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JAMA Network Open Jun 2023A potential relationship between meningioma and breast cancer was suggested 70 years ago. However, to date, no conclusive evidence is available on this topic. (Meta-Analysis)
Meta-Analysis
IMPORTANCE
A potential relationship between meningioma and breast cancer was suggested 70 years ago. However, to date, no conclusive evidence is available on this topic.
OBJECTIVE
To provide a comprehensive review of the literature on the association of meningioma with breast cancer, supported by a meta-analysis.
DATA SOURCES
A systematic PubMed search was performed up to April 2023 to identify articles on the association of meningioma with breast cancer. The following key words were used strategically: meningioma, breast cancer, breast carcinoma, association, relation.
STUDY SELECTION
All studies reporting women diagnosed with meningioma and breast cancer were identified. The search strategy was not limited by study design or publication date but only included articles in English. Additional articles were identified via citation searching. Studies reporting a complete population of meningiomas or breast cancer patients throughout a specific study period and a proportion of patients with a second pathology could be used for the meta-analysis.
DATA EXTRACTION AND SYNTHESIS
Data extraction was performed by 2 authors in accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) statement. Meta-analyses regarding both populations were performed using a random-effects model. Risk of bias was assessed.
MAIN OUTCOMES AND MEASURES
The main measures were whether there was an increased prevalence of breast cancer in female patients with meningioma and whether there was an increased prevalence of meningioma in female patients with breast cancer.
RESULTS
A total of 51 retrospective studies (case reports, case series, and cancer registry reports) describing 2238 patients with both diseases were identified; 18 studies qualified for prevalence analyses and meta-analysis. The random-effects meta-analysis (13 studies) revealed a significantly greater prevalence of breast cancer in female patients with meningioma than in the overall population (odds ratio [OR], 9.87; 95% CI, 7.31-13.32). Meningioma incidence in patients with breast cancer (11 studies) was greater than that in the baseline population; however, the difference according to the random-effects model was not statistically significant (OR, 1.41; 95% CI, 0.99-2.02).
CONCLUSIONS AND RELEVANCE
This large systematic review and the meta-analysis on the association between meningioma and breast cancer found nearly 10-fold higher odds of breast cancer in female patients with meningioma compared with the general female population. These findings suggest that female patients with meningioma should be screened more intensively for breast cancer. Further research is required to identify the factors causing this association.
Topics: Humans; Female; Breast Neoplasms; Meningioma; Retrospective Studies; Incidence; Meningeal Neoplasms
PubMed: 37326990
DOI: 10.1001/jamanetworkopen.2023.18620 -
Acta Neurochirurgica Oct 2023Meningiomas are the most common primary intracranial tumor. While the majority of meningiomas are benign, rarely they can metastasize extracranially. There is a need for...
BACKGROUND
Meningiomas are the most common primary intracranial tumor. While the majority of meningiomas are benign, rarely they can metastasize extracranially. There is a need for a more comprehensive review of these patients to improve our understanding of this rare phenomenon and its prevalence globally. Here we describe our institution's experience of patients presenting with metastatic meningiomas. We further perform a systematic review of the existing literature to explore common features of this rare manifestation of meningioma and review the efficacy of current treatments.
METHODS
We performed a retrospective clinical review of all adult patients with metastatic meningioma managed at our institution over the past 20 years, identifying 6 patients. We then performed a systematic review of cases of metastatic meningioma in the literature ranging from the years 1886 to 2022. A descriptive analysis was then conducted on the available data from 1979 onward, focusing on the grade and location of the primary tumor as well as the latency period to, and location of, the metastasis.
RESULTS
In total, we analyzed 155 cases. Fifty-four percent of patients initially presented with a primary meningioma located in the convexity. The most common site of metastasis was the lung. Risk factors associated with a shorter time to metastasis were male sex and a high initial grade of the tumor. Regarding treatment, the addition of chemotherapy was the most common adjunct to the standard management of surgery and radiotherapy. Despite an exhaustive review we were unable to identify effective treatments. The majority of published cases came from centers situated in high-income countries (84%) while only 16% came from lower- and middle-income countries.
CONCLUSIONS
Metastatic meningiomas pose a pertinent, and likely underestimated, clinical challenge within modern neurosurgery. To optimize management, timely identification of these patients is important. More research is needed to explore the mechanisms underlying these tumors to better guide the development of effective screening and management protocols. However, screening of each meningioma patient is not feasible, and at the heart of this challenge is the inability to control the primary disease. Ultimately, a consensus is needed as to how to correctly screen for and manage these patients; genomic and epigenomic approaches could hold the answer to finding druggable targets.
Topics: Adult; Female; Humans; Male; Brain Neoplasms; Meningeal Neoplasms; Meningioma; Retrospective Studies; Treatment Outcome
PubMed: 37491650
DOI: 10.1007/s00701-023-05687-3 -
Journal of Neurosurgery Dec 2023The relationship between patient and meningioma characteristics and hormone receptors (HRs) of progesterone, estrogen, and androgen remains poorly defined despite... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
The relationship between patient and meningioma characteristics and hormone receptors (HRs) of progesterone, estrogen, and androgen remains poorly defined despite literature suggesting that meningiomas are sensitive to gonadal steroid hormones. Therefore, the authors sought to collect and compare data on this topic by performing a systematic review and meta-analysis of reported studies of HR status in meningiomas.
METHODS
A MEDLINE PubMed literature review conducted for articles published between January 1, 1951, and December 31, 2020, resulted in 634 unduplicated articles concerning meningiomas and HRs. There were 114 articles that met the criteria of detailed detection protocols for progesterone receptor (PR), estrogen receptor (ER), and/or androgen receptor (AR) using immunohistochemistry (IHC) or ligand-binding (LB) assays and simultaneous reporting of HR status with at least one variable among age, sex, histology, location, grade, or recurrence. Between-study heterogeneity and risk of bias were evaluated using graphical and statistical methods. The authors performed a multilevel meta-analysis using random-effects modeling on aggregated data (n = 4447) and individual participant data (n = 1363) with subgroup results summarized as pooled effects. A mixed-effects meta-regression using individual participant data was performed to analyze independently associated variables.
RESULTS
The 114 selected articles included data for 5810 patients with 6092 tumors analyzed to determine the expression of three HRs in human meningiomas: PRs, ARs, and ERs. The proportions of HR+ meningiomas were estimated to be 0.76 (95% CI 0.72-0.80) for PR+ and 0.50 (95% CI 0.33-0.66) for AR+ meningiomas. ER+ meningioma detection varied depending on the measurement method used and was 0.06 (95% CI 0.03-0.10) with IHC and 0.11 (95% CI 0.06-0.20) with LB assays. There were associations between age and PR and ER expression that varied between male and female patients. PR+ and AR+ were more common in female patients (OR 1.84, 95% CI 1.47-2.29 for PR and OR 4.16, 95% CI 1.62-10.68 for AR). Additionally, PR+ meningiomas were enriched in skull base locations (OR 1.89, 95% CI 1.03-3.48) and meningothelial histology (OR 1.86, 95% CI 1.23-2.81). A meta-regression showed that PR+ was independently associated with age (OR 1.11 95% CI 1.09-1.13; p < 0.0001) and WHO grade I tumors (OR 8.09, 95% CI 3.55-18.44; p < 0.0001). ER+ was negatively associated with meningothelial histology (OR 0.94, 95% CI 0.86-0.98; p = 0.044) and positively associated with convexity location (OR 1.12, 95% CI 1.05-1.18; p = 0.0003).
CONCLUSIONS
The association between HRs and meningioma features has been investigated but unexplained for decades. In this study the authors demonstrated that HR status has a strong association with known meningioma features, including WHO grade, age, female sex, histology, and anatomical location. Identifying these independent associations allows for a better understanding of meningioma heterogeneity and provides a foundation for revisiting targeted hormonal therapy in meningioma on the basis of proper patient stratification according to HR status.
Topics: Humans; Male; Female; Meningioma; Meningeal Neoplasms; Immunohistochemistry; Skull Base; Receptors, Estrogen; Gonadal Steroid Hormones
PubMed: 37243565
DOI: 10.3171/2023.3.JNS221838 -
Journal of Translational Medicine Oct 2023Animal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Animal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for establishing animal models depending on the research question. Commonly used methods in tumor research include xenografting cells (established/commercially available or primary patient-derived) or whole tumor pieces either orthotopically or heterotopically and the more recent genetically engineered models-each type with their own advantages and disadvantages. The current systematic review aimed to investigate the meningioma model types used, perform a meta-analysis on tumor take rate (TTR), and perform critical appraisal of the included studies. The study also aimed to assess reproducibility, reliability, means of validation and verification of models, alongside pros and cons and uses of the model types.
METHODS
We searched Medline, Embase, and Web of Science for all in vivo meningioma models. The primary outcome was tumor take rate. Meta-analysis was performed on tumor take rate followed by subgroup analyses on the number of cells and duration of incubation. The validity of the tumor models was assessed qualitatively. We performed critical appraisal of the methodological quality and quality of reporting for all included studies.
RESULTS
We included 114 unique records (78 using established cell line models (ECLM), 21 using primary patient-derived tumor models (PTM), 10 using genetically engineered models (GEM), and 11 using uncategorized models). TTRs for ECLM were 94% (95% CI 92-96) for orthotopic and 95% (93-96) for heterotopic. PTM showed lower TTRs [orthotopic 53% (33-72) and heterotopic 82% (73-89)] and finally GEM revealed a TTR of 34% (26-43).
CONCLUSION
This systematic review shows high consistent TTRs in established cell line models and varying TTRs in primary patient-derived models and genetically engineered models. However, we identified several issues regarding the quality of reporting and the methodological approach that reduce the validity, transparency, and reproducibility of studies and suggest a high risk of publication bias. Finally, each tumor model type has specific roles in research based on their advantages (and disadvantages).
SYSTEMATIC REVIEW REGISTRATION
PROSPERO-ID CRD42022308833.
Topics: Animals; Humans; Meningeal Neoplasms; Meningioma; Reproducibility of Results; Disease Models, Animal
PubMed: 37898750
DOI: 10.1186/s12967-023-04620-7 -
Acta Neuropathologica Communications Jul 2023Trimethylation of lysine 27 on histone 3 (H3K27me3) loss has been implicated in worse prognoses for patients with meningiomas. However, there have been challenges in... (Meta-Analysis)
Meta-Analysis Review
Trimethylation of lysine 27 on histone 3 (H3K27me3) loss has been implicated in worse prognoses for patients with meningiomas. However, there have been challenges in measuring H3K27me3 loss, quantifying its impact, and interpreting its clinical utility. We conducted a systematic review across Pubmed, Embase, and Web of Science to identify studies examining H3K27me3 loss in meningioma. Clinical, histopathological, and immunohistochemistry (IHC) characteristics were aggregated. A meta-analysis was performed using a random-effects model to assess prevalence of H3K27me3 loss and meningioma recurrence risk. Study bias was characterized using the NIH Quality Assessment Tool and funnel plots. Nine publications met inclusion criteria with a total of 2376 meningioma cases. The prevalence of H3K27me3 loss was 16% (95% CI 0.09-0.27), with higher grade tumors associated with a significantly greater proportion of loss. H3K27me3 loss was more common in patients who were male, had recurrent meningiomas, or required adjuvant radiation therapy. Patients were 1.70 times more likely to have tumor recurrence with H3K27me3 loss (95% CI 1.35-2.15). The prevalence of H3K27me3 loss in WHO grade 2 and 3 meningiomas was found to be significantly greater in tissue samples less than five years old versus tissue of all ages and when a broader definition of IHC staining loss was applied. This analysis demonstrates that H3K27me3 loss significantly associates with more aggressive meningiomas. While differences in IHC and tumor tissue age have led to heterogeneity in studying H3K27me3 loss, a robust prognostic signal is present. Our findings suggest an opportunity to improve study design and standardize tissue processing to optimize clinical viability of this epigenetic marker.
Topics: Child, Preschool; Female; Humans; Male; Biomarkers, Tumor; Histones; Meningeal Neoplasms; Meningioma; Prognosis
PubMed: 37491289
DOI: 10.1186/s40478-023-01615-9 -
PloS One 2024Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results.... (Meta-Analysis)
Meta-Analysis
Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.
Topics: Meningioma; Humans; Biomarkers, Tumor; Prognosis; Meningeal Neoplasms; DNA Topoisomerases, Type II; Ki-67 Antigen; Tumor Suppressor Protein p53; Vascular Endothelial Growth Factor A; Immunohistochemistry; Poly-ADP-Ribose Binding Proteins
PubMed: 38758750
DOI: 10.1371/journal.pone.0303337 -
Cancers Jul 2021Meningiomas are the most frequent primitive central nervous system tumors found in adults. Mouse models of cancer have been instrumental in understanding disease... (Review)
Review
Meningiomas are the most frequent primitive central nervous system tumors found in adults. Mouse models of cancer have been instrumental in understanding disease mechanisms and establishing preclinical drug testing. Various mouse models of meningioma have been developed over time, evolving in light of new discoveries in our comprehension of meningioma biology and with improvements in genetic engineering techniques. We reviewed all mouse models of meningioma described in the literature, including xenograft models (orthotopic or heterotopic) with human cell lines or patient derived tumors, and genetically engineered mouse models (GEMMs). Xenograft models provided useful tools for preclinical testing of a huge range of innovative drugs and therapeutic options, which are summarized in this review. GEMMs offer the possibility of mimicking human meningiomas at the histological, anatomical, and genetic level and have been invaluable in enabling tumorigenesis mechanisms, including initiation and progression, to be dissected. Currently, researchers have a range of different mouse models that can be used depending on the scientific question to be answered.
PubMed: 34359639
DOI: 10.3390/cancers13153712 -
Neurosurgical Review Oct 2021Foramen magnum meningiomas (FMMs) account for 1.8-3.2% of all meningiomas. With this systematic review and meta-analysis, our goal is to detail epidemiology, clinical... (Meta-Analysis)
Meta-Analysis Review
Foramen magnum meningiomas (FMMs) account for 1.8-3.2% of all meningiomas. With this systematic review and meta-analysis, our goal is to detail epidemiology, clinical features, surgical aspects, and outcomes of this rare pathology. Using PRISMA 2015 guidelines, we reviewed case series, mixed series, or retrospective observational cohorts with description of surgical technique, patient and lesion characteristics, and pre- and postoperative clinical status. A meta-analysis was performed to search for correlations between meningioma characteristics and rate of gross total resection (GTR). We considered 33 retrospective studies or case series, including 1053 patients, mostly females (53.8%), with a mean age of 52 years. The mean follow-up was of 51 months (range 0-258 months). 65.6% of meningiomas were anterior, and the mean diameter was of 29 mm, treated with different surgical approaches. Postoperatively, 17.2% suffered complications (both surgery- and non-surgery-related) and 2.5% had a recurrence. The Karnofsky performance score improved in average after surgical treatment (75 vs. 81, p < 0.001). Our meta-analysis shows significant rates of GTR in cohorts with a majority of posterior and laterally located FMM (p = 0.025) and with a mean tumor less than 25 mm (p < 0.05). FMM is a rare and challenging pathology whose treatment should be multidisciplinary, focusing on quality of life. Surgery still remains the gold standard and aim at maximal resection with neurological function preservation. Adjuvant therapies are needed in case of subtotal removal, non-grade I lesions, or recurrence. Specific risk factors for recurrence, other than Simpson grading, need further research.
Topics: Female; Foramen Magnum; Humans; Male; Meningeal Neoplasms; Meningioma; Middle Aged; Neoplasm Recurrence, Local; Neurosurgical Procedures; Quality of Life; Retrospective Studies; Treatment Outcome
PubMed: 33507444
DOI: 10.1007/s10143-021-01478-5 -
Cancers Jun 2024While several risk factors for recurrences have been defined, the topographic pattern of meningioma recurrences after surgical resection has been scarcely investigated.... (Review)
Review
BACKGROUND
While several risk factors for recurrences have been defined, the topographic pattern of meningioma recurrences after surgical resection has been scarcely investigated. The possibility of theoretically predicting the site of recurrence not only allows us to better understand the pathogenetic bases of the disease and consequently to drive the development of new targeted therapies, but also guides the decision-making process for treatment strategies and tailored follow-ups to decrease/prevent recurrence.
METHODS
The authors performed a comprehensive and detailed systematic literature review of the EMBASE and MEDLINE electronic online databases regarding the topographic pattern of recurrence after surgical treatment for intracranial meningiomas. Demographics and histopathological, neuroradiological and treatment data, pertinent to the topography of recurrences, as well as time to recurrences, were extracted and analyzed.
RESULTS
Four studies, including 164 cases of recurrences according to the inclusion criteria, were identified. All studies consider the possibility of recurrence at the previous dural site; three out of four, which are the most recent, consider 1 cm outside the previous dural margin to be the main limit to distinguish recurrences closer to the previous site from those more distant. Recurrences mainly occur within or close to the surgical bed; higher values of proliferation index are associated with recurrences close to the original site rather than within it.
CONCLUSIONS
Further studies, including genomic characterization of different patterns of recurrence, will better clarify the main features affecting the topography of recurrences. A comparison between topographic classifications of intracranial meningioma recurrences after surgery and after radiation treatment could provide further interesting information.
PubMed: 38927972
DOI: 10.3390/cancers16122267 -
Neurologia May 2023No formal indication currently exists for seizure prophylaxis in neurosurgical oncology patients. Neither have specific recommendations been made on the use of... (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
No formal indication currently exists for seizure prophylaxis in neurosurgical oncology patients. Neither have specific recommendations been made on the use of antiepileptic drugs (AED) in seizure-free patients with meningiomas scheduled for surgery. AEDs are generally prescribed on a discretionary basis, taking into consideration a range of clinical and radiological risk factors. We present a systematic review and meta-analysis exploring the effectiveness of antiepileptic prophylaxis in patients with meningioma and no history of seizures.
METHODS
We performed a systematic review of the PubMed/MEDLINE, Cochrane Central Register of Controlled Trials, Embase, and clinicaltrials.gov databases. Of a total of 4368 studies initially identified, 12 were selected for extraction of data and qualitative analysis. Based on the clinical data presented, we were only able to include 6 studies in the meta-analysis. We performed heterogeneity studies, calculated a combined odds ratio, evaluated publication bias, and conducted a sensitivity analysis.
RESULTS
AED prophylaxis in patients with meningioma and no history of seizures did not significantly reduce the incidence of post-operative seizures in comparison to controls (Mantel-Haenszel combined odds ratio, random effects model: 1.26 [95% confidence interval, 0.60-2.78]; 2041 patients). However, we are unable to establish a robust recommendation against this treatment due to the lack of prospective studies, the presence of selection bias in the studies reviewed, the likelihood of underestimation of seizure frequency during follow-up, and the strong influence of one study on the overall effect.
CONCLUSIONS
Despite the limitations of this review, the results of the meta-analysis do not support the routine use of seizure prophylaxis in patients with meningioma and no history of seizures.
Topics: Humans; Meningioma; Phenytoin; Anticonvulsants; Incidence; Meningeal Neoplasms
PubMed: 35781420
DOI: 10.1016/j.nrleng.2022.03.002