MétaCan
Menu
Back to cohort
Record W4379769576 · doi:10.1093/noajnl/vdad030

Introduction: Ongoing clinical challenges in the management of meningiomas and future directions

2023· article· en· W4379769576 on OpenAlexaff
Justin Z. Wang, Farshad Nassiri, Kenneth Aldape, Gelareh Zadeh

Bibliographic record

VenueNeuro-Oncology Advances · 2023
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersStrong
KeywordsMedicineProcess managementComputer scienceIntensive care medicineBusiness

Abstract

fetched live from OpenAlex

Meningiomas are the most common primary central nervous system (CNS) tumor in adults, making up 39.7% of all brain tumors and 55.4% of all benign brain tumors diagnosed in the United States.1 While these tumors are frequently treated by neurosurgeons, neuro-oncologists, and radiation oncologists, they remain understudied compared to malignant CNS tumors such as glioblastoma or medulloblastoma. This may be in part due to their perceived benign nature. However, there is increasing recognition of a significant subset of meningiomas that are biologically aggressive and resistant to the conventional treatments of surgery and radiotherapy. The development of other novel therapies through clinical trials have historically been hampered by a lack of known, targetable alterations in these tumors, and a classification system that has relied entirely on histopathology instead of objective molecular biomarkers.2,3 Recently, however, there has been a surge in meningioma studies aimed at filling these knowledge gaps. These studies have delved into the molecular biology of these tumors, identifying several key alterations associated with poor prognosis, including but not limited to homozygous loss of CDKN2A/B and TERT promoter mutation, both of which have been incorporated into the most recent iteration of the WHO classification as criteria for a grade 3 meningioma.4–9 Additionally, a significant amount of recent research has been dedicated to molecular classification, an area where meningiomas have lagged behind other CNS tumors, including glioma, medulloblastoma, and ependymoma, all of which have embraced an almost entirely molecular-based taxonomy.9–13 To this end, several international consortia, including the International Consortium for Meningiomas (ICOM), have come together with a shared goal of collaboratively sharing samples, data, and expertise across institutions and disciplines. This approach has yielded remarkable progress in the field of meningioma study, leading to landmark discoveries in the areas of classification and prognostication.3,14,15 Since Sahm et al. uncovered 2 main DNA methylation groups and 6 subgroups, several multiomic studies have aimed to improve and broaden classification by integrating data from multiple, different genomic platforms.16–20 We and others have found that when the most biologically aggressively meningiomas are included, 4 stable molecular groups consistently emerge from multiomic classification (Figure 1).21–23 Schematic of recently published meningioma molecular groups and their representative molecular findings and alterations. The outside circle encompasses the clinical meningioma topics covered in this Special Issue. This figure was partly generated using BioRender. Despite these significant strides in meningioma research, there are still important clinical questions that remain, particularly for patient populations that may have been excluded or underrepresented in genomics studies. These groups include patients with neurofibromatosis-2 (NF2) or meningiomatosis, multiple meningiomas, spinal meningiomas, incidental meningiomas, and pediatric patients with meningiomas. Moreover, in certain clinical scenarios, there remains clinical equipoise and even uncertainty surrounding the optimal treatment approaches. For instance, the role of radiotherapy or radiosurgery as a primary or adjunctive treatment modality for certain meningiomas, seizure management in meningioma patients, ­decision-making for elderly patients with meningiomas, and the use of PET imaging in meningiomas for diagnostic and therapeutic purposes, are all areas that require further exploration. The purpose of this special issue of Neuro-Oncology Advances (NOA) is to address these unresolved questions and uncertainties through articles written by a multidisciplinary group of experts in their respective fields. As an open-access publication, we hope this NOA special issue will offer worldwide accessibility to all interested readers, encourage new collaborations between different researchers and institutions, provide guidance to clinicians treating meningioma patients in their practice, and inspire future research projects aimed at answering some of these critically important questions. Below, we summarize each of the articles included in this special issue, sorted by their general category, and outline their importance (Figure 1). “The joint impacts of sex and race/ethnicity on incidence of grade 1 versus grades 2-3 meningioma across the lifespan”—Walsh et al. “Meningioma in the elderly”—Amoo et al. These two articles shed light on the current epidemiological landscape of clinically treated meningioma patients. Although it is widely accepted that meningiomas are more prevalent in females, the influence of race and ethnicity on the incidence rates of meningiomas, especially among various age groups, remains incompletely explored. Walsh et al. recognized this knowledge gap and utilized the comprehensive Central Brain Tumor Registry of the United States (CBTRUS) registry to examine the critical interplay between sex and race/ethnicity in meningioma patients. Their findings highlight significant incidence disparities that may inform future strategies for meningioma diagnosis and treatment. Similarly, as meningiomas are more frequently detected in elderly patients, it is imperative to develop strategies to tackle the challenges that come along with an aging demographic and the commensurate increase in tumor incidence rates seen clinically. Challenges in an elderly population include higher frailty rates, increased burden of comorbidities, and differences in risk stratification for observation versus treatment, be it surgery or radiotherapy. Addressing this critical issue, Amoo et al. offer a comprehensive review of the unique aspects of treating elderly patients with meningiomas, with a focus on preserving function and optimizing neurocognitive outcomes after treatment. “The management of incidental meningioma – an unresolved clinical conundrum”—Islim et al. “Multiple Meningiomas: epidemiology, management, and outcomes”—Fahlström et al. With the advent and increased availability of neuroimaging techniques, diagnoses of incidental meningiomas have substantially increased. This presents a formidable challenge for clinicians as most of these cases will remain asymptomatic and stable with time but the diagnosis itself and the possibility of progression can be a significant source of anxiety for patients. To address these points, Islim et al. comprehensively review the available clinical tools that may help predict the growth dynamics of incidental meningiomas and risk stratify these tumors into those that are more- or less-likely to progress in follow-up. While the majority of meningiomas are diagnosed as solitary tumors, certain patient populations can present with multiple meningiomas sporadically, as part of a syndrome such as NF2 or meningiomatosis, or due to childhood radiation exposure. Falström et al. provide a comprehensive review of the literature including etiology, pathophysiology, presentation, demographics, genomics, association with risk factors, and evidence-based management strategies for patients who present with multiple meningiomas. “The clinical and genomic features of seizures in meningiomas”—Dincer et al. “Clinical management of seizures In patients with meningiomas: efficacy of surgical resection for seizure control and post-operative anti-epileptic drug use”—Peart et al. Given the commonality of seizures as a presentation in meningioma patients (affecting 10%–50% of patients) and their potential to be highly debilitating from a quality-of-life standpoint, we present two companion papers that address this clinical challenge. In the first paper, Dincer et al. predominantly explore the mechanisms of epileptogenesis in meningiomas including genomic susceptibility to seizure development as well as patient- and tumor-related factors that could increase seizure risk pre- and post-operatively. In the second paper, Peart et al. focus more on the role of resective surgery for seizure control and medical management of seizures in meningioma patients based on best available evidence and guidelines. These studies together underscore the importance of seizure management in meningioma patients that is necessary to help ensure optimal perioperative and postoperative outcomes. “Radiotherapy and radiosurgery for meningiomas”—Chen et al. “Advances in PET imaging for meningioma patients”—Galldiks et al. Apart from surgical resection, other standard of care treatments for meningiomas include fractionated radiotherapy and stereotactic radiosurgery. While these are important tools, radiation may not be suitable for all meningiomas and there remains uncertainty about which patients would benefit most from these modalities. To help provide clarity on this matter, Chen et al. have conducted an extensive review of recent studies and trials that examine the efficacy of radiotherapy and radiosurgery in meningiomas. Their analysis offers valuable insights into the optimal use of radiation and provides evidence-based recommendations in line with contemporary guidelines. Furthermore, their review provides a glimpse into the future, highlighting ongoing randomized clinical trials and biological studies that will further elucidate the role of radiation in treating meningiomas moving forward. While structural magnetic resonance imaging and computed tomography have traditionally guided surgical and radiation treatments, the use of positron emission tomography (PET) has gained significant momentum as a helpful adjunct in meningioma management. Galldiks et al. have reviewed the various PET imaging techniques available for meningiomas and their efficacy in facilitating diagnosis, grading, treatment planning, and monitoring of treatment response and recurrence. Some of these techniques hold great promise and may even become integral components of the standard of care for these tumors in the future. “The clinical, genetic, and immune landscape of meningioma in patients with NF2-schwannomatosis”—Gregory and Islim et al. “Pediatric meningiomas: a literature review and diagnostic update”—Tauziede-Espariat et al. “Spinal meningiomas”—Hohenberger et al. In the concluding section of our Special Issue, we aim to highlight the importance of patient populations that have been historically underrepresented in meningioma studies. In the first article of this group, Islim et al. provide a comprehensive review of the epidemiology, management, and outcomes of meningiomas in patients with NF2. Although bilateral vestibular schwannomas are the hallmark of NF2, meningiomas are the second most frequent tumor type and found in over half of all NF2 patients.24 However, there is a dearth of knowledge about the natural history of NF2-associated meningiomas and managing them clinically can prove challenging as their presence often signifies higher severity disease and is associated with significantly increased mortality.25 The subsequent article authored by Tauziede-Espariat et al. provides a comprehensive overview of the literature on meningiomas in the pediatric population. As previously mentioned, meningiomas are primarily observed in older adults, and the occurrence of these tumors in children is rare, comprising less than 3% of primary intracranial tumors within this demographic. However, pediatric meningiomas are molecularly distinct from their adult counterparts and tend to be higher grade and more aggressive.26,27 This inherent heterogeneity makes managing and developing appropriate follow-up plans for pediatric meningioma patients a unique challenge. Our last article in the issue focuses on spinal meningiomas, which comprise only 1–10% of all CNS meningiomas.28 Although long presumed to be analogous to their intracranial counterparts, recent work has uncovered distinct molecular features that differentiate spinal from intracranial meningiomas. Importantly, the surgical techniques and management for spinal meningiomas are vastly different from those for intracranial tumors.29 Hohenberger et al. provide an overview of the current state of evidence on the epidemiology, presentation, molecular alterations, surgical management, and adjuvant therapies for spinal meningiomas to close out our Special Issue. Although traditionally thought of as a benign tumor, meningiomas, particularly clinically aggressive variants, can be associated with significant morbidity and mortality. Despite recent advances in the molecular profiling of meningiomas, there still exists noteworthy challenges in the clinical management of these tumors that can create uncertainty for both healthcare providers and patients. The aim of this Special Issue is to provide a comprehensive review of the current evidence on the clinical management of select meningiomas and meningioma patient populations, written and curated by experts in their respective fields. In doing so, we hope this issue will help guide clinical treatment, address knowledge gaps, and identify topical areas of current and future research that will improve the care of meningioma patients worldwide. This special edition and all the articles included were made possible by the generous contribution of Mr. Paul Mielnik and the Mielnik Family, who have a strong, steadfast commitment to advancing clinical meningioma research. They have been personally affected by the diagnosis of a meningioma and its subsequent treatment and it is their hope that their contribution will help others like themselves in the future. We and all the authors of this Special Issue express our gratitude for their incredible contribution and share their optimism that continued research and innovation will dramatically improve the care of meningioma patients in the future. Supplement sponsorship. This supplement was sponsored by a generous donation from Mr. Paul Mielnik and his family to help raise awareness and advance the care of patients with meningiomas worldwide. Conflict of interest statement. None declared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0050.009
Open science0.0020.002
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0080.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.365
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes1
Has abstractno

Explore more

Same venueNeuro-Oncology AdvancesSame topicMeningioma and schwannoma managementFrench-language works237,207