Incidence, mortality and outcome of meningiomas: A population-based study from Germany

The 5-factor modified frailty index as a prognostic factor for stereotactic radiosurgery in meningioma management

PURPOSE

Meningiomas are the most frequent primary intracranial malignancy. While surgical resection can confer long term tumor control, stereotactic radiosurgery (SRS) is often used for small, asymptomatic tumors in the adjuvant setting. Frailty has been associated with increased rates of peri-operative morbidity but has yet to be defined in the setting of SRS for meningiomas. We therefore sought to examine the relationship between frailty and clinical/radiographic outcomes of patients with meningiomas who have undergone SRS.

METHODS

A single-center, retrospective cohort study classified patients by their 5-factor modified frailty index (mFI-5) score into pre-frail (0-1) and frail (2-5) at the time of SRS treatment. Evaluations of overall survival (OS), progression free survival (PFS), local control (LC), and distant control (DC) were performed using Kaplan-Meier analysis. Cox proportional hazards regression analysis was used to further define factors associated with OS/PFS.

RESULTS

94 patients met inclusion criteria and underwent SRS for meningioma treatment from 2019 to 2023. Analyses compared prefrail (0-1) and frail (2-5) individuals. Kaplan-Meier analysis demonstrated a near significant association between frailty and OS (HR 3.66, 95% CI 0.49-26.8 p = 0.05) with 3-year OS rates of 75.4% in the pre-frail versus 36.6% in the frail group. However, a significant relationship was demonstrated between frailty and PFS (HR: 2.95 95% CI 1.12-7.81, p = 0.02) with 3-year PFS rates of 90.5% in the pre-frail group versus 49.2% in the frail group. Univariable regression analysis demonstrated that frailty, prior surgical excision, and cumulative tumor volume predicted PFS.

CONCLUSION

Frailty, as assessed by the mFI-5, did not independently predict OS but did predict PFS in individuals with meningioma undergoing SRS.

AlkaPhos: a novel fluorescent probe as a potential point-of-care diagnostic tool to estimate recurrence risk of meningiomas

Deletion of the short arm of chromosome 1 (1p) increases recurrence rates in meningiomas by up to 33%, regardless of tumor grade, correlating with absence of intracellular alkaline phosphatase enzyme activity. Current screening methods for 1p deletion like fluorescence in situ hybridization (FISH) and loss of heterozygosity (LOH) analysis are resource-intensive. This study evaluated AlkaPhos, a novel fluorescent probe, for detecting alkaline phosphatase in meningioma cells and compared findings with FISH, LOH, and histochemical analysis. AlkaPhos sensitivity in detecting alkaline phosphatase on BEN-MEN-1 cells and primary meningioma cultures was assessed via microscopic fluorescent ratio measurements. FISH and LOH were conducted on the same tumors to detect 1p deletions. Histochemical analysis served as a reference. AlkaPhos results were compared with FISH, LOH, and histochemical analysis. AlkaPhos effectively indicated alkaline phosphatase activity in BEN-MEN-1 cells and correctly identified 1p deletion in 8/14 primary meningioma cultures, matching FISH and LOH findings, respectively. AlkaPhos showed potential superiority over histochemical analysis in identifying tumors with 1p deletion and LOH of 1p. AlkaPhos bears potential as a future diagnostic tool for identifying alkaline phosphatase absence in meningiomas, indicative of 1p deletion. Further evaluation on a larger sample size is necessary for routine clinical application.

NF2 can mediate the expression of CAMK2A in a tissue specific manner

Meningioma is the most prevalent primary intracranial tumor, with approximately half of patients harboring NF2 alteration. The rationale behind the presence of NF2 alteration in meningiomas and its absence in non-nerve system tumors remains elusive. Therefore, meningiomas and several non-nerve system tumor types were analyzed using KEGG analysis and CRISPR/Cas 9 technology to determine the role of NF2 in regulating tissue specificity. Moreover, the different regulatory patterns of Ca2+ and calcium/calmodulin-dependent protein kinase II alpha (CAMK2A) that play a decisive role in NF2 tissue-specific regulation were deciphered. Our results revealed that NF2 has a positive correlation in CAMK2A expression in both meningiomas and normal nervous system tissues but not in non-nervous system tumors and tissues, implying NF2 tissue-specificity is mediated by CAMK2A-related pathways. Thus, targeting CAMK2A may represent a promising strategy for drug screening and the development of therapeutics for NF2-associated meningiomas and other nervous system tumors.

Management of intracranial meningioma: Outcome analysis and clinico radiological profile of 172 patients

Background

Meningioma is the most common primary intracranial tumor. This single-center study aimed to analyze the clinicopathological, radiological profile, and outcomes of patients with intracranial meningiomas in terms of functional status, morbidity, mortality, and recurrence-free survival (RFS).

Methods

Patients of intracranial meningioma treated between January 01, 2010, and December 31, 2019, at the Department of Neurosurgery, King George's Medical University, India, were included in this study. Retrospective data analysis of 172 patients with intracranial meningioma was done.

Results

The majority of the patients, that is, 94 (54.65%), presented in the 4th and 5th decade. The mean size of the meningioma was 36.4 ± 4 mm (range: 26-68 mm). Of the 172 patients, 128 (74.41%) were diagnosed as non-skull base meningiomas, and in 44 patients (25.59%), meningioma originated from the skull base. Recurrence was observed on follow-up imaging in 11 patients after a mean postoperative interval of 55.2 ± 5.8 months. Radiological meningioma recurrence paralleled with clinical deterioration in seven patients. Three of these patients were subjected to the second surgery, followed by radiotherapy, and in the remaining four patients, Gamma knife or fractionated radiotherapy was given.

Conclusion

The majority of patients had good functional outcomes (KPS >70) at discharge. Morbidity and mortality was 18.60% and 3.49%, respectively. Meningioma size ≥4 cm, age >45 years, World Health Organization Grade (II, III), non-skull base location, and Simpson grade III, IV of resection showed significantly shorter RFS.

Radioligand therapies in meningioma: Evidence and future directions

Meningiomas are the most common intracranial neoplasms in adults. While most meningiomas are cured by resection, further treatment by radiotherapy may be needed, particularly in WHO grades 2 and 3 tumors which have an increased risk of recurrence, even after conventional therapies. Still, there is an urgent need for novel therapeutic strategies after the exhaustion of local treatment approaches. Radionuclide therapies combine the specificity of tumor-specific antibodies or ligands with the cytotoxic activity of radioactive emitters. Alongside this, integrated molecular imaging allows for a noninvasive assessment of predictive biomarkers as treatment targets. Whereas the concept of "theranostics" has initially evolved in extracranial tumors such as thyroid diseases, neuroendocrine tumors, and prostate cancer, data from retrospective case series and early phase trials underscore the potential of this strategy in meningioma. This review aims to explore the available evidence of radionuclide treatments and ongoing clinical trial initiatives in meningioma. Moreover, we discuss optimal clinical trial design and future perspectives in the field, including compound- and host-specific determinants of the efficacy of "theranostic" treatment approaches.

Relative survival after meningioma surgery. A French nationwide population-based cohort study

BACKGROUND

Survival after meningioma surgery is often reported with inadequate allowance for competing causes of death.

METHODS

We processed the Système National des Données de Santé, the French administrative medical database to retrieve appropriate patients' case of surgically treated meningiomas. The Pohar Perme relative survival (RS) method was implement.

RESULTS

A total of 28,778 patients were identified between 2007 and 2017 of which 75% were female. Median age at surgery 59 years. Cranial convexity was the most common (24.7%) location and, benign meningioma represented 91.5% of all meningioma. Median follow-up was 3.5 years interquartile range [3.4-3.5]. At data collection, 2,232 patients were dead. The five-year survival relative to the expected survival of an age- and gender-matched French standard population was 96.2% 95% confidence interval (CI)[95.7-96.8]. Meningioma absolute excess risk of death was 973/100,000 person-years 95%CI[887-1068] (p< .001). The related standardised mortality ratio was 1.8 95%CI[1.7-1.9] (p< .001). In the adjusted model, male gender (hazard ratio [HR] =1.39, 95%CI[1.27-1.54], p< .001), age at surgery (HR=0.97, 95%CI[0.97-0.97], p < .001), type 2 neurofibromatosis (HR=2.95, 95%CI[1.95-4.46], p < .001), comorbidities HR=1.39, 95%CI[1.36-1.42], p < .001), location (HR=0.8, 95%CI[0.67-0.95], p= .0111), pre-operative embolization, (HR=1.3, 95%CI[1.08-1.56], p= .00507), cerebro-spinal fluid shunt, (HR=2.48, 95%CI[2.04-3.01], p < .001), atypical (HR=1.3, 95%CI [1.09-1.54], p= .00307) or malignant histology (HR=1.86, 95%CI[1.56-2.22], p< .001), redo surgery (HR=1.19, 95%CI[1.04-1.36], p= .0122) and radiotherapy (HR=1.43, 95%CI[1.26-1.62], p < .001) were established as independent predictors of RS.

CONCLUSION

This unique study highlights the excess mortality associated with meningioma disease. Many factors such as gender, age, location, histopathological grading, redo surgery influence the RS.

SNAP25 as a prognostic marker in transcriptome analysis of meningioma

BACKGROUND

Meningiomas are the most common intracranial tumors and their diagnosis relies mostly on neuroimaging and histology. However, the histology grades cannot predict the outcome exactly and some meningiomas tend to recur after resection of even benign tumors. Therefore, it is necessary to explore prognostic and diagnostic molecular targets.

METHODS

Differential expression analysis between meningiomas and meninges was performed based on the merged data of GSE43290 and GSE84263. Next, we performed gene set enrichment analysis (GSEA), immune cell infiltration analysis, protein-protein interaction analysis, and survival analysis using public data. The expression level of Synaptosome-associated-protein-25kDa (SNAP25) was verified by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) and Western blotting in meningioma tissues.

RESULTS

There were 263 upregulated and 592 downregulated genes identified in meningiomas by differential expression analysis. GSEA results revealed that meningiomas were negatively related to the pathway of soluble N-ethylmaleimide sensitive factor attachment protein receptor interactions in vascular transport and chemokine signaling. SNAP25 was characterized as a hub gene and downregulated in meningiomas. The Kaplan-Meier plot indicated that high expression of SNAP25 is a favorable factor.

CONCLUSION

SNAP25 was downregulated and identified as a potential prognostic marker in meningioma.

MicroRNA Analysis in Meningiomas with Different Degrees of Tissue Stiffness: A Potential Tool for Effective Preoperative Planning

BACKGROUND AND OBJECTIVES

Meningioma, the most common primary intracranial tumor, presents challenges in surgical treatment because of varying tissue stiffness. This study explores the molecular background of meningioma stiffness, a critical factor in surgical planning and prognosis, focusing on the utility of microRNAs (miRNAs) as diagnostic biomarkers of tissue stiffness.

METHODS

Patients with meningiomas treated surgically at the University Hospital Brno were included in this study. Total RNA, isolated from tumor tissue samples, underwent quality control and small RNA sequencing to analyze miRNA expression. Differentially expressed miRNAs were identified, and their association with tumor stiffness was assessed.

RESULTS

This study identified specific miRNAs differentially expressed in meningiomas with different stiffness levels. Key miRNAs, such as miR-31-5p and miR-34b-5p, showed significant upregulation in stiffer meningiomas. These findings were validated using reverse transcription-quantitative polymerase chain reaction, revealing a potential link between miRNA expression and tumor consistency. The expression of miR-31-5p was most notably associated with the stiffness of the tumor tissue (sensitivity = 71% and specificity = 83%).

CONCLUSION

This research highlights the potential of miRNAs as biomarkers for determining meningioma tissue stiffness. Identifying specific miRNAs associated with tumor consistency could improve preoperative planning and patient prognosis. These findings pave the way for further exploration of miRNAs in the clinical assessment of meningiomas.

Effect of Different Glucose Levels and Glycation on Meningioma Cell Migration and Invasion

Meningiomas are predominantly benign tumors, but there are also malignant forms that are associated with a poor prognosis. Like almost all tumors, meningiomas metabolize glucose as part of aerobic glycolysis (Warburg effect) for energy supply, so there are attempts to influence the prognosis of tumor diseases using a glucose-reduced diet. This altered metabolism leads to so called hallmarks of cancer, such as glycation and glycosylation. In this study, we investigated the influence of low (3 mM), normal (5.5 mM) and high glucose (15 mM) on a malignant meningioma cell line (IOMM-Lee, WHO grade 3). In addition, the influence of methylglyoxal, a by-product of glycolysis and a precursor for glycation, was investigated. Impedance-based methods (ECIS and RTCA) were used to study migration and invasion, and immunoblotting was used to analyze the expression of proteins relevant to these processes, such as focal adhesion kinase (FAK), merlin or integrin ß1. We were able to show that low glucose reduced the invasive potential of the cells, which was associated with a reduced amount of sialic acid. Under high glucose, barrier function was impaired and adhesion decreased, which correlated with a decreased expression of FAK.

Total removal of anaplastic meningioma infiltrating an artery by performing an A3-A3 side-to-side anastomosis

Background

Meningiomas are histologically benign tumors and generally have a good prognosis. However, some are classified as high-grade meningiomas due to their strong invasion of surrounding tissues and high postoperative recurrence rates, resulting in a poor prognosis. Postoperative radiotherapy is often administered for the most malignant anaplastic meningiomas; however, its contribution to improving prognosis and reducing recurrence rates in patients with residual tumors is limited.

Case Description

We present here a 48-year-old man with an anaplastic meningioma that recurred repeatedly and had invaded the right anterior cerebral artery (ACA) despite two postoperative radiotherapy sessions. Dissecting the tumor from the blood vessels was extremely difficult and would only have achieved a partial resection. However, we achieved complete resection by performing a pericallosal artery-pericallosal artery (A3-A3) side-to-side anastomosis and excising the infiltrated blood vessels along with the tumor en bloc. No neurological deficits or complications, such as cerebral infarction, were detected postoperatively.

Conclusion

Although reports of performing an A3-A3 side-to-side anastomosis to enable complete resection of tumors invading the ACA are extremely rare worldwide, this procedure should be recognized as a safe and effective treatment option when complete tumor resection is strongly desired, as in the present patient.

Histone Acetyl Transferase 1 Is Overexpressed in Poor Prognosis, High-grade Meningeal and Glial Brain Cancers: Immunohistochemical and Aptahistochemical Study

Primary malignancies of the central nervous system account for 2% of all cancers in adults and almost 15% in children under 15 years of age. The prognosis of brain anaplastic cancers and glioblastomas remains extremely poor, with devastating survival expectative, and new molecular markers and therapeutic targets are essential. Epigenetic changes constitute an extensive field for the development of new diagnostic and therapeutic strategies. Histone acetyl transferase-1 (HAT1) has merged as a potential prognostic marker and therapy target for different malignancies. Data repository analysis showed HAT1 mRNA overexpression in gliomas and has been described its alternative splicing in glioblastomas. Using immunohistochemical and aptahistochemical methods, we analyzed the expression of HAT1 in meningiomas, oligodendrogliomas, and astroglial cancers. We observed that HAT1 overexpression is associated with the most aggressive tumor types and the worse prognosis, as well as with a higher probability of early relapse in meningiomas. Its cytosolic localization correlates with tumor progression and prognosis. Aptamers, synthetic oligonucleotides capable to bind and inhibit a wide variety of targets, are considered as promising diagnostic and therapeutic tools. Aptahistochemistry using the aptamer apHAT610 offered superior results in comparison with the antibody used, as a good example of the potential of aptamers as diagnostic tools for histopathology.

A systematic review of extraneural meningioma metastasis: timing, evolution and outlook

PURPOSE

Extraneural meningioma metastasis is a rare occurrence and may pose a clinical challenge due to its unclear prognosis. In this systematic review, we analyze patient demographics, clinical characteristics, management strategies, and outcomes.

METHODS

PubMed, EMBASE, Scopus, Cochrane, and Web of Science databases were searched from inception to February 23, 2024 for cases of metastatic meningioma according to PRISMA guidelines. Descriptive statistics, Mann-Whitney U test, Fisher's exact tests, Kaplan-Meier curves, and log-rank tests were used for selected analyses.

RESULTS

A total of 288 patients (52% male) were included with an average age of 49 years at meningioma diagnosis. Tumors were distributed across WHO grade 1 (38%), 2 (36%), and 3 (26%). Most patients experienced intracranial recurrence (79%) and mean time to first metastasis was approximately 8 years. No change in WHO grade between primary and metastasis was observed for most cases (65%). Treatment of the initial metastasis was most often with surgery (43%), chemotherapy (20%), or no treatment (14%). Half of the patients were alive (50%) with an average follow-up of 3 years following metastasis. Overall median survival was 36 months for the entire cohort. This differed significantly between WHO grade 1 versus 2/3 meningioma primaries (168 vs. 15 months, p < 0.005).

CONCLUSION

Metastatic meningioma appears to be associated with more positive prognosis than other brain tumor types with extra-neural metastasis or metastasis in general. This is particularly true for cases arising from a WHO grade 1 meningioma.

Descriptive epidemiology of 30,223 histopathologically confirmed meningiomas in France: 2006-2015

BACKGROUND AND OBJECTIVES

Meningioma is one of the most common neoplasm of the central nervous system. To describe the epidemiology of meningioma operated in France and, to assess grading and histopathological variability among the different neurosurgical centres.

METHODS

We processed the French Brain Tumour Database (FBTDB) to conduct a nationwide population-based study of all histopathologically confirmed meningiomas between 2006 and 2015.

RESULTS

30,223 meningiomas cases were operated on 28,424 patients, in 61 centres. The average number of meningioma operated per year in France was 3,022 (SD ± 122). Meningioma was 3 times more common in women (74.1% vs. 25.9%). The incidence of meningioma increased with age and, mean age at surgery was 58.5 ± 13.9 years. Grade 1, 2, and 3 meningiomas accounted for 83.9%, 13.91% and, 2.19% respectively. There was a significant variability of meningioma grading by institutions, especially for grade 2 which spanned from 5.1% up to 22.4% (p < 0.001). Moreover, the proportion of grade 2 significantly grew over the study period (p < 0.001). There was also a significant variation in grade 1 subtypes diagnosis among the institutions (p < 0.001). 89.05% of the patients had solely one meningioma surgery, 8.52% two and, 2.43% three or more. The number of surgeries was associated to the grade of malignancy (p < 0.001).

CONCLUSION

The incidence of meningioma surgery increased with age and, peaked at 58.5 years. They were predominantly benign with meningothelial subtype being the most common. However, there was a significant variation of grade 1 subtypes diagnosis among the centres involved. The proportion of grade 2 meningioma significantly grew over the study time, on contrary to malignant meningioma proportion, which remained rare and, stable over time around 2%. Likewise, there was a significant variability of grade 2 meningioma rate among the institutions.

Deep learning and radiomics-based approach to meningioma grading: exploring the potential value of peritumoral edema regions

Objective.To address the challenge of meningioma grading, this study aims to investigate the potential value of peritumoral edema (PTE) regions and proposes a unique approach that integrates radiomics and deep learning techniques.Approach.The primary focus is on developing a transfer learning-based meningioma feature extraction model (MFEM) that leverages both vision transformer (ViT) and convolutional neural network (CNN) architectures. Additionally, the study explores the significance of the PTE region in enhancing the grading process.Main results.The proposed method demonstrates excellent grading accuracy and robustness on a dataset of 98 meningioma patients. It achieves an accuracy of 92.86%, precision of 93.44%, sensitivity of 95%, and specificity of 89.47%.Significance.This study provides valuable insights into preoperative meningioma grading by introducing an innovative method that combines radiomics and deep learning techniques. The approach not only enhances accuracy but also reduces observer subjectivity, thereby contributing to improved clinical decision-making processes.

Lethal Complications of Meningiomas: A Case Series

Background

Meningiomas are the most prevalent type of primary intracranial tumor in adults, comprising nearly one-third of all intracranial tumors. They are typically benign, slow-growing, and asymptomatic but may cause neurological symptoms as they expand due to mass effect. Classification is determined by World Health Organization (WHO) grades 1 to 3 following pathological examination corresponding to benign, atypical, and anaplastic (malignant), respectively, reflecting their rate of growth and risk of recurrence. The vast majority are WHO grade 1 and their slow growth permits timely presentation for elective resection; however, meningiomas in vulnerable locations and coexisting morbidities can result in sudden death.

Objectives

We present a series of four adult patients with meningiomas which resulted in death, including a case of fatal seizure, midline hemorrhagic meningioma, postresection meningitis, and compression of the cerebellum.

Research design

Retrospective review of the authors' cases was conducted. Available pathology, medical, and autopsy records including gross images were reviewed in each case. The inclusion criteria were adult patients (>18 years old) and that the cause of death had to include meningioma.

Subjects

The four patients included a 61-year-old male, an 84-year-old female, a 62-year-old male, and a 37-year-old female.

Measures

Qualitative; autopsy reports describing cause of death and pathology report findings including gross and microscopic analysis.

Conclusions

Meningiomas are often benign in nature but can rarely result in death. Size and location of the tumor and risk factors are contributory. Autopsy examination can be instrumental in identifying the cause and mechanism of deaths associated with meningiomas.

The Natural History and Treatment of Meningiomas: An Update

Meningiomas are the most frequent nonmalignant tumors of the central nervous system (CNS). Despite their benign nature and slow-growing pattern, if not diagnosed early, these tumors may reach relatively large sizes causing significant morbidity and mortality. Some variants are located in hard-to-access locations, compressing critical neurovascular structures, and making the surgical management even more challenging. Although most meningiomas have a good long-term prognosis after treatment, there are still controversies over their management in a subset of cases. While surgery is the first-line treatment, the use of fractionated radiotherapy or stereotactic radiosurgery is indicated for residual or recurrent tumors, small lesions, and tumors in challenging locations. Advances in molecular genetics and ongoing clinical trial results have recently helped both to refine the diagnosis and provide hope for effective biomolecular target-based medications for treatment. This article reviews the natural history and current therapeutic options for CNS meningiomas.

Prognostic Factors Affecting Postsurgical Outcomes of Adult Patients with Intracranial Meningioma: A Retrospective Study

OBJECTIVE

To identify the prognostic factors of surgical resection for meningioma and their relationship with patient outcomes.

METHODS

This retrospective study included 53 patients (≥16 years), who underwent surgical resection for intracranial meningioma at the King Abdulaziz University Hospital from 2012 to 2022. Data regarding tumor location and size, histopathological type, chief complaint, chief complaint duration, admission date, diagnosis, operation, and discharge date were collected. These data were subjected to univariate and bivariate analyses to investigate the relationship between the postsurgical outcomes of the patients with meningioma and the variables of age at surgery, sex, length of hospitalization, chief complaint, Glasgow outcome score, World Health Organization histopathological classification, body mass index, tumor size, and nature of surgical resection.

RESULTS

The mean age of our study cohort was 49.09 ± 12.64 years, with a female preponderance (75.5%) and mean body mass index of 29.31 ± 5.52 kg/m2. length of hospitalization (mean: 26.92 ± 54.88 days) demonstrated a significant (P = 0.012) impact on prognosis after surgery. In addition, convexity meningiomas (21.2%), which were observed in the maximum number of cases, and mean tumor volume (28.67 ± 48.85 mm) were significantly (P = 0.049) associated with the outcome. Most patients (78.8%) underwent total surgical resection, and histopathological examinations revealed a higher frequency of grade 1 than grade 2 tumors.

CONCLUSIONS

Short duration of hospitalization and superficial location of the tumor are associated with optimal outcomes after surgical resection for patients with meningioma.

Recurrent Meningothelial Meningioma With Multiple Extensions: A Complex Case Study

This case report presents a comprehensive analysis of a 67-year-old patient diagnosed in 2017 with meningothelial meningioma, focusing on the challenges of managing such tumors and their neurological implications. Meningiomas, being the most common benign intracranial neoplasms, have a notable research gap regarding their association with seizures and motor deficits. This patient, who had a history of depressive disorder, persistent cephalalgia syndrome, and ataxic gait, initially presented with symptoms including ataxic gait, confusion, and headache. Imaging revealed a large, hyperdense right frontal meningioma with a significant mass effect. Following surgical resection, the patient experienced notable neurological improvement. However, in 2023, the patient re-presented with bradypsychia, bradykinesia, and memory disorders, indicating a recurrent meningioma. This case exemplifies the recurrence and complex management of meningiomas, particularly in elderly patients, and highlights the importance of individualized treatment strategies. Surgical resection remains the primary treatment approach, supplemented by radiotherapy in cases of recurrence or incomplete resection. The case underscores the need for advancements in therapeutic approaches to mitigate recurrence risks and enhance patient outcomes in meningioma management. This is especially pertinent given the tumor's predilection for older females and its varied neurological manifestations, such as ataxic gait and seizures.

Cardiovascular events and venous thromboembolism after primary malignant or non-malignant brain tumour diagnosis: a population matched cohort study in Wales (United Kingdom)

BACKGROUND

Elevated standardised mortality ratio of cardiovascular diseases (CVD) in patients with brain tumours may result from differences in the CVD incidences and cardiovascular risk factors. We compared the risk of CVD among patients with a primary malignant or non-malignant brain tumour to a matched general population cohort, accounting for other co-morbidities.

METHODS

Using data from the Secured Anonymised Information Linkage (SAIL) Databank in Wales (United Kingdom), we identified all adults aged ≥ 18 years in the primary care database with first diagnosis of malignant or non-malignant brain tumour identified in the cancer registry in 2000-2014 and a matched cohort (case-to-control ratio 1:5) by age, sex and primary care provider from the general population without any cancer diagnosis. Outcomes included fatal and non-fatal major vascular events (stroke, ischaemic heart disease, aortic and peripheral vascular diseases) and venous thromboembolism (VTE). We used multivariable Cox models adjusted for clinical risk factors to compare risks, stratified by tumour behaviour (malignant or non-malignant) and follow-up period.

RESULTS

There were 2869 and 3931 people diagnosed with malignant or non-malignant brain tumours, respectively, between 2000 and 2014 in Wales. They were matched to 33,785 controls. Within the first year of tumour diagnosis, malignant tumour was associated with a higher risk of VTE (hazard ratio [HR] 21.58, 95% confidence interval 16.12-28.88) and stroke (HR 3.32, 2.44-4.53). After the first year, the risks of VTE (HR 2.20, 1.52-3.18) and stroke (HR 1.45, 1.00-2.10) remained higher than controls. Patients with non-malignant tumours had higher risks of VTE (HR 3.72, 2.73-5.06), stroke (HR 4.06, 3.35-4.93) and aortic and peripheral arterial disease (HR 2.09, 1.26-3.48) within the first year of diagnosis compared with their controls.

CONCLUSIONS

The elevated CVD and VTE risks suggested risk reduction may be a strategy to improve life quality and survival in people with a brain tumour.

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology

Convolutional neural networks (CNNs) are becoming increasingly valuable tools for advanced computational histopathology, promoting precision medicine through exceptional visual decoding abilities. Meningiomas, the most prevalent primary intracranial tumors, necessitate accurate grading and classification for informed clinical decision-making. Recently, DNA methylation-based molecular classification of meningiomas has proven to be more effective in predicting tumor recurrence than traditional histopathological methods. However, DNA methylation profiling is expensive, labor-intensive, and not widely accessible. Consequently, a digital histology-based prediction of DNA methylation classes would be advantageous, complementing molecular classification. In this study, we developed and rigorously assessed an attention-based multiple-instance deep neural network for predicting meningioma methylation classes using tumor methylome data from 142 (+51) patients and corresponding hematoxylin-eosin-stained histological sections. Pairwise analysis of sample cohorts from three meningioma methylation classes demonstrated high accuracy in two combinations. The performance of our approach was validated using an independent set of 51 meningioma patient samples. Importantly, attention map visualization revealed that the algorithm primarily focuses on tumor regions deemed significant by neuropathologists, offering insights into the decision-making process of the CNN. Our findings highlight the capacity of CNNs to effectively harness phenotypic information from histological sections through computerized images for precision medicine. Notably, this study is the first demonstration of predicting clinically relevant DNA methylome information using computer vision applied to standard histopathology. The introduced AI framework holds great potential in supporting, augmenting, and expediting meningioma classification in the future.

Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review

Meningiomas are extra-axial neoplasms that originate from the arachnoid cap cells located on the inner surface of the meninges. Approximately 36% of central nervous system tumors are meningiomas. Based on earlier findings to be benign in most cases, they are categorized as slow-growing tumors that form gradually over time. Meningiomas are usually asymptomatic and discovered inadvertently. They rarely present with immediate clinical symptoms or abrupt hemorrhagic strokes. However, tumor hemorrhage can be fatal in high-grade meningiomas, particularly those with vascularization. We describe a 58-year-old man who was hospitalized after experiencing an unexpectedly acute headache. The right cerebellar hemisphere and vermis cerebellar hemorrhage were detected on computed tomography (CT), and the cerebellar hemorrhage was explained by a diagnosis of hypertension. When additional analysis of the patient's chest CT indicated lung mass lesions, we assumed that the lung cancer had spread to the brain. However, the pathological outcomes of a guided definite pulmonary aspiration biopsy, in conjunction with resection of the cerebellar tumor, suggested a subtentorial meningioma with ruptured hemorrhage and pulmonary meningioma metastasis. The patient was transferred to a hospital closer to home for ongoing follow-up and, after 2 months, he had recovered well.

Combined helical tomotherapy and Gamma Knife stereotactic radiosurgery for high-grade recurrent orbital meningioma: a case report

Orbital meningioma is a rare type of orbital tumor with high invasiveness and recurrence rates, making it extremely challenging to treat. Due to the special location of the disease, surgery often cannot completely remove the tumor, requiring postoperative radiation therapy. Here, we report a case of an elderly male patient with right-sided proptosis, visual impairment, and diplopia. Imaging diagnosis revealed a space-occupying lesion in the extraconal space of the right orbit. Pathological and immunohistochemical examination of the resected tumor confirmed it as a grade 3 anaplastic meningioma. Two months after surgery, the patient complained of right eye swelling and a magnetic resonance imaging (MRI) scan showed a recurrence of the tumor. The patient received helical tomotherapy (TOMO) in the postoperative tumor bed and high-risk areas within the orbit with a total dose of 48Gy. However, there was no significant improvement in the patient's right eye swelling, and the size of the recurrent lesion showed no significant change on imaging. Gamma knife multifractionated stereotactic radiosurgery (MF-SRS) was then given to the recurrent lesion with 50% prescription dose 13.5Gy/3f, once every other day. An imaging diagnosis performed 45 days later showed that the tumor had disappeared completely. The patient's vision remained unchanged, but diplopia was significantly relieved after MF-SRS. We propose a new hybrid treatment model for recurrent orbital meningioma, where conventional radiation therapy ensures local control of high-risk areas around the postoperative cavity, and MF-SRS maximizes the radiation dose to recurrent lesion areas while protecting surrounding tissues and organs.

Applying Shear Wave and Magnetic Resonance Elastography to Grade Brain Tumors: Systematic Review and Meta-Analysis

BACKGROUND

Reports find that magnetic resonance elastography (MRE) and shear wave elastography (SWE) can classify intracranial tumors according to stiffness. However, systematic syntheses of these articles are lacking. In this report, a systematic review and meta-analysis was performed to evaluate whether SWE and MRE can predict meningioma and glioma grades.

METHODS

PubMed and Scopus were searched between February 10, 2022. and March 2, 2022. using manual search criteria. Eight out of 106 non-duplicate records were included, encompassing 84 patients with low-grade tumors (age 42 ± 13 years, 71% female) and 92 patients with high-grade tumors (age 50 ± 13 years, 42% female). Standardized mean difference in stiffness between high-grade and low-grade tumors were measured using a forest plot. The I2, χ2, and t tests were performed, and bubble plots were constructed to measure heterogeneity. An adapted QUADAS-2 scale evaluated study quality. Additionally, a funnel plot was constructed, and an Egger's intercept test determined study bias.

RESULTS

Low-grade tumors were stiffer than high-grade tumors (Cohen's D = -1.25; 95% CI -1.88, -0.62). Moderate heterogeneity was observed (I2 = 67%; P = 0.006) but controlling for publication year (I2 = 0.2%) and age (I2 = 0.0%-17%) reduced heterogeneity. Included studies revealed unclear or high bias for the reference standard and flow and timing (>50%).

CONCLUSIONS

Elastography techniques have potential to grade tumors intraoperatively and postoperatively. More studies are needed to evaluate the clinical utility of these technologies.

Changes in incidence trends of meningioma in Finland, 1990-2017: analysis of Finnish Cancer Registry data

BACKGROUND

Meningiomas are the most common primary neoplasm of the central nervous system. Previous research on the incidence of meningioma in Finland showed an increase in the age-standardized incidence rate over three decades (1968-1997). In this study, we analysed meningioma incidence in Finland during 1990-2017.

MATERIALS AND METHODS

Data on 9842 meningioma patients were obtained from the Finnish Cancer Registry, and population size by calendar year, sex, and age group from Statistics Finland. The European Standard Population was used to calculate age-standardized incidence rates. Poisson regression was used to evaluate differences by sex and age, and joinpoint regression to examine changes in trend.

RESULTS

At the beginning of the study period, the age-standardized incidence of meningioma for men was 2.35/100,000 and for women 6.96/100,000. In the end, it was 4.09/100,000 and 10.19/100,000, respectively. The annual percent change (APC) for women was +4.6 (95% confidence interval, CI 3.10 to 6.20) from 1990 to 2001 and -1.0 (95% CI -1.70 to -0.30) from 2001 to 2017. For men, the APC was +3.1 (95% CI 0.80-5.40) during 1990-2002 and -0.9 (95% CI -2.10 to 0.30) in 2002-2017. The incidence of meningioma in women was 2.8 times higher than in men (rate ratio 2.81; 95% CI 2.68-2.94).

CONCLUSIONS

Meningioma incidence increased in both sexes from 1990, but the trend reversed in 2001-2002. Medical imaging or risk factors do not appear to explain the changes.

Interdisciplinary Therapeutic Approaches to Atypical and Malignant Meningiomas

Meningiomas have the highest incidence among brain tumors. In contrast to benign tumors that constitute the majority of this tumor entity, the treatment of aggressive meningiomas (WHO Grade 2 and 3) is more challenging, requiring gross total removal of the tumor and the affected dura and adjuvant radiotherapy. Sometimes the location and/or the configuration of the tumor do not favor radical surgical resection without endangering the patient's clinical condition after surgery and pharmacological therapy has, until now, not been proven to be a reliable alternative. Discussion: In this narrative review, we discuss the current literature with respect to the management of meningiomas, discussing the importance of the grade of resection in the overall prognosis of the patient and in the planning of adjuvant therapy. Conclusions: According to the location and size of the tumor, radical resection should be taken into consideration. In patients with aggressive meningiomas, adjuvant radiotherapy should be performed after surgery. In cases of skull base meningiomas, a maximal, though safe, resection should take place before adjuvant therapy. An interdisciplinary approach is beneficial for patients with primary or recurrent meningioma.

Beyond the WHO classification of meningioma: using molecular diagnostics to guide management

Meningioma are the most common primary brain tumour. Classically, meningioma are phenotypically grouped using the World Health Organisation (WHO) classification system. However, it is now understood that the WHO approach overfits tumours into three grades, resulting in similarly graded tumours displaying phenotypically distinct behaviour. There is a growing body of research investigating the molecular biology of these tumours, including genomic, transcriptomic, metabolomic, proteomic, and methylomic profiling. Such advancements in molecular profiling of meningioma are providing greater accuracy in prognostication of tumours. Furthermore, a clearer understanding of tumour molecular biology highlights potential targets for pharmacotherapies. Currently, the routine application of in-depth tumour molecular analysis is limited, however as it becomes more widely available it will likely result in improved patient care. This review seeks to explore the important developments in meningioma molecular biology, discussed in the context of their clinical importance.

Epidemiology of Intracranial Meningiomas in Mexico: Cohort of the National Institute of Neurology and Neurosurgery During the Last Decade

Introduction Meningiomas have been described as slow-growing neoplasms with benign behavior derived from the connective tissue surrounding the brain and spinal cord. Meningiomas represent one-third of primary central nervous system (CNS) tumors. The World Health Organization (WHO) initially classified them into three groups based on their histopathological characteristics, recently incorporating molecular patterns. Small cohorts have been reported in Latin America compared to the international literature. Ignoring the epidemiology of meningiomas in this region and considering this limitation, we aim to study the epidemiology of meningiomas in our country, Mexico. Material and methods A historical cohort was carried out on 916 patients diagnosed with intracranial meningiomas from January 2008 to January 2021, considering sociodemographic, topographic, and histopathological characteristics. Results In this study, 69.4% (n=636) of patients were women with a mean overall age of 47.53 (SD=14.85) years; 79.6% (n=729) of the lesions were supratentorial with convexity meningiomas being the most prevalent at 32.6% (n=299). Histopathologically, transitional (45.7%) (n=419), meningothelial (22.1%) (n=202), and fibroblastic (16.7%) (n=153) meningiomas were the most frequent. We found significant differences between men and women in age (p=0.01), infra or supratentorial presentation (p<0.001), location of the lesion (p<0.001), and histopathological characteristics (p<0.001). Conclusions Our results are consistent with what has been reported; however, until now, it appears as the largest series reported in our country and Latin America.

Epidemiology and survival of non-malignant and malignant meningiomas in middle-aged females, 2004-2018

Background

The incidence of meningioma is disparate to sex: meningiomas are more common in women than in men, especially in middle-aged women. Understanding the epidemiology and survival of middle-aged women with meningiomas would help estimate their public health impacts and optimize risk stratification.

Methods

Data on middle-aged (35-54 years) female patients with meningiomas between 2004 and 2018 were obtained from the SEER database. Age-adjusted incidence rates per 100 000 population-years were calculated. Kaplan-Meier and multivariate Cox proportional hazard models were utilized in the overall survival (OS) analysis.

Results

Data from 18302 female patients with meningioma were analyzed. The distribution of patients increased with age. Most patients were White and non-Hispanic, according to race and ethnicity, respectively. Over the past 15 years, non-malignant meningiomas have shown an increasing trend; however, malignant meningiomas have shown an opposite trend. Older age, Black population, and large non-malignant meningiomas tend to have worse prognoses. Surgical resection improves OS, and the extent of resection is a critical prognostic factor.

Conclusions

This study observed an increase in non-malignant meningiomas and a decrease in the incidence of malignant meningiomas in middle-aged females. The prognosis deteriorated with age, in Black people, and with large tumor size. Additionally, the extent of tumor excision was found to be a significant prognostic factor.

Nonviral nanoparticle gene delivery into the CNS for neurological disorders and brain cancer applications

Nonviral nanoparticles have emerged as an attractive alternative to viral vectors for gene therapy applications, utilizing a range of lipid-based, polymeric, and inorganic materials. These materials can either encapsulate or be functionalized to bind nucleic acids and protect them from degradation. To effectively elicit changes to gene expression, the nanoparticle carrier needs to undergo a series of steps intracellularly, from interacting with the cellular membrane to facilitate cellular uptake to endosomal escape and nucleic acid release. Adjusting physiochemical properties of the nanoparticles, such as size, charge, and targeting ligands, can improve cellular uptake and ultimately gene delivery. Applications in the central nervous system (CNS; i.e., neurological diseases, brain cancers) face further extracellular barriers for a gene-carrying nanoparticle to surpass, with the most significant being the blood-brain barrier (BBB). Approaches to overcome these extracellular challenges to deliver nanoparticles into the CNS include systemic, intracerebroventricular, intrathecal, and intranasal administration. This review describes and compares different biomaterials for nonviral nanoparticle-mediated gene therapy to the CNS and explores challenges and recent preclinical and clinical developments in overcoming barriers to nanoparticle-mediated delivery to the brain. This article is categorized under: Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease Therapeutic Approaches and Drug Discovery > Emerging Technologies Nanotechnology Approaches to Biology > Nanoscale Systems in Biology.

Chordoid meningioma: report of 5 cases and review of the literature

Chordoid meningioma is a rare, more aggressive subtype of meningioma. This study documents the histological, radiological and clinical features of seven tumours in five patients among 131 meningioma patients who were treated in the Department of Neurosurgery at Istanbul Medipol University between 2014 and 2019. There were two males and three females. All tumours were supratentorial. Surgical Simpson grade II resection was achieved in two cases, grade I in one and grade IV in two. One case relapsed and underwent further surgeries and adjuvant treatment. The chances of survival without recurrence after the Simpson grade I-II resection are high but close follow-up is recommended particularly if grade I cannot be achieved.

The global prevalence of primary central nervous system tumors: a systematic review and meta-analysis

BACKGROUND

Primary central nervous system (CNS) tumors are a heterogeneous group of neoplasms, including benign and malignant tumors. Since there are many heterogeneities in the prevalence reported in previous studies on this type of tumor, this study was performed to determine the overall prevalence of different primary CNS tumors.

METHOD

The study was conducted as a systematic review and meta-analysis by searching international databases, including PubMed, Scopus, Science Direct, Web of science, and the Google Scholar search engine until August 2020. After transferring the studies to information management software (EndNote) and eliminating duplicate studies, the remaining studies were reviewed based on inclusion and exclusion criteria according to three stages of primary and secondary evaluation and qualitative evaluation. Comprehensive Meta-Analysis software, Begg, Mazumdar, and I² tests were used for data analysis, publication bias analysis, and heterogeneity analysis, respectively.

RESULTS

After performing the systematic review steps, 80 studies were included for final analysis. Based on 8 studies, the prevalence of brain tumors was 70.9%. Also, studies on 7 other studies showed that the prevalence of spinal tumors was 12.2%. A review of 14 studies showed that the prevalence of neuroepithelial tumors was 34.7%. The analysis of 27 studies reported a prevalence of glioma tumors of 42.8%. Analyses performed on other studies showed that the prevalence of pituitary adenomas was 12.2%, embryonal tumors 3.1%, ependymal tumors 3.2%, meningiomas 24.1%, glial tumors 0.8%, astrocytic 20.3%, oligodendroglial 3.9%, glioblastoma 17.7%, schwannoma 6.7%, medulloblastoma 7.7% and Polycystic astrocytomas 3.8%.

CONCLUSION

As a result, it can be stated that brain tumors are the most common type of primary CNS tumors. It was also observed that tumors involving neuroepithelial cells are more common in patients than other types of tumors.

Spinal meningiomas, from biology to management - A literature review

Meningiomas arise from arachnoidal cap cells of the meninges, constituting the most common type of central nervous system tumors, and are considered benign tumors in most cases. Their incidence increases with age, and they mainly affect females, constituting 25-46% of primary spinal tumors. Spinal meningiomas could be detected incidentally or be unraveled by various neurological symptoms (e.g., back pain, sphincter dysfunction, sensorimotor deficits). The gold standard diagnostic modality for spinal meningiomas is Magnetic resonance imaging (MRI) which permits their classification into four categories based on their radiological appearance. According to the World Health Organization (WHO) classification, the majority of spinal meningiomas are grade 1. Nevertheless, they can be of higher grade (grades 2 and 3) with atypical or malignant histology and a more aggressive course. To date, surgery is the best treatment where the big majority of meningiomas can be cured. Advances in surgical techniques (ultrasonic dissection, microsurgery, intraoperative monitoring) increase the complete resection rate. Operated patients have a satisfactory prognosis, even in those with poor preoperative neurological status. Adjuvant therapy has a growing role in treating spinal meningiomas, mainly in the case of subtotal resection and tumor recurrence. The current paper reviews the fundamental epidemiological and clinical aspects of spinal meningiomas, their histological and genetic characteristics, and their management, including the various surgical novelties and techniques.

Pharmacological Landscape of FDA-Approved Anticancer Drugs Reveals Sensitivities to Ixabepilone, Romidepsin, Omacetaxine, and Carfilzomib in Aggressive Meningiomas

PURPOSE

To date, there are no systemic treatment options for patients with recurrent or refractory meningioma.

EXPERIMENTAL DESIGN

To identify effective drugs, we performed a large-scale drug screening using FDA-approved drugs on several meningioma cell lines. The impact of the top four compounds was assessed on cell viability, proliferation, colony formation, migration, and apoptosis. In addition, the antineoplastic effects of the selected drugs were validated in a heterotopic xenograft mouse model.

RESULTS

Analyses of the viability of meningioma cells treated with 119 antineoplastic FDA-approved drugs resulted in categorization into sensitive and resistant drug-response groups based on the mean IC50 values and peak serum concentrations (Cmax) in patients. Eighty drugs, including 15 alkylating agents, 14 antimetabolites, and 13 tyrosine kinase inhibitors, were classified as resistant (IC50 > Cmax). The sensitive drug-response group (n = 29, IC50 < Cmax) included RNA/protein synthesis inhibitors, proteasome inhibitors, topoisomerase, tyrosine-kinase, and partial histone deacetylase and microtubule inhibitors. The IC50 value of the four most effective compounds (carfilzomib, omacetaxine, ixabepilone, and romidepsin) ranged from 0.12 to 9.5 nmol/L. Most of them caused cell-cycle arrest in the G2-M-phase and induced apoptosis. Furthermore, all drugs except romidepsin significantly inhibited tumor growth in vivo. The strongest antineoplastic effect was observed for ixabepilone, which reduced tumor volume by 86%.

CONCLUSIONS

In summary, a large-scale drug screening provides a comprehensive insight into the anti-meningioma activities of FDA-approved drugs, and identified carfilzomib, omacetaxine, ixabepilone, and romidepsin as novel potent antineoplastic agents for the treatment of aggressive meningiomas. The most pronounced effects were observed with ixabepilone mandating for further clinical investigation.

Paradigm Shift in the Treatment of Meningiomas

Meningiomas are the most common brain tumor in adults with rising incidence rates due to an aging population globally, increased availability of neuroimaging, and increased awareness of this condition by treating clinicians and primary care physicians. Surgical resection remains the mainstay of treatment, with adjuvant radiotherapy reserved for higher grade meningiomas or tumors that undergo incomplete resections. Whereas these tumors were classically defined by their histopathological features and subtypes, recent work has uncovered the molecular alterations that may lead to tumor development and have important prognostic implications. However, there remain important clinical questions regarding the management of meningiomas and current clinical guidelines continue to evolve as additional studies add onto the growing body of work that enables us to better understand these tumors.

Emerging systemic treatment options in meningioma

PURPOSE

Meningiomas are the most frequently diagnosed intracranial neoplasms. Usually, they are treated by surgical resection in curative intent. Radiotherapy and stereotactic radiosurgery are commonly applied in the adjuvant setting in newly diagnosed atypical (CNS WHO grade 2), and anaplastic (CNS WHO grade 3) meningioma, especially if gross total resection is not feasible, and in recurrent cases. Conversely, the evidence for pharmacotherapy in meningioma is scarce.

METHODS

The available literature of systemic treatment in meningioma was screened using PubMed, and ongoing clinical trials were explored using ClinicalTrials.gov.

RESULTS

Classical cytotoxic agents, somatostatin analogs, and antihormone treatments have shown only limited efficacy. In contrast, tyrosine kinase inhibitors and monoclonal antibodies, especially those targeting angiogenic signaling such as sunitinib and bevacizumab, have shown promising antitumoral activity in small phase 2 trials. Moreover, results of recent landmark studies on (epi-)genetic alterations in meningioma revealed potential therapeutic targets which are currently under investigation. These include inhibitors of mammalian target of rapamycin (mTOR), focal adhesion kinase (FAK), cyclin-dependent kinases (CDK), phosphoinositide-3-kinase (PI3K), sonic hedgehog signaling, and histone deacetylases. In addition, clinical trials evaluating immune checkpoint inhibitors such as ipilimumab, nivolumab, pembrolizumab and avelumab are currently being conducted and early results suggest clinically meaningful responses in a subset of patients.

CONCLUSIONS

There is a paucity of high-level evidence on systemic treatment options in meningioma. However, interesting novel treatment targets have been identified in the last decade. Positive signals of anti-angiogenic agents, genomically targeted agents and immunotherapy in early phase trials should be confirmed in large prospective controlled trials.

Gamma Knife radiosurgery for meningiomas of the confluence of the falx and tentorium

PURPOSE

Meningiomas arising from the confluence of the falx and tentorium (CFT) are a rare and challenging subset of meningiomas. Gamma Knife radiosurgery (GKRS) is well-established as a safe and effective management strategy for intracranial meningiomas, but its role in treating CFT meningiomas is not well-described. This paper reports the largest series focused exclusively on the outcomes of GKRS for CFT meningiomas.

METHODS

We retrospectively identified 20 CFT meningiomas out of 2031 meningioma patients who underwent GKRS at our institution between 1987 and 2021. Tumor control, overall survival (OS), and complications were recorded and analyzed. The median tumor margin dose was 13 Gy at the 50% isodose line. The median tumor volume treated was 4.4 cc (IQR 3.5-7.7). The median patient age was 58 years (range 33-83), the median MRI surveillance duration was 59 months (IQR 34-92), and the median overall follow-up duration was 92 months (IQR 42-201).

RESULTS

The local tumor control rate (PFS) at 5 and 10-years were 100% (N=10) and 83% (N=4), respectively. Eight patients had stable tumor volumes and 11 patients had regression. One patient with a twice-operated tumor had delayed progression at 7.5 years and was retreated with GKRS. No patient had adverse radiation effects during the period of MRI surveillance. The 5 and 10-year OS were 100% (N=13) and 100% (N=7), respectively.

CONCLUSIONS

GKRS is a valuable therapeutic strategy for patients with newly diagnosed CFT meningiomas or progressive residual tumors after surgical resection.

The Epidemiology of Brain and Spinal Cord Tumors

CNS tumors are a diverse group of neoplasms that emerge from a variety of different CNS cell types. These tumors may be benign, malignant, or borderline in nature. The majority of high grade glial tumors are fatal, with the exception of pilocytic astrocytoma. Primary malignant CNS tumors occur at a global annual rate of 2.1 to 5.8 per 100,000 persons. Males are more likely to develop malignant brain tumors than females, whereas benign meningiomas are more common in adult females. Additionally, gender inequalities in non-malignant tumors peak between the ages of 25 and 29 years. Only a small number of genetic variants have been associated with survival and prognosis. Notably, central nervous system (CNS) tumors exhibit significant age, gender, and race variation. Race is another factor that affects the incidence of brain and spinal cord tumors. Different races exhibit variation in terms of the prevalence of brain and CNS malignancies. This chapter discusses ongoing research on brain and spinal cord tumor epidemiology, as well as the associated risks and accompanied disorders.

MicroRNA 200a as a histologically independent marker for meningioma recurrence: Results of a four microRNA panel analysis in meningiomas

INTRODUCTION

Meningiomas are mostly benign neoplasms of the central nervous system. Nevertheless there are recurrences in about 20% after surgical resection. Previous studies could reveal several predictors of meningioma recurrence. Tumor progression often is associated with a specific pattern of chromosome losses. Our study investigated the potential function of selected microRNAs as markers of tumor progression.

METHODS

By real-time polymerase chain reaction the expressions of microRNA 21-3p, 34a-3p, 200a-3p, and 409-3p were analyzed in solid tumor and in blood samples of 51 meningioma patients as well as in blood samples of 20 healthy individuals. Additionally, aberrations of parts of chromosomes 1, 14, 18, and 22 were analyzed by FISH. Tumor and blood samples were statistically analyzed, using Spearman's rank correlation coefficient as well as Mann-Whitney U- and Kruskal-Wallis-Test.

RESULTS

MicroRNA 200a showed significantly lower expressions in recurrent meningiomas than in newly diagnosed ones. MicroRNA 409 in meningiomas was correlated significantly with tumor volume and showed a significant negative correlation with patient age. Significance was found between the expression patterns of microRNAs 34a and 200a with the respective aberrations of chromosome 1p and the microRNA 409 with aberration of chromosome 14. In the male cohort the expression of microRNA 200a in blood was significantly upregulated in patients compared to healthy volunteers. By our research the function of microRNA 200a was proved to detect meningioma patients by liquid biopsy.

CONCLUSION

We detected microRNA 200a as a new biomarker to indicate meningioma recurrences. Future transferability to blood could be important for patient follow-up.

Clinical management of brain tumors in pregnancy

PURPOSE OF REVIEW

We review the diagnostic tools, treatment options, and clinical management for brain tumors diagnosed in pregnancy with consideration for management approaches that are best suited to preserve maternal and fetal health.

RECENT FINDINGS

Women of child-bearing age are at risk of developing brain tumors and are at increased risk compared with male counterparts for tumors that are hormonally driven. Brain tumors are rare neoplasms, and diagnosis of brain tumors in pregnancy is uncommon, such that management guidelines and treatment recommendations are lacking for most tumor types. We discuss the standard treatment options for brain tumors and the relative risks and safety when these treatments are considered during pregnancy. We review the neoplasms most commonly affecting pregnant women and the existing literature and guidelines.

SUMMARY

Pregnancy is a unique phase of life in which hormonal, immunologic, and vascular changes may impact tumor growth and presentation. Treatment decisions should consider the symptoms and stability of the pregnant patients, the gestational age and health of the fetus, and the location and behavior of the neoplasm.

Quality of life after resection of a meningioma—A cross-cultural comparison of Indian and Australian patients

Purpose

To compare health-related quality of life (HRQoL) and symptom burden following meningioma resection in patients from two samples from Australia and India. This will add to the body of data on the longer-term consequences of living with a meningioma in two socio-economically and culturally different countries.

Methods

The European Organisation for Research and Treatment of Cancer (EORTC) Core Quality of Life Questionnaire (QLQ-C30), Brain Neoplasm Module (QLQ-BN20) and the Hospital Anxiety and Depression Scale (HADS) were administered to 159 Australian and 92 Indian meningioma patients over 24 months postoperative. A linear mixed model analysis identified differences between groups over time.

Results

Australian patients reported better physical functioning in the early months after surgery (T1: mean diff: 19.8, p<0.001; T2: mean diff: 12.5, p = 0.016) whereas Indian patients reported better global HRQoL (mean: -20.3, p<0.001) and emotional functioning (mean diff:-15.6, p = 0.020) at 12–24 months. In general, Australian patients reported more sleep and fatigue symptoms while Indian patients reported more gastro-intestinal symptoms over the 2-year follow-up. Future uncertainty and symptoms common for brain tumour patients were consistently more commonly reported by patients in Australia than in India. No differences for depression and anxiety were identified.

Conclusion

This is the first cross cultural study to directly compare postoperative HRQoL in meningioma patients. Some differences in HRQoL domains and symptom burden may be explained by culturally intrinsic reporting of symptoms, as well as higher care support from family members in India. Although there were differences in some HRQoL domains, clinically meaningful differences between the two samples were less common than perhaps expected. This may be due to an Indian sample with high literacy and financial resources to afford surgery and follow up care.

Symptom burden and surgical outcome in non-skull base meningiomas

Purpose

Non-skull base meningiomas (NSBM) are a distinct entity and frequently present with focal neurological deficits. This study was designed to analyze functional and oncological outcome following microsurgical tumor resection in patients with NSBM.

Patients and methods

An analysis of 300 patients that underwent NSBM resection between 2003 and 2013 was performed. Assessment measures for functional outcome were Karnofsky Performance Scale (KPS), Medical Research Council - Neurological Performance Scale (MRC-NPS), and improvement rates of focal deficits and seizures. The extent of resection; recurrence-free survival (RFS) and tumor-specific survival (TSS) were also determined.

Results

Impaired KPS and MRC-NPS were present in 73.3% and 45.7%, respectively. Focal neurological deficits were recorded in 123 patients (41.0%), with hemiparesis (21.7%) and aphasia (9.3%) the most prevalent form of impairment. Most meningiomas were localized at the convexity (64.0%), followed by falcine tumors (20.3%). Both KPI and MRC-NPS scores were significantly improved by surgical resection. Postoperative improvement rates of 96.6%, 89.3%, 72.3%, 57.9%, and 27.3% were observed for aphasia, epilepsy, hemiparesis, cranial nerve, and visual field deficits, respectively. Long-term improvement was achieved in 83.2%, 89.3%, 80.0%, 68.4% and 54.6% of patients, respectively. Gross total resection (GTR) over subtotal resection (STR) significantly improved preoperative seizures and visual field deficits and correlated with reduced risk of new postoperative hemiparesis. Poor Simpson grade was the only significant prognostic factor in multivariate analysis for long-term functional deficit, which occurred in 7.3%. Median RFS was 45.9 months (6.0 - 151.5 months), while median TSS was 53.7 months (3.1 - 153.2 months). Both WHO grade (p= 0.001) and Simpson classification (p= 0.014 and p= 0.031) were independent significant prognostic factors for decreased RFS and TSS by multivariate analysis, respectively. Furthermore, tumor diameter > 50 mm (p= 0.039) significantly correlated with decreased TSS in multivariate analysis.

Conclusion

Surgical resection significantly and stably improves neurological deficits in patients with NSBM.

Should adjuvant radiotherapy be used in atypical meningioma (WHO grade 2) following gross total resection? A systematic review and Meta-analysis

BACKGROUND

The role of adjuvant radiotherapy (RT) following gross total resection (GTR) in atypical meningioma (AM) is not well established and its benefit remains unclear. We aim to evaluate the survival benefit of adjuvant RT in AM following GTR.

METHODS

We searched biomedical databases for studies published between January 1964-February 2021 and included studies reporting primary outcomes of 5-year PFS, 5-year OS and had survival curves for restricted mean survival time (RMST) calculations. Data extracted from survival curves were pooled and analyzed using a random-effects model. Hazard ratio (HR) was calculated for sensitivity analysis.

RESULTS

We included 12 non-randomized studies comprising 1,078 patients. 803 (74.5%) patients were treated with GTR alone and 275 (25.5%) patients received adjuvant RT. In 9 studies, RT included 3 D conformal RT, intensity modulated RT, or fractionated stereotactic radiotherapy); in 3 studies, stereotactic radiosurgery was also used. Median dose of RT was 59.4 Gy. Adjuvant RT resulted in an increase of 3.9 months for restricted mean PFS truncated at 5 years (95% CI 0.23-7.72; p = 0.037) and a 22% reduction in the hazard of disease progression or death (hazards ratio 0.78; 95% CI 0.46-1.33; p = 0.370). Restricted mean OS, truncated at 5 years, was improved with adjuvant RT by 1.1 months (95% CI 0.37-1.81; p = 0.003) and a 21% reduction in the hazard of death from any cause (HR 0.79; 95% CI 0.51-1.24; p = 0.310). Meta-regression analysis of the RMST of EBRT dose did not reveal any significant difference in PFS or OS between studies reporting median dose of <59.4 Gy vs. ≥ 59.4 Gy.

CONCLUSION

Adjuvant RT following GTR in patients with AM improved restricted mean PFS and OS. While we await the results from ongoing randomized controlled trials, adjuvant RT should be recommended.

A radiomics nomogram for predicting the meningioma grade based on enhanced T1WI images

OBJECTIVES

The objective of this study was to develop a radiomics nomogram for predicting the meningioma grade based on enhanced T1 weighted imaging (T1WI) images.

METHODS

188 patients with meningioma were analyzed retrospectively. There were 94 high-grade meningioma to form high-grade group and 94 low-grade meningioma were selected randomly to form low-grade group. Clinical data and MRI features were analyzed and compared. The clinical model was built by using the significant variables. The least absolute shrinkage and selection operator regression was used to select the most valuable radiomics feature. The radiomics signature was built and the Rad-score was calculated. The radiomics nomogram was developed by the significant variables of the clinical factors and Rad-score. The calibration curve and the Hosmer-Lemeshow test were used to evaluate the radiomics nomogram. Different models were compared by Delong test and decision curve analysis curve.

RESULTS

The sex, size and surrounding invasion were used to build clinical model. The area under the receiver operator characteristic curve (AUC) of clinical model was 0.870 (95% CI: 0.782-0.959). Nine features were used to construct the radiomics signature. The AUC of the radiomics signature was 0.885 (95% CI: 0.802-0.968). The AUC of radiomics nomogram was 0.952 (95% CI: 0.904-1). The AUC of radiomics nomogram was higher than that of clinical model and radiomics signature with a significant difference (p＜0.05). The decision curve analysis curve showed that the radiomics nomogram had a larger net benefit than the clinical model and radiomics signature.

CONCLUSION

The radiomics nomogram based on enhanced T1 weighted imaging images for predicting the meningioma grade showed high predictive value and might contribute to the diagnosis and treatment of meningioma.

ADVANCES IN KNOWLEDGE

1. We first constructed a radiomic nomogram to predict the meningioma grade.2. We compared the results of the clinical model, radiomics signature and radiomics nomogram.

Molecular diagnosis and treatment of meningiomas: an expert consensus (2022)

ABSTRACT

Meningiomas are the most common primary intracranial neoplasm with diverse pathological types and complicated clinical manifestations. The fifth edition of the WHO Classification of Tumors of the Central Nervous System (WHO CNS5), published in 2021, introduces major changes that advance the role of molecular diagnostics in meningiomas. To follow the revision of WHO CNS5, this expert consensus statement was formed jointly by the Group of Neuro-Oncology, Society of Neurosurgery, Chinese Medical Association together with neuropathologists and evidence-based experts. The consensus provides reference points to integrate key biomarkers into stratification and clinical decision making for meningioma patients.

REGISTRATION

Practice guideline REgistration for transPAREncy (PREPARE), IPGRP-2022CN234.

Predictors of postoperative seizure outcome in supratentorial meningioma

OBJECTIVE

Meningiomas are the most common primary intracranial tumor. Seizures are common sequelae of meningioma development. Meningioma patients with seizures can be effectively treated with resection, with reports of seizure freedom of 60%-90%. Still, many patients manifest persistent epilepsy. Determining factors associated with worsened seizure outcomes remains critical in improving the quality of life for these patients. The authors sought to identify clinical, radiological, and histological factors associated with worse seizure outcomes in patients with supratentorial meningioma and preoperative seizures.

METHODS

The authors retrospectively reviewed the charts of 384 patients who underwent meningioma resection from 2008 to 2020. The charts of patients with a documented history of preoperative seizures were further reviewed for clinical, radiological, operative, perioperative, histological, and postoperative factors associated with seizures. Engel class at last follow-up was retrospectively assigned by the authors and further grouped into favorable (class I) and worse (class II-IV) outcomes. Factors were subsequently compared by group using comparative statistics. Univariable and multivariable regression models were utilized to identify independent predictors of worse seizure outcome.

RESULTS

Fifty-nine patients (15.4%) were found to have preoperative seizures, of whom 57 had sufficient postoperative data to determine Engel class outcome. Forty-two patients (74%) had Engel class I outcomes. The median follow-up was 17 months. Distinct margins on preoperative imaging (p = 0.012), Simpson grade I resection (p = 0.004), postresection ischemia (p = 0.019), WHO grade (p = 0.019), and recurrent disease (p = 0.015) were found to be the strongest predictors of Engel class outcome in univariable logistic regression. MIB-1 index (p = 0.001) and residual volume (p = 0.014) at last follow-up were found to be the strongest predictors of Engel class outcome in univariable generalized linear regression. Postresection ischemia (p = 0.012), WHO grade (p = 0.022), recurrent disease (p = 0.038), and MIB-1 index (p = 0.002) were found to be the strongest independent predictors of Engel class outcomes in multivariable analysis.

CONCLUSIONS

Postresection ischemia, higher WHO grade, elevated MIB-1 index, and disease recurrence independently predict postresection seizure persistence in patients with supratentorial meningioma. Further understanding of the etiology of these markers may aid in elucidation of this complex disease process and guide management to prevent worse outcomes.

Pregnancy and Childbirth in Women With Meningioma

Background Ten percent of women of childbearing age have histologically confirmed meningioma. To date, little is known regarding pregnancy-related outcomes for women with meningioma. Methods We used a de-identified database network (TriNetX's Research Network, https://trinetx.com/) to gather information on pregnant patients with meningioma (cohort 1) versus pregnant patients without meningioma (cohort 2). The primary outcome of interest included the impact of meningioma on mortality at one year. Secondary endpoints included ectopic or molar pregnancy, cesarean section, abortion, preterm labor, depression, pre-eclampsia/eclampsia, and craniotomy. Odds ratios (OR) with 95% confidence intervals (CI) were used to measure levels of association between each cohort and the outcomes of interest. Results A total of 1,739 patients were identified in each cohort following propensity-score matching. Mortality was seen in 23 patients (1.32%) in cohort 1 versus 26 patients (1.41%) in cohort 2 (OR 0.88, 95% CI {0.50, 1.55}, p=0.66). Ectopic/ molar pregnancy was seen in 31 (1.78%) versus 42 (2.42%) patients in cohorts 1 and 2, respectively (OR 0.73, 95% CI {0.046,1.17}, p=0.19). Cesarean section was seen in 126 (7.25%) versus 164 (9.43%) patients, respectively (OR 0.75, 95% CI {0.59,0.97}, p=0.020). Abortion was seen in 128 (7.36%) versus 183 (10.52%) patients, respectively (OR 0.68, 95% CI {0.53,0.86}, p=0.0011). Preterm labor was seen in 75 (4.31%) versus 119 (6.84%) patients, respectively (OR 0.61, 95% CI {0.46,0.83}, p=0.0012). Depression was seen in 258 (14.84%) versus 270 (15.53%) patients, respectively (OR 0.95, 95% CI {0.79,1.14}, p=0.57). Pre-eclampsia/eclampsia was seen in 3.11% versus 5.52% patients, respectively (OR 0.55, 95% CI {0.39,0.77}, p=0.0005). Craniotomy was seen in 74 (4.26%) versus 0 (0%) patients in cohort 1 and cohort 2, respectively. Conclusion Patients with meningioma were not at higher risk for pregnancy complications, including ectopic/molar pregnancy, cesarean section, abortion, preterm labor, pre-eclampsia/eclampsia, and mortality, compared to their non-meningioma counterparts. Still, coordinated care by neurosurgical and obstetrical providers may benefit women with meningiomas who are planning for pregnancy or are currently pregnant.

Primary Benign Tumors of the Spinal Canal

Benign tumors that grow in the spinal canal are heterogeneous neoplasms with low incidence; from these, meningiomas and nerve sheath tumors (neurofibromas and schwannomas) account for 60%-70% of all primary spinal tumors. Benign spinal canal tumors provoke nonspecific clinical manifestations, mostly related to the affected level of the spinal cord. These tumors present a challenge for the patient and healthcare professionals, for they are often difficult to diagnose and the high frequency of posttreatment complications. In this review, we describe the epidemiology, risk factors, clinical features, diagnosis, histopathology, molecular biology, and treatment of extramedullary benign meningiomas, osteoid osteomas, osteoblastomas, aneurysmal bone cysts, osteochondromas, neurofibromas, giant cell tumors of the bone, eosinophilic granulomas, hemangiomas, lipomas, and schwannomas located in the spine, as well as possible future targets that could lead to an improvement in their management.

Radiophysiomics: Brain Tumors Classification by Machine Learning and Physiological MRI Data

The precise initial characterization of contrast-enhancing brain tumors has significant consequences for clinical outcomes. Various novel neuroimaging methods have been developed to increase the specificity of conventional magnetic resonance imaging (cMRI) but also the increased complexity of data analysis. Artificial intelligence offers new options to manage this challenge in clinical settings. Here, we investigated whether multiclass machine learning (ML) algorithms applied to a high-dimensional panel of radiomic features from advanced MRI (advMRI) and physiological MRI (phyMRI; thus, radiophysiomics) could reliably classify contrast-enhancing brain tumors. The recently developed phyMRI technique enables the quantitative assessment of microvascular architecture, neovascularization, oxygen metabolism, and tissue hypoxia. A training cohort of 167 patients suffering from one of the five most common brain tumor entities (glioblastoma, anaplastic glioma, meningioma, primary CNS lymphoma, or brain metastasis), combined with nine common ML algorithms, was used to develop overall 135 classifiers. Multiclass classification performance was investigated using tenfold cross-validation and an independent test cohort. Adaptive boosting and random forest in combination with advMRI and phyMRI data were superior to human reading in accuracy (0.875 vs. 0.850), precision (0.862 vs. 0.798), F-score (0.774 vs. 0.740), AUROC (0.886 vs. 0.813), and classification error (5 vs. 6). The radiologists, however, showed a higher sensitivity (0.767 vs. 0.750) and specificity (0.925 vs. 0.902). We demonstrated that ML-based radiophysiomics could be helpful in the clinical routine diagnosis of contrast-enhancing brain tumors; however, a high expenditure of time and work for data preprocessing requires the inclusion of deep neural networks.