurocognitive decline leading to a marked deterioration of the quality of life. Advanced intraoperative image-guided techniques can allow a better understanding of the anatomo-functional relationships between the tumor and the surrounding brain, thus maximizing the EOR while preserving functional outcomes.

Clinical features and outcomes of pediatric intracranial gliomas: results from single center's 226 cases and corroborated with SEER database.

Pediatric gliomas are the most common central nervous system (CNS) tumors in children and adolescents and show different clinical and histopathological characteristics from the adult. The prognostic factors were poorly defined in pediatric intracranial gliomas. We collected pediatric intracranial glioma cases in our institution between February 2011 and June 2022. The patient clinical data, tumor growth characteristics, treatments, and follow-up data were analyzed by Cox regression analysis to identify impact factors on the prognosis of pediatric intracranial glioma patients. To corroborate our data, an independent cohort of pediatric intracranial glioma from the Surveillance, Epidemiology, and End Results Program (SEER) database was analyzed. A total of 181 cases of pediatric low-grade glioma (PLGG) and 45 cases of pediatric high-grade glioma (PHGG) were included. In multivariate Cox regression analysis, tumor size > 59.5mm (p = 0.006) and non-gross total resection (non-GTR; subtotal resection, STR, p = 0.042; biopsy, p = 0.012) were associated with decreased overall survival (OS) in PLGG patients. In PHGG patients, only chemotherapy (p = 0.023) was associated with OS while tumor size was marginally prognostic for OS (p = 0.051). Additional independent analysis of 2734 PLGG and 741 PHGG from the SEER database corroborated that larger tumor size was associated with decreased OS in LGG (p = 0.001) and HGG (p < 0.001) patients, separately. In this study, we found that tumor size was a significant prognostic factor for the OS of PLGG patients in our series. Besides the tumor size, the extent of resection also independently impacted the prognosis of PLGG patients. While in PHGG patients, only chemotherapy was associated with improved OS and tumor size was marginally prognostic.

Comprehensive analysis of the prognosis and immune infiltrates for the BET protein family reveals the significance of BRD4 in glioblastoma multiforme.

Background: Glioblastoma multiforme (GBM) is the most common and invasive primary central nervous system tumor. The prognosis after surgery, radiation and chemotherapy is very poor. Bromodomain (BRD) proteins have been identified in oncogenic rearrangements, and play a key role in the development of multiple cancers. However, the relationship between BET proteins and prognosis of GBM are still worth exploring, and the distinct functions of BET proteins and tumor immunology in GBM have not been fully elucidated. Therefore, it is particularly important to develop effective biomarkers to predict the prognosis of GBM patients. Methods: Metascape, David, Kaplan-Meier Plotter, Oncomine, GEPIA, TCGA, TIMER, and LinkedOmics databases were used to assess the expression and prognosis for BET proteins in GBM. ROC analysis of risk model was established to identify the correlation between BET genes and overall survival in GBM patients. TIMER and GEPIA databases were used to comprehensively investigate the correlation between BET genes and tumor immune infiltration cells. Moreover, the image of immunohistochemistry staining of BET proteins in normal tissue and tumor tissue were retrived from the HPA database. In addition, differential analysis and pathway enrichment analysis of BRD4 gene expression profile were also carried out. Finally, immune-fluorescence and Western blot were used to clarify the expression of BRD4 in GBM cells. Results: Bioinformatics analysis showed that the expression levels of BET genes in GBM may play an important role in oncogenesis. Specifically, bioinformatic and immunohistochemistry analysis showed that BRD4 protein was more highly expressed in tumor tissues than that in normal tissues. The high expression of BRD4 was associated with poor prognosis in GBM. The expression of BET genes were closely related to the immune checkpoint in GBM. The correlation effect of BRD4 was significantly higher than other BET genes, which represented negative correlation with immune checkpoint. The expression of BRD4 was positively associated with tumor purity, and negatively associated with immune infiltration abundance of macrophage, neutrophil and CD8+ T-cell, respectively. Cox analysis showed that the model had good survival prediction and prognosis discrimination ability. In addition, the expression levels of BRD4 protein was significantly higher in U-251MGcells than that in normal cells, which was consistent with the results of bioinformatics data. Conclusion: This study implied that BRD4 could be hopeful prognostic biomarker in GBM. The increased expression of BRD4 may act as a molecular marker to identify GBM patients with high-risk subgroups. BRD4 may be a valuable prognostic biomarker, and a potential target of precision therapy against GBM.

Single-cell RNA sequencing reveals changes in glioma-associated macrophage polarization and cellular states of malignant gliomas with high AQP4 expression

Glioma is the most common primary central nervous system tumor in adults. Aquaporin-4, as a water channel protein encoded by AQP4 in the brain, is reported to alter its aggregation status to affect plasma membrane dynamics and provide the potential for metastasis of tumor cells and components of the tumor microenvironment. We performed single-cell RNA transcriptome sequencing of 53059 cells from 13 malignant glioma samples and spotted that the expression of AQP4 differed between samples. The same result was observed in the TCGA glioma database, showing poor overall survival and poor response to chemotherapy in AQP4 overexpressed populations. Concomitant with the overexpression of AQP4, genes related to the immune system were also over-expressed, such as CD74, HES1, CALD1, and HEBP2, indicating AQP4 may relate to immune factors of tumor progression. We also found that tumor-associated macrophages tended to polarize toward M2 macrophages in the high AQP4 group. In glioblastoma samples, we examined cell status differences and identified that cell status differs according to AQP4 expression levels. Briefly, our study revealed substantial heterogeneity within malignant gliomas with different AQP4 expression levels, indicating the intricate connection between tumor cells and the tumor immune environment.

Combination of Caffeic Acid Phenethyl Ester and Crocin Realign Potential Molecular Markers in U87-MG Glioma Cells

Glial tumors are the most common primary malignant central nervous system tumors. They are hard to treat, not only because of the deregulation in multiple pathways but also because they are not contained in a well-defined mass with clear borders. The use of a single therapeutic agent to target gliomas has yielded unsatisfactory results. A combination of molecules targeting multiple pathways may prove to be a better alternative. The effect of caffeic acid phenethyl ester and crocin on the proliferation and death of U87-MG cells over a concentration range was analyzed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and lactate dehydrogenase assays. A colony formation assay was used to measure the effect of caffeic acid phenethyl ester and crocin on contact inhibition and anchorage independence ability of U87-MG cells. Furthermore, apoptosis in U87-MG cells was analyzed by propidium iodide assay. Real-time polymerase chain reaction and Western blotting were performed to determine the expression level of p53, epidermal growth factor receptor, and proliferating cell nuclear antigen. Caffeic acid phenethyl ester and crocin when used in combination present an anticancer potential for glioma. These molecules, in combination, inhibit proliferation and induce apoptosis in U87-MG glioma cells. Our results provide evidence that combination treatment realigns the expression paradigm of p53, epidermal growth factor receptor, and proliferating cell nuclear antigen in cotreated U87-MG cells. The combination of caffeic acid phenethyl ester and crocin led to inhibition in glioma cell proliferation and might prove to be an effective adjunct to the therapies in vogue.

Genomic markers of recurrence risk in atypical meningioma following gross total resection.

Meningiomas are the most common primary central nervous system (CNS) tumor in adults and CNS World Health Organization grade 2 (atypical) meningiomas show an intermediate risk of recurrence/progression. Molecular parameters are needed to better inform management following gross total resection (GTR). We performed comprehensive genomic analysis of tumor tissue from 63 patients who underwent radiologically confirmed GTR of a primary grade 2 meningioma, including a CLIA-certified target next-generation sequencing panel (n = 61), chromosomal microarray (n = 63), genome-wide methylation profiling (n = 62), H3K27me3 immunohistochemistry (n = 62), and RNA-sequencing (n = 19). Genomic features were correlated with long-term clinical outcomes (median follow-up: 10 years) using Cox proportional hazards regression modeling and published molecular prognostic signatures were evaluated. The presence of specific copy number variants (CNVs), including -1p, -10q, -7p, and -4p, was the strongest predictor of decreased recurrence-free survival (RFS) within our cohort (P < .05). NF2 mutations were frequent (51%) but did not show a significant association with RFS. DNA methylation-based classification assigned tumors to DKFZ Heidelberg benign (52%) or intermediate (47%) meningioma subclasses and was not associated with RFS. H3K27 trimethylation (H3K27me3) was unequivocally lost in 4 tumors, insufficient for RFS analysis. Application of published integrated histologic/molecular grading systems did not improve prediction of recurrence risk over the presence of -1p or -10q alone. CNVs are strong predictors of RFS in grade 2 meningiomas following GTR. Our study supports incorporation of CNV profiling into clinical evaluation to better guide postoperative patient management, which can be readily implemented using existing, clinically validated technologies.

Systemic therapy use for the treatment of meningioma: A systematic review

Purpose: Meningiomas are the most common primary central nervous system tumor. Many studies have investigated systemic therapy agents for treating meningiomas, but no study has systematically evaluated these agents in a comparative or comprehensive manner. Our goal was to investigate the recent systemic therapy agents used to treat meningioma and to compare outcomes such as progression-free survival and overall survival. Methods: A systematic literature review was performed to investigate systemic therapy agents that are being used to treat meningioma tumors. The PubMed database was used for this review and articles published from 7/4/2011 to 7/4/2021 were evaluated. The exclusion criteria were animal and cell line studies, case reports, review articles, articles in a foreign language, and articles not related to meningioma or to systemic therapy agents. Results: 163 articles were initially evaluated. After excluding 152 articles that did not fit the inclusion criteria, 11 articles exploring 14 different systemic therapy agents were included and compared, focusing on the outcomes of progression[1]free survival and overall survival. According to our findings, Bevacizumab has the most promising results as it is associated with reducing peri-tumoral edema and has the highest progression-free survival at six months of 86%. Conclusion: This article evaluated systemic therapy agents used to treat meningioma tumors. Bevacizumab has the most promising results overall. However, further studies are needed to evaluate its efficacy and possible side effects among a larger population of patients with different grades, locations, and responses of the meningioma tumors to Bevacizumab.

Epigenetically regulated lncRNAs dissect the intratumoural heterogeneity and facilitate immune evasion of glioblastomas.

Background: Glioblastomas are the most common and malignant central nervous system (CNS) tumors that occupied a highly heterogeneous tumor microenvironment (TIME). Long noncoding RNAs (lncRNAs), whose expression can be modified by DNA methylation, are emerging as critical regulators in the immune system. However, knowledge about the epigenetic changes in lncRNAs and their contribution to the immune heterogeneity of glioma is still lacking. Methods: In this study, we integrated paired methylome and transcriptome datasets of glioblastomas and identified 2 robust immune subtypes based on lncRNA methylation features. The immune characteristics of glioma subtypes were compared. Furthermore, immune-related lncRNAs were identified and their relationships with immune evasion were evaluated. Results: Glioma immunophenotypes exhibited distinct immune-related characteristics as well as clinical and epigenetic features. 149 epigenetically regulated (ER) lncRNAs were recognized that possessed inverse variation in epigenetic and transcriptional levels between glioma subtypes. Immune-related lncRNAs were further identified through the investigation of their correlation with immune cell infiltrations and immune-related pathways. In particular, the 'Hot' glioma subtype with higher immunoactivity while a worse survival outcome was found to character immune evasion features. We finally prioritized candidate ER lncRNAs associated with immune evasion markers and response to glioma immunotherapy. Among them, CD109-AS1 and LINC02447 were validated as novel immunoevasive biomarkers for glioma through in vitro experiments. Conclusion: In summary, our study systematically reveals the crosstalk among DNA methylation, lncRNA, and immune regulation in glioblastomas, and will facilitate the development of epigenetic immunotherapy approaches.

Preoperative surgical risk assessment of meningiomas: a narrative review based on MRI radiomics.

Meningiomas are one of the most common intracranial primary central nervous system tumors. Regardless of the pathological grading and histological subtypes, maximum safe resection is the recommended treatment option for meningiomas. However, considering tumor heterogeneity, surgical treatment options and prognosis often vary greatly among meningiomas. Therefore, an accurate preoperative surgical risk assessment of meningiomas is of great clinical importance as it helps develop surgical treatment strategies and improve patient prognosis. In recent years, an increasing number of studies have proved that magnetic resonance imaging (MRI) radiomics has wide application values in the diagnostic, identification, and prognostic evaluations of brain tumors. The vital importance of MRI radiomics in the surgical risk assessment of meningiomas must be apprehended and emphasized in clinical practice. This narrative review summarizes the current research status of MRI radiomics in the preoperative surgical risk assessment of meningiomas, focusing on the applications of MRI radiomics in preoperative pathological grading, assessment of surrounding tissue invasion, and evaluation of tumor consistency. We further analyze the prospects of MRI radiomics in the preoperative assessment of meningiomas angiogenesis and adhesion with surrounding tissues, while pointing out the current challenges of MRI radiomics research.

Integrated response analysis of pediatric low-grade gliomas during and after targeted therapy treatment.

Pediatric low-grade gliomas (pLGGs) are the most common central nervous system tumor in children, characterized by RAS/MAPK pathway driver alterations. Genomic advances have facilitated the use of molecular targeted therapies, however, their long-term impact on tumor behavior remains critically unanswered. We performed an IRB-approved, retrospective chart and imaging review of pLGGs treated with off-label targeted therapy at Dana-Farber/Boston Children's from 2010 to 2020. Response analysis was performed for BRAFV600E and BRAF fusion/duplication-driven pLGG subsets. Fifty-five patients were identified (dabrafenib n = 15, everolimus n = 26, trametinib n = 11, and vemurafenib n = 3). Median duration of targeted therapy was 9.48 months (0.12-58.44). The 1-year, 3-year, and 5-year EFS from targeted therapy initiation were 62.1%, 38.2%, and 31.8%, respectively. Mean volumetric change for BRAFV600E mutated pLGG on BRAF inhibitors was -54.11%; median time to best volumetric response was 8.28 months with 9 of 12 (75%) objective RAPNO responses. Median time to largest volume post-treatment was 2.86 months (+13.49%); mean volume by the last follow-up was -14.02%. Mean volumetric change for BRAF fusion/duplication pLGG on trametinib was +7.34%; median time to best volumetric response was 6.71 months with 3 of 7 (43%) objective RAPNO responses. Median time to largest volume post-treatment was 2.38 months (+71.86%); mean volume by the last follow-up was +39.41%. Our integrated analysis suggests variability in response by pLGG molecular subgroup and targeted therapy, as well as the transience of some tumor growth following targeted therapy cessation.

High expression of GSKIP is associated with poor prognosis in meningioma

Meningiomas are the most common extra-axial primary central nervous system tumors. There is no effective treatment or targeted therapy for meningioma except excision and radiotherapy. glycogen synthesis kinase 3β interaction protein (GSKIP) is an A-kinase anchor protein that has cytosolic scaffolding function and binds to a protein kinase A and glycogen synthesis kinase 3β to modulate different biological processes and malignant tumorigenesis through the Wnt pathway. The purpose of this study was to investigate the relationship between GSKIP expression and the clinico-pathological parameters in meningioma using immunohistochemical staining. We collected samples from 74 patients, from 2008 to 2012, in the Kaohsiung Medical University Hospital that had data on the staging and prognosis of the meningioma pathological section. Chi-square, Kaplan-Meier method, and cox regression were used to analyze the correlation between clinical parameters and immunohistochemistry staining for GSKIP. Following our immunohistochemical score, we found that higher expression of GSKIP was associated with high World Health Organization grading, recurrence, malignant transformation, and reduced overall survival time and recurrence-free survival time in meningioma. GSKIP may be a biomarker of poor prognosis and a target protein for therapy in meningioma.

Current studies and future directions for medulloblastoma: A review from the pacific pediatric neuro-oncology consortium (PNOC) disease working group

Medulloblastoma (MB) is the most common malignant central nervous system tumor of childhood, comprising a heterogenous group of tumors each with distinct biology, clinical behavior, and prognosis. Long-term survival remains unacceptable, and those who do survive face high late mortality risk, new chronic treatment-related medical conditions, neurocognitive impairments, and poor health-related quality of life. Up-front treatment strategies now integrate molecular subgrouping with standard clinico-radiological factors to more actually risk stratify newly-diagnosed patients. To what extent this new stratification will lead to improvements in treatment outcome will be determined in the coming years. In parallel, discovery and appreciation for medulloblastoma's inter- and intra-tumoral heterogeneity continues growing. Clinical trials treating relapsed disease now encompass precision medicine, epigenetic modification, and immune therapy approaches. The Pacific Pediatric Neuro-Oncology (PNOC) Medulloblastoma Working Group is committed to developing clinical trials based on these evolving therapeutic strategies and supports translational efforts by PNOC researchers and the multi-stakeholder medulloblastoma community at large.

Clinical Management of Supratentorial Non-Skull Base Meningiomas

Supratentorial non-skull base meningiomas are the most common primary central nervous system tumor subtype. An understanding of their pathophysiology, imaging characteristics, and clinical management options will prove of substantial value to the multi-disciplinary team which may be involved in their care. Extensive review of the broad literature on the topic is conducted. Narrowing the scope to meningiomas located in the supratentorial non-skull base anatomic location highlights nuances specific to this tumor subtype. Advances in our understanding of the natural history of the disease and how findings from both molecular pathology and neuroimaging have impacted our understanding are discussed. Clinical management and the rationale underlying specific approaches including observation, surgery, radiation, and investigational systemic therapies is covered in detail. Future directions for probable advances in the near and intermediate term are reviewed.

RGS16 regulated by let-7c-5p promotes glioma progression by activating PI3K-AKT pathway.

Gliomas are the most common central nervous system tumours; they are highly aggressive and have a poor prognosis. RGS16 belongs to the regulator of G-protein signalling (RGS) protein family, which plays an important role in promoting various cancers, such as breast cancer, pancreatic cancer, and colorectal cancer. Moreover, previous studies confirmed that let-7c-5p, a well-known microRNA, can act as a tumour suppressor to regulate the progression of various tumours by inhibiting the expression of its target genes. However, whether RGS16 can promote the progression of glioma and whether it is regulated by miR let-7c-5p are still unknown. Here, we confirmed that RGS16 is upregulated in glioma tissues and that high expression of RGS16 is associated with poor survival. Ectopic deletion of RGS16 significantly suppressed glioma cell proliferation and migration both in vitro and in vivo. Moreover, RGS16 was validated as a direct target gene of miR let-7c-5p. The overexpression of miR let-7c-5p obviously downregulated the expression of RGS16, and knocking down miR let-7c-5p had the opposite effect. Thus, we suggest that the suppression of RGS16 by miR let-7c-5p can promote glioma progression and may serve as a potential prognostic biomarker and therapeutic target in glioma.

EPCO-48. STEMNESS SIGNATURE STRATIFIES GLIOMAS WITH CLINICAL IMPORTANCE AND REVEALS A PROLIFERATIVE PHENOTYPE IN SINGLE CELL DATA

Abstract Gliomas are the most common central nervous system neoplasm and despite the past significant progress, its diagnostics faces suboptimal classification which impacts patient management. The stem cell-like phenotype of various cancers is correlated with the worst overall prognosis. We propose a Stemness prediction model based on gene expression signatures of neural progenitors that can be used to measure the dedifferentiation state (or Stemness) of glioma samples. To built the model, publicly available single-cell RNA sequencing data was used to identify gene expression from the fetal astrocyte (AST) population. Subpopulations of interest were identified through the expression of marker genes. We applied a one-class logistic regression to built the prediction model using the AST population. The model was applied to glioma bulk transcriptomic data to generate an fetal astrocyte stemness index (ASTsi). The ASTsi was able to stratify gliomas based on grade, histology, and molecular subtypes. Grade 4, glioblastoma, IDHwt, and the mitochondrial and proliferative functional subtypes had the highest stemness. When applied to longitudinal samples we observed an increase of ASTsi in IDHmut recurrent and a decrease in IDHwt recurrent tumors, compared to primary samples. Additionally, we applied the model to single-cell RNAseq of adult IDHwt glioblastomas and found clusters of high-stemness cells (ASTsi &amp;gt; 0.8). A differential gene expression combined with pathway analysis between high- and low-stemness cells revealed cell cycle, DNA repair mechanisms and histone modifications upregulated in the high-stemness population. The balance between histone methylation and demethylation may be directly related to the phenotype of these cells. More in-depth analysis of these genes and pathways are being carried out and may provide important information about the oncogenesis and phenotypic characterization of glioma stemness. Our stemness prediction model stratified glioma samples by pathological and molecular features and revealed tumor subpopulations with distinct stemness degree in gliomas IDHwt.

NCMP-11. METASTATIC MENINGIOMA: AN UNUSUAL COURSE OF A COMMON DISEASE

Abstract BACKGROUND The most common central nervous system (CNS) tumor in adult patients is meningioma, accounting for 30% of all intracranial tumors. Despite this, extracranial meningioma metastases are exceedingly rare, accounting for 0.1% of cases, with common locations for metastases localized to the lungs, liver, lymph nodes, and bone. RESULTS We present a 55-year-old female with a past medical history of tobacco use, hypertension and depression, who initially presented due to a generalized tonic-clonic seizure. MRI brain revealed an intracranial lesion in the left occipital lobe with mass effect, requiring craniotomy and resection. Pathology was consistent with WHO grade I meningioma and post-operatively a small area of residual tumor remained. PET/CT found a left lung nodule, which was thought to be due to her smoking history and was followed with annual scans. Four years later, she had an increase in the size of the meningioma on surveillance MRI scans. The patient then required repeat craniotomy which redemonstrated pathology of WHO grade I meningioma, then treated with stereotactic radiation 14 Gy. The subsequent annual surveillance pulmonary scan showed a growth of left pulmonary nodule. She underwent a left lingual wedge resection and was found to have low grade spindle cell tumor, consistent with metastatic meningioma. CONCLUSION Although rare, metastatic meningioma should be included in the differential diagnosis of patients with concomitant extracranial lesions. Our case highlights the importance of annual, surveillance scans of extracranial lesions in meningioma patients.

DDEL-14. SYSTEMIC THERAPY USE FOR THE TREATMENT OF MENINGIOMA: A SYSTEMATIC REVIEW

Abstract INTRODUCTION Meningiomas are the most common primary central nervous system tumor. Many studies have investigated systemic therapy agents for treating meningiomas, but no study has systematically evaluated the various agents used while comparing outcomes. The goal of this study was to investigate the recent systemic therapy agents used to treat meningioma tumors and to compare relevant clinical outcomes such as progression-free survival and overall survival in patients with meningioma tumors receiving systemic therapy agents as part of their care.Materials and METHODS A systematic literature review was performed to investigate systemic therapy agents used to treat meningioma tumors. The PubMed database was used for this review and articles published from 7/4/2011 to 7/4/2021 were evaluated. The exclusion criteria included the following: animal and cell line studies, case reports, review articles, articles in a foreign language (other than English), as well as articles not related to meningioma or to systemic therapy agents. RESULTS 163 articles were initially evaluated. After excluding 152 articles using the exclusion criteria for our study, a total of 11 articles exploring 14 different systemic therapy agents were ultimately included and compared, mainly focusing on the two clinical outcomes of progression-free survival and overall survival. The study findings suggest that Bevacizumab may have the most promising results for reducing peri-tumoral edema and extending progression-free survival, with the highest observed progression-free survival at six months of 86% compared to lower progression-free survival for other systemic therapy agents. CONCLUSION This systematic review study evaluated systemic therapy agents used to treat meningioma tumors. Bevacizumab was found to have the most promising results overall. However, further studies are now needed to evaluate the efficacy and possible side effects of Bevacizumab amongst a larger population of patients with different meningioma tumor grades, locations, and treatment responses.