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REVIEW article

Front. Neurosci., 29 June 2023
Sec. Translational Neuroscience
This article is part of the Research Topic Advances in CNS Tumors Treatment and Diagnosis: Obstacles, Challenges, and Opportunities View all 16 articles

Meningiomas with CNS invasion

  • 1Department of Neurosurgery, St. Marien Academic Hospital Lünen, KLW St. Paulus Corporation, Luenen, Germany
  • 2Medical School, Westfaelische Wilhelms University of Muenster, Muenster, Germany
  • 3Medical School, University of Nicosia, Nicosia, Cyprus
  • 4Department of Neurosurgery, Bethel Clinic, Medical School, Bielefeld University, Bielefeld, Germany

CNS invasion has been included as an independent criterion for the diagnosis of a high-grade (WHO and CNS grade 2 and 3) meningioma in the 2016 and more recently in the 2021 WHO classification. However, the prognostic role of brain invasion has recently been questioned. Also, surgical treatment for brain invasive meningiomas may pose specific challenges. We conducted a systematic review of the 2016–2022 literature on brain invasive meningiomas in Pubmed, Scopus, Web of Science and the Cochrane Library. The prognostic relevance of brain invasion as a stand-alone criterion is still unclear. Additional and larger studies using robust definitions of histological brain invasion and addressing the issue of sampling errors are clearly warranted. Although the necessity of molecular profiling in meningioma grading, prognostication and decision making in the future is obvious, specific markers for brain invasion are lacking for the time being. Advanced neuroimaging may predict CNS invasion preoperatively. The extent of resection (e.g., the Simpson grading) is an important predictor of tumor recurrence especially in higher grade meningiomas, but also – although likely to a lesser degree – in benign tumors, and therefore also in brain invasive meningiomas with and without other histological features of atypia or malignancy. Hence, surgery for brain invasive meningiomas should follow the principles of maximal but safe resections. There are some data to suggest that safety and functional outcomes in such cases may benefit from the armamentarium of surgical adjuncts commonly used for surgery of eloquent gliomas such as intraoperative monitoring, awake craniotomy, DTI tractography and further advanced intraoperative brain tumor visualization.

Introduction

Meningiomas account for approximately 32% of the primary brain tumours (Ostrom et al., 2021). They are usually associated with a favorable prognosis after routine surgical treatments, since the vast majority are assigned to WHO ° (or CNS grade) 1 and the convexity represent their most predominant location (Sun et al., 2020; Louis et al., 2021; Ostrom et al., 2021). However, their treatment may become challenging and their prognosis more complicated in cases with deep seated lesions of the skull base, or of meningiomas infiltrating venous sinuses, or tumors with brain invasion. The surgical management of those lesions is somewhat controversial. Some consider a radical tumor removal, when safely possible, as the gold standard, while others find the Simpson grading obsolete (Sughrue et al., 2010; Gousias et al., 2016), i.e., there is no general agreement if treatment of more complex meningiomas should be guided by the concept of complete excision or cytoreduction only.

More than 60 years ago, Simpson published his classification describing the degree of meningioma resection (Simpson, 1957). According to radicality, resections are categorized in 5 groups. The oncological benefit of more radical resections was clear; better resected patients showed lower rates of recurrence. More recently, the prognostic value of the Simpson grading has been questioned (Perry et al., 1997; Sughrue et al., 2010; Chotai and Schwartz, 2022). Many surgeons decide for an incomplete resection of the tumor in order to prevent intraoperative complications and postoperative morbidity, since serial neuroimaging follow-up may allow for staged treatment aiming a tumor control rather than cure. Also, adjuvant radiotherapy and – importantly – radiosurgery may help to achieve acceptable local control rates in cases with residual tumor.

In this paper we will systematically review the recent literature on meningiomas with CNS invasion. We will specifically focus on prognostic issues. We will also investigate the relationship between extent of resection and recurrence in these tumors, as well as their surgical management and recent advances in meningioma invasion imaging.

Methods

We performed a systematic review of English language original articles, reviews or meta-analyses registered in the Pubmed, Scopus, Web of Science and Cochrane Library databases (1st January 2016 to 31th May 2023) according to the PRISMA guidelines using the following search terms: ‘meningioma’ and’CNS invasion’ or ‘brain invasion’ (Page et al., 2021). 2016 was chosen as the starting time in order to include only studies published after the release of the revised 4th edition of WHO brain tumor classification in 2016. No studies on the prognostic relevance of CNS invasion based on new 5th WHO edition have been identified (Figure 1). We also provide a narrative review of radiological advances and the surgical aspects of meningioma brain invasion.

FIGURE 1
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Figure 1. PRISMA flow diagram regarding studies on prognostic relevance of brain invasive meningioma.

Definition and prognostic relevance of CNS invasion. A systematic review

Meningiomas that invade the skull, venous sinuses as well as the neighboring soft tissue show an aggressive clinical course and should be aggressively treated, accordingly (Gousias et al., 2016; Goldbrunner et al., 2021; Ostrom et al., 2022). High grade invasive meningiomas, in particular those with infiltration of the venous sinuses or scalp invasion, may even demonstrate, in addition to their high recurrence rate, extremely rare distant metastasis (Kessler et al., 2017; Dalle Ore et al., 2019; Bailey et al., 2023).

However, the term of invasive meningiomas refers mainly to CNS invasion.The latter has been identified as an unfavorable prognostic factor for recurrence already some decades ago (Perry et al., 1997, 1999). As a consequence, brain invasion has been included in the revised 4th edition of the WHO classification for CNS tumours in 2016 and still remains in the newest 2021 release as a stand-alone criterion for assigning a meningioma to the CNS grade 2.

It should nevertheless be noted, that brain invasive meningiomas most often demonstrate additional malignant features. Behling et al. assessed retrospectively 1718 meningiomas, 6.7% of which showed CNS invasion, and found a positive correlation between invasion and higher Ki67 proliferation rate (Behling et al., 2021). A medical history of radiation exposure may be associated with invasive growth and a higher histological grade (Goto et al., 2014; Carr et al., 2021). Radiation-induced meningiomas demonstrate higher rates of recurrence after surgery and radiotherapy, and develop in relatively younger patients at the site of previous radiation (Goto et al., 2014; Carr et al., 2021).

More recently, the prognostic relevance of a sole CNS invasion without further characteristics of atypia or malignancy (BIOBM, brain invasive but otherwise benign meningiomas) has been questioned (Baumgarten et al., 2016; Spille et al., 2016; Nakasu and Nakasu, 2021; Kim et al., 2022). Spille et al. reviewed retrospectively their institutional cohort of 467 primary meningiomas of all grades according to the 2007/2016 WHO criteria and reported a twice as high recurrence rate of brain invasive vs. noninvasive meningiomas after gross total resection. However, brain invasive but otherwise benign meningiomas WHO ° 2 showed better progression free survival (PFS), similar to benign WHO ° 1, when compared to atypical WHO ° 2 meningiomas (Spille et al., 2016). Baumgarten et al. investigated the recurrence rate in a cohort of 229 patients WHO ° 2 treated in two different brain tumor centers in Germany and also found a significant better PFS in BIOBM when compared to atypical meningiomas WHO ° 2 (Baumgarten et al., 2016). A strong limitation of the aforementioned study, though, was the short follow up (median 22 months). Kim et al. analyzed their cohort consisting of 292 meningiomas WHO ° 2 treated between 2001 and 2020, and carried out an additional meta-analysis of the available literature including 3,590 meningiomas. These authors found no consistent association between CNS invasion and PFS. However, this study did not include a central neuropathological review and the histological evaluation reported was according to the WHO criteria at the time of treatment (Kim et al., 2022). Another meta-analysis of the prognostic relevance of CNS invasion was conducted by Nakasu et al. and included studies published after 2000. CNS invasion was identified as a predictor of a shorter PFS in the combined cohort, i.e., meningiomas WHO ° 1–3, whereas BIOBM in particular showed similar recurrence rates to meningiomas WHO ° 1 (Nakasu and Nakasu, 2021). Similarly, Garcia-Segure et al. identified brain invasion as a predictor of tumor recurrence in meningioma WHO ° 2 only in cases with additional histological signs of necrosis in their cohort comprising 181 meningiomas WHO ° 2 treated between 1995 and 2015 (Garcia-Segura et al., 2020).

Studies allowing direct comparisons of BIOBM vs. remaining meningiomas WHO ° I are definitely more appropriate to analyze the prognostic relevance of sole CNS invasion. Biczok et al. investigated retrospectively a bi-institutional cohort comprising 875 meningiomas WHO ° 1 diagnosed according to the 2007 WHO criteria and treated between 2005 and 2014, and found shorter PFS in patients with BIOBM compared to the remaining population (50 vs. 68 months), which however did not reach statistical significance. Importantly, similar results were obtained in 170 patients for which tissue samples could be made available for a neuropathological review of the brain/meningioma interface. Noteworthy, brain invasion without further signs of atypia was suspiciously frequent in these specimens (16.5%) (Biczok et al., 2019). Traylor et al. reviewed a series of 543 meningiomas (339 WHO ° 1, 200 WHO °2 and 4 WHO ° 3 after neuropathological review according to WHO 2016 criteria) treated surgically in Texas Southwestern Medical Center between 1994 and 2005 and found no significant increase of recurrence risk for BIOBM vs. WHO grade ° 1. Similar to the previous study, this study includes a very high rate of WHO ° 2 (37%) and BIOBM (26.5%) (Traylor et al., 2023). Banan et al. compared the recurrence rates between 243 benign WHO ° 1 meningiomas without CNS invasion and 25 BIOBM (i.e., 9.3% of the overall cohort) treated between 2004 and 2012 and found significantly higher rates (28% vs. 4%) in BIOBM vs. remaining WHO °1 tumors. Strengths of the study design include a central neuropathological reevaluation according to the WHO criteria of 2016 as well as the use of additional immunohistochemical staining against GFAP (Banan et al., 2021). Table 1 lists all relevant meningioma studies on the prognostic relevance of CNS invasion with specific consideration of BIOBM.

TABLE 1
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Table 1. Prognostic relevance of invasion in brain invasive otherwise benign meningiomas WHO ° 2 (BIOBM, studies since 2016 included).

The lack of large (prospective) studies with long follow up after complete resections definitely hinders far reaching conclusions regarding the prognostic relevance of brain invasion. However, another possible source of bias, which may contribute to controversial results has been pointed out by Perry, namely the ill-defined criteria for diagnosing brain invasion (Perry, 2021). This may well result in distinctly different rates of CNS invasion reported by different neurosurgical centers (Timme et al., 2020). Indeed, as detailed above the studies reported by Biczok et al., and Banan and co-workers detail a 16.5% vs. 9.3% incidence of BIOBM among otherwise histologically benign meningiomas (Biczok et al., 2019; Banan et al., 2021). While only a slight effect of the classification modification in 2016 on clinical practice had been expected, the increase of cases diagnosed as BIOBM and therefore WHO ° 2 was reported as overwhelming (Timme et al., 2020). Perry described a mini-epidemic of BIOBM in his personal consults, whereas he rejected a sizable number of BIOBM diagnoses during his central review, and discourages neuropathologists from interpretating only focal brain invasion without any additional high-grade features as a criterion for assigning tumors to WHO ° 2. Spreckelsen et al. confirmed Perry’s observation of a large interobserver variability and use of somewhat varying criteria among neuropathologists (Baumgarten et al., 2016). Picart und Spreckelsen et al. point out that precise assessment of CNS invasion is mandatory (Picart et al., 2022; von Spreckelsen et al., 2022). The 5th edition of WHO classification of CNS tumours in 2021 has recognized this issue and suggested more uniformed criteria for the diagnosis of CNS invasion. According to the new classification system, CNS invasion is defined as ‘irregular, tongue-like protrusions of tumour cells into underlying GFAP-positive parenchyma, without intervening leptomeninges. Extension along perivascular Virchow-Robin spaces is not considered to constitute brain invasion because the pia is not breached’ (Timme et al., 2020). Another important aspect of the problem is surgical sampling error (Biczok et al., 2019). Brain invasion may be missed by the neuropathologist because the brain tumor interface has not been or has not been sufficiently sampled during the surgery (Jenkinson et al., 2017; Picart et al., 2022). To this end, Timme et al. reviewed the histological reports of the Neuropathological Institute in Münster, which diagnosed meningioma samples from different Neurosurgical Departments of the region. Since the rate of CNS invasion differed among some neurosurgical departments, he concluded that surgical sampling nuances may impact the accuracy of recognition of CNS invasion (Timme et al., 2020).

Pathophysiology and molecular profile of CNS invasion

The 2021 WHO classification incorporated for the first-time molecular biomarkers into the diagnosis of grading, like CDKN2A homozygous deletion and TERT promoter mutation, allowing the assignment of the tumor to WHO/CNS ° 3 even in cases that appear histologically as lower grade (Louis et al., 2021; Table 2). The last edition of WHO classification recognizes also the importance of additional molecular profile analysis, like mutations of SMARCE1 (clear cell architecture), KLF4/TRAF7 (secretory meningiomas) and BAP1 (rhabdoid or papillary morphology) or H3K27ME3 loss of nuclear expression (potentially adverse prognosis) (Louis et al., 2021). It is now more than obvious, that translational/molecular neuroscience will soon play a key role in diagnosis but also estimation of prognosis and decision making for meningiomas.

TABLE 2
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Table 2. Criteria for histological grade classification of WHO 5th Edition 2021 (Louis et al., 2021).

CNS invasion has been associated with AKT1 mutations as well as alterations of metalloproteases and adhesion molecule expression (Jalali et al., 2015; Barresi et al., 2021; Qin et al., 2021). The pathophysiology of CNS invasion seems to undergo different stages (Quintero-Fabian et al., 2019; Maggio et al., 2021; Furtak et al., 2023; Go and Kim, 2023). The crucial point for the initiation of meningioma cells invasion is the cleavage of the basement membrane and the following remodeling of the extracellular matrix (ECM) by specific matrix metalloproteinases (MMPs) (Quintero-Fabian et al., 2019; Maggio et al., 2021; Furtak et al., 2023; Go and Kim, 2023). Several activators of MMPs, like uPA have been linked to plasmin mediated matrix breakdown and cell adhesion (Fleetwood et al., 2014). Kandenwein et al. reported increased levels of plasminogen activator inhibitor-1 (PAI-1) in patients with brain invasive meningiomas (Kandenwein et al., 2011). PAI-1 expression has been identified as a significant prognostic factor (Kandenwein et al., 2011). In a further step, the migration of meningioma cells within the loose environment of the degraded ECM is promoted by adhesion agents, like integrins (Wilisch-Neumann et al., 2013). Finally, well known growth factors, like EGFR, VEGFR or HGF contribute to neoangiogenesis and growth of the tumor cells (Fleetwood et al., 2014; Go and Kim, 2023). In this regard, Pei et al. reported lower expression of canstatin, an angiogenesis inhibitor, in WHO grade 3 brain invasive meningiomas (Pei et al., 2023). Several other pathways have also been implicated in the biology of meningioma invasion, i.e., P13K/AKT, FAK, MAPK and Hippo signaling (von Spreckelsen et al., 2022). Alterations in TERT, BAP1 and DMD have been associated with higher histological grade and poorer prognosis (Shankar et al., 2017; Juratli et al., 2018; Samal et al., 2020; Williams et al., 2020; Pellerino et al., 2022).

Roehrkasse et al. (2022) have reported data supporting the concept that the analysis of the molecular background of meningiomas may hold superior prognostic power when compared to histological features. Nassiri et al. (2021) described four consensus molecular meningioma groups with distinct tumour behaviour. Comprehensive molecular profiling of meningiomas should probably include DNA methylation pattern and copy number aberration analyses, investigating mRNA abundance, as well as driver mutations of oncogenes, such as BAP1, CDKN2A/B, and the TERT promoter (Louis et al., 2021; Nassiri et al., 2021; Roehrkasse et al., 2022). Maas et al. reviewed DNA methylation and copy number aberrations in 3031 meningiomas, and studied mutation data of 858 meningiomas. They merged the molecular and histological data into an integrated molecular-morphological classification score, which predicted more accurately the risk of recurrence than the WHO histological grading alone (Maas et al., 2021).

In summary, these latter studies may indicate that future meningioma grading schemes will increasingly rely on molecular parameters. Nevertheless, the overall number of cases investigated and published is not very large, molecular profiling strategies are complex and time consuming, and vary between investigators. Confirmatory studies are largely lacking. Finally, the quality of the clinic data used for correlations with molecular findings so far is limited, which somewhat precludes drawing robust clinical conclusions already at this point in time.

Imaging of CNS invasion

Predicting the grade of meningiomas and brain invasion preoperatively may be advantageous for surgical planning. Basic MR imaging may already help with the identification of brain invasion before the surgery. A higher volume of peritumoral edema as well as heterogeneity regarding tumor morphology and contrast enhancement may suggest an increased risk of brain invasion (Adeli et al., 2018; Joo et al., 2021; Ong et al., 2021). Hyperostosis and bony destruction have been associated with aggressive biological behaviour by some authors (Hanft et al., 2010). The aforementioned signs serve only as ‘warning signs’, though, and are definitely not robust enough to allow for a reliable preoperative diagnosis (Figures 2, 3). Recently, Luo et al. reviewed preoperative MRIs from 543 patients with meningioma WHO grade 1 and 123 with WHO grade 2 including 67 BIOBM and concluded that the imaging features of BIOBM are more similar to WHO grade 2 than 1 (Luo et al., 2023).

FIGURE 2
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Figure 2. Imperfect correlations between imaging findings, histopathological atypia, and brain invasion (I). (A) 64 years old male patient with a very large left anterior clinoidal meningioma assigned to CNS grade 2 based on cytological atypia and an increased mitotic count. However, there was no brain invasion. Somewhat fittingly, MR imaging reveals cysts, a cleft sign and heterogenous contrast enhancement as well as FLAIR and T2 intratumoral heterogeneity, but there was only limited peritumoral edema. (B) 82 years old female patient with a large right>left olfactory groove meningioma CNS grade 2. The neuropathological evaluation revealed no atypia, but prominent brain invasion. There is surprisingly little edema. Contrast enhancement is somewhat heterogenous, but the tumor looks rather homogenous on the T2 and FLAIR weighted images.

FIGURE 3
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Figure 3. Imperfect correlations between imaging findings, histopathological atypia, and brain invasion (II). (A) 74 years old female patient with a left ventricular (trigonal) CNS grade 2 meningioma. This tumor had atypical histopathological features and was found to invade the brain. Possibly in contrast, the MR showed little edema. However, the actual zone of contact between the tumor and the brain parenchyma is very small. T2, FLAIR and contrast-enhanced T1 imaging reveals little heterogeneity. (B) 64 years old female patient right parietal parasagittal meningioma CNS grade 2. There was no brain invasion, however, histopathological atypia. Note, that there is substantial edema, while the tumor tissue looks otherwise inconspicuous on T2, FLAIR and contrast-enhanced T1 weighted MR images.

Noteworthy, brain invasion as well as meningioma grade may be better predicted prior to surgery by modern high-dimensional quantitative imaging analysis, the so-called radiomics (Zhang et al., 2020; Ugga et al., 2022). Radiomics is increasingly attracting attention in medical oncology, since radiomics-derived nomograms may predict the diagnosis and biological behaviour of different tumours (Lambin et al., 2017). Peng et al. employed radiomics to obtain data from preoperative MRI and cCT studies of 215 patients with benign or high grade meningiomas and established a diagnostic nomogram model for predicting tumor grade based on features like tumor-brain interface, bone invasion and tumor location (Peng et al., 2021). Li et al. (2021) acquired traditional semantic features like tumour volume, location or peritumoral edema as well as radiomic features from the tumour and from the tumour-to-brain interface in a series of 284 meningioma (173 with, 111 without brain invasion), and constructed an integrated nomogram to predict brain invasion. Similarly, Xiao et al. (2021) established a diagnostic nomogram for predicting brain invasion after obtaining radiomic features in 719 patients with meningiomas.

(Aggressive) surgery for brain invasive meningiomas?

Oncological benefit from aggressive meningioma surgery

Simpson identified already in 1957 an aggressive meningioma resection as a beneficial prognostic factor (Simpson, 1957). However, nowadays many neurosurgeons recommend more conservative surgeries under the premise that modern adjuvant therapies and imaging follow-up may compensate for incomplete resections. Although these arguments are valid, there is still a risk that patients may forego an oncological benefit that is easy to obtain. If we accept that recurrence rates of meningiomas do not differ significantly with the Simpson grade, resecting the tumor’s dural attachment or bone infiltrations will no longer be rational. Leaving behind tumor tissue in a case with a benign growth may have no adverse midterm consequences, however this may be very different during long-term follow-up (Pettersson-Segerlind et al., 2011). Of note, clinical studies in patients with meningiomas commonly often report only limited follow up, i.e., less than 5 years.

E.g. Sughrue et al. questioned the relevance of Simpson grading of resection in modern neurosurgery, since he indeed found no significant difference in PFS between 373 patients following a Simpson Grade I, II, III, or IV resection for benign meningiomas. However, median follow up was only 3.7 years (Sughrue et al., 2010). A more recent and larger retrospective study on 1,571 patients with meningiomas WHO grade 1,2 or 3 concluded that Simpson grade IV resection was an unfavorable prognostic factor. PFS did not differ between patients with a Simpson grade I vs. grade II resection. Again, mean follow up was only 38 months (Behling et al., 2021). On the other hand, Brokinkel et al. studied 939 patients, who underwent surgery for meningioma of all WHO grades. Median follow-up was 37 months. They found a strong correlation between the Simpson grading and recurrence in general and importantly also between cases with a Simpson grades I vs. II resection. Dichotomizing extent of resection (e.g., gross total vs. subtotal resection) resulted in loss of predictive value (Brokinkel et al., 2021). We have retrospectively analysed 901 patients with meningiomas WHO grade 1 to 3. Median follow-up was 62 months. The estimated 10 years PFS was 91.8 and 81.2% after Simpson grade I and II resections, respectively (Gousias et al., 2016). Thus, coagulation instead of resection of the dural attachment more than doubled the recurrence rate at 10 years in our series. Some groups conducted retrospective cohort studies with a longer median follow up ranging from 85 to 123 months and found a prognostic relevance of the Simpson grades of resection, too (Alvernia et al., 2011; Hasseleid et al., 2012; Winther and Torp, 2017).

It should be noted, that the association between extent or resection (i.e., the Simpson grade) and recurrence seems to be much stronger in tumors with higher WHO grades. Simonetti et al. (2021) investigated 183 higher grade (i.e., WHO grades 2 and 3) meningiomas and found a 5-year survival rate of 95 and 67% after complete or partial resections, respectively. In our study we were able to analyze separately 172 patients with WHO ° 2 tumors. Estimated 10 years recurrence rates were 16% after a Simpson grade I and 50% after a Simpson grade II resection (Gousias et al., 2016). Masalha et al. analyzed retrospectively a cohort of 36 patients with anaplastic WHO ° 3 meningiomas. A complete resection was associated with significantly longer PFS and OS (Masalha et al., 2019). Depei et al. retrieved data for 530 patients from the Surveillance Epidemiology and End Results database who had surgery between 2000 and 2015 and identified a prognostic relevance of a complete resection, in terms of longer PFS, for both cases with WHO ° 2 and 3 tumors (Li et al., 2019).

Since the Simpson grading of resection reflects the subjective intraoperative impression of the surgeon, external imaging-based validation is probably useful. Ueberschaer et al. (2021) validated prospectively the documented Simpson grading through postoperative MRI and 68Ga-DOTATATE/PET-CT and found in 40.5% of the cases unexpected tumour remnants. Along the same lines, Haslund-Vinding et al. (2022) proposed a new (the Copenhagen) grading system for the extent of resection of meningiomas based on a postoperative 68Ga-DOTATOC PET/MRI.

The Simpson grading may not properly account for tumor location (Voss et al., 2017). Schwartz and McDermott have recently reviewed the role of the Simpson grading and suggested to ‘abandon the scale of Simpson grading of resection but preserve the message’ (Schwartz and McDermott, 2020).

Quality of life and functional outcome after aggressive surgery

Although meningiomas do not always cause neurological deficits or other symptoms, patients with meningiomas demonstrate significant impaired quality of life compared to normative healthy controls even before surgery (van Nieuwenhuizen et al., 2013; Haider et al., 2021). This may be partially attributed to disease-related stress, when a patient realizes that he or she has got a brain tumour, or to preoperative anxiety (Wagner et al., 2019; Haider et al., 2021). Jakola et al. (2012) prospectively evaluated a cohort of 54 patients with meningiomas and found an improvement of the cases’ health related quality of life (HRQOL) after surgery, which was mainly due to relief from anxiety. Miao et al. (2010) reported an improvement of the HRQOL score after treatment, which was nevertheless still worse than the baseline score of healthy controls in a larger cohort of 147 meningiomas. Neurocognitive scores tend to worsen after treatment (Constanthin et al., 2021). A large prospective cross-sectional study of 291 patients with meningiomas WHO ° 1 found a ‘clinically meaningful’ impairment in cognitive functioning after surgery (Nassiri et al., 2019). Sekely et al. reported neurocognitive impairments in 68% of 61 patients treated for a meningioma (surgery, radiation or both). 48% of the patients faced difficulties returning to work (Sekely et al., 2022). Unfortunately, the aforementioned studies have not specifically investigated the potential impact of the degree of resection or brain invasion upon HRQOL.

Methods of assessing of quality of life and neurocognition may differ between researchers and some degree of standardization is probably warranted (Gondar et al., 2021). Functional outcome are easier to study, e.g., in terms of new neurological deficits or performance status scales such as the Karnofsky index. Skull base location, larger tumour volume, but also invasive growth have been associated with and increased risk for postoperative deficits (Ehresman et al., 2019; Maschke et al., 2019; Przybylowski et al., 2020; Haider et al., 2021; Starnoni et al., 2021). The role of the degree of resection has been controversially discussed. Ehresman et al. report a Simpson grade IV rather than complete resection as a predictor of postoperative deficits in a series of 761 patients with meningioma (Ehresman et al., 2019). We similarly found a correlation between adverse Karnofsky outcomes and increasing Simpson grade (Gousias et al., 2016). It is likely that these findings largely reflect incomplete surgeries for more difficult to resect tumours. Along those lines, Schneider et al. described an increased risk for postoperative neurological deficits in patients undergoing radical resections in anterior and posterior skull fossa (Schneider et al., 2019, 2021). However, it is probably also fair to state that more aggressive surgery is not necessarily and always associated with worse functional outcomes (Gousias et al., 2016).

Surgery of meningiomas with CNS invasion

Only a small proportion of invasive meningiomas are characterized as BIOBM, while the vast majority of tumors with CNS invasion demonstrate additional features of malignancy, like atypia, necrosis and high proliferative capacity (Perry, 2021). As detailed above only few studies investigate specifically BIOBM, and these papers focus on the prognostic value of CNS invasion rather than surgical issues. In lieu of better data, surgical management strategies for these tumors and invasive meningiomas in general should therefore probably reflect the concept of maximal safe resection as well as the relatively strong correlation between extent of resection and recurrence in higher grade meningiomas.

The surgical management of brain invasive meningiomas may pose specific challenges. E.g. Brokinkel et al. (2018) have reported an increased risk of postoperative hemorrhage after surgery for brain invasive meningiomas. However, resection of an infiltrative brain tumor is nothing new for neurosurgeons. The experience gained during glioma surgery could be applied also to surgical cases with brain invasive meningiomas, even if the patterns of invasion are not comparable. Most cases of BIOBM or atypical meningiomas demonstrate slight invasion of pia and superficial cortex, whereas excessive brain parenchyma invasion may be apparent in malignant meningiomas (Perry et al., 1999).

The use of IONM has been reported by several authors. Paldor et al. reviewed forty cases with meningiomas in eloquent areas, mainly adjacent to the sulcus centralis and concluded that IONM may guide the surgical technique and extent of resection in favor of a better postoperative functional outcome (Paldor et al., 2022). Policicchio et al. managed infiltrative lesions of the sulcus centralis, among others also anaplastic meningioma, by IONM but also 3D Ultrasound to identify the tumor-tissue interface. Awake craniotomies may also be helpful. Kumar et al. found awake surgery useful for resections of supratentorial meningiomas during pregnancy (Kumar et al., 2020). Awake craniotomies for meningioma resection may not only maximize the safety of the resection but also result in earlier patient recovery, a reduced length of the hospital stay, ands well as costs (Bakhshi et al., 2021). Shinoura et al. routinely use awake surgery not only for meningiomas compressing cranial nerves (Shinoura et al., 2019) but also in cases with perilolandic tumors and describe a beneficial effect of this technique in terms of less postoperative deficits (Shinoura et al., 2013).

Chakravarthi et al. (2021) routinely incorporate 3D tractography during surgery of anterior skull base meningiomas. Tractography has been used not only in skull base meningiomas, but also in eloquently located meningiomas (Kumar et al., 2014; Zhao et al., 2015). Zhao et al. (2015) reported gross total resection of 11 meningiomas located in the atrium of the lateral ventricle. Surgical planning included tractography. Kumar et al. (2014) confirmed the relevance of tractography use in the surgery of eloquent cortical lesions, among others also in meningiomas.

A more precise intraoperative visualization of tumor margins may also maximize the resections of invasive meningiomas. Advanced optical imaging techniques such as confocal microscopy, optical coherence tomography, and Raman spectroscopy have been used for “optical biopsies,” i.e., intraoperative identification of tumor tissue (Shin et al., 2019). Reichert et al. report an increased glycolytic activity of meningiomas as a possible explanation for their extremely high autofluorescence capacities during a modern visualization technique, namely the flavin mononucleotide fluorescence (Reichert et al., 2023). Charalampaki et al. have recently described confocal laser endomicroscopy which combined with multispectral fluorescence microscopy as a novel technique for intraoperative tumor visualization. The authors report that their technique allows for the depiction of the cellular architecture of tumor margins with 400–1,000 fold magnification (Charalampaki et al., 2019). The ability of confocal microscopy in general to identify brain invasion of aggressive meningiomas has been reported in a mouse model (Peyre et al., 2013). Raman spectroscopy has been used for intraoperative differentiation between meningioma and healthy dura mater (Jelke et al., 2021). Fluorescence-guided microsurgery may also prove helpful when dealing with brain invasive meningiomas (Linsler et al., 2019; Jelke et al., 2021; Chotai and Schwartz, 2022). In order to further assess the benefit of 5-ALA fluorescence-guided meningioma surgery, the NXDC-MEN-301 phase 3 open-label single arm study is currently being conducted in 16 centers of USA, Germany and Austria (Stummer et al., 2022).

Conclusion

For this paper we have reviewed the more recent literature on meningiomas with histological CNS invasion. From a prognostic point of view brain invasive tumors with additional histological feature of atypia or malignancy are atypical or malignant meningiomas. The prognostic impact of brain invasion as a stand-alone criterion for the diagnosis of an aggressive tumor, however, is not clear. More investigations including larger cohorts of BIOBM will be key for answering this question. The histological analysis of CNS invasion remains the diagnostic gold standard, and more uniform and robust criteria as well as surgical sampling protocols are warranted especially in cases in which only a questionable local brain invasion is suspected (Perry, 2021). It is however not impossible that advanced neuroimaging and high-dimensional image analysis such as radiomics will eventually predict CNS invasion preoperatively (Li et al., 2021; Xiao et al., 2021). Specific molecular markers and correlates for brain invasion are lacking while on the other hand there is considerable progress toward a molecular tumor grading of meningiomas in general.

In lieu of better evidence surgical management of brain invasive meningiomas should follow the principles of a safe, but maximal resection. The extent of resection remains a major predictor of tumor recurrence, and this relation is much stronger in higher grade when compared to benign meningiomas (and by inference therefore quite likely also in brain invasive meningiomas). More conservative surgical attitudes may even be questionable in cases with completely benign tumors since most pertinent studies suffer from limited follow-up, while some nevertheless still provide evidence in favor of radical resections.

Technical adjuncts and techniques which are routinely used in glioma surgery such as intraoperative monitoring, awake craniotomy, DTI tractography, fluorescence-guided microsurgery and ultrasound may help to increase the safety of meningioma surgeries in general and of operations for brain invasive tumors in particular.

Author contributions

KG: conceptualization. KG and MS: methodology, writing—review and editing, and supervision. KG, LT, and MS: data curation and writing—original draft preparation. All authors have read and agreed to the published version of the manuscript and agreed to be accountable for the content of the work.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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References

Adeli, A., Hess, K., Mawrin, C., Streckert, E. M. S., Stummer, W., Paulus, W., et al. (2018). Prediction of brain invasion in patients with meningiomas using preoperative magnetic resonance imaging. Oncotarget 9, 35974–35982. doi: 10.18632/oncotarget.26313

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvernia, J. E., Dang, N. D., and Sindou, M. P. (2011). Convexity meningiomas: study of recurrence factors with special emphasis on the cleavage plane in a series of 100 consecutive patients. J. Neurosurg. 115, 491–498. doi: 10.3171/2011.4.JNS101922

PubMed Abstract | CrossRef Full Text | Google Scholar

Bailey, D. D., Montgomery, E. Y., and Garzon-Muvdi, T. (2023). Metastatic high-grade meningioma: a case report and review of risk factors for metastasis. Neurooncol. Adv. 5:vdad014. doi: 10.1093/noajnl/vdad014

CrossRef Full Text | Google Scholar

Bakhshi, S. K., Jawed, N., Shafiq, F., and Enam, S. A. (2021). Awake craniotomy for resection of intracranial meningioma: first case series from a low-and middle-income country. Cureus 13:e18716. doi: 10.7759/cureus.18716

PubMed Abstract | CrossRef Full Text | Google Scholar

Banan, R., Abbetmeier-Basse, M., Hong, B., Dumitru, C. A., Sahm, F., Nakamura, M., et al. (2021). The prognostic significance of clinicopathological features in meningiomas: microscopic brain invasion can predict patient outcome in otherwise benign meningiomas. Neuropathol. Appl. Neurobiol. 47, 724–735. doi: 10.1111/nan.12700

PubMed Abstract | CrossRef Full Text | Google Scholar

Barresi, V., Simbolo, M., Fioravanzo, A., Piredda, M. L., Caffo, M., Ghimenton, C., et al. (2021). Molecular profiling of 22 primary atypical meningiomas shows the prognostic significance of 18q heterozygous loss and CDKN2A/B homozygous deletion on recurrence-free survival. Cancers (Basel) 13:903. doi: 10.3390/cancers13040903

PubMed Abstract | CrossRef Full Text | Google Scholar

Baumgarten, P., Gessler, F., Schittenhelm, J., Skardelly, M., Tews, D. S., Senft, C., et al. (2016). Brain invasion in otherwise benign meningiomas does not predict tumor recurrence. Acta Neuropathol. 132, 479–481. doi: 10.1007/s00401-016-1598-1

CrossRef Full Text | Google Scholar

Behling, F., Fodi, C., Hoffmann, E., Renovanz, M., Skardelly, M., Tabatabai, G., et al. (2021). The role of Simpson grading in meningiomas after integration of the updated WHO classification and adjuvant radiotherapy. Neurosurg. Rev. 44, 2329–2336. doi: 10.1007/s10143-020-01428-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Behling, F., Fodi, C., Wang, S., Hempel, J. M., Hoffmann, E., Tabatabai, G., et al. (2021). Increased proliferation is associated with CNS invasion in meningiomas. J. Neuro Oncol. 155, 247–254. doi: 10.1007/s11060-021-03892-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Biczok, A., Jungk, C., Egensperger, R., von Deimling, A., Suchorska, B., Tonn, J. C., et al. (2019). Microscopic brain invasion in meningiomas previously classified as WHO grade I is not associated with patient outcome. J. Neuro Oncol. 145, 469–477. doi: 10.1007/s11060-019-03312-x

CrossRef Full Text | Google Scholar

Brokinkel, B., Sicking, J., Spille, D. C., Hess, K., Paulus, W., and Stummer, W. (2018). Letter to the editor. Brain invasion and the risk for postoperative hemorrhage and neurological deterioration after meningioma surgery. J. Neurosurg. 129, 849–851. doi: 10.3171/2018.5.JNS181287

PubMed Abstract | CrossRef Full Text | Google Scholar

Brokinkel, B., Spille, D. C., Brokinkel, C., Hess, K., Paulus, W., Bormann, E., et al. (2021). The Simpson grading: defining the optimal threshold for gross total resection in meningioma surgery. Neurosurg. Rev. 44, 1713–1720. doi: 10.1007/s10143-020-01369-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Carr, C. M., Benson, J. C., DeLone, D. R., Diehn, F. E., Kim, D. K., Merrell, K. W., et al. (2021). Intracranial long-term complications of radiation therapy: an image-based review. Neuroradiology 63, 471–482. doi: 10.1007/s00234-020-02621-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Chakravarthi, S. S., Fukui, M. B., Monroy-Sosa, A., Gonen, L., Epping, A., Jennings, J. E., et al. (2021). The role of 3D tractography in skull base surgery: technological advances, feasibility, and early clinical assessment with anterior skull base meningiomas. J. Neurol. Surg. B Skull Base 82, 576–592. doi: 10.1055/s-0040-1713775

PubMed Abstract | CrossRef Full Text | Google Scholar

Charalampaki, P., Nakamura, M., Athanasopoulos, D., and Heimann, A. (2019). Confocal-assisted multispectral fluorescent microscopy for brain tumor surgery. Front. Oncol. 9:583. doi: 10.3389/fonc.2019.00583

PubMed Abstract | CrossRef Full Text | Google Scholar

Chotai, S., and Schwartz, T. H. (2022). The Simpson grading: is it still valid? Cancers (Basel) 14:2007. doi: 10.3390/cancers14082007

PubMed Abstract | CrossRef Full Text | Google Scholar

Constanthin, P. E., Gondar, R., Fellrath, J., Wyttenbach, I. M., Tizi, K., Weman, L., et al. (2021). Neuropsychological outcomes after surgery for olfactory groove meningiomas. Cancers (Basel) 13:2520. doi: 10.3390/cancers13112520

PubMed Abstract | CrossRef Full Text | Google Scholar

Dalle Ore, C. L., Magill, S. T., Yen, A. J., Shahin, M. N., Lee, D. S., Lucas, C. G., et al. (2019). Meningioma metastases: incidence and proposed screening paradigm. J. Neurosurg. 132, 1447–1455. doi: 10.3171/2019.1.JNS181771

PubMed Abstract | CrossRef Full Text | Google Scholar

Ehresman, J. S., Garzon-Muvdi, T., Rogers, D., Lim, M., Gallia, G. L., Weingart, J., et al. (2019). Risk of developing postoperative deficits based on tumor location after surgical resection of an intracranial meningioma. J Neurol Surg B Skull Base 80, 59–66. doi: 10.1055/s-0038-1667066

PubMed Abstract | CrossRef Full Text | Google Scholar

Fleetwood, A. J., Achuthan, A., Schultz, H., Nansen, A., Almholt, K., Usher, P., et al. (2014). Urokinase plasminogen activator is a central regulator of macrophage three-dimensional invasion, matrix degradation, and adhesion. J. Immunol. 192, 3540–3547. doi: 10.4049/jimmunol.1302864

CrossRef Full Text | Google Scholar

Furtak, J., Birski, M., Bebyn, M., Sledzinska, P., Krajewski, S., Szylberg, T., et al. (2023). Uncovering the molecular landscape of meningiomas and the impact of perioperative steroids on patient survival. Acta Neurochir. doi: 10.1007/s00701-023-05567-w [Epub ahead of print]

PubMed Abstract | CrossRef Full Text | Google Scholar

Garcia-Segura, M. E., Erickson, A. W., Jairath, R., Munoz, D. G., and Das, S. (2020). Necrosis and brain invasion predict radio-resistance and tumor recurrence in atypical meningioma: a retrospective cohort study. Neurosurgery 88, E42–E48. doi: 10.1093/neuros/nyaa348

CrossRef Full Text | Google Scholar

Go, K. O., and Kim, Y. Z. (2023). Brain invasion and trends in molecular research on meningioma. Brain Tumor Res. Treat. 11, 47–58. doi: 10.14791/btrt.2022.0044

CrossRef Full Text | Google Scholar

Goldbrunner, R., Stavrinou, P., Jenkinson, M. D., Sahm, F., Mawrin, C., Weber, D. C., et al. (2021). EANO guideline on the diagnosis and management of meningiomas. Neuro Oncol. 23, 1821–1834. doi: 10.1093/neuonc/noab150

PubMed Abstract | CrossRef Full Text | Google Scholar

Gondar, R., Patet, G., Schaller, K., and Meling, T. R. (2021). Meningiomas and cognitive impairment after treatment: a systematic and narrative review. Cancers (Basel) 13:1846. doi: 10.3390/cancers13081846

PubMed Abstract | CrossRef Full Text | Google Scholar

Goto, Y., Yamada, S., Yamada, S. M., Nakaguchi, H., Hoya, K., Murakami, M., et al. (2014). Radiation-induced meningiomas in multiple regions, showing rapid recurrence and a high MIB 1 labeling index: a case report and review of the literature. World J. Surg. Oncol. 12:123. doi: 10.1186/1477-7819-12-123

PubMed Abstract | CrossRef Full Text | Google Scholar

Gousias, K., Schramm, J., and Simon, M. (2016). The Simpson grading revisited: aggressive surgery and its place in modern meningioma management. J. Neurosurg. 125, 551–560. doi: 10.3171/2015.9.JNS15754

PubMed Abstract | CrossRef Full Text | Google Scholar

Haider, S., Taphoorn, M. J. B., Drummond, K. J., and Walbert, T. (2021). Health-related quality of life in meningioma. Neurooncol. Adv. 3:vdab089. doi: 10.1093/noajnl/vdab089

CrossRef Full Text | Google Scholar

Hanft, S., Canoll, P., and Bruce, J. N. (2010). A review of malignant meningiomas: diagnosis, characteristics, and treatment. J. Neuro-Oncol. 99, 433–443. doi: 10.1007/s11060-010-0348-9

CrossRef Full Text | Google Scholar

Haslund-Vinding, J., Skjoth-Rasmussen, J., Poulsgaard, L., Fugleholm, K., Mirian, C., Maier, A. D., et al. (2022). Proposal of a new grading system for meningioma resection: the Copenhagen Protocol. Acta Neurochir. 164, 229–238. doi: 10.1007/s00701-021-05025-5

CrossRef Full Text | Google Scholar

Hasseleid, B. F., Meling, T. R., Ronning, P., Scheie, D., and Helseth, E. (2012). Surgery for convexity meningioma: Simpson grade I resection as the goal: clinical article. J. Neurosurg. 117, 999–1006. doi: 10.3171/2012.9.JNS12294

CrossRef Full Text | Google Scholar

Jakola, A. S., Gulati, M., Gulati, S., and Solheim, O. (2012). The influence of surgery on quality of life in patients with intracranial meningiomas: a prospective study. J. Neurooncol. 110, 137–144. doi: 10.1007/s11060-012-0947-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Jalali, S., Singh, S., Agnihotri, S., Wataya, T., Salehi, F., Alkins, R., et al. (2015). A role for matrix remodelling proteins in invasive and malignant meningiomas. Neuropathol. Appl. Neurobiol. 41, e16–e28. doi: 10.1111/nan.12166

CrossRef Full Text | Google Scholar

Jelke, F., Mirizzi, G., Borgmann, F. K., Husch, A., Slimani, R., Klamminger, G. G., et al. (2021). Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy. Sci. Rep. 11:23583. doi: 10.1038/s41598-021-02977-7

CrossRef Full Text | Google Scholar

Jenkinson, M. D., Santarius, T., Zadeh, G., and Aldape, K. D. (2017). Atypical meningioma-is it time to standardize surgical sampling techniques? Neuro Oncol. 19, 453–454. doi: 10.1093/neuonc/now245

PubMed Abstract | CrossRef Full Text | Google Scholar

Joo, L., Park, J. E., Park, S. Y., Nam, S. J., Kim, Y. H., Kim, J. H., et al. (2021). Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation. Neuro-Oncology 23, 324–333. doi: 10.1093/neuonc/noaa190

PubMed Abstract | CrossRef Full Text | Google Scholar

Juratli, T. A., McCabe, D., Nayyar, N., Williams, E. A., Silverman, I. M., Tummala, S. S., et al. (2018). DMD genomic deletions characterize a subset of progressive/higher-grade meningiomas with poor outcome. Acta Neuropathol. 136, 779–792. doi: 10.1007/s00401-018-1899-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Kandenwein, J. A., Park-Simon, T. W., Schramm, J., and Simon, M. (2011). uPA/PAI-1 expression and uPA promoter methylation in meningiomas. J. Neurooncol. 103, 533–539. doi: 10.1007/s11060-010-0411-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, R. A., Garzon-Muvdi, T., Yang, W., Weingart, J., Olivi, A., Huang, J., et al. (2017). Metastatic atypical and anaplastic meningioma: a case series and review of the literature. World Neurosurg. 101, 47–56. doi: 10.1016/j.wneu.2017.01.070

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim, M. S., Chun, S. W., Dho, Y. S., Seo, Y., Lee, J. H., Won, J. K., et al. (2022). Histopathological predictors of progression-free survival in atypical meningioma: a single-center retrospective cohort and meta-analysis. Brain Tumor Pathol. 39, 99–110. doi: 10.1007/s10014-021-00419-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, A., Chandra, P. S., Sharma, B. S., Garg, A., Rath, G. K., Bithal, P. K., et al. (2014). The role of neuronavigation-guided functional MRI and diffusion tensor tractography along with cortical stimulation in patients with eloquent cortex lesions. Br. J. Neurosurg. 28, 226–233. doi: 10.3109/02688697.2013.835370

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, D., Siraj, S., Ahsan, K., and Shafiq, F. (2020). Utilization of awake craniotomy for supra-tentorial tumor resection during pregnancy: a technique useful for fetal-maternal wellbeing. Pak. J. Med. Sci. 36, 293–295. doi: 10.12669/pjms.36.2.1853

PubMed Abstract | CrossRef Full Text | Google Scholar

Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., de Jong, E. E. C., van Timmeren, J., et al. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nat. Rev. Clin. Oncol. 14, 749–762. doi: 10.1038/nrclinonc.2017.141

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, D., Jiang, P., Xu, S., Li, C., Xi, S., Zhang, J., et al. (2019). Survival impacts of extent of resection and adjuvant radiotherapy for the modern management of high-grade meningiomas. J. Neuro-Oncol. 145, 125–134. doi: 10.1007/s11060-019-03278-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, N., Mo, Y., Huang, C., Han, K., He, M., Wang, X., et al. (2021). A clinical semantic and Radiomics nomogram for predicting brain invasion in WHO grade II meningioma based on tumor and tumor-to-brain Interface features. Front. Oncol. 11:752158. doi: 10.3389/fonc.2021.752158

CrossRef Full Text | Google Scholar

Linsler, S., Ketter, R., Oertel, J., and Urbschat, S. (2019). Fluorescence imaging of meningioma cells with somatostatin receptor ligands: an in vitro study. Acta Neurochir. 161, 1017–1024. doi: 10.1007/s00701-019-03872-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Louis, D. N., Perry, A., Wesseling, P., Brat, D. J., Cree, I. A., Figarella-Branger, D., et al. (2021). The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol. 23, 1231–1251. doi: 10.1093/neuonc/noab106

CrossRef Full Text | Google Scholar

Luo, X., Jiang, H., Liu, X. J., Zhang, Z., Deng, K., Lin, F., et al. (2023). Base MRI imaging characteristics of meningioma patients to discuss the WHO classification of brain invasion otherwise benign meningiomas. Technol. Cancer Res. Treat. 22. doi: 10.1177/15330338231171470

CrossRef Full Text | Google Scholar

Maas, S. L. N., Stichel, D., Hielscher, T., Sievers, P., Berghoff, A. S., Schrimpf, D., et al. (2021). Integrated molecular-morphologic meningioma classification: a multicenter retrospective analysis, retrospectively and prospectively validated. J. Clin. Oncol. 39, 3839–3852. doi: 10.1200/JCO.21.00784

PubMed Abstract | CrossRef Full Text | Google Scholar

Maggio, I., Franceschi, E., di Nunno, V., Gatto, L., Tosoni, A., Angelini, D., et al. (2021). Discovering the molecular landscape of meningioma: the struggle to find new therapeutic targets. Diagnostics 11:1852. doi: 10.3390/diagnostics11101852

CrossRef Full Text | Google Scholar

Masalha, W., Heiland, D. H., Delev, D., Fennell, J. T., Franco, P., Scheiwe, C., et al. (2019). Survival and prognostic predictors of anaplastic meningiomas. World Neurosurg. 131, e321–e328. doi: 10.1016/j.wneu.2019.07.148

PubMed Abstract | CrossRef Full Text | Google Scholar

Maschke, S., Martinez-Moreno, M., Micko, A., Millesi, M., Minchev, G., Mallouhi, A., et al. (2019). Challenging the osseous component of sphenoorbital meningiomas. Acta Neurochir. 161, 2241–2251. doi: 10.1007/s00701-019-04015-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Miao, Y., Lu, X., Qiu, Y., Jiang, J., and Lin, Y. (2010). A multivariate analysis of prognostic factors for health-related quality of life in patients with surgically managed meningioma. J. Clin. Neurosci. 17, 446–449. doi: 10.1016/j.jocn.2009.07.111

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakasu, S., and Nakasu, Y. (2021). Prognostic significance of brain invasion in meningiomas: systematic review and meta-analysis. Brain Tumor Pathol. 38, 81–95. doi: 10.1007/s10014-020-00390-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Nassiri, F., Liu, J., Patil, V., Mamatjan, Y., Wang, J. Z., Hugh-White, R., et al. (2021). A clinically applicable integrative molecular classification of meningiomas. Nature 597, 119–125. doi: 10.1038/s41586-021-03850-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Nassiri, F., Price, B., Shehab, A., Au, K., Cusimano, M. D., Jenkinson, M. D., et al. (2019). Life after surgical resection of a meningioma: a prospective cross-sectional study evaluating health-related quality of life. Neuro Oncol. 21, i32–i43. doi: 10.1093/neuonc/noy152

PubMed Abstract | CrossRef Full Text | Google Scholar

Ong, T., Bharatha, A., Alsufayan, R., Das, S., and Lin, A. W. (2021). MRI predictors for brain invasion in meningiomas. Neuroradiol. J. 34, 3–7. doi: 10.1177/1971400920953417

PubMed Abstract | CrossRef Full Text | Google Scholar

Ostrom, Q. T., Cioffi, G., Waite, K., Kruchko, C., and Barnholtz-Sloan, J. S. (2021). CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2014–2018. Neuro Oncol. 23, iii1–iii105. doi: 10.1093/neuonc/noab200

CrossRef Full Text | Google Scholar

Ostrom, Q. T., Price, M., Neff, C., Cioffi, G., Waite, K. A., Kruchko, C., et al. (2022). CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2015–2019. Neuro-Oncology 24, v1–v95. doi: 10.1093/neuonc/noac202

PubMed Abstract | CrossRef Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. J. Clin. Epidemiol. 134, 103–112. doi: 10.1016/j.jclinepi.2021.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Paldor, I., Doron, O., Peso, D., Jubran, M., and Sviri, G. E. (2022). Intraoperative neuromonitoring during resection of cranial meningiomas and its effect on the surgical workflow. Neurosurg. Rev. 45, 1481–1490. doi: 10.1007/s10143-021-01667-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Pei, J., Li, P., Gao, Y. H., Tian, B. G., Wang, D. Y., Zheng, Y., et al. (2023). Type IV collagen-derived angiogenesis inhibitor: canstatin low expressing in brain-invasive meningiomas using liquid chromatography-mass spectrometry (LC-MS/MS). J. Neuro-Oncol. 161, 415–423. doi: 10.1007/s11060-023-04256-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Pellerino, A., Bruno, F., Palmiero, R., Pronello, E., Bertero, L., Soffietti, R., et al. (2022). Clinical significance of molecular alterations and systemic therapy for meningiomas: where do we stand? Cancers 14:2256. doi: 10.3390/cancers14092256

CrossRef Full Text | Google Scholar

Peng, S., Cheng, Z., and Guo, Z. (2021). Diagnostic nomogram model for predicting preoperative pathological grade of meningioma. Transl. Cancer Res. 10, 4057–4064. doi: 10.21037/tcr-21-798

PubMed Abstract | CrossRef Full Text | Google Scholar

Perry, A. (2021). The definition and role of brain invasion in meningioma grading: still controversial after all these years. Free Neuropathol. 2:8. doi: 10.17879/freeneuropathology-2021-3276

CrossRef Full Text | Google Scholar

Perry, A., Scheithauer, B. W., Stafford, S. L., Lohse, C. M., and Wollan, P. C. (1999). “Malignancy” in meningiomas: a clinicopathologic study of 116 patients, with grading implications. Cancer 85, 2046–2056.

PubMed Abstract | Google Scholar

Perry, A., Stafford, S. L., Scheithauer, B. W., Suman, V. J., and Lohse, C. M. (1997). Meningioma grading: an analysis of histologic parameters. Am. J. Surg. Pathol. 21, 1455–1465. doi: 10.1097/00000478-199712000-00008

CrossRef Full Text | Google Scholar

Pettersson-Segerlind, J., Orrego, A., Lonn, S., and Mathiesen, T. (2011). Long-term 25-year follow-up of surgically treated parasagittal meningiomas. World Neurosurg. 76, 564–571. doi: 10.1016/j.wneu.2011.05.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Peyre, M., Clermont-Taranchon, E., Stemmer-Rachamimov, A., and Kalamarides, M. (2013). Miniaturized handheld confocal microscopy identifies focal brain invasion in a mouse model of aggressive meningioma. Brain Pathol. 23, 371–377. doi: 10.1111/bpa.12039

CrossRef Full Text | Google Scholar

Picart, T., Dumot, C., Guyotat, J., Pavlov, V., Streichenberger, N., Vasiljevic, A., et al. (2022). Clinical and pathological impact of an optimal assessment of brain invasion for grade 2 meningioma diagnosis: lessons from a series of 291 cases. Neurosurg. Rev. 45, 2797–2809. doi: 10.1007/s10143-022-01792-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Przybylowski, C. J., Hendricks, B. K., Frisoli, F. A., Zhao, X., Cavallo, C., Borba Moreira, L., et al. (2020). Prognostic value of the Simpson grading scale in modern meningioma surgery: barrow neurological institute experience. J. Neurosurg. 1-9, 1–9. doi: 10.3171/2020.6.JNS20374

CrossRef Full Text | Google Scholar

Qin, C., Huang, M., Pan, Y., Li, Y., Long, W., and Liu, Q. (2021). Brain-invasive meningiomas: molecular mechanisms and potential therapeutic options. Brain Tumor Pathol. 38, 156–172. doi: 10.1007/s10014-021-00399-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Quintero-Fabian, S., Arreola, R., Becerril-Villanueva, E., Torres-Romero, J. C., Arana-Argaez, V., Lara-Riegos, J., et al. (2019). Role of matrix metalloproteinases in angiogenesis and cancer. Front. Oncol. 9:1370. doi: 10.3389/fonc.2019.01370

PubMed Abstract | CrossRef Full Text | Google Scholar

Reichert, D., Wadiura, L. I., Erkkilae, M. T., Gesperger, J., Lang, A., Roetzer-Pejrimovsky, T., et al. (2023). Flavin fluorescence lifetime and autofluorescence optical redox ratio for improved visualization and classification of brain tumors. Front. Oncol. 13:1105648. doi: 10.3389/fonc.2023.1105648

CrossRef Full Text | Google Scholar

Roehrkasse, A. M., Peterson, J. E. G., Fung, K. M., Pelargos, P. E., and Dunn, I. F. (2022). The discrepancy between standard histologic WHO grading of meningioma and molecular profile: a single institution series. Front. Oncol. 12:846232. doi: 10.3389/fonc.2022.846232

PubMed Abstract | CrossRef Full Text | Google Scholar

Samal, S., Patnaik, A., Sahu, F., and Purkait, S. (2020). Altered expression of epigenetic modifiers EZH2, H3K27me3, and DNA methyltransferases in meningiomas – prognostic biomarkers for routine practice. Folia Neuropathol. 58, 133–142. doi: 10.5114/fn.2020.96970

PubMed Abstract | CrossRef Full Text | Google Scholar

Schneider, M., Schuss, P., Guresir, A., Borger, V., Vatter, H., and Guresir, E. (2021). Surgery for posterior fossa meningioma: elevated postoperative cranial nerve morbidity discards aggressive tumor resection policy. Neurosurg. Rev. 44, 953–959. doi: 10.1007/s10143-020-01275-6

CrossRef Full Text | Google Scholar

Schneider, M., Schuss, P., Guresir, A., Wach, J., Hamed, M., Vatter, H., et al. (2019). Cranial nerve outcomes after surgery for frontal skull base meningiomas: the eternal quest of the maximum-safe resection with the lowest morbidity. World Neurosurg. 125, e790–e796. doi: 10.1016/j.wneu.2019.01.171

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwartz, T. H., and McDermott, M. W. (2020). The Simpson grade: abandon the scale but preserve the message. J. Neurosurg. 1-8, 1–8. doi: 10.3171/2020.6.JNS201904

CrossRef Full Text | Google Scholar

Sekely, A., Zakzanis, K. K., Mabbott, D., Tsang, D. S., Kongkham, P., Zadeh, G., et al. (2022). Long-term neurocognitive, psychological, and return to work outcomes in meningioma patients. Support Care Cancer 30, 3893–3902. doi: 10.1007/s00520-022-06838-5

CrossRef Full Text | Google Scholar

Shankar, G. M., Abedalthagafi, M., Vaubel, R. A., Merrill, P. H., Nayyar, N., Gill, C. M., et al. (2017). Germline and somatic BAP1 mutations in high-grade rhabdoid meningiomas. Neuro Oncol. 19, 535–545. doi: 10.1093/neuonc/now235

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, K. S., Francis, A. T., Hill, A. H., Laohajaratsang, M., Cimino, P. J., Latimer, C. S., et al. (2019). Intraoperative assessment of skull base tumors using stimulated Raman scattering microscopy. Sci. Rep. 9:20392. doi: 10.1038/s41598-019-56932-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Shinoura, N., Midorikawa, A., Hiromitsu, K., Saito, S., and Yamada, R. (2019). Preservation of cranial nerve function following awake surgery for benign brain tumors in 22 consecutive patients. J. Clin. Neurosci. 61, 189–195. doi: 10.1016/j.jocn.2018.10.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Shinoura, N., Midorikawa, A., Yamada, R., Hana, T., Saito, A., Hiromitsu, K., et al. (2013). Awake craniotomy for brain lesions within and near the primary motor area: a retrospective analysis of factors associated with worsened paresis in 102 consecutive patients. Surg. Neurol. Int. 4:149. doi: 10.4103/2152-7806.122003

PubMed Abstract | CrossRef Full Text | Google Scholar

Simonetti, G., Silvani, A., Tramacere, I., Farinotti, M., Legnani, F., Pinzi, V., et al. (2021). Long term follow up in 183 high grade meningioma: a single institutional experience. Clin. Neurol. Neurosurg. 207:106808. doi: 10.1016/j.clineuro.2021.106808

CrossRef Full Text | Google Scholar

Simpson, D. (1957). The recurrence of intracranial meningiomas after surgical treatment. J. Neurol. Neurosurg. Psychiatry 20, 22–39. doi: 10.1136/jnnp.20.1.22

CrossRef Full Text | Google Scholar

Spille, D. C., Hess, K., Sauerland, C., Sanai, N., Stummer, W., Paulus, W., et al. (2016). Brain invasion in meningiomas: incidence and correlations with clinical variables and prognosis. World Neurosurg. 93, 346–354. doi: 10.1016/j.wneu.2016.06.055

PubMed Abstract | CrossRef Full Text | Google Scholar

Starnoni, D., Tuleasca, C., Giammattei, L., Cossu, G., Bruneau, M., Berhouma, M., et al. (2021). Surgical management of anterior clinoidal meningiomas: consensus statement on behalf of the EANS skull base section. Acta Neurochir. 163, 3387–3400. doi: 10.1007/s00701-021-04964-3

CrossRef Full Text | Google Scholar

Stummer, W., Holling, M., Bendok, B. R., Vogelbaum, M. A., Cox, A., Renfrow, S. L., et al. (2022). The NXDC-MEN-301 study on 5-ALA for meningiomas surgery: an innovative study design for the assessing the benefit of intra-operative fluorescence imaging. Brain Sci. 12:1044. doi: 10.3390/brainsci12081044

CrossRef Full Text | Google Scholar

Sughrue, M. E., Kane, A. J., Shangari, G., Rutkowski, M. J., McDermott, M. W., Berger, M. S., et al. (2010). The relevance of Simpson Grade I and II resection in modern neurosurgical treatment of World Health Organization Grade I meningiomas. J. Neurosurg. 113, 1029–1035. doi: 10.3171/2010.3.JNS091971

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, C., Dou, Z., Wu, J., Jiang, B., Iranmanesh, Y., Yu, X., et al. (2020). The preferred locations of meningioma according to different biological characteristics based on voxel-wise analysis. Front. Oncol. 10:1412. doi: 10.3389/fonc.2020.01412

PubMed Abstract | CrossRef Full Text | Google Scholar

Timme, M., Thomas, C., Spille, D. C., Stummer, W., Ebel, H., Ewelt, C., et al. (2020). Brain invasion in meningiomas: does surgical sampling impact specimen characteristics and histology? Neurosurg. Rev. 43, 793–800. doi: 10.1007/s10143-019-01125-0

CrossRef Full Text | Google Scholar

Traylor, J. I., Plitt, A. R., Hicks, W. H., Mian, T. M., Mickey, B. E., and Barnett, S. L. (2023). Evaluating risk of recurrence in patients with meningioma. J. Neurosurg. 138, 621–628. doi: 10.3171/2022.6.JNS221162

PubMed Abstract | CrossRef Full Text | Google Scholar

Ueberschaer, M., Vettermann, F. J., Forbrig, R., Unterrainer, M., Siller, S., Biczok, A. M., et al. (2021). Simpson grade revisited - intraoperative estimation of the extent of resection in meningiomas versus postoperative somatostatin receptor positron emission tomography/computed tomography and magnetic resonance imaging. Neurosurgery 88, 140–146. doi: 10.1093/neuros/nyaa333

CrossRef Full Text | Google Scholar

Ugga, L., Spadarella, G., Pinto, L., Cuocolo, R., and Brunetti, A. (2022). Meningioma Radiomics: at the Nexus of imaging, pathology and biomolecular characterization. Cancers (Basel). 14:2605. doi: 10.3390/cancers14112605

PubMed Abstract | CrossRef Full Text | Google Scholar

van Nieuwenhuizen, D., Ambachtsheer, N., Heimans, J. J., Reijneveld, J. C., Peerdeman, S. M., and Klein, M. (2013). Neurocognitive functioning and health-related quality of life in patients with radiologically suspected meningiomas. J. Neurooncol. 113, 433–440. doi: 10.1007/s11060-013-1132-4

CrossRef Full Text | Google Scholar

von Spreckelsen, N., Kesseler, C., Brokinkel, B., Goldbrunner, R., Perry, A., and Mawrin, C. (2022). Molecular neuropathology of brain-invasive meningiomas. Brain Pathol. 32:e13048. doi: 10.1111/bpa.13048

CrossRef Full Text | Google Scholar

Voss, K. M., Spille, D. C., Sauerland, C., Suero Molina, E., Brokinkel, C., Paulus, W., et al. (2017). The Simpson grading in meningioma surgery: does the tumor location influence the prognostic value? J. Neurooncol. 133, 641–651. doi: 10.1007/s11060-017-2481-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Wagner, A., Shiban, Y., Kammermeier, V., Joerger, A. K., Lange, N., Ringel, F., et al. (2019). Quality of life and emotional burden after transnasal and transcranial anterior skull base surgery. Acta Neurochir. 161, 2527–2537. doi: 10.1007/s00701-019-04062-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Wilisch-Neumann, A., Kliese, N., Pachow, D., Schneider, T., Warnke, J. P., Braunsdorf, W. E., et al. (2013). The integrin inhibitor cilengitide affects meningioma cell motility and invasion. Clin. Cancer Res. 19, 5402–5412. doi: 10.1158/1078-0432.CCR-12-0299

PubMed Abstract | CrossRef Full Text | Google Scholar

Williams, E. A., Wakimoto, H., Shankar, G. M., Barker, F. G. 2nd, Brastianos, P. K., Santagata, S., et al. (2020). Frequent inactivating mutations of the PBAF complex gene PBRM1 in meningioma with papillary features. Acta Neuropathol. 140, 89–93. doi: 10.1007/s00401-020-02161-7

CrossRef Full Text | Google Scholar

Winther, T. L., and Torp, S. H. (2017). Significance of the extent of resection in modern neurosurgical practice of World Health Organization grade I Meningiomas. World Neurosurg. 99, 104–110. doi: 10.1016/j.wneu.2016.11.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, D., Zhao, Z., Liu, J., Wang, X., Fu, P., Le Grange, J. M., et al. (2021). Diagnosis of invasive meningioma based on brain-tumor Interface Radiomics features on brain MR images: a multicenter study. Front. Oncol. 11:708040. doi: 10.3389/fonc.2021.708040

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Yao, K., Liu, P., Liu, Z., Han, T., Zhao, Z., et al. (2020). A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: a multicentre study. EBioMedicine 58:102933. doi: 10.1016/j.ebiom.2020.102933

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, X., Shen, X., Chen, X., Zhang, J., Wang, X., Zhang, Y., et al. (2015). Integrated functional neuronavigation-guided resection of small meningiomas of the atrium via the paramedian parieto-occipital approach. Clin. Neurol. Neurosurg. 128, 47–52. doi: 10.1016/j.clineuro.2014.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: invasive meningioma, CNS invasion, Simpson grade of resection, functional outcome, surgery

Citation: Gousias K, Trakolis L and Simon M (2023) Meningiomas with CNS invasion. Front. Neurosci. 17:1189606. doi: 10.3389/fnins.2023.1189606

Received: 19 March 2023; Accepted: 12 June 2023;
Published: 29 June 2023.

Edited by:

Sheng Zhong, Sun Yat-sen University Cancer Center, China

Reviewed by:

Rashmi Rana, Sir Ganga Ram Hospital, India
Kristin Huntoon, University of Texas MD Anderson Cancer Center, United States

Copyright © 2023 Gousias, Trakolis and Simon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Konstantinos Gousias, kostasgousias@yahoo.com

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