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Investigation of inducing apoptosis in human lung cancer A549 cells and related mechanism of a ruthenium(II) polypyridyl complex

Rom J Morphol Embryol 2023, 64(3):333–342 ISSN (print) 1220–0522, ISSN (online) 2066–8279 doi: 10.47162/RJME.64.3.05 ORIGINAL PAPER RJME Romanian Journal of Morphology & Embryology http://www.rjme.ro/ Predictor factors for recurrence in atypical meningiomas ANDREI IONUŢ CUCU1,2), CLAUDIA FLORIDA COSTEA3,4), ŞERBAN TURLIUC5), LAURENŢIU ANDREI BLAJ2,6), IULIAN PRUTIANU7), GABRIELA FLORENŢA DUMITRESCU8), CRISTINA GENA DASCĂLU9), ION POEATĂ2,6), MIHAELA COŞMAN10), ANA-CRISTINA ISTRATE11), GEORGIANA MACOVEI12), LIGIA GABRIELA TĂTĂRANU13,14) Department of Biomedical Sciences, Faculty of Medicine and Biological Sciences, Ştefan cel Mare University of Suceava, Romania 1) 2) Department of Neurosurgery, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania Department of Ophthalmology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania 3) 4) Department of Ophthalmology, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania 5) Department of Psychiatry, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania 6) Department of Neurosurgery, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania Department of Morpho-Functional Sciences I – Histology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania 7) 8) Department of Pathology, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania Department of Medical Informatics, Biostatistics, Computer Science, Mathematics and Modelling Simulation, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania 9) 10) Department of Neurosurgery, Emergency County Hospital, Brăila, Romania 11) Department of Radiology and Imaging, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania Department of Oral and Dental Diagnostics, Faculty of Dental Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania 12) 13) Department of Neurosurgery, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania 14) Department of Neurosurgery, Bagdasar–Arseni Clinical Emergency Hospital, Bucharest, Romania Abstract Background and Objectives: Atypical meningiomas (AMs), World Health Organization (WHO) grade 2, are a group of tumors with uneven and unpredictable clinical behavior. Our aim was to analyze possible tumor recurrence predictors, and to identify factors that improve progressionfree survival (PFS). Patients, Materials and Methods: Our retrospective study included 81 patients followed up in the Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania, between 1 January 2010 and 31 December 2020. The histopathological specimens were reviewed according to the WHO 2021 criteria. Analyses included clinical, imaging, pathological and surgical factors. Results: The tumor recurred in 53.1% of the 81 cases within 60 months of surgery. Tumor location (p<0.000), tumor volume (p<0.010), extent of surgical resection (p<0.000) and dural sinus invasion (p<0.001) were predictive factors of recurrence. Gross total resection (Simpson grade I and II) was achieved in 59.2% of patients. Patients with the tumors located in the brain convexity and volume <26.4 cm3 had better survival rates up to recurrence. PFS showed a significant relationship between Simpson grade I–III and biopsy (p<0.000) and was statistically influenced by tumor volume and location, and dural sinus invasion. Conclusions: AMs are a heterogeneous group of tumors, and we identified posterior fossa location, volume ≥26.4 cm3, Simpson grade III and IV resection and dural sinus invasion as predictive factors for relapse and a shorter PFS. Whereas certain characteristics provide some prognostic value, future molecular characterizations of AMs are necessary, which will support the clinical decision-making process. Keywords: atypical meningioma, predictive factor, recurrence, progression-free survival.  Introduction Meningiomas are the most common central nervous system (CNS) tumors, representing about one third of all primary brain tumors and generally being considered benign [1, 2]. Meningiomas subgroups with malignant and aggressive behaviors have been acknowledged as early as 1940 by Harvey Cushing, who also clarified the numerous confusions regarding histopathological (HP) names [3, 4], whereas the term ‘atypical meningioma’ (AM) was coined much later, in 1985 [5]. Based on HP criteria, the World Health Organization (WHO) performed several classifications of meningiomas, which were divided into three grades (1, 2, 3), the most recent such classification being conducted in 2021 [6]. According to the new reports, AMs account for about 20–30% of all meningiomas [7–9], and their incidence has increased in recent years [10, 11]. Compared to grade 1 meningiomas, AMs have a high risk of recurrence and shorter lengths of overall survival [12, 13]. They have a 7–8 times higher risk of recurrence [13] and the median time to progression is about 24 months [14–16], although some reports have shown tumor progression even within one year of surgery, despite total resection [17]. Regarding their ability to spread at a distance, most of the time, AMs do not metastasize, although such cases have been reported in the literature [18–20]. This is an open-access article distributed under the terms of a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, which permits unrestricted use, adaptation, distribution and reproduction in any medium, non-commercially, provided the new creations are licensed under identical terms as the original work and the original work is properly cited. 334 Andrei Ionuţ Cucu et al. Clinical examinations of the head and face play an important role in the early detection of various pathologies that can be localized at this level, including intracranial, intraorbital, or cutaneous meningiomas. In some such cases, a multidisciplinary approach involving neurosurgeons, ophthalmologists, maxillofacial surgeons, dentists, dermatologists, and pathologists may even be considered. Among possible prognostic factors of AMs recurrence, previous studies have reported age [21–24], HP factors [9, 24–27], tumor size [21, 28], tumor location [2, 27, 29– 32], imaging features [22, 33–35] and the most important, extent of surgical resection [12, 21, 22, 36–39]. Nevertheless, some of these reports have not succeeded in predicting recurrence and justifying a more aggressive treatment against recurring tumors. Therefore, an appropriate management strategy in AMs has yet to be identified. Aim The paper aimed to analyze possible AMs recurrence predictors, and to identify factors that improve progressionfree survival (PFS).  Patients, Materials and Methods Patient selection This retrospective study included 81 patients followed up in Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania, between 1 January 2010 and 31 December 2020. We included in our study group patients whose HP specimens were available for revision according to the current WHO 2021 criteria [6]. The study inclusion criteria were pathological diagnosis of AM (WHO grade 2) according to the WHO 2021 classification, age over 18 years, absence of any other genetic syndromes (neurofibromatosis, meningiomatosis, etc.) associated with AM and absence of any history of associated intracranial tumor or other neurosurgical condition. This retrospective study was approved by the Ethics Committee of Grigore T. Popa University of Medicine and Pharmacy (Approval No. 25938), and by the Ethics Committee of Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania (Approval No. 19092) and was compliant with the Declaration of Helsinki (1964). Variables Each patient’s demographic data (age at diagnosis, gender), clinical data (motor deficit, increased intracranial pressure syndrome), pathological reports, intraoperative protocols, pre- and postoperative imaging findings [head magnetic resonance imaging (MRI) scan findings] and time to recurrence/progression were analyzed. PFS was established as the period of time elapsed between surgery and tumor recurrence or progression. The neuroimaging factors were tumor volume, tumor margins appearance (regular/irregular), peritumoral brain edema (PBE), contrast enhancement (heterogeneous/ homogeneous) and tumor recurrence/progression. Tumor volume of meningiomas was assessed using the following formula: volume = π/6 × length × width × height [40–42] and was analyzed on preoperative MRI images [contrastenhanced T1-weighted image (T1WI)]. The mean tumor volume was 26.4 cm3, and, according to it, the group was divided into tumors <26.4 cm3 in volume and tumors ≥26.4 cm3 in volume. PBE was assessed as the hyperintense extension adjacent to the tumor in the T2-weighted image (T2WI) sequence, being assessed using the Hale scale: (0) no PBE – absence of high T2WI signal around the meningioma, (1) mild PBE – ring of high T2WI signal surrounding the tumor, but without mass effect, (2) moderate PBE – more extensive edema, but without mass effect, (3) severe PBE – mass effect on neighboring structures or deep digitiform edema [32]. Tumor recurrence or progression was defined as any contrast enhancement in the tumor remnant bed or increase in size of the tumor remnant. These aspects were assessed in the contrast enhanced T1WI sequence in serial head MRI imaging 12, 24, 36, 48 and 60 months after surgery. In the cases of Simpson III and IV resection, we classified tumor progression as tumor recurrence. Depending on their location, the tumors were classified as follows: (i) skull base, (ii) convexity, (iii) parasagittalfalcine, (iv) posterior fossa, and (v) intraventricular meningiomas. Skull base tumors included meningiomas located in the anterior and middle fossa. Posterior fossa tumors included all infratentorial meningiomas, including tentorium or petroclival meningiomas. The extent of tumor resection was assessed according to Simpson’s grading system [43] and was evaluated based on intraoperative protocols and postoperative MRI imaging (contrast enhancement). The pathological diagnosis of AMs was set according to the WHO 2021 classification, after reviewing the HP specimens. The assessed HP and immunohistochemical (IHC) factors were brain invasion by the tumor and IHC expression of Ki-67 labeling index (LI). Cerebral invasion was assessed as present or absent in the pathological specimens in which its evaluation was possible. Thus, we were able to assess brain invasion aspects in 17 of the 81 patients. Brain infiltration was defined as irregular, digitiform protrusion of the tumor in the cerebral parenchyma, without leptomeninges interposed between the tumor and the brain. We reviewed the value of the IHC expression of Ki-67 LI in 45 patients out of the whole group. Following the immunohistochemistry protocol used in our previous studies, representative specimens were fixed in 10% neutral buffered formalin, embedded in paraffin and then 4 μm sections were stained with Hematoxylin–Eosin. Furthermore, representative 4 μm sections were processed according to a two-step method (non-Avidin-Biotin, EnVision+, DAKO Corporation) [25] (Table 1). Table 1 – Antibody used in our case series (n=45) Antibody Clone Ki-67 Mouse monoclonal MIB-1 Manufacturer Dilution* DAKO 1/75 Antigen Control retrieval Citrate, Amygdala pH 6 *DAKO Antibody Diluent. Ki-67 LI was defined as the percent of positive cells counting among 100 tumor cells in the fields with the largest number of positive cells [25]. The Ki-67 LI was analyzed as a variable, and the threshold for interpretation was set as follows: <7%, between 8–10%, and >10%, in accordance with some studies in the literature [44–47], as well as personal experience regarding tumor recurrence. These Ki-67 LI values were established in our attempt to achieve a subclassification of AMs. Predictor factors for recurrence in atypical meningiomas Statistical analysis Statistical data processing was made using Statistical Package for the Social Sciences (SPSS) 24.0 software (SPSS, Inc., Chicago, IL, USA) for Windows. The parameters of descriptive statistics were calculated for numerical data and the frequency distributions were calculated for categorial data. All the data were analyzed as risk factors of recurrence after one, three and five years, using the χ2 (chi-squared) test, and the binary logistic model, as well as predictive factors of PFS, using the Kaplan–Meier method (the Mantel– Cox log rank test) and the Cox proportional hazards model. A p-value ≤0.05 was considered significant.  Results Population Forty-three (53.1%) of the 81 patients included in the study were men, and the patient age range was 34 to 87 335 years. Female patients were younger (mean age 58.4 years) than male patients (63.4 years), and the difference was statistically significant (p<0.05). When it comes to tumor recurrence based on age, we observed that, out of the 40 patients aged over 60, the tumor recurred in 22 patients. As for tumor recurrence based on gender, we did not observe statistically significant differences, as the tumor recurred in over half of both women and men (Table 2). Location and volume of meningiomas The most common tumor location was on the convexity (42%, n=34), followed by the parasagittal-falx area (25.9%, n=21), skull base (21%, n=17), and posterior fossa (7.4%, n=6). Tumor location statistically influenced tumor recurrence (p<0.000), patients with skull base meningiomas (including posterior fossa) being the most exposed (Table 3). Tumors located on the convexity showed better PFS (54.7 months) compared to the posterior fossa, with the shortest PFS (30 months) (p<0.001). Table 2 – Demographic characteristics of the patients in our study group (n=81) Characteristics Age [years] ≤60 ˃60 Sex Male Female n (%) Recurrence Univariate Multivariate analysis analysis p-value Recurrence No Yes 41 (50.6%) 40 (49.4%) 20 18 21 22 43 (53.1%) 38 (46.9%) 22 16 21 22 Univariate analysis 0.733 0.693 0.415 0.348 PFS Multivariate analysis p-value n: No. of cases; PFS: Progression-free survival. Table 3 – Neuroimaging characteristics of the patients in our study group (n=81), adapted from Cucu et al. (2020) [28] Characteristics Tumor location Convexity Skull base Parasagittal/falcine Posterior fossa Intraventricular Tumor volume [cm3] <26.4 ≥26.4 n (%) Recurrence No Yes 34 (42%) 17 (21%) 21 (25.9%) 6 (7.4%) 3 (3.7%) 25 3 8 0 2 9 14 13 6 1 41 (50.6%) 40 (49.4%) 22 16 18 25 Recurrence Univariate Multivariate analysis analysis p-value 0.000 0.017 0.010 PFS Univariate Multivariate analysis analysis p-value 0.000 0.000 0.014 0.234 0.001 0.597 0.030 n: No. of cases; PFS: Progression-free survival. A significant percentage of 50.6% (n=41) had the volume of the meningioma <26.4 cm3, this statistically influenced the rate of tumor recurrence (p<0.010). Therefore, out of the 43 meningiomas that recurred after a 5-year follow-up period, 25 had a volume ≥26.4 cm3, while 18 tumors had a volume <26.4 cm3 (Table 3). Detailed information about these correlations between tumor volume, anatomical localization, and tumor recurrence has been extensively published in a previous study [28]. Additionally, we also observed that patients under the age of 60 had tumor volumes greater than 26.4 cm3 in 58.5% of cases. The symptoms were unspecific and depended on tumor location. Intracranial hypertension syndrome occurred in 75.3% (n=61) of the patients, and 37 (45.7%) patients had motor deficit on admission. Out of the 37 patients with motor deficits upon admission, 23 experienced tumor recurrence over a 5-year follow-up period. Additionally, among the 61 patients with intracranial hypertension syndrome upon admission, 32 presented tumor recurrences during the same 5-year follow-up period. No statistical correlation was observed between tumor location or symptoms and recurrence, although we noted that patients with motor deficit on admission had PFS shorter by 7.9 months. Radiology MRI scan showed homogeneous enhancement in 45 (55.6%) tumors and irregular tumor margins in 59% of the cases. Between homogeneous enhancement and recurrence, we noted no statistical correlation. Out of the 45 patients with homogeneous meningiomas, 22 experienced recurrences, Andrei Ionuţ Cucu et al. 336 while among the 36 patients with heterogeneous meningiomas, 21 had recurrences. Regarding the appearance of PBE, most patients (37%) had severe edema, followed by moderate (22.2%) and mild edema (22.2%). PBE was absent in 18% of the cases. We noted no statistical correlation between imaging findings and tumor recurrence or PFS. Most patients (59.3%, n=48) had meningiomas with an irregular appearance, and among these, 60.41% relapsed over a 5-year follow-up period. Furthermore, out of the 33 meningiomas with a regular appearance, 19 did not recur after five years. Although the appearance of the tumor margin did not significantly influence the rate of tumor recurrence (p=0.111) or PFS (p=0.067) from a statistical point of view, it is worth mentioning that patients with regular-appearing meningiomas had a better average PFS (52 months) compared to patients with irregular-appearing meningiomas, who had a shorter average PFS (43.7 months). All neuroimaging characteristics of the meningiomas are shown in Table 4. Table 4 – Neuroimaging characteristics of the meningiomas in our study group (n=81) Characteristics Tumor margins Regular Irregular Peritumoral edema Absent Mild Moderate Severe Enhancement Homogeneous Heterogeneous n (%) Recurrence No Yes 33 (40.7%) 48 (59.3%) 19 19 14 29 15 (18.5%) 18 (22.2%) 18 (22.2%) 30 (37%) 8 9 9 12 7 9 9 18 45 (55.6%) 36 (44.4%) 23 15 22 21 Recurrence Univariate Multivariate analysis analysis p-value PFS Univariate Multivariate analysis analysis p-value 0.111 0.067 0.811 0.794 0.397 0.265 n: No. of cases; PFS: Progression-free survival. Correlations between the appearance of tumor margins (irregular versus regular) and the appearance of peritumoral cerebral edema, enhancement, tumor location, tumor volume, recurrence, and PFS have been studied and previously published in a separate study [48]. Pathological data Given that, as indicated by Brokinkel et al. [49], the brain parenchyma is not often included in the sample examined by the pathologist, in our study, brain invasion could be evaluated only in 17 patients, occurring in 12 (70.6%) of them. Out of the 12 cases, the majority of meningiomas (n=7) were located on the cerebral convexities. Although we did not identify a statistically significant relationship between brain invasion and tumor recurrence, we observed that when brain invasion was present, meningiomas recurred earlier, within the first 12 months following surgery. Furthermore, in cases where there was no brain invasion, tumors recurred later, at 48 months. Although we did not identify any statistically significant correlation, patients with brain invasion had lower PFS (43 months) than patients without invasion (55 months). Ki-67 LI was performed in 45 cases (55.5% of all meningiomas). Tumors with Ki-67 LI ˃10% expression had the highest mean volume (54.7 cm3), unlike meningiomas with Ki-67 LI <7% expression, which had a mean volume of 45.4 cm3. Even though we did not observe any statistically significant relationship between the Ki-67 LI value and the tumor recurrence, meningiomas with average Ki-67 LI values <7% had lower recurrence rates in the first 36 months. On the other hand, meningiomas with average Ki-67 LI values between 8–10% and >10% recurred earlier, after 12 months, with percentages of 22.2% and 20%, respectively. We did not find any statistical correlation between HP characteristics and tumor recurrence or PFS. All pathological characteristics of the patients are shown in Table 5. Table 5 – Pathological characteristics of the patients in our study group (n=81) Characteristics Brain invasion Present Absent Ki-67 LI <7% 8–10% >10% n (%) 17/81 12 (70.6%) 5 (29.4%) 45/81 26 (57.8%) 9 (20%) 10 (22.2%) Recurrence No Yes 6 3 6 2 Recurrence Univariate Multivariate analysis analysis p-value PFS Univariate Multivariate analysis analysis p-value 0.563 0.487 0.663 0.709 LI: Labeling index; n: No. of cases; PFS: Progression-free survival. Surgery Simpson grade I resection was performed on 12.3% of the patients (eight cases with convexity and two with intraventricular meningiomas), while Simpson grade II resection was on 46.9% of the patients (of these 38 cases, Predictor factors for recurrence in atypical meningiomas 19 tumors were located in the convexity and 10 in the parasagittal-falcine area). Subtotal resection was performed for 33 patients: Simpson grade III resection in 19.8% (of these 16 cases, four tumors were located in the parasagittalfalcine area and four in the skull base) and Simpson grade IV resection in 21% (of these 17 cases, seven tumors were located in the parasagittal-falcine area). Tumor bed hemorrhage was the most common complication after surgery (10 patients out of 15), but it required surgical removal in a single case. An important statistical correlation was noted between surgical resection and tumor recurrence (p<0.000). Multivariate analysis confirmed the prognostic significance of Simpson grade III or IV resection [p<0.000; hazard ratio (HR) 0.206; confidence interval (CI) 0.082–0.516]. The extent of resection also significantly improved PFS, and we noticed an important statistical significance between them (p<0.000). Thus, the PFS of patients with Simpson 337 grade I, II, III and IV resections were 56.4, 55.5, 44.2 and 25.4 months, respectively. Twenty-six of the 81 tumors were located in the proximity of the venous sinuses, and 15 of them showed tumor invasion. Dural sinuses invasion had a strong statistically significant influence on tumor recurrence (p<0.001), as all tumors with sinus invasion recurred during the 5-year follow-up period. The PFS of patients with sinus invasion was 27.2 months compared to patients with no invasion (55.6 months) (p<0.001). The size of the meningiomas also influenced sinus invasion (p<0.047). 66.7% (n=10) of the 15 meningiomas invading the dural sinuses had a tumor volume ˃26.4 cm3, and most tumors that invaded the dural sinuses were meningiomas of the superior sagittal sinus (n=9). On the other hand, multivariate analysis has shown that skull base meningiomas and Simpson grade III and IV resection are prognostic factors of recurrence. All the patient characteristics are shown in Table 6. Table 6 – Surgical characteristics of the patients in our study group (n=81) Characteristics Extent of surgical resection Simpson grade I Simpson grade II Simpson grade III Simpson grade IV Dural sinuses vicinity Invasion No invasion Complications Hematoma Hydrocephalus Convulsions Neurological deficit n (%) Recurrence No Yes 9 25 4 0 1 13 12 17 0 7 5 15 4 10 Recurrence Univariate Multivariate analysis analysis p-value 0.000 10 (12.3%) 38 (46.9%) 16 (19.8%) 17 (21%) 26/81 15 (57.7%) 11 (42.3%) 15/81 10 1 2 2 PFS Univariate Multivariate analysis analysis p-value 0.000 0.000 0.000 0.001 0.001 0.001 0.000 0.243 0.549 n: No. of cases; PFS: Progression-free survival. Recurrence 53.1% (n=43) of the patients had tumor recurrences during the 5-year follow-up period (Figure 1). The recurrence rates 12, 24, 36, 48 and 60 months after surgery were 8.6% (n=7), 12.3% (n=10), 9.9% (n=8), 16% (n=13) and 6.2% (n=5) (Figure 1). Figure 1 – The distribution of tumor recurrence rates over a 60-month period (n=81). In our study, we observed that tumor recurrence was more prevalent in patients over 60 years old (55%, n=22), and it was more frequent among females (57.9%). Analyzing the risk factors, we found that after one year, Simpson grade I–II resections were protective factors against tumor recurrence, while Simpson grade III–IV resections were risk factors for recurrence. Practically, patients with Simpson grade IV resections had a 10-fold higher risk of tumor recurrence after one year compared to other patients (CI 1.193–91.408). Analyzing the risk factors in terms of predicting tumor recurrence within three years, we identified five associated risk factors: (i) symptom onset between 6–12 months, (ii) tumor location in the posterior fossa, (iii) Simpson grade III–IV surgical resection, (iv) tumor volume ≥26.4 cm3, and (v) invasion of the dural sinuses. Within five years, tumor recurrence is also influenced by meningioma location at the base of the skull (Figure 2) and by Simpson grade III or IV resection. Analyzing the overall time of recurrence, we observed a median PFS of 47.1 months, with a range between 43.4 and 50.7 months. PFS was significantly influenced by (i) the anatomical location of the meningioma, (ii) tumor volume ≥26.4 cm3, (iii) the extent of surgical resection (Simpson grade resection), and (iv) invasion of the dural sinuses. The univariate Cox regression showed that tumor location, tumor volume, extent of surgical resection, and dural sinus invasion were associated with the risk of recurrence (Figure 3). 338 Andrei Ionuţ Cucu et al. When analyzing the factors that influenced the survival of patients until tumor recurrence, we introduced them into a Forward Stepwise Cox regression model to observe their hierarchy and the way they influence one another when acting simultaneously. We excluded cases with invasion of the dural sinuses as they were few and would significantly reduce the sample size. Among the factors used, the Cox regression model identified a single important factor, surgical resection with Simpson grade III or IV (HR 0.206, CI 0.082–0.515). Figure 2 – Recurrence of atypical meningioma: (A) Axial sagittal coronal contrast-enhanced CT showing a right pterional meningioma with strong and heterogeneous enhancement in a 58-year-old man; (B) Postoperative axial contrast-enhanced T1W MRI at 12 months showing absence of recurrence; (C) Axial contrast enhanced T1W MRI showing recurrence at 36 months, (D) at 48 months, and (E) at 60 months. Also, in the image (E) it can be observed the appearance of distant tumor nodules at 60 months after surgery. CT: Computed tomography; MRI: Magnetic resonance imaging; T1W: T1weighted. Figure 3 – Kaplan–Meier recurrence-free survival curves for tumor location, Simpson grade resection and status of dural sinus invasion.  Discussions In this retrospective study of prognostic factors of recurrence from single-institution cases of AMs, we analyzed the benefit and utility of clinical, radiological, pathological, and surgical findings in predicting tumor recurrence and improving PFS. Tumor location Regarding concerns the anatomical location of tumors in intracranial space, previous studies have suggested that there may be a relationship between the location and recurrence rate of meningiomas [29–31, 50, 51]. Thus, some authors argued that parasagittal [2, 31, 32], skull base [30] or posterior fossa locations were risk factors of recurrence [31, 52]. Tumor location on the convexity is most frequently cited in literature as being associated with good outcome, both in terms of recurrence and PFS, this being explained by the high rate of complete resections at this level [23, 52–54]. Thus, some authors have reported that tumor location on the brain convexity is associated with better survival rates compared to other locations, such as the parasagittal-falcine area or skull base [55], and especially the posterior fossa [23, 53]. We noted the same in patients with AMs on the convexity, who had the lowest recurrence rate of all anatomical locations and the longest PFS (Figure 3). The highest tumor recurrence rate (100%) was experienced by patients with posterior fossa meningiomas, who relapsed early, i.e., within the first 12 months after surgery, and who also had the lowest PFS. These findings support those of other authors who also reported the posterior fossa as a negative prognostic factor of recurrence [31, 52]. This may be related to the high rate of incomplete resection due to the ample representation of the dural sinuses at this level [56]. Moreover, recent studies have shown that meningiomas occurring in the midline and posterior fossa have tumor necrosis factor receptor-associated factor 7 (TRAF7) receptors and Krüppellike factor 4 (KLF4) mutations, which are associated with a more aggressive biological behavior [57]. Predictor factors for recurrence in atypical meningiomas Tumor volume Previous studies have linked tumor size to tumor recurrence and poor patient survival rates. Thus, Fernandez et al. argued that large meningiomas, such as those >45 mm, are associated with early tumor recurrence [58], whereas Garzon-Muvdi et al. concluded in their research that it is not only a prognostic factor for relapse, but also of PFS and overall survival [52]. Nakasu et al. also pointed out that the mean size of 44±14 mm influenced tumor recurrence, unlike nonrecurring meningiomas whose diameters were 35±15 mm [59]. Moreover, various studies have shown that small AM size is a protective factor against tumor recurrence [21, 58, 60]. In line with these previous studies, we also noted that ˃26.4 cm3 meningiomas had higher recurrence rates. The results have been previously published in one of our earlier studies [28]. Extent of surgical resection Concerning AMs treatment, surgical resection should be the first treatment option. In this regard, most literature studies have shown that total tumor removal is associated with better local tumor control than subtotal tumor removal [23, 38, 61–63]. Total tumor removal (Simpson I–II) was accomplished in 59.2% of the patients in our study, which was in line with data reported by other authors. In literature, Simpson I–II resection grade ranges from 36.4% to 100%, whereas the Simpson III–IV resection grade varies within the 18–60% range [22, 32, 34, 35, 57, 62–64]. We noted an important statistically significant correlation between the extent of surgical removal and recurrence (p<0.000). Thus, we may conclude that the extent of surgical resection is an important prognostic factor for relapse, in agreement with most previous studies [23, 29, 37, 65–68]. Also, the tumor recurrence rate over a 5-year period in Simpson I, II, III and IV grade resections, respectively, was 10%, 34.2%, 75% and 100%, in line with literature studies, which have reported recurrence rates for grade II and III meningiomas of 9–50% after total resections [22, 26, 27, 38, 69–73] and of 36–83% after subtotal surgical resections [38, 74]. In our series, the extent of surgical resection (Simpson grade) statistically significantly influenced PFS, in agreement with other authors [31, 64, 75]. Thus, a statistically significant relationship was noted between PFS and the Simpson I (p<0.012), Simpson I–II (p<0.000) or even Simpson I–III (p<0.000) resection grades (Figure 3). The mean PFS was 56.4 months, 55.5 months, 44.2 months, and 25.4 months after Simpson I, II, III and IV surgical resections, respectively. We may say that a more extensive surgical resection will be associated with better PFS, which was also claimed by other literature studies, which recommend total resection as much as possible to improve PFS [53, 74]. Dural sinus invasion Invasion of the dural sinuses significantly statistically influenced the extent of surgical removal (p<0.001). Most of the tumors that invaded the venous sinuses (73.3%) were resected Simpson grade IV, followed by Simpson III resection in 20% of these cases. This fact influenced the relapse of meningiomas, in agreement with other studies that have depicted that recurrence is related to the extension of surgery [76–79]. 339 In accordance with Murata et al. [80] and Marks et al. [81], we noted statistically significant differences between venous sinus invasion and tumor recurrence rates. AMs that had infiltrated the dural sinuses recurred faster, this being since the invasion of the dural sinuses makes it difficult to remove the tumor fully and safely [82]. In another study of 328 patients with meningiomas infiltrating the superior sagittal sinus, Caroli et al. noticed that the extent of tumor resection significantly influenced the recurrence rate, with a mean recurrence of 6.8 years for grade 1 meningiomas and 4.7 years for grade 2 and 3 meningiomas [83]. The presence of invasion of the dural sinuses strongly influenced the statistical significance of PFS (p<0.000), in agreement with other authors [82]. Patients with venous sinus infiltration had the lowest mean PFS (27.2 months), in contrast to patients without dural sinus invasion, who had a better mean PFS (55.6 months) (Figure 3). In a study carried out on a group of patients with grade 1, 2 and 3 parasagittal meningiomas, Colli et al. (2006) showed that malignant meningiomas had the lowest PFS, followed by grade 2 and grade 1 meningiomas. Moreover, they noted a significant difference between grade 1 and 2 meningiomas, but not between grade 2 and 3 meningiomas [84]. Study limitations Our study has a few limitations, the most important being due to its retrospective design and small number of patients. Also, our follow-up period was only five years, which is short in our opinion. Therefore, we advise extending the duration of follow-up periods to be able to identify delayed recurrences in patients in a more effective manner.  Conclusions We identified a group of prognostic factors of tumor recurrence with strong statistical significance: the extent of surgical resection, the anatomical location of meningiomas, tumor volume ≥26.4 cm3, and invasion of the dural sinuses. Among them, complete surgical resection (Simpson I and II) is the main prognostic factor in AMs. To avoid possible tumor recurrence, we recommend total resection, but this should be adapted for each patient, depending on the existing risks. Prospective studies are likely to better delineate the aggressiveness of treatment strategies for these tumors, to prevent tumor recurrence. Conflict of interests The authors declare that they have no conflict of interests. References [1] Claus EB, Black PM, Bondy ML, Calvocoressi L, Schildkraut JM, Wiemels JL, Wrensch M. Exogenous hormone use and meningioma risk: what do we tell our patients? Cancer, 2007, 110(3):471–476. https://doi.org/10.1002/cncr.22783 PMID: 17580362 [2] Budohoski KP, Clerkin J, Millward CP, O’Halloran PJ, Waqar M, Looby S, Young AMH, Guilfoyle MR, Fitzroll D, Devadass A, Allinson K, Farrell M, Javadpour M, Jenkinson MD, Santarius T, Kirollos RW. Predictors of early progression of surgically treated atypical meningiomas. Acta Neurochir (Wien), 2018, 160(9): 1813–1822. https://doi.org/10.1007/s00701-018-3593-x PMID: 29961125 PMCID: PMC6105233 [3] Cushing H, Eiesenhardt L. Meningiomas: their classification, regional behavior, life history and surgical end results. Charles C Thomas Publisher, Springfield, IL, USA, 1938. https://online exhibits.library.yale.edu/s/harvey-cushing/item/8061#?c=&m= &s=&cv=&xywh=-1520%2C-1%2C5232%2C1691 340 Andrei Ionuţ Cucu et al. [4] Cucu AI, Costea CF, Perciaccante A, Carauleanu A, Turliuc S, Costachescu B, Poeata I, Turliuc MD. The history of Arachne through historic descriptions of meningiomas with hyperostosis: from prehistory to the present. World Neurosurg, 2019, 128: 37–46. https://doi.org/10.1016/j.wneu.2019.04.199 PMID: 31048045 [5] Jääskeläinen J, Haltia M, Laasonen E, Wahlström T, Valtonen S. The growth rate of intracranial meningiomas and its relation to histology. An analysis of 43 patients. Surg Neurol, 1985, 24(2):165–172. https://doi.org/10.1016/0090-3019(85)90180-6 PMID: 4012573 [6] Louis DN, Perry A, Reifenberger G, Deimling A, FigarellaBranger D, Cavenee WK, Ohgaki H, Wiestler OD, Kleihues P, Ellison DW. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol, 2016, 131(6):803–820. https://doi.org/10.1007/ s00401-016-1545-1 PMID: 27157931 [7] Pearson BE, Markert JM, Fisher WS, Guthrie BL, Fiveash JB, Palmer CA, Riley K. Hitting a moving target: evolution of a treatment paradigm for atypical meningiomas amid changing diagnostic criteria. Neurosurg Focus, 2008, 24(5):E3. https:// doi.org/10.3171/FOC/2008/24/5/E3 PMID: 18447742 [8] Backer-Grøndahl T, Moen BH, Torp SH. The histopathological spectrum of human meningiomas. Int J Clin Exp Pathol, 2012, 5(3):231–242. PMID: 22558478 PMCID: PMC3341686 [9] Pasquier D, Bijmolt S, Veninga T, Rezvoy N, Villa S, Krengli M, Weber DC, Baumert BG, Canyilmaz E, Yalman D, Szutowicz E, Tzuk-Shina T, Mirimanoff RO; Rare Cancer Network. Atypical and malignant meningioma: outcome and prognostic factors in 119 irradiated patients. A multicenter, retrospective study of the Rare Cancer Network. Int J Radiat Oncol Biol Phys, 2008, 71(5):1388–1393. https://doi.org/10.1016/j.ijrobp.2007. 12.020 PMID: 18294779 [10] Baldi I, Engelhardt J, Bonnet C, Bauchet L, Berteaud E, Grüber A, Loiseau H. Epidemiology of meningiomas. Neurochirurgie, 2018, 64(1):5–14. https://doi.org/10.1016/j.neuchi. 2014.05.006 PMID: 25249493 [11] Cucu AI, Costea CF, Carauleanu A, Dumitrescu GF, Sava A, Sadiye Scripcariu I, Costan VV, Turliuc S, Poeata I, Turliuc DM. Meningiomas related to the Chernobyl irradiation disaster in north-eastern Romania between 1990 and 2015. Rev Chim (Bucharest), 2018, 69(6):1562–1565. https://doi.org/10.37358/ RC.18.6.6369 https://revistadechimie.ro/Articles.asp?ID=6369 [12] Kaur G, Sayegh ET, Larson A, Bloch O, Madden M, Sun MZ, Barani IJ, James CD, Parsa AT. Adjuvant radiotherapy for atypical and malignant meningiomas: a systematic review. Neuro Oncol, 2014, 16(5):628–636. https://doi.org/10.1093/ neuonc/nou025 PMID: 24696499 PMCID: PMC3984561 [13] Perry A, Gutmann DH, Reifenberger G. Molecular pathogenesis of meningiomas. J Neurooncol, 2004, 70(2):183–202. https:// doi.org/10.1007/s11060-004-2749-0 PMID: 15674477 [14] Andric M, Dixit S, Dubey A, Jessup P, Hunn A. Atypical meningiomas – a case series. Clin Neurol Neurosurg, 2012, 114(6):699–702. https://doi.org/10.1016/j.clineuro.2011.11.023 PMID: 22285882 [15] Bagshaw HP, Burt LM, Jensen RL, Suneja G, Palmer CA, Couldwell WT, Shrieve DC. Adjuvant radiotherapy for atypical meningiomas. J Neurosurg, 2017, 126(6):1822–1828. https:// doi.org/10.3171/2016.5.JNS152809 PMID: 27611201 [16] Champeaux C, Dunn L. World Health Organization grade II meningioma: a 10-year retrospective study for recurrence and prognostic factor assessment. World Neurosurg, 2016, 89: 180–186. https://doi.org/10.1016/j.wneu.2016.01.055 PMID: 26850975 [17] Stark AM, Buhl R, Mehdorn HM. Early gross recurrence of atypical meningioma. J Neurooncol, 2005, 75(2):223–224. https://doi.org/10.1007/s11060-005-2117-8 PMID: 16132505 [18] Costea CF, Cucu AI, Bogdănici CM, Scripcariu DV, Dumitrescu GF, Sava A, Ghiciuc CM, Tănase DM, Turliuc MD, Nicoară SD, Schmitzer S, Ciocoiu M, Dragomir RA, Turliuc Ş. The Myth of Prometheus in metastatic meningioma to the liver: from craniotomy to hepatectomy. Rom J Morphol Embryol, 2021, 62(2):351–359. https://doi.org/10.47162/RJME.62.2.01 PMID: 35024723 PMCID: PMC8848289 [19] Cucu AI, Turliuc DM, Costea CF, Costachescu B, Malaimare AE, Blaj LA, Trandafir V, Danca C, Poeata I. Pathways of metastatic spread in meningiomas. Rom Neurosurg, 2019, 33(1):12–16. https://doi.org/10.33962/roneuro-2019-002 https://journals.la pub.co.uk/index.php/roneurosurgery/article/view/324 [20] Cucu AI, Turliuc MD, Costea CF, Costăchescu B, Ghiciuc CM, Dobrovăţ B, Bogdănici CM, Tănase DM, Dumitrescu GF, Sava A, Poeată I. “The Silk Road” via subarachnoid cisterns: cerebrospinal fluid dissemination of meningiomas. Rom Neurosurg, 2019, 33(3):260–267. https://doi.org/10.33962/roneuro-2019043 https://journals.lapub.co.uk/index.php/roneurosurgery/article/ view/1176 [21] Detti B, Scoccianti S, Di Cataldo V, Monteleone E, Cipressi S, Bordi L, Pellicanò G, Gadda D, Saieva C, Greto D, Pecchioli G, Buccoliero A, Ceroti M, Ammannati F, Biti G. Atypical and malignant meningioma: outcome and prognostic factors in 68 irradiated patients. J Neurooncol, 2013, 115(3):421–427. https:// doi.org/10.1007/s11060-013-1239-7 PMID: 24045968 [22] Durand A, Labrousse F, Jouvet A, Bauchet L, Kalamaridès M, Menei P, Deruty R, Moreau JJ, Fèvre-Montange M, Guyotat J. WHO grade II and III meningiomas: a study of prognostic factors. J Neurooncol, 2009, 95(3):367–375. https://doi.org/ 10.1007/s11060-009-9934-0 PMID: 19562258 [23] Zaher A, Abdelbari Mattar M, Zayed DH, Ellatif RA, Ashamallah SA. Atypical meningioma: a study of prognostic factors. World Neurosurg, 2013, 80(5):549–553. https://doi.org/10.1016/j.wneu. 2013.07.001 PMID: 23871812 [24] Aghi MK, Carter BS, Cosgrove GR, Ojemann RG, AminHanjani S, Martuza RL, Curry WT Jr, Barker FG 2nd. Longterm recurrence rates of atypical meningiomas after gross total resection with or without postoperative adjuvant radiation. Neurosurgery, 2009, 64(1):56–60; discussion 60. https://doi. org/10.1227/01.NEU.0000330399.55586.63 PMID: 19145156 [25] Cucu AI, Costea CF, Turliuc MD, Dumitrescu GF, Sava A, Poeată I. Are there any correlations between demographic characteristics, tumor location, and Ki-67 labeling index in intracranial atypical meningiomas (WHO grade II)? Rom J Morphol Embryol, 2019, 60(2):567–572. PMID: 31658330 [26] Park HJ, Kang HC, Kim IH, Park SH, Kim DG, Park CK, Paek SH, Jung HW. The role of adjuvant radiotherapy in atypical meningioma. J Neurooncol, 2013, 115(2):241–247. https://doi.org/ 10.1007/s11060-013-1219-y PMID: 23949108 [27] Vranic A, Popovic M, Cör A, Prestor B, Pizem J. Mitotic count, brain invasion, and location are independent predictors of recurrence-free survival in primary atypical and malignant meningiomas: a study of 86 patients. Neurosurgery, 2010, 67(4):1124–1132. https://doi.org/10.1227/NEU.0b013e3181e b95b7 PMID: 20881577 [28] Cucu AI, Costea CF, Turliuc MD, Dascalu CG, Jitaru I, Dinu R, Dumitrescu G, Sava A, Dobrovat B, Bogdanici C, Andrei T, Stirban I, Poeata I. The tumour volume influence on tumour recurrence and progression-free survival in the case of atypical meningiomas: our experience on a series of 81 cases. Rom Neurosurg, 2020, 34(1):52–57. https://doi.org/10.33962/roneuro2020-027 https://journals.lapub.co.uk/index.php/roneurosurgery/ article/view/roneuro-2020-027 [29] Champeaux C, Wilson E, Shieff C, Khan AA, Thorne L. WHO grade II meningioma: a retrospective study for outcome and prognostic factor assessment. J Neurooncol, 2016, 129(2): 337–345. https://doi.org/10.1007/s11060-016-2181-2 PMID: 27311726 [30] Phonwijit L, Khawprapa C, Sitthinamsuwan B. Progression-free survival and factors associated with postoperative recurrence in 126 patients with atypical intracranial meningioma. World Neurosurg, 2017, 107:698–705. https://doi.org/10.1016/j.wneu. 2017.08.057 PMID: 28838877 [31] Wang YC, Chuang CC, Wei KC, Chang CN, Lee ST, Wu CT, Hsu YH, Lin TK, Hsu PW, Huang YC, Tseng CK, Wang CC, Chen YL, Chen PY. Long term surgical outcome and prognostic factors of atypical and malignant meningiomas. Sci Rep, 2016, 6:35743. https://doi.org/10.1038/srep35743 PMID: 27760993 PMCID: PMC5071760 [32] Hale AT, Wang L, Strother MK, Chambless LB. Differentiating meningioma grade by imaging features on magnetic resonance imaging. J Clin Neurosci, 2018, 48:71–75. https://doi.org/10. 1016/j.jocn.2017.11.013 PMID: 29174756 [33] Nowak A, Dziedzic T, Krych P, Czernicki T, Kunert P, Marchel A. Benign versus atypical meningiomas: risk factors predicting recurrence. Neurol Neurochir Pol, 2015, 49(1):1–10. https:// doi.org/10.1016/j.pjnns.2014.11.003 PMID: 25666766 [34] Nanda A, Bir SC, Konar S, Maiti T, Kalakoti P, Jacobsohn JA, Guthikonda B. Outcome of resection of WHO grade II meningioma Predictor factors for recurrence in atypical meningiomas and correlation of pathological and radiological predictive factors for recurrence. J Clin Neurosci, 2016, 31:112–121. https://doi.org/ 10.1016/j.jocn.2016.02.021 PMID: 27427214 [35] Cucu AI, Turliuc MD, Carauleanu A, Poeata I, Costea CF, Dumitrescu GF, Sava A. Chemical aspects of peritumoral cerebral edema in atypical meningiomas. Rev Chim (Bucharest), 2018, 69(10):2804–2807. https://doi.org/10.37358/RC.18.10. 6628 https://revistadechimie.ro/Articles.asp?ID=6628 [36] Gabeau-Lacet D, Aghi M, Betensky RA, Barker FG, Loeffler JS, Louis DN. Bone involvement predicts poor outcome in atypical meningioma. J Neurosurg, 2009, 111(3):464–471. https://doi.org/ 10.3171/2009.2.JNS08877 PMID: 19267533 PMCID: PMC 2845926 [37] Hammouche S, Clark S, Wong AHL, Eldridge P, Farah JO. Long-term survival analysis of atypical meningiomas: survival rates, prognostic factors, operative and radiotherapy treatment. Acta Neurochir (Wien), 2014, 156(8):1475–1481. https://doi. org/10.1007/s00701-014-2156-z PMID: 24965072 [38] Mair R, Morris K, Scott I, Carroll TA. Radiotherapy for atypical meningiomas. J Neurosurg, 2011, 115(4):811–819. https://doi. org/10.3171/2011.5.JNS11112 PMID: 21699480 [39] Cucu AI, Costea CF, Poeată I, Turliuc DM. Prognostic factors in atypical meningioma. Rom Neurosurg, 2017, 31(2):165–171. https://journals.lapub.co.uk/index.php/roneurosurgery/article/ view/987 [40] Guthoff R. Modellmessungen zur Volumenbestimmung des malignen Aderhautmelanoms [A model to measure the volume of choroidal melanomas]. Albrecht Von Graefes Arch Klin Exp Ophthalmol, 1980, 214(2):139–146. https://doi.org/10.1007/ BF00572792 PMID: 6906166 [41] Richtig E, Langmann G, Müllner K, Richtig G, Smolle J. Calculated tumour volume as a prognostic parameter for survival in choroidal melanomas. Eye (Lond), 2004, 18(6):619–623. https://doi.org/ 10.1038/sj.eye.6700720 PMID: 15184927 [42] Char DH, Kroll S, Phillips TL. Uveal melanoma. Growth rate and prognosis. Arch Ophthalmol, 1997, 115(8):1014–1018. https://doi.org/10.1001/archopht.1997.01100160184007 PMID: 9258223 [43] Simpson D. The recurrence of intracranial meningiomas after surgical treatment. J Neurol Neurosurg Psychiatry, 1957, 20(1): 22–39. https://doi.org/10.1136/jnnp.20.1.22 PMID: 13406590 PMCID: PMC497230 [44] Prat-Acín R, Guarín-Corredor MJ, Galeano-Senabre I, AyusoSacido A, Vera-Sempere F. Value of KI-67/MIB-1 labeling index and Simpson grading system to predict the recurrence of WHO grade I intracranial meningiomas compared to WHO grade II. J Clin Neurosci, 2021, 86:32–37. https://doi.org/10. 1016/j.jocn.2021.01.009 PMID: 33775343 [45] Marciscano AE, Stemmer-Rachamimov AO, Niemierko A, Larvie M, Curry WT, Barker FG 2nd, Martuza RL, McGuone D, Oh KS, Loeffler JS, Shih HA. Benign meningiomas (WHO grade I) with atypical histological features: correlation of histopathological features with clinical outcomes. J Neurosurg, 2016, 124(1):106–114. https://doi.org/10.3171/2015.1.JNS142228 PMID: 26274991 [46] Oya S, Kawai K, Nakatomi H, Saito N. Significance of Simpson grading system in modern meningioma surgery: integration of the grade with MIB-1 labeling index as a key to predict the recurrence of WHO grade I meningiomas. J Neurosurg, 2012, 117(1):121–128. https://doi.org/10.3171/2012.3.JNS111945 PMID: 22559847 [47] Lee SH, Lee EH, Sung KS, Kim DC, Kim YZ, Song YJ. Ki67 index is the most powerful factor for predicting the recurrence in atypical meningioma: retrospective analysis of 99 patients in two institutes. J Korean Neurosurg Soc, 2022, 65(4):558–571. https://doi.org/10.3340/jkns.2021.0196 PMID: 35418005 PMCID: PMC9271814 [48] Cucu AI, Cosman M, Dobrovat B, Dascalu C, Jitaru I, Sandu RB, Tudor A, Costea CF, Turliuc M, Dumitrescu G, Sava A, Poeata I. Meningioma in shape: can the appearance of tumour margins be considered as a prognostic factor? Rom Neurosurg, 2021, 35(2):135–142. https://doi.org/10.33962/roneuro-2021-021 https://journals.lapub.co.uk/index.php/roneurosurgery/article/ view/1936 [49] Brokinkel B, Hess K, Mawrin C. Brain invasion in meningiomas – clinical considerations and impact of neuropathological evaluation: a systematic review. Neuro Oncol, 2017, 19(10): 1298–1307. https://doi.org/10.1093/neuonc/nox071 PMID: 28419308 PMCID: PMC5596167 341 [50] Cucu AI, Costea CF, Poeată I, Costăchescu B, Dumitrescu GF, Sava A, Turliuc MD. Anatomical localization of atypical meningiomas: our experience on 81 patients. Med Surg J (Rev Med Chir Soc Med Nat Iaşi), 2018, 122(4):744–752, https://www.revmedchir.ro/index.php/revmedchir/article/view/ 1591 [51] Cucu AI, Costea CF, Turliuc MD, Ghiciuc CM, Costachescu B, Popescu R, Dumitrescu GF, Sava A, Tanase DM, ArboreSorete R, Poeata I. Anatomical localization of intracranial grade II meningiomas in North-Eastern Romania: our 25-years experience. Rom Neurosurg, 2019, 33(3):232–238. https:// doi.org/10.33962/roneuro-2019-039 https://journals.lapub.co. uk/index.php/roneurosurgery/article/view/1172 [52] Garzon-Muvdi T, Yang W, Lim M, Brem H, Huang J. Atypical and anaplastic meningioma: outcomes in a population based study. J Neurooncol, 2017, 133(2):321–330. https://doi.org/10. 1007/s11060-017-2436-6 PMID: 28429237 [53] Palma L, Celli P, Franco C, Cervoni L, Cantore G. Long-term prognosis for atypical and malignant meningiomas: a study of 71 surgical cases. Neurosurg Focus, 1997, 2(4):e3. https://doi. org/10.3171/foc.1997.2.4.6 PMID: 15096007 [54] Pisćević I, Villa A, Milićević M, Ilić R, Nikitović M, Cavallo LM, Grujičić D. The influence of adjuvant radiotherapy in atypical and anaplastic meningiomas: a series of 88 patients in a single institution. World Neurosurg, 2015, 83(6):987–995. https://doi. org/10.1016/j.wneu.2015.02.021 PMID: 25769488 [55] Talacchi A, Muggiolu F, De Carlo A, Nicolato A, Locatelli F, Meglio M. Recurrent atypical meningiomas: combining surgery and radiosurgery in one effective multimodal treatment. World Neurosurg, 2016, 87:565–572. https://doi.org/10.1016/j.wneu. 2015.10.013 PMID: 26485411 [56] Maiuri F, Donzelli R, Pagano S, Mariniello G. The management of the venous sinuses during surgery for posterior fossa meningiomas. World Neurosurg, 2019, 125:357–363. https:// doi.org/10.1016/j.wneu.2019.02.032 PMID: 30797929 [57] Clark VE, Harmancı AS, Bai H, Youngblood MW, Lee TI, Baranoski JF, Ercan-Sencicek AG, Abraham BJ, Weintraub AS, Hnisz D, Simon M, Krischek B, Erson-Omay EZ, Henegariu O, Carrión-Grant G, Mishra-Gorur K, Durán D, Goldmann JE, Schramm J, Goldbrunner R, Piepmeier JM, Vortmeyer AO, Günel JM, Bilgüvar K, Yasuno K, Young RA, Günel M. Recurrent somatic mutations in POLR2A define a distinct subset of meningiomas. Nat Genet, 2016, 48(10):1253–1259. https://doi. org/10.1038/ng.3651 PMID: 27548314 PMCID: PMC5114141 [58] Fernandez C, Nicholas MK, Engelhard HH, Slavin KV, Koshy M. An analysis of prognostic factors associated with recurrence in the treatment of atypical meningiomas. Adv Radiat Oncol, 2016, 1(2):89–93. https://doi.org/10.1016/j.adro.2016.03.001 PMID: 28740874 PMCID: PMC5506715 [59] Nakasu S, Nakasu Y, Nakajima M, Matsuda M, Handa J. Preoperative identification of meningiomas that are highly likely to recur. J Neurosurg, 1999, 90(3):455–462. https://doi.org/10. 3171/jns.1999.90.3.0455 PMID: 10067913 [60] Champeaux C, Houston D, Dunn L. Atypical meningioma. A study on recurrence and disease-specific survival. Neurochirurgie, 2017, 63(4):273–281. https://doi.org/10.1016/j.neuchi.2017.03. 004 PMID: 28882609 [61] Hanft S, Canoll P, Bruce JN. A review of malignant meningiomas: diagnosis, characteristics, and treatment. J Neurooncol, 2010, 99(3):433–443. https://doi.org/10.1007/s11060-010-0348-9 PMID: 20730473 [62] Streckert EMS, Hess K, Sporns PB, Adeli A, Brokinkel C, Kriz J, Holling M, Eich HT, Paulus W, Spille DC, van Eck ATCJ, Raleigh DR, McDermott MW, Stummer W, Brokinkel B. Clinical, radiological, and histopathological predictors for long-term prognosis after surgery for atypical meningiomas. Acta Neurochir (Wien), 2019, 161(8):1647–1656. https://doi.org/10.1007/s00 701-019-03956-8 PMID: 31147831 [63] Loewenstern J, Shuman W, Rutland JW, Kessler RA, Kohli KM, Umphlett M, Pain M, Bederson J, Fowkes M, Shrivastava RK. Preoperative and histological predictors of recurrence and survival in atypical meningioma after initial gross total resection. World Neurosurg, 2019, 128:e148–e156. https://doi.org/10.1016/j. wneu.2019.04.069 PMID: 30995555 [64] Masalha W, Heiland DH, Franco P, Delev D, Haaker JG, Schnell O, Scheiwe C, Grauvogel J. Atypical meningioma: progression-free survival in 161 cases treated at our institution with surgery versus surgery and radiotherapy. J Neurooncol, 342 Andrei Ionuţ Cucu et al. 2018, 136(1):147–154. https://doi.org/10.1007/s11060-0172634-2 PMID: 29081038 [65] Goyal LK, Suh JH, Mohan DS, Prayson RA, Lee J, Barnett GH. Local control and overall survival in atypical meningioma: a retrospective study. Int J Radiat Oncol Biol Phys, 2000, 46(1): 57–61. https://doi.org/10.1016/s0360-3016(99)00349-1 PMID: 10656373 [66] Jo K, Park HJ, Nam DH, Lee JI, Kong DS, Park K, Kim JH. Treatment of atypical meningioma. J Clin Neurosci, 2010, 17(11):1362–1366. https://doi.org/10.1016/j.jocn.2010.03.036 PMID: 20800497 [67] Yang SY, Park CK, Park SH, Kim DG, Chung YS, Jung HW. Atypical and anaplastic meningiomas: prognostic implications of clinicopathological features. J Neurol Neurosurg Psychiatry, 2008, 79(5):574–580. https://doi.org/10.1136/jnnp.2007.121582 PMID: 17766430 [68] Endo T, Narisawa A, Ali HSM, Murakami K, Watanabe T, Watanabe M, Jokura H, Endo H, Fujimura M, Sonoda Y, Tominaga T. A study of prognostic factors in 45 cases of atypical meningioma. Acta Neurochir (Wien), 2016, 158(9):1661–1667. https://doi.org/10.1007/s00701-016-2900-7 PMID: 27468919 [69] Hardesty DA, Wolf AB, Brachman DG, McBride HL, Youssef E, Nakaji P, Porter RW, Smith KA, Spetzler RF, Sanai N. The impact of adjuvant stereotactic radiosurgery on atypical meningioma recurrence following aggressive microsurgical resection. J Neurosurg, 2013, 119(2):475–481. https://doi.org/ 10.3171/2012.12.JNS12414 PMID: 23394332 [70] Lee KD, DePowell JJ, Air EL, Dwivedi AK, Kendler A, McPherson CM. Atypical meningiomas: is postoperative radiotherapy indicated? Neurosurg Focus, 2013, 35(6):E15. https://doi.org/10.3171/2013.9.FOCUS13325 PMID: 24289123 [71] Sun SQ, Kim AH, Cai C, Murphy RKJ, DeWees T, Sylvester P, Dacey RG, Grubb RL, Rich KM, Zipfel GJ, Dowling JL, Leuthardt EC, Leonard JR, Evans J, Simpson JR, Robinson CG, Perrin RJ, Huang J, Chicoine MR. Management of atypical cranial meningiomas, part 1: predictors of recurrence and the role of adjuvant radiation after gross total resection. Neurosurgery, 2014, 75(4):347–354; discussion 354–355; quiz 355. https:// doi.org/10.1227/NEU.0000000000000461 PMID: 24932707 [72] Sun SQ, Cai C, Murphy RK, DeWees T, Dacey RG, Grubb RL, Rich KM, Zipfel GJ, Dowling JL, Leuthardt EC, Leonard JR, Evans J, Simpson JR, Robinson CG, Perrin RJ, Huang J, Chicoine MR, Kim AH. Management of atypical cranial meningiomas, part 2: predictors of progression and the role of adjuvant radiation after subtotal resection. Neurosurgery, 2014, 75(4):356–363; discussion 363. https://doi.org/10.1227/ NEU.0000000000000462 PMID: 24932708 [73] Komotar RJ, Iorgulescu JB, Raper DMS, Holland EC, Beal K, Bilsky MH, Brennan CW, Tabar V, Sherman JH, Yamada Y, Gutin PH. The role of radiotherapy following gross-total resection of atypical meningiomas. J Neurosurg, 2012, 117(4):679–686. https://doi.org/10.3171/2012.7.JNS112113 PMID: 22920955 [74] Choi CYH, Soltys SG, Gibbs IC, Harsh GR, Jackson PS, Lieberson RE, Chang SD, Adler JR. Cyberknife stereotactic radiosurgery for treatment of atypical (WHO grade II) cranial meningiomas. Neurosurgery, 2010, 67(5):1180–1188. https:// doi.org/10.1227/NEU.0b013e3181f2f427 PMID: 20871435 [75] Jenkinson MD, Waqar M, Farah JO, Farrell M, Barbagallo GMV, McManus R, Looby S, Hussey D, Fitzpatrick D, Certo F, Javadpour M. Early adjuvant radiotherapy in the treatment of atypical meningioma. J Clin Neurosci, 2016, 28:87–92. https:// doi.org/10.1016/j.jocn.2015.09.021 PMID: 26775147 [76] Black PM. Meningiomas. Neurosurgery, 1993, 32(4):643–657. https://doi.org/10.1227/00006123-199304000-00023 PMID: 8474655 [77] Crompton MR, Gautier-Smith PC. The prediction of recurrence in meningiomas. J Neurol Neurosurg Psychiatry, 1970, 33(1): 80–87. https://doi.org/10.1136/jnnp.33.1.80 PMID: 5418182 PMCID: PMC493410 [78] Mirimanoff RO, Dosoretz DE, Linggood RM, Ojemann RG, Martuza RL. Meningioma: analysis of recurrence and progression following neurosurgical resection. J Neurosurg, 1985, 62(1):18– 24. https://doi.org/10.3171/jns.1985.62.1.0018 PMID: 3964853 [79] Cucu AI, Turliuc MD, Costea CF, Dascălu CG, Dumitrescu GF, Sava A, Turliuc Ş, Scripcariu DV, Poeată I. Tumor recurrence in parasagittal and falcine atypical meningiomas invading the superior sagittal sinus. Rom J Morphol Embryol, 2020, 61(2):385– 395. https://doi.org/10.47162/RJME.61.2.08 PMID: 33544790 PMCID: PMC7864307 [80] Murata J, Sawamura Y, Saito H, Abe H. Resection of a recurrent parasagittal meningioma with cortical vein anastomosis: technical note. Surg Neurol, 1997, 48(6):592–597; discussion 595–597. https://doi.org/10.1016/s0090-3019(97)00303-0 PMID: 9400641 [81] Marks SM, Whitwell HL, Lye RH. Recurrence of meningiomas after operation. Surg Neurol, 1986, 25(5):436–440. https://doi. org/10.1016/0090-3019(86)90081-9 PMID: 3961659 [82] Han MS, Kim YJ, Moon KS, Lee KH, Yang JI, Kang WD, Lim SH, Jang WY, Jung TY, Kim IY, Jung S. Lessons from surgical outcome for intracranial meningioma involving major venous sinus. Medicine (Baltimore), 2016, 95(35):e4705. https://doi.org/ 10.1097/MD.0000000000004705 PMID: 27583904 PMCID: PMC5008588 [83] Caroli E, Orlando ER, Mastronardi L, Ferrante L. Meningiomas infiltrating the superior sagittal sinus: surgical considerations of 328 cases. Neurosurg Rev, 2006, 29(3):236–241. https:// doi.org/10.1007/s10143-006-0020-1 PMID: 16607555 [84] Colli BO, Carlotti CG Jr, Assirati JA Jr, Dos Santos MBM, Neder L, Dos Santos AC. Parasagittal meningiomas: follow-up review. Surg Neurol, 2006, 66(Suppl 3):S20–S27; discussion S27–S28. https://doi.org/10.1016/j.surneu.2006.08.023 PMID: 17081848 Corresponding authors Şerban Turliuc, Associate Professor, MD, PhD, Department of Psychiatry, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania; Socola Institute of Psychiatry, 36 Bucium Highway, 700282 Iaşi, Romania; Phone +40374–770 477, e-mail: serban_turliuc@yahoo.com Georgiana Macovei, Associate Professor, MD, PhD, Department of Oral and Dental Diagnostics, Faculty of Dental Medicine, Grigore T. Popa University of Medicine and Pharmacy, 16 Universităţii Street, 700115 Iaşi, Romania; Phone +40740–202 301, e-mail: georgiana.macovei@umfiasi.ro Received: August 8, 2023 Accepted: September 25, 2023