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Petrella G, Piazza A, Fava A, Gorgoglione N, De Angelis M, Vangelista T, Morganti R, di Russo P, Esposito V. Parasagittal Meningiomas: The Impact of Sinus Opening and Grade of Resection on Clinical Outcome and Recurrence in a Consecutive Series of Patients. World Neurosurg 2024; 186:e683-e693. [PMID: 38608810 DOI: 10.1016/j.wneu.2024.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Surgical management of parasagittal meningiomas (PMs) remains controversial in the literature. The need to pursue a resection as radical as possible and the high risk of venous injuries contribute to making the sinus opening a widely argued choice. This study aimed to analyze factors affecting the risk of recurrence and to assess clinical outcomes of patients who underwent surgical resection of PMs with conservative or aggressive management of the intrasinusal portion. METHODS A single-institution retrospective review of all patients with PM surgically treated between January 2013 and March 2021 was conducted. RESULTS Among 56 patients, the sinus was opened in 32 patients (57%), and a conservative approach was used in 24 patients (43%). The sinus opening was found to be a predictive factor of radical resection (Simpson grade [SG] I-II) (P = 0.007). SG was the only predictive factor of recurrence (P < 0.001). The radical resection group (SG I-II) showed recurrence-free survival at 72 months of about 90% versus 30% in the non-radical resection group (SG III-IV) (log-rank test = 14.21, P < 0.001). Aggressive management of the sinus and radical resection were not found to be related to permanent deficit (P = 0.214 and P = 0.254) or worsening of Karnofsky performance scale score (P = 0.822 and P = 0.933). CONCLUSIONS Removal of the intrasinusal portion of the tumor using standard procedures is not associated with a higher risk of permanent deficit or worsening of Karnofsky performance scale and reduces the risk of recurrence.
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Affiliation(s)
- Giandomenico Petrella
- Department of Neurosurgery, I.R.C.C.S. Neuromed, Pozzilli, Italy; Department of Neurosurgery, Policlinico di Bari, Bari, Italy
| | - Amedeo Piazza
- Department of Neurosurgery, I.R.C.C.S. Neuromed, Pozzilli, Italy; University of Rome, Rome, Italy; Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy
| | - Arianna Fava
- Department of Neurosurgery, I.R.C.C.S. Neuromed, Pozzilli, Italy; University of Rome, Rome, Italy
| | | | | | | | - Riccardo Morganti
- Department of Clinical and Experimental Medicine, Section of Statistics, University of Pisa, Pisa, Italy
| | - Paolo di Russo
- Department of Neurosurgery, I.R.C.C.S. Neuromed, Pozzilli, Italy.
| | - Vincenzo Esposito
- Department of Neurosurgery, I.R.C.C.S. Neuromed, Pozzilli, Italy; University of Rome, Rome, Italy
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2
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Aung TM, Ngamjarus C, Proungvitaya T, Saengboonmee C, Proungvitaya S. Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis. PLoS One 2024; 19:e0303337. [PMID: 38758750 PMCID: PMC11101050 DOI: 10.1371/journal.pone.0303337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 04/23/2024] [Indexed: 05/19/2024] Open
Abstract
Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.
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Affiliation(s)
- Tin May Aung
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | - Chetta Ngamjarus
- Department of Epidemiology and Biostatistics, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand
| | - Tanakorn Proungvitaya
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | - Charupong Saengboonmee
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Siriporn Proungvitaya
- Centre of Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
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3
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Chen J, Xue Y, Ren L, Lv K, Du P, Cheng H, Sun S, Hua L, Xie Q, Wu R, Gong Y. Predicting meningioma grades and pathologic marker expression via deep learning. Eur Radiol 2024; 34:2997-3008. [PMID: 37853176 DOI: 10.1007/s00330-023-10258-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 07/05/2023] [Accepted: 07/15/2023] [Indexed: 10/20/2023]
Abstract
OBJECTIVES To establish a deep learning (DL) model for predicting tumor grades and expression of pathologic markers of meningioma. METHODS A total of 1192 meningioma patients from two centers who underwent surgical resection between September 2018 and December 2021 were retrospectively included. The pathological data and post-contrast T1-weight images for each patient were collected. The patients from institute I were subdivided into training, validation, and testing sets, while the patients from institute II served as the external testing cohort. The fine-tuned ResNet50 model based on transfer learning was adopted to classify WHO grade in the whole cohort and predict Ki-67 index, H3K27me3, and progesterone receptor (PR) status of grade 1 meningiomas. The predictive performance was evaluated by the accuracy and loss curve, confusion matrix, receiver operating characteristic curve (ROC), and area under curve (AUC). RESULTS The DL prediction model for each label achieved high predictive performance in two cohorts. For WHO grade prediction, the area under the curve (AUC) was 0.966 (95%CI 0.957-0.975) in the internal testing set and 0.669 (95%CI 0.643-0.695) in the external validation cohort. The AUC in predicting Ki-67 index, H3K27me3, and PR status were 0.905 (95%CI 0.895-0.915), 0.773 (95%CI 0.760-0.786), and 0.771 (95%CI 0.750-0.792) in the internal testing set and 0.591 (95%CI 0.562-0.620), 0.658 (95%CI 0.648-0.668), and 0.703 (95%CI 0.674-0.732) in the external validation cohort, respectively. CONCLUSION DL models can preoperatively predict meningioma grades and pathologic marker expression with favorable predictive performance. CLINICAL RELEVANCE STATEMENT Our DL model could predict meningioma grades and expression of pathologic markers and identify high-risk patients with WHO grade 1 meningioma, which would suggest a more aggressive operative intervention preoperatively and a more frequent follow-up schedule postoperatively. KEY POINTS WHO grades and some pathologic markers of meningioma were associated with therapeutic strategies and clinical outcomes. A deep learning-based approach was employed to develop a model for predicting meningioma grades and the expression of pathologic markers. Preoperative prediction of meningioma grades and the expression of pathologic markers was beneficial for clinical decision-making.
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Affiliation(s)
- Jiawei Chen
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China
| | - Yanping Xue
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China
| | - Leihao Ren
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China
| | - Kun Lv
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Peng Du
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Haixia Cheng
- Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shuchen Sun
- Department of Neurosurgery, Shanghai International Hospital, Shanghai, China
- Department of Neurosurgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingyang Hua
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China
| | - Qing Xie
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China.
| | - Ruiqi Wu
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China.
| | - Ye Gong
- Department of Neurosurgery of Huashan Hospital, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science and Institutes of Brain Science, Fudan University, Shanghai, China.
- Department of Critical Care Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
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4
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Cello G, Patel RV, McMahon JT, Santagata S, Bi WL. Impact of H3K27 trimethylation loss in meningiomas: a meta-analysis. Acta Neuropathol Commun 2023; 11:122. [PMID: 37491289 PMCID: PMC10369842 DOI: 10.1186/s40478-023-01615-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 07/06/2023] [Indexed: 07/27/2023] Open
Abstract
Trimethylation of lysine 27 on histone 3 (H3K27me3) loss has been implicated in worse prognoses for patients with meningiomas. However, there have been challenges in measuring H3K27me3 loss, quantifying its impact, and interpreting its clinical utility. We conducted a systematic review across Pubmed, Embase, and Web of Science to identify studies examining H3K27me3 loss in meningioma. Clinical, histopathological, and immunohistochemistry (IHC) characteristics were aggregated. A meta-analysis was performed using a random-effects model to assess prevalence of H3K27me3 loss and meningioma recurrence risk. Study bias was characterized using the NIH Quality Assessment Tool and funnel plots. Nine publications met inclusion criteria with a total of 2376 meningioma cases. The prevalence of H3K27me3 loss was 16% (95% CI 0.09-0.27), with higher grade tumors associated with a significantly greater proportion of loss. H3K27me3 loss was more common in patients who were male, had recurrent meningiomas, or required adjuvant radiation therapy. Patients were 1.70 times more likely to have tumor recurrence with H3K27me3 loss (95% CI 1.35-2.15). The prevalence of H3K27me3 loss in WHO grade 2 and 3 meningiomas was found to be significantly greater in tissue samples less than five years old versus tissue of all ages and when a broader definition of IHC staining loss was applied. This analysis demonstrates that H3K27me3 loss significantly associates with more aggressive meningiomas. While differences in IHC and tumor tissue age have led to heterogeneity in studying H3K27me3 loss, a robust prognostic signal is present. Our findings suggest an opportunity to improve study design and standardize tissue processing to optimize clinical viability of this epigenetic marker.
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Affiliation(s)
- Gregory Cello
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Ruchit V Patel
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James Tanner McMahon
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sandro Santagata
- Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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5
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Ren L, Hua L, Bao Z, Deng J, Wang D, Chen J, Chen H, Juratli TA, Wakimoto H, Gong Y. Distinct clinical outcome of microcystic meningioma as a WHO grade 1 meningioma subtype. J Neurooncol 2023; 161:193-202. [PMID: 35612696 DOI: 10.1007/s11060-022-04034-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To evaluate the clinicopathological characteristics, radiology, and long-term outcomes of microcystic meningiomas (MM) and compare it with other subtypes of meningiomas managed at a single neurosurgical center. METHODS A total of 87 consecutive patients who underwent surgical resection and were diagnosed as MM between 2005 and 2016 were enrolled for analysis. Clinicopathological, radiology, and prognostic information was collected and analyzed. Progression free survival (PFS) was compared with 659 patients with other subtypes of WHO grade 1 meningiomas and 167 patients with atypical meningiomas treated during the same period. RESULTS Fifty six females and 31 males with MM were analyzed. Peri-tumor brain edema was frequent on T2 WI (85%).12 patients (13.8%) experienced tumor progression during the mean follow-up of 101.66 ± 40.92 months. The median PFS was unavailable, and the 5, 10, and 15 year progression-free rates were 96.9%, 84.0%, and 73.9%, respectively. Univariate COX analysis demonstrated skull base location and higher Ki-67 index as significant negative prognostic factors for PFS (P < 0.05); multivariate analysis identified tumor location and Ki-67 index as independent factors (P < 0.01), as well. Of note, the PFS of MM was worse than other WHO grade 1 subtypes (P < 0.001), but better than atypical meningiomas (P < 0.001), and the PFS differences were retained even when the analysis was limited to the patients receiving GTR (P < 0.05). CONCLUSION The PFS of MM was worse than other WHO grade 1 subtypes and better than atypical meningiomas. Skull base location and higher Ki-67 index were independent negative prognostic factors in MM.
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Affiliation(s)
- Leihao Ren
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Lingyang Hua
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Zhongyuan Bao
- Department of Neurosurgery, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jiaojiao Deng
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Daijun Wang
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Jiawei Chen
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China
| | - Hong Chen
- Department of Pathology, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China
| | - Tareq A Juratli
- Department of Neurosurgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
| | - Ye Gong
- Department of Neurosurgery, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China. .,Institute of Neurosurgery, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China. .,Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China. .,Department of Critical Care Medicine, Shanghai Medical College, Huashan Hospital, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.
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6
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Zabolotny RV, Kozlov AV, Galkin MV, Cherekaev VA, Kadasheva AB, Golanov AV, Strunina YV. [Comparison of methods of treatment of meningiomas invading the superior sagittal sinus]. ZHURNAL VOPROSY NEIROKHIRURGII IMENI N. N. BURDENKO 2023; 87:69-77. [PMID: 37830471 DOI: 10.17116/neiro20238705169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
There are various approaches to the treatment of patients with parasagittal meningiomas. OBJECTIVE To optimize treatment strategy for meningiomas invading the superior sagittal sinus. MATERIAL AND METHODS The study included 87 patients with benign parasagittal meningiomas between 2010 and 2012. Of these, 34 patients underwent surgery alone, 27 - radiotherapy, 26 - surgery and subsequent radiotherapy. Both groups were comparable in male-to-female ratio, age and localization of tumors in relation to superior sagittal sinus. The follow-up period was at least 5 years. We analyzed the effect of treatment on neurological status, Karnofsky score and tumor growth control. RESULTS Mean volume of tumors was 43.3 cm3 in patients undergoing surgery and 6.7 cm3 in the radiotherapy group. In the combined treatment group, mean volume was 65.8 cm3 before surgery and 8.8 cm3 before irradiation. General cerebral symptoms (84%), epileptic seizures (37%) and movement disorders (31%) prevailed. Surgery provided the best results in patients with small meningiomas (<14 cm3) causing focal neurological symptoms. Isolated radiotherapy was the most effective in asymptomatic patients. Large tumors required surgery with adjuvant irradiation. CONCLUSION Benign parasagittal meningiomas followed by focal neurological symptoms require surgical intervention regarding the best functional outcomes and tumor growth control. Radiotherapy without surgery is advisable for progressive asymptomatic tumors. Resection followed by irradiation is preferable if total resection without the risk of damage to veins and cortex is impossible.
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Affiliation(s)
- R V Zabolotny
- Moscow Multi-field Clinical Center «Kommunarka», Moscow, Russia
| | - A V Kozlov
- Burdenko Neurosurgical Center, Moscow, Russia
| | - M V Galkin
- Burdenko Neurosurgical Center, Moscow, Russia
| | | | | | - A V Golanov
- Burdenko Neurosurgical Center, Moscow, Russia
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7
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Hua L, Ren L, Wu Q, Deng J, Chen J, Cheng H, Wang D, Chen H, Xie Q, Wakimoto H, Gong Y. Loss of H3K27me3 expression enriches in recurrent grade 1&2 meningiomas and maintains as a biomarker stratifying progression risk. J Neurooncol 2023; 161:267-275. [PMID: 36329368 DOI: 10.1007/s11060-022-04169-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Abstract
PURPOSE To determine if loss of H3K27me3 could predict higher risk of re-recurrence in recurrent meningiomas. METHODS A retrospective, single-center cohort study was performed for patients who underwent resection of recurrent grade 1 (N = 132) &2 (N = 32) meningiomas from 2009 to 2013. Association of H3K27me3 staining and clinical parameters was analyzed. Additionally, H3K27me3 staining was performed from 45 patients whose tumors recurred and were resected during the follow-up, to evaluate H3K27me3 change during tumor progression. Survival analysis was performed as well. RESULTS Loss of H3K27me3 expression was observed in 83 patients, comprising 63 grade 1 (47.7%) and 20 grade 2 patients (62.5%). Both grade 1 (p < 0.001) and grade 2 recurrent meningiomas (p < 0.001) had a higher frequency of H3K27me3 loss, compared to de novo meningiomas. 8 of 27 tumors with retained H3K27me3 lost H3K27me3 during re-recurrence (29.6%), while no gain of H3K27me3 was observed in progressive disease from 18 tumors with H3K27me3 loss. Loss of H3K27me3 expression was associated with an earlier re-recurrence in recurrent meningiomas grade 1 and 2 (p < 0.001), and was an independent prognostic factor for PFS in recurrent grade 1 meningiomas (p = 0.005). CONCLUSION Compared to primary meningiomas, recurrent meningiomas more predominantly had loss of H3K27me3 expression, and further loss can occur during the progression of recurrent tumors. Our results further demonstrated that loss of H3K27me3 predicted shorter PFS in recurrent grade 1 and grade 2 meningiomas. Our work thus supports clinical testing of H3K27me3 in recurrent meningiomas WHO grade 1 and 2.
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Affiliation(s)
- Lingyang Hua
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Leihao Ren
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Qian Wu
- Department of Pathology, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiaojiao Deng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Jiawei Chen
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Haixia Cheng
- Department of Pathology, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China
| | - Daijun Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Hong Chen
- Department of Pathology, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China
| | - Qing Xie
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.,National Center for Neurological Disorders, Shanghai, China.,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China.,Neurosurgical Institute, Fudan University, Shangha, China.,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ye Gong
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China. .,National Center for Neurological Disorders, Shanghai, China. .,Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China. .,Neurosurgical Institute, Fudan University, Shangha, China. .,Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China. .,Department of Critical Care Medicine, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China. .,Department of Neurosurgery, Department of Critical Care Medicine, Huashan Hospital, Shanghai Medical College, Fudan University, 12# Middle Wulumuqi Road, Jingan District, Shanghai, 200040, China.
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8
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Ren L, Cheng H, Chen J, Deng J, Wang D, Xie Q, Wakimoto H, Hua L, Gong Y. Progesterone receptor expression and prediction of benefits of adjuvant radiotherapy in de novo atypical meningiomas after gross-total resection. J Neurosurg 2022:1-10. [DOI: 10.3171/2022.9.jns221530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 09/22/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE
Benefits of adjuvant radiotherapy (ART) after gross-total resection (GTR) of de novo atypical meningiomas (AMs) are controversial, and factors predictive of radiotherapy benefits in patients with de novo AMs after GTR are unknown. The authors aimed to evaluate the benefits of ART and explore potential factors sensitizing AMs to ART.
METHODS
A total of 231 consecutive patients who were pathologically diagnosed with de novo AMs and treated with GTR (Simpson class I–III resections) from 2010 to 2018 were enrolled in the study. Clinicopathological and prognostic information was collected and analyzed. Univariate and multivariate Cox analyses were used to evaluate prognostic predictors and compare the response to radiotherapy. Propensity score matching (PSM) was used to balance the confounding bias in subgroups.
RESULTS
A total of 138 patients (59.74%) received ART. Progesterone receptor (PR) expression was positive in 157 patients (67.97%). During the mean follow-up period of 76.25 months, 65 patients (28.14%) experienced recurrence and 38 (16.45%) died of tumor progression. For disease-specific survival (DSS), ART was a better prognostic factor via univariate (p = 0.003) and multivariate (p = 0.025) analyses. For progression-free survival (PFS), univariate Cox analysis showed that ART improved PFS (p = 0.013), but multivariate analysis did not (p = 0.068). Positive PR expression (p = 0.019), age 53.5 years or younger (p = 0.012), and Ki-67 7.5% or lower (p = 0.025) were independent prognostic predictors for better PFS. In the subcohort analysis, the beneficial impact of ART was observed in the PR-negative cohort (p = 0.002) but not in the PR-positive cohort (p = 0.86). The heterogeneity analysis demonstrated that the PR-negative cohort was more sensitive to ART than the PR-positive cohort (p = 0.036). ART was not found to be associated with better PFS in younger patients (≤ 53.5 years, p = 0.14), older patients (> 53.5 years, p = 0.085), those with a Ki-67 index ≤ 7.5% (p = 0.068), or those with a Ki-67 > 7.5% (p = 0.13). The contrasting effects of ART in the PR-negative versus PR-positive cohorts remained true even after PSM, confirming that PR-negative, but not PR-positive, de novo AMs benefited from ART after GTR.
CONCLUSIONS
ART was an independent prognostic factor for DSS of patients with de novo AMs treated with GTR (p = 0.025), but not for PFS (p = 0.068). Negative PR expression was a radiosensitive biomarker on PFS for de novo AM patients after GTR.
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Affiliation(s)
- Leihao Ren
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | | | - Jiawei Chen
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | - Jiaojiao Deng
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | - Daijun Wang
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | - Qing Xie
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | - Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Lingyang Hua
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
| | - Ye Gong
- Departments of Neurosurgery,
- Institute of Neurosurgery, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Fudan University, Shanghai, China; and
- Pathology, and
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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9
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Lu VM, Luther EM, Eichberg DG, Morell AA, Shah AH, Komotar RJ, Ivan ME. The emerging relevance of H3K27 trimethylation loss in meningioma: A systematic review of recurrence and overall survival with meta-analysis. World Neurosurg 2022; 163:87-95.e1. [DOI: 10.1016/j.wneu.2022.04.048] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/11/2022] [Indexed: 11/30/2022]
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10
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Zhang L, Zhou Y, Wu B, Zhang S, Zhu K, Liu CH, Yu X, Alfano RR. Intraoperative detection of human meningioma using a handheld visible resonance Raman analyzer. Lasers Med Sci 2021; 37:1311-1319. [PMID: 34365551 DOI: 10.1007/s10103-021-03390-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/23/2021] [Indexed: 10/20/2022]
Abstract
To report for the first time the preliminary results for the evaluation of a VRR-LRR™ analyzer based on visible resonance Raman technique to identify human meningioma grades and margins intraoperatively. Unprocessed primary and recurrent solid human meningeal tissues were collected from 33 patients and underwent Raman analysis during surgeries. A total of 1180 VRR spectra were acquired from fresh solid tissues using a VRR-LRR™ analyzer. A confocal HR Evolution (HORIBA, France SAS) Raman system with 532-nm excitation wavelength was also used to collect data for part of the ex vivo samples after they were thawed from - 80 °C for comparison. The preliminary analysis led to the following observations. (1) The intensity ratio of VRR peaks of protein to fatty acid (I2934/I2888) decreased with the increase of meningioma grade. (2) The ratio of VRR peaks of phosphorylated protein to amid I (I1588/I1639) decreased for the higher grade of meningioma. (3) Three RR vibration modes at 1378, 3174, and 3224 cm-1 which were related to the molecular vibrational bands of oxy-hemeprotein, amide B, and amide A protein significantly changed in peak intensities in the two types of meningioma tissues compared to normal tissue. (4) The changes in the intensities of VRR modes of carotenoids at 1156 and 1524 cm-1 were also found in the meningioma boundary. The VRR-LRR™ analyzer demonstrates a new approach for label-free, rapid, and objective identification of primary human meningioma in quasi-clinical settings. The accuracy for detecting meningioma tissues using support vector machines (SVMs) was over 70% based on Raman peaks of key biomolecules and up to 100% using principal component analysis (PCA).
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Affiliation(s)
- Liang Zhang
- Medical School of Nankai University, Tianjin, 300071, China.,Department of Neurosurgery, General Hospital, Beijing, 100853, China
| | - Yan Zhou
- Department of Neurosurgery, Air Force Medical Center, Beijing, 100142, China
| | - Binlin Wu
- Physics Department and CSCU Center for Nanotechnology, Southern Connecticut State University, New Haven, CT, 06515, USA
| | | | - Ke Zhu
- Institute of Physics, Chinese Academy of Sciences (CAS), PO Box 603, Beijing, 100190, China
| | - Cheng-Hui Liu
- Institute for Ultrafast Spectroscopy and Lasers, Department of Physics, The City College of the City University of New York, NY, 10031, New York, USA
| | - Xinguang Yu
- Medical School of Nankai University, Tianjin, 300071, China. .,Department of Neurosurgery, General Hospital, Beijing, 100853, China.
| | - Robert R Alfano
- Institute for Ultrafast Spectroscopy and Lasers, Department of Physics, The City College of the City University of New York, NY, 10031, New York, USA
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11
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Long-term outcome of Simpson IV meningioma resection: Would it improve with adjuvant SRS? Clin Neurol Neurosurg 2021; 207:106766. [PMID: 34166979 DOI: 10.1016/j.clineuro.2021.106766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVE Subtotal meningioma resection (STR) is often performed to minimize surgical morbidity. Nevertheless, only a few studies have reported on patient outcome after STR. We studied the long-term outcome of SIV (Simpson grade IV) resection and identified predictive factors of overall survival (OS), progression-free survival (PFS) and time to progression (TTP). METHODS A retrospective analysis was performed on 68 patients who underwent SIV resection of meningioma (grade I) from 2004 to 2010. Data were collected from clinical, surgical and pathology records and radiological imaging. Long-term outcomes were evaluated at least 10 years after surgery. RESULTS Permanent morbidity was 11.8%, 30-day mortality 2.9% and progression rate 50.0% for a median follow-up duration of 126.6 months. Median TTP was 86.2 months. Adjuvant SRS was the only significant factor associated with longer PFS (p = 0.0052) and TTP (p = 0.0079). Higher age (p = 0.0022), KPS (p = 0.0182), postoperative ECOG score (p = 0.0182) were reliable predictors of shortened OS and aSRS (p = 0.0445) was reliable predictor of longer OS. CONCLUSION STR in intracranial meningioma is still viable and often the only treatment option available in high-risk patients or high-risk tumors. Although surgical morbidity and mortality are high, the OS rate was 85.3% at 5 years and 79.4% at 10 years. Because of the considerable progression rate and rather a long term OS the adjuvant SRS should be considered following SIV resection.
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12
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Jeltema HR, Jansen MR, Potgieser ARE, van Asselt ADI, Heesters MAAM, van de Hoorn A, Glaudemans AWJM, van Dijk JMC. Study on intracranial meningioma using PET ligand investigation during follow-up over years (SIMPLIFY). Neuroradiology 2021; 63:1791-1799. [PMID: 33694025 PMCID: PMC8528767 DOI: 10.1007/s00234-021-02683-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 03/01/2021] [Indexed: 11/24/2022]
Abstract
Purpose Radiologic follow-up of patients with a meningioma at the skull base or near the venous sinuses with magnetic resonance imaging (MRI) after stereotactic radiotherapy (SRT) and neurosurgical resection(s) can be difficult to interpret. This study evaluates the addition of 11C-methionine positron emission tomography (MET-PET) to the regular MRI follow-up. Methods This prospective pilot study included patients with predominantly WHO grade I meningiomas at the skull base or near large vascular structures. Previous SRT was part of their oncological treatment. A MET-PET in adjunct to their regular MRI follow-up was performed. The standardized uptake value (SUV) was determined for the tumor and the healthy brain, on the pre-SRT target delineation MET-PET and the follow-up MET-PET. Tumor-to-normal ratios were calculated, and 11C-methionine uptake over time was analyzed. Agreement between the combined MRI/MET-PET report and the MRI-only report was determined using Cohen’s κ. Results Twenty patients with stable disease underwent an additional MET-PET, with a median follow-up of 84 months after SRT. Post-SRT SUV T/N ratios ranged between 2.16 and 3.17. When comparing the pre-SRT and the post-SRT MET-PET, five categories of SUV T/N ratios did not change significantly. Only the SUVpeak T/Ncortex decreased significantly from 2.57 (SD 1.02) to 2.20 (SD 0.87) [p = 0.004]. A κ of 0.77 was found, when comparing the MRI/MET-PET report to the MRI-only report, indicating no major change in interpretation of follow-up data. Conclusion In this pilot study, 11C-methionine uptake remained remarkably high in meningiomas with long-term follow-up after SRT. Adding MET-PET to the regular MRI follow-up had no impact on the interpretation of follow-up imaging.
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Affiliation(s)
- Hanne-Rinck Jeltema
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700RB, Groningen, the Netherlands.
| | - Marnix R Jansen
- Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Adriaan R E Potgieser
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700RB, Groningen, the Netherlands
| | - Antoinette D I van Asselt
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Mart A A M Heesters
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Anouk van de Hoorn
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andor W J M Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - J Marc C van Dijk
- Department of Neurosurgery, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30.001, 9700RB, Groningen, the Netherlands
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