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Academic literature on the topic 'Meningioma tumors'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Meningioma tumors"

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Yamazaki, Shintaro, Fumiharu Ohka, Masaki Hirano, Yukihiro Shiraki, Kazuya Motomura, Kuniaki Tanahashi, Takashi Tsujiuchi, et al. "TB-2 Patient-derived meningioma organoid model demonstrates FOXM1 dependent tumor proliferation." Neuro-Oncology Advances 3, Supplement_6 (December 1, 2021): vi5—vi6. http://dx.doi.org/10.1093/noajnl/vdab159.020.

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Abstract Recent comprehensive studies have revealed several molecular alterations that are frequently found in meningiomas. However, effective treatment reagents targeting specific molecular alterations have not yet been identified because of the limited number of representative research models of meningiomas. We established 18 organoid models comprising of two malignant meningioma cells (HKBMM and IOMM-Lee), 10 benign meningiomas, four malignant meningiomas, and two solitary fibrous tumors (SFTs). Using immunohistochemistry and molecular analyses consisting of whole exome sequencing, RNA-seq, and DNA methylation analyses, we compared the histological findings and molecular profiling of organoid models with those of parental tumors. The organoids exhibited consistent histological features and molecular profiles with those of the parental tumors. Using a public database of meningioma, we identified that upregulated forkhead box M1 (FOXM1) was correlated with increased tumor proliferation. Overexpression of FOXM1 in benign meningioma organoids increased organoid proliferation; depletion of FOXM1 in malignant organoids decreased proliferation. Additionally, thiostrepton, a FOXM1 inhibitor combined with radiation therapy, significantly inhibited proliferation of malignant meningioma organoid models (P<0.01). An organoid model for meningioma enabled us to elucidate the tumor biology of meningioma along with potent treatment targets for meningioma.
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McCutcheon, Ian E., Keith E. Friend, Tammy M. Gerdes, Bing-Mei Zhang, David M. Wildrick, and Gregory N. Fuller. "Intracranial injection of human meningioma cells in athymic mice: an orthotopic model for meningioma growth." Journal of Neurosurgery 92, no. 2 (February 2000): 306–14. http://dx.doi.org/10.3171/jns.2000.92.2.0306.

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Object. Although human meningioma cells have been heterotopically implanted in nude mice, introducing these cells into intracranial locations seems more likely to reproduce normal patterns of tumor growth. To provide an orthotopic xenograft model of meningioma, the authors implanted a controlled quantity of meningioma cells at subdural and intracerebral sites in athymic mice.Methods. Malignant (one tumor), atypical (two tumors), or benign (three tumors) meningiomas were placed into primary cell cultures. Cells (106/10 µl) from these cultures and from an immortalized malignant meningioma cell line, IOMM-Lee, were injected with stereotactic guidance into the frontal white matter or subdural space of athymic mice. Survival curves were plotted for mice receiving tumor cells of each histological type and according to injection site. Other mice were killed at intervals and their heads were sectioned whole. Hematoxylin and eosin staining of these sections revealed the extent of tumor growth.Conclusions. The median length of survival for mice with malignant, atypical, or benign tumors was 19, 42, or longer than 84 days, respectively. Atypical and malignant tumors were invasive, but did not metastasize extracranially. Malignant tumors uniformly showed leptomeningeal dissemination and those implanted intracerebrally grew locally and spread noncontiguously to the ventricles, choroid plexus, convexities, and skull base. Tumors formed in only 50% of mice injected with benign meningioma cells, whereas injection of more aggressive cells was uniformly successful at tumor production. The three types of human meningiomas grown intracranially in athymic mice maintained their relative positions in the spectrum of malignancy. However, atypical meningiomas became more aggressive after xenografting and acquired malignant features, implying that there had been immune constraint in the original host. Tumor cells injected into brain parenchyma migrated to more optimal environments and grew best there. This model provides insights into the biology of meningiomas and may be useful for testing new therapies.
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Maxwell, Marius, Sarah D. Shih, Theofanis Galanopoulos, E. Tessa Hedley-Whyte, and G. Rees Cosgrove. "Familial meningioma: analysis of expression of neurofibromatosis 2 protein Merlin." Journal of Neurosurgery 88, no. 3 (March 1998): 562–69. http://dx.doi.org/10.3171/jns.1998.88.3.0562.

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✓ Meningiomas are primarily benign brain tumors thought to arise through multistep tumorigenesis, involving both the activation of oncogenes and the loss of tumor suppressor genes. The recently isolated neurofibromatosis 2 (NF2) tumor suppressor gene has been found to be mutated in a large proportion of meningiomas. Almost all cases of familial meningioma occur in association with NF2. Familial meningioma in isolation from NF2 (sporadic) is exceedingly rare, with only 14 reports since 1959. The authors report the existence of a family lacking any stigmata of NF2, in which two members had spinal meningiomas. Tumor specimens were subjected to immunocytochemical analysis for the NF2 protein product Merlin, which has been implicated in the tumorigenesis of meningioma. Merlin immunoreactivity was present in both tumor specimens, implying that the NF2 tumor suppressor gene was not deleted in these tumors. This supports the hypothesis that a second tumor suppressor gene locus, other than NF2, acts in the formation of familial sporadic meningioma. The results are discussed in the context of putative oncogenic mechanisms of familial meningiomas.
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Iacob, G., and M. Craciun. "Atypical meningioma." Romanian Neurosurgery 19, no. 3 (November 9, 2012): 203–9. http://dx.doi.org/10.2478/v10282-012-0010-5.

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Abstract Objective: Atypical meningioma are an intermediate group of meningiomas, exhibiting less favourable biological behavior than classic benign tumours, but a relatively more favourable biological behavior than definitive malignant meningiomas. Subject of controversy, atypia in meningioma still generate discordance between accurate criteria defining malignancy and biological behavior, prediction of recurrence. Methods: This retrospective study intend to evaluate diagnosis on clinical and pathological data, treatment trends and early outcomes for 6 cases with atypical meningiomas occuring in 63 patients operated for benign meningioma in the last 5 years in our clinic between 2006-2011. All patients were explored CT, MRI, preoperative selective angiography and in all cases the WHO 2000 classification criteria were used to define atypical meningioma Results: Between 2006-2011 we operated 6 atypical meningioma of 63 benign meningiomas (9,52%). Tumor sites in the patients were: parasagittal (3 cases), convexity (2 cases), spheno-cavernous (1 case). All patients were operated and dural graft was done to all cases. The extent of surgical resection was Simpson’s grade 1 in 2 cases and Simpson’s grade 2 in four cases, to which radiation was administered after the first surgery with a dose ranging from 52-62 Gy. Regrowth (enlargement of tumour after subtotal resection) was noticed in 2 irradiated cases: one case after 2 years after the first operation, the patient was again operated - pathological diagnosis was malignant meningioma; in another case after 3 years, at operation it was the atypical meningioma. No chemotherapy was used in our cases. Conclusions: Atypical meningiomas are rare tumors, grow more rapidely, the diagnosis age ≥ 60 years, several histological criteria can define accurate identification to understand the biology of this group of tumors. Heterogenous contrast enhancement with marked peritumoral edema in neuroimaging are important; cerebral edema has prognostic value and should encourage fundamental and farmacologic research using anti VEGF and somatostatine analogs treatments. Surgery (Simpson grade 1) referring both tumor and dural implant area should be done de novo but also for recurrencies. Radiotherapy still are controversial without proven benefit and chemotherapy without statistic argues to improve quality of life.
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Sharifi, Guive, Mahmoud Lotfinia, Mahmoud Omidbeigi, Sina Asaadi, and Farahnaz Bidari Zerehpoosh. "Meningothelial meningioma of the oculomotor nerve: A case report and review of the literature." Surgical Neurology International 11 (October 2, 2020): 314. http://dx.doi.org/10.25259/sni_312_2020.

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Background: The origin of meningioma tumors is known as the meningothelial or arachnoid cap cells. The arachnoid granulations or villi are concentrated along with the dural venous sinuses in the cerebral convexity, parasagittally, and sphenoid wing regions. The majority of meningiomas are found in these locations with dural attachment. Infrequently, meningiomas develop without dural attachment but in dural adjacent. There are numerous reports of patients with cranial nerve involvement as a result of the compressive effect of the sinus cavernous or adjacent structures meningioma tumor on the cranial nerve. Case Description: In this study, we reviewed all reports of patients with third nerve involvement as a result of meningioma tumors in addition to the introduction of a new case. We present a 47-year-old woman presented with headache, diplopia, and ptosis. A gadolinium-enhanced mass on anterolateral of the left cerebral peduncle with no dural attachment was suggesting for Schwannoma at preoperative imaging. An adhesive 10 × 5 × 4 mm meningothelial meningioma arising from the oculomotor nerve was resected. Conclusion: The findings of this review suggest that there may be other mechanisms as the origin of meningiomas tumors. It is crucial to take into account origination mechanisms of meningioma using ectopic meningiomas due to the increasing prevalence of meningioma.
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Yamaguchi, Satoshi, Masaaki Takeda, Toshiyuki Takahashi, Hitoshi Yamahata, Takafumi Mitsuhara, Tadaaki Niiro, Junya Hanakita, Kazutoshi Hida, Kazunori Arita, and Kaoru Kurisu. "Ginkgo leaf sign: a highly predictive imaging feature of spinal meningioma." Journal of Neurosurgery: Spine 23, no. 5 (November 2015): 642–46. http://dx.doi.org/10.3171/2015.3.spine1598.

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OBJECT Spinal meningioma and schwannoma are the most common spinal intradural extramedullary tumors, and the differentiation of these 2 tumors by CT and MRI has been a matter of debate. The purpose of this article is to present a case series of spinal meningiomas showing unique imaging features: a combination of a fan-shaped spinal cord and a streak in the tumor. The authors termed the former imaging feature “ginkgo leaf sign” and evaluated its diagnostic value. METHODS The authors present 7 cases of spinal meningioma having the ginkgo leaf sign. Thirty spinal extramedullary tumors arising lateral or ventrolateral to the spinal cord were studied to evaluate the diagnostic value of the ginkgo leaf sign for spinal meningiomas. Among 30 cases, 12 tumors were spinal meningiomas and 18 tumors from the control group were all schwannomas. RESULTS Seven of the 12 spinal meningiomas were positive for the ginkgo leaf sign. The sign was not present in the control group tumors. The overall ability to use the ginkgo leaf sign to detect meningioma indicated a sensitivity of 58%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 78%. CONCLUSIONS The ginkgo leaf sign is highly specific to spinal meningiomas arising lateral or ventrolateral to the spinal cord. In the present series, the ginkgo leaf sign was perfectly predictive for spinal meningioma.
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Miyatake, Shin-Ichi, Yoji Tamura, Shinji Kawabata, Kyoko Iida, Toshihiko Kuroiwa, and Koji Ono. "Boron Neutron Capture Therapy for Malignant Tumors Related To Meningiomas." Neurosurgery 61, no. 1 (July 1, 2007): 82–91. http://dx.doi.org/10.1227/01.neu.0000279727.90650.24.

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Abstract OBJECTIVE Malignant meningiomas, similar to glioblastomas, are difficult tumors to control. We tried to control malignant tumors related to meningiomas by boron neutron capture therapy (BNCT). METHODS Since June 2005, we applied BNCT with 13 rounds of neutron irradiation to seven cases of malignant tumors related to meningiomas. Three were anaplastic meningiomas, two were papillary meningiomas, one was an atypical meningioma, and one was a sarcoma transformed from a meningioma with cervical lymph node metastasis. All patients had previously undergone repetitive surgeries and radiotherapy. Follow-up images were available for six patients with an observation period between 7 and 13 months. We applied 18F-boronophenylalanine (BPA)-positron emission tomography (PET) before BNCT in six of the seven patients. One patient underwent methionine-PET instead of 18F-BPA-PET. RESULTS Five of the six patients who underwent BPA-PET analysis showed good BPA uptake, with a greater than 2.7 tumor-to-healthy brain ratio. The atypical meningioma case showed a tumor-to-healthy brain ratio of 2.0. The original tumor sizes were between 13.6 and 109 ml. Two of the three anaplastic meningiomas showed a complete response, and all six patients available for follow-up imaging showed radiographic improvements. Clinical symptoms before BNCT, such as hemiparesis and facial pain, were improved after BNCT in all but one patient. In this patient, a huge atypical meningioma arose from the falcotentorial junction and extended to the bilateral occipital lobes and brainstem; visual problems worsened after repetitive BNCT, with an increase in peritumoral edema. CONCLUSION Malignant meningiomas seem to be good candidates for BNCT.
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Ragel, Brian T., Isaac L. Elam, David L. Gillespie, Jeannette R. Flynn, David A. Kelly, David Mabey, Harvey Feng, William T. Couldwell, and Randy L. Jensen. "A novel model of intracranial meningioma in mice using luciferase-expressing meningioma cells." Journal of Neurosurgery 108, no. 2 (February 2008): 304–10. http://dx.doi.org/10.3171/jns/2008/108/2/0304.

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Object Meningioma research has been hindered by the inability to sequentially measure intracranial tumor growth in a cost-effective, efficient manner. Recently, the luciferase gene has been transfected into cancer lines to obtain cells that express the luciferase enzyme, which oxidizes luciferin in a reaction that releases photon energy that can be measured noninvasively by bioluminescence imaging (BLI) systems. The authors describe a mouse model of intracranial meningioma that uses this novel BLI system. Methods The immortal meningioma cell lines CH-157-MN and IOMM-Lee were transfected with luciferase and neomycin phosphotransferase (LucNeo) and selected with G418. These cells were stereotactically implanted at skull base and cerebral convexity locations in nude mice. Animals were imaged for bioluminescence biweekly, and 5 mice underwent magnetic resonance (MR) imaging. Tumors were harvested for immunohistochemical and ultrastructural analysis. Results The CH-157-MN-LucNeo and IOMM-Lee-LucNeo cell lines were successfully implanted intracranially in mice. The tumor induction rate for CH-157-MN-LucNeo skull base tumors was 90% (36 of 40 procedures). Statistical analysis of CH-157-MN-LucNeo skull base tumor volume measured on MR imaging correlated with the results of BLI showed an R value of 0.900. The tumors exhibited characteristics of aggressive meningiomas by insinuating along arachnoid planes and invading brain. Conclusions Noninvasive BLI was successfully used to image intracranial meningiomas in mice. The tumors grew in a fashion similar to that of aggressive meningiomas in humans, and exhibited the microscopic, immunohistochemical, and ultrastructural features characteristic of meningiomas. This animal model overcomes the main obstacle in studying intracranial meningiomas by enabling sequential noninvasive tumor measurement in a cost-effective manner.
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Yamazaki, Shintaro, Fumiharu Ohka, Masaki Hirano, Kazuya Motomura, Kuniaki Tanahashi, Kazuhito Takeuchi, Yukihiro Shiraki, et al. "TB-03 Newly Established Meningioma Organoid Model Elucidated an Important Role of FOXM1 in Meningioma Progression." Neuro-Oncology Advances 2, Supplement_3 (November 1, 2020): ii7. http://dx.doi.org/10.1093/noajnl/vdaa143.029.

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Abstract Meningioma is the most frequently occurring intracranial neoplasms in adults. Tumor removal surgery and radiotherapy were the widely accepted standard treatment for meningioma. Most meningioma cases were cured by extended total removal. However, some tumors develop in locations less amenable to resection, resulting in tumor recurrence after incomplete tumor removal followed by radiotherapy. Although several comprehensive studies have revealed frequently found molecular alterations of meningiomas, effective treatment reagents targeting specific molecular alterations have not been identified yet because of limited number of representative research models such as tumor cell lines or animal models of meningiomas. Recently developed 3D culture technologies have led to the development of novel cancer models, termed organoid models, due to their quite high efficiency of establishment. In this study, we established primary organoid culture methods using malignant meningioma cell lines (e.g. HKBMM and IOMM-Lee) and patient-derived meningioma tissues. Using this novel method, we have been able to establish six organoid models (four WHO grade I meningiomas, one WHO grade III one and one solitary fibrous tumor (SFT)) using tumor tissues derived from six consecutive patients with 100% success rate. Histological analyses, whole exome sequencing and copy number analyses revealed that these organoids exhibited consistent histological features and molecular profiling with those of parental tumors. Using public database, we identified upregulated FOXM1 was correlated with increased tumor proliferation. Over-expression of FOXM1 in benign meningioma organoids increased organoid proliferation, while depletion of FOXM1 in malignant ones decreased their proliferation. We revealed that novel organoid model for meningioma enable to shed light on the tumor biology of meningioma.
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Rohringer, Martin, Garnette R. Sutherland, Deon F. Louw, and Anders A. F. Sima. "Incidence and clinicopathological features of meningioma." Journal of Neurosurgery 71, no. 5 (November 1989): 665–72. http://dx.doi.org/10.3171/jns.1989.71.5.0665.

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✓ The incidence of intracranial meningioma in Manitoba, Canada, was reviewed from 1980 through 1987. During that time, 193 tumors were diagnosed, with a male:female ratio of 1:2. This occurrence corresponded to crude incidence rates of 2.3/100,000 for all meningiomas and 0.17/100,000 for malignant meningiomas. Among malignant meningiomas, the male:female ratio was 1:1. The age-specific annual incidence rate increased with age up to the eighth decade where it peaked at 8.4/100,000. The distribution of histopathological subtypes was: 74 meningotheliomatous (38%), 64 transitional (33%), 14 malignant (7%), 14 fibroblastic (7%), seven psammomatous (4%), four angioblastic (2%), and 16 unknown (8%). The diagnosis of malignant meningioma was based on the World Health Organization criteria, with only Grade III and IV tumors included in this subtype. Clinical features did not allow for differentiation of benign from malignant neoplasms. Individuals with malignant tumors were, however, more likely to suffer paresis (50%) and less likely to be without deficit (14%) than their benign counterparts. The radiographic appearance of “mushrooming” was observed only in patients with malignant meningioma. All malignant tumors showed evidence of peritumoral edema; however, none exhibited calcification. During the 8-year study interval, the tumor recurred in 10 (71%) of the 14 patients with malignant meningioma. Tumor recurrence was accompanied by dedifferentiation from a more benign histology in four patients (2% of the total material).
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Dissertations / Theses on the topic "Meningioma tumors"

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Qureshi, Hammad A. "Meningioma classification using an adaptive discriminant wavelet packet transform." Thesis, University of Warwick, 2009. http://wrap.warwick.ac.uk/2790/.

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Meningioma subtypes classification is a real world problem from the domain of histological image analysis that requires new methods for its resolution. Computerised histopathology presents a whole new set of problems and introduces new challenges in image classification. High intra-class variation and low inter-class differences in textures is often an issue in histological image analysis problems such as Meningioma subtypes classification. In this thesis, we present an adaptive wavelets based technique that adapts to the variation in the texture of meningioma samples and provides high classification accuracy results. The technique provides a mechanism for attaining an image representation consisting of various spatial frequency resolutions that represent the image and are referred to as subbands. Each subband provides different information pertaining to the texture in the image sample. Our novel method, the Adaptive Discriminant Wavelet Packet Transform (ADWPT), provides a means for selecting the most useful subbands and hence, achieves feature selection. It also provides a mechanism for ranking features based upon the discrimination power of a subband. The more discriminant a subband, the better it is for classification. The results show that high classification accuracies are obtained by selecting subbands with high discrimination power. Moreover, subbands that are more stable i.e. have a higher probability of being selected provide better classification accuracies. Stability and discrimination power have been shown to have a direct relationship with classification accuracy. Hence, ADWPT acquires a subset of subbands that provide a highly discriminant and robust set of features for Meningioma subtype classification. Classification accuracies obtained are greater than 90% for most Meningioma subtypes. Consequently, ADWPT is a robust and adaptive technique which enables it to overcome the issue of high intra-class variation by statistically selecting the most useful subbands for meningioma subtype classification. It overcomes the issue of low inter-class variation by adapting to texture samples and extracting the subbands that are best for differentiating between the various meningioma subtype textures.
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Wibom, Carl. "Multivariate analyses of proteomic and metabolomic patterns in brain tumors." Doctoral thesis, Umeå universitet, Onkologi, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-25670.

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Glioblastoma multiforme (GBM) is the most common primary brain tumor. Given the current standard of care, the prognosis for patients diagnosed with this disease is still poor. There consequently exists a need to improve current treatments, as well as to develop new ones. Many obstacles however need to be overcome to facilitate this effort and one of these involves the development of improved methods to monitor treatment effects. At present, the effects of treatment are typically assessed by radiological means several months after its initiation, which is unsatisfactory for a fast growing tumor like GBM. It is however likely that treatment effects can be detected on a molecular level long before radiological response, especially considering many of the targeted therapies that are currently being developed. Biomarkers for treatment efficacy may be of great importance in the future individualization of brain tumor treatment. The work presented herein was primarily focused on detecting early effects of GBM treatment. To this end, we designed experiments in the BT4C rat glioma model in which we studied effects of both conventional radiotherapy and an experimental angiogenesis inhibitor, vandetanib. Brain tissue samples were analyzed using a high throughput mass spectrometry (MS) based screening, known as Surface Enhanced Laser Desorption/Ionization - Time of Flight - Mass Spectrometry (SELDI-TOF-MS). The vast amounts of data generated were subsequently analyzed by established multivariate statistical methods, such as Principal Component Analysis (PCA), Partial Least Squares (PLS), and Orthogonal Partial Least Squares (OPLS), developed for analysis of large and complex datasets. In the radiotherapy study we detected a protein spectrum pattern clearly related to tumor progression. We notably observed how this progression pattern was hampered by radiotherapy. The vandetanib study also revealed significant alterations of protein expression following treatment of different durations, both in tumor tissue and in normal brain contralateral to the tumor. In an effort to further elucidate the pathophysiology of GBM, particularly in relation to treatment, we collected extracellular fluid (ECF) samples from 11 patients diagnosed with inoperable GBM. The samples were collected by means of stereotactic microdialysis, both from within the contrast enhancing tumor and the brain adjacent to tumor (BAT). Samples were collected longitudinally from each patient in a time span of up to two weeks, during which the patient received the first five fractions of radiotherapy. The ECF samples were then analyzed by Gas Chromatography Mass Spectrometry (GC-MS) to screen them with respect to concentrations of low molecular weight compounds (metabolites). Suitable multivariate analysis strategies enabled us to extract patterns of varying metabolite concentrations distinguishing between samples collected at different locations in the brain as well as between samples collected at different time points in relation to treatment. In a separate study, we also applied SELDI-TOF-MS and multivariate statistical methods to unravel possible differences in protein spectra between invasive and non-invasive WHO grade I meningiomas. This type of tumor can usually be cured by surgical resection however sometimes it grows invasively into the bone, ultimately causing clinical problems. This study revealed the possibility to differentiate between invasive and non-invasive benign meningioma based on the expression pattern of a few proteins. Our approach, which includes sample analysis and data handling, is applicable to a wide range of screening studies. In this work we demonstrated that the combination of MS screening and multivariate analyses is a powerful tool in the search for patterns related to treatment effects and diagnostics in brain tumors.
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Lombardi, Ismael Augusto Silva [UNESP]. "Metilação e expressão do gene BRCA1 em meningiomas." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/88064.

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Made available in DSpace on 2014-06-11T19:23:07Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-01-29Bitstream added on 2014-06-13T20:50:03Z : No. of bitstreams: 1 lombardi_ias_me_botfm.pdf: 529927 bytes, checksum: 6cb4e1254a86d1683806ac3cb6ca21b7 (MD5)
Meningiomas são os tumores intracranianos primários mais comuns e correlacionam-­‐se com câncer de mama, compatilhando características como incidência maior no sexo feminino, receptores para hormônios sexuais e crescimento a exposição a hormônios sexuais. O gene BRCA1 é amplamente estudado no câncer de mama hereditário e esporádico, entretanto, são poucos os trabalhos que correlacionam BRCA1 e meningiomas. O BRCA1 é gene de supressão tumoral, interagindo com outros oncogenes, atuando no reparo do DNA durante a divisão celular e modulando negativamente receptores de estrógeno e progesterona. Avaliar o padrão de metilação de e expressão de BRCA1 em meningiomas e tecidos controles, e a expressão de receptores de estrógeno e progesterona em meningiomas e controles, correlacionando estes dados com dados epidemiológicos da casuística. Casuística e métodos: pacientes com diagnóstico de meningiomas tiveram amostras tumorais colhidas durante cirurgias de rotina pela disciplina de Neurocirurgia da Faculdade de Medicina de Botucatu (FMB) e do Hospital Mário Gatti, em Campinas. Previamente, o projeto foi aprovado pelo Comitê de Ética em Pesquisa e cada paciente concordou em participar ao assinar o Termo de Consentimento Livre e Esclarecido. Amostras controle de aracnóide foram colhidas de cadáveres no serviço de necropsia da disciplina de Patologia da FMB. As amostras tumorais foram avaliadas para metilação de BRCA1 por PCR específica para metilação e os resultados avaliados por eletroforese. A expressão foi avaliada por PCR em tempo real os resultados dados em relação a amostras comtroles. A expressão de receptores de estrógeno (RE) e progesterona (RP) foram analisadas por imuno-histoquímica, conforme rotina da disciplina de Patologia da FMB. Foram avaliados 50 meningiomas entre...
Meningiomas are the most common primary intracranial tumors and correlate with breast cancer, shearing features like higher incidence in female, sexual hormone receptors and growth to exposure to sexual hormones. The gene is widely studied in hereditary and sporadic breast cancer, however, there are few studies that correlate BRCA1 and meningiomas. The BRCA1 is a tumor suppressor gene and interacts with other oncogenes by DNA repairing during cell division and also negative modulating estrogen and progesterone receptors. To assess the pattern of methylation and expression of BRCA1 in meningiomas and control tissues, and the expression of estrogen and progesterone receptors in meningiomas and control tissues, and to correlate these data with patients epidemiological data. Patients diagnosed with meningioma had collected tumors samples during routine surgeries by the discipline of Neurosurgery in Faculty of Medicine of Botucatu (FMB) and Mario Gatti Hospital in Campinas. Previously, the project was approved by the Research Ethics Committee and each patient agreed to participate by signing the Instrument of Consent. Control arachnoid samples were collected from cadavers during routine of necropsy of Pathology departament in FMB. The tumor samples were analyzed for methylation of BRCA1 by methylation specific PCR and the results were evaluated by electrophoresis. The expression was assessed by real-­‐time PCR results given in relation to samples comtroles. The expression of estrogen receptors (ER) and progesterone (PR) were analyzed by immunohistochemistry, as routine in Pathology departament. There were 50 meningiomas between January 2009 to September 2012, 22 male and 28 female. The methylation of BRCA1 in meningiomas was statistically significant compared to control tissues... (Complete abstract click electronic access below)
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Lombardi, Ismael Augusto Silva. "Metilação e expressão do gene BRCA1 em meningiomas /." Botucatu : [s.n.], 2013. http://hdl.handle.net/11449/88064.

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Orientador: Adriana Camargo Ferrasi
Coorientador: Maria Inês de Moura Campos Pardini
Coorientador: Marco Antonio Zanini
Banca: Carlos Gilberto Carlotti Junior
Banca: Eny Maria Goloni-Bertollo
Resumo: Meningiomas são os tumores intracranianos primários mais comuns e correlacionam-­‐se com câncer de mama, compatilhando características como incidência maior no sexo feminino, receptores para hormônios sexuais e crescimento a exposição a hormônios sexuais. O gene BRCA1 é amplamente estudado no câncer de mama hereditário e esporádico, entretanto, são poucos os trabalhos que correlacionam BRCA1 e meningiomas. O BRCA1 é gene de supressão tumoral, interagindo com outros oncogenes, atuando no reparo do DNA durante a divisão celular e modulando negativamente receptores de estrógeno e progesterona. Avaliar o padrão de metilação de e expressão de BRCA1 em meningiomas e tecidos controles, e a expressão de receptores de estrógeno e progesterona em meningiomas e controles, correlacionando estes dados com dados epidemiológicos da casuística. Casuística e métodos: pacientes com diagnóstico de meningiomas tiveram amostras tumorais colhidas durante cirurgias de rotina pela disciplina de Neurocirurgia da Faculdade de Medicina de Botucatu (FMB) e do Hospital Mário Gatti, em Campinas. Previamente, o projeto foi aprovado pelo Comitê de Ética em Pesquisa e cada paciente concordou em participar ao assinar o Termo de Consentimento Livre e Esclarecido. Amostras controle de aracnóide foram colhidas de cadáveres no serviço de necropsia da disciplina de Patologia da FMB. As amostras tumorais foram avaliadas para metilação de BRCA1 por PCR específica para metilação e os resultados avaliados por eletroforese. A expressão foi avaliada por PCR em tempo real os resultados dados em relação a amostras comtroles. A expressão de receptores de estrógeno (RE) e progesterona (RP) foram analisadas por imuno-histoquímica, conforme rotina da disciplina de Patologia da FMB. Foram avaliados 50 meningiomas entre... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Meningiomas are the most common primary intracranial tumors and correlate with breast cancer, shearing features like higher incidence in female, sexual hormone receptors and growth to exposure to sexual hormones. The gene is widely studied in hereditary and sporadic breast cancer, however, there are few studies that correlate BRCA1 and meningiomas. The BRCA1 is a tumor suppressor gene and interacts with other oncogenes by DNA repairing during cell division and also negative modulating estrogen and progesterone receptors. To assess the pattern of methylation and expression of BRCA1 in meningiomas and control tissues, and the expression of estrogen and progesterone receptors in meningiomas and control tissues, and to correlate these data with patients epidemiological data. Patients diagnosed with meningioma had collected tumors samples during routine surgeries by the discipline of Neurosurgery in Faculty of Medicine of Botucatu (FMB) and Mario Gatti Hospital in Campinas. Previously, the project was approved by the Research Ethics Committee and each patient agreed to participate by signing the Instrument of Consent. Control arachnoid samples were collected from cadavers during routine of necropsy of Pathology departament in FMB. The tumor samples were analyzed for methylation of BRCA1 by methylation specific PCR and the results were evaluated by electrophoresis. The expression was assessed by real-­‐time PCR results given in relation to samples comtroles. The expression of estrogen receptors (ER) and progesterone (PR) were analyzed by immunohistochemistry, as routine in Pathology departament. There were 50 meningiomas between January 2009 to September 2012, 22 male and 28 female. The methylation of BRCA1 in meningiomas was statistically significant compared to control tissues... (Complete abstract click electronic access below)
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Mörén, Lina. "Metabolomics and proteomics studies of brain tumors : a chemometric bioinformatics approach." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-111309.

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The WHO classification of brain tumors is based on histological features and the aggressiveness of the tumor is classified from grade I to IV, where grade IV is the most aggressive. Today, the correlation between prognosis and tumor grade is the most important component in tumor classification. High grade gliomas, glioblastomas, are associated with poor prognosis and a median survival of 14 months including all available treatments. Low grade meningiomas, usually benign grade I tumors, are in most cases cured by surgical resection. However despite their benign appearance grade I meningiomas can, without any histopathological signs, in some cases develop bone invasive growth and become lethal. Thus, it is necessary to improve conventional treatment modalities, develop new treatment strategies and improve the knowledge regarding the basic pathophysiology in the classification and treatment of brain tumors. In this thesis, both proteomics and metabolomics have been applied in the search for biomarkers or biomarker patterns in two different types of brain tumors, gliomas and meningiomas. Proteomic studies were carried out mainly by surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS). In one of the studies, isobaric tags for relative and absolute quantitation (iTRAQ) labeling in combination with high-performance liquid chromatography (HPLC) was used for protein detection and identification. For metabolomics, gas-chromatography time-of-flight mass spectrometry (GC-TOF-MS) has been the main platform used throughout this work for generation of robust global metabolite profiles in tissue, blood and cell cultures. To deal with the complexity of the generated data, and to be able to extract relevant biomarker patters or latent biomarkers, for interpretation, prediction and prognosis, bioinformatic strategies based on chemometrics were applied throughout the studies of the thesis. In summary, we detected differentiating protein profiles between invasive and non-invasive meningiomas, in both fibrous and meningothelial tumors. Furthermore, in a different study we discovered treatment induce protein pattern changes in a rat glioma model treated with an angiogenesis inhibitor. We identified a cluster of proteins linked to angiogenesis. One of those proteins, HSP90, was found elevated in relation to treatment in tumors, following ELISA validation. An interesting observation in a separate study was that it was possible to detect metabolite pattern changes in the serum metabolome, as an effect of treatment with radiotherapy, and that these pattern changes differed between different patients, highlighting a possibility for monitoring individual treatment response.  In the fourth study of this work, we investigated tissue and serum from glioma patients that revealed differences in the metabolome between glioblastoma and oligodendroglioma, as well as between oligodendroglioma grade II and grade III. In addition, we discovered metabolite patterns associated to survival in both glioblastoma and oligodendroglioma. In our final work, we identified metabolite pattern differences between cell lines from a subgroup of glioblastomas lacking argininosuccinate synthetase (ASS1) expression, (ASS1 negative glioblastomas), making them auxotrophic for arginine, a metabolite required for tumor growth and proliferation, as compared to glioblastomas with normal ASS1 expression (ASS1 positive). From the identified metabolite pattern differences we could verify the hypothesized alterations in the arginine biosynthetic pathway. We also identified additional interesting metabolites that may provide clues for future diagnostics and treatments. Finally, we were able to verify the specific treatment effect of ASS1 negative cells by means of arginine deprivation on a metabolic level.
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Prager, Briana C. "THE MENINGIOMA ENHANCER LANDSCAPE DELINEATES PROGNOSTIC SUBGROUPS AND DRIVES DRUGGABLE DEPENDENCIES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1595620620551252.

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Ghasimi, Soma. "Genotype-phenotype studies in brain tumors." Doctoral thesis, Umeå universitet, Onkologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-83185.

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Meningioma and glioma are the most common primary brain tumors, but their etiologies are largely unknown. Although meningioma is usually benign, their intracranial location can lead to lethal consequences, and despite progress in surgery, radiotherapy, and chemotherapy the prognosis for patients with glioma remains poor. The only well-established environmental risk factor for meningioma and glioma is ionizing radiation. Evidence for inherited predisposition to meningioma and glioma is provided by a number of rare inherited syndromes where collectively these diseases account for only a small proportion of the twofold increased risk of brain tumors seen in first-degree relatives for meningioma and glioma patients. It is very possible that much of the excess familial risk is a consequence of co-inheritance of multiple low-risk genetic variations. With this in mind, the aims of the studies in this thesis were to discover genetic risk variants influencing the probability of acquiring the disease and to identify the association between risk variants on the tumor phenotype. To identify genetic variants influencing meningioma risk, a comprehensive tagging of the selected genes in a case-control study was performed. We identified nine risk variants in EGF, ERBB2, and LRIG2 genes. However, these findings could not be confirmed in another larger independent dataset. In addition, the study identified a correlation between LRIG2 protein expression and ER status when analyzed with different parameters. In a separate study with a larger sample of meningioma patients, the same correlation between LRIG2 and ER status was observed. To explore the potential association between reported germline risk variants and somatic genetic events, matched tumor and blood samples from glioma patients were analyzed by SNP array. The results identified correlations between EGFR gene variants and somatic aberrations within the EGFR locus and CDKN2A/B locus. To further study the relationship between germline risk variants and tumor phenotype, the same patient material was used and analyzed by three different techniques: SNP array, IHC, and FISH. The results revealed EGFR risk variants effecting copy number variation of the EGFR gene and the expression of the IDH1 and p53. Further comparison between different techniques such as SNP array and FISH analysis revealed the difficulty in achieving consistent results with different techniques. To summarize, the glioma studies show a link between genotype and phenotype where genetic risk variants in the EGFR gene were found to be associated with specific somatic aberrations. These associations are biologically interesting because EGFR is involved in multiple cellular processes. Additional studies of the direct functional role of these observations need to be conducted to elucidate the molecular mechanisms underlying the identified association between germline gene variants and somatic aberrations. For the meningioma studies, no significant risk variants influencing the disease were found but a correlation between LRIG2 and ER status was observed. This result suggests a potential role for the LRIG protein in the pathogenesis of meningioma, but more studies are needed to confirm this hypothesizes.

Cancer research foundation in northern Sweden and Lions cancer research foundation at Umeå university

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Hansson, Caisa Marie. "Analysis of Genetic Alterations in Patients Affected with Neurofibromatosis Type 2 and its Associated Tumors." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6511.

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Buckley, Patrick. "Development and Application of Microarray-Based Comparative Genomic Hybridization : Analysis of Neurofibromatosis Type-2, Schwannomatosis and Related Tumors." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4786.

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Almeida, Luciana Oliveira de. "Análise epigenética e de polimorfismos em tumores extra-axiais do sistema nervoso." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/17/17135/tde-02032010-121437/.

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Os tumores extra-axias do sistema nervoso são de localização extra-cerebral e na maioria das vezes benignos; meningiomas, schwanomas e metástases fazem parte deste grupo. O aparecimento de um tumor ocorre a partir do acúmulo de alterações genéticas e epigenéticas nas células. Para entender o mecanismo molecular da progressão tumoral e a formação de metástases é indispensável identificar os genes que acumulam essas alterações. Sendo assim, este trabalho teve como objetivo analisar o perfil de metilação dos genes TP16, TP53, DAL-1, GSTP-1, MEN-1, NDRG2 e das DNA metiltransferases 3A, 3B e 3L e sua associação com os tumores extra-axiais e ainda, avaliar, através de um estudo caso-controle, a influência dos SNPs TP53 Pro47Ser e Arg72Pro, EGF + 61, GSTP-1 Ile105Val e WRN Cys1367Arg no desenvolvimento e prognóstico desses tumores. A técnica utilizada para a análise de hipermetilação foi a MSP, e através dela observamos que a atividade das DNMTs não está associada à metilação dos tumores extra-axiais e ainda, os perfis de metilação das DNMTs de novo não estão associados com alterações no padrão de metilação dos genes TP16, TP53, DAL-1, GSTP-1, MEN- 1 e NDRG2. Observamos que a metilação do gene TP53 está associada principalmente aos tumores de maior grau de malignidade, a uma deficiência na resposta a tratamentos e, conseqüentemente, a um maior número de óbitos. A metilação do gene TP16 está envolvida mais freqüentemente na formação de schwanomas e a de NDRG2 na progressão dos meningiomas. A análise de polimorfismos foi realizada através da técnica de PCR-RFLP e observamos diferenças nas distribuições genotípicas entre pacientes e controles nos SNPs TP53 Pro47Ser e Arg72Pro, EGF + 61 e GSTP-1 Ile105Val, onde as variantes Ser47, Pro72, EGF G61 e Val105 foram observadas com maior freqüência entre os portadores de tumores extra-axiais. Dessa forma, estas variantes podem ser fatores de susceptibilidade para o desenvolvimento dos tumores.
The extra-axial brain tumors have extra-brain localization and in most of the time they are benign, meningiomas, schwannomas and metastasis are included in this group. The appearance of a tumor occurs because of the accumulation of genetic and epigenetic alterations in the cells. In order to understand the molecular mechanism of the tumor progression and the metastasis formation it is important to identify the genes that accumulate the alterations. Thereby, the objective of this study was to analyze the methylation profile of the genes TP16, TP53, DAL-1, GSTP-1, MEN-1, NDRG2 and the DNA methyltransferases 3A, 3B and 3L and their association with the extra-axial brain tumors. Another purpose was to determine, in a case-control study, the roles of the TP53 Pro47Ser and Arg72Pro, EGF + 61, GSTP-1 Ile105Val and WRN Cys1367Arg SNPs in the development and prognosis of these tumors. We used the MSP to screen the hypermethylation profile and we observed no association between the DNMTs activity and the hypermethylation of the tumors. We also did not find association between the methylation of the DNMTs de novo and alterations in the methylation profile of the genes TP16, TP53, DAL-1, GSTP-1, MEN-1 and NDRG2. We observed that TP53 hypermethylation was associated with the high grade tumors, a poor response to the treatments and, consequently, the high number of obits. The TP16 methylation was involved with the shwannomas formation and the NDRG2 gene was involved in the meningiomas progression. For the polymorphism analysis, we used the PCR-RFLP technique and we observed differences in the genotype distributions between cases and controls of TP53 Pro47Ser and Arg72Pro, EGF + 61 and GSTP-1 Ile105Val SNPs, where the variants Ser47, Pro72, EGF G61 and Val105 were more frequent in patients than in controls. Thus, these variants can be important factors of susceptibility to the tumor development.
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Books on the topic "Meningioma tumors"

1

Jones, Edith. Brain storm: The power of faith, hope, and love. Largo, MD: Christian Living Books, Inc., 2015.

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1923-, Pansini Arnaldo, ed. Spinal meningiomas. Berlin: Springer, 1996.

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Tumors Of The Central Nervous System. Springer, 2012.

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Felbaum, Daniel R., Jonathan H. Sherman, and Walter C. Jean. Pineal Tumors. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0003.

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Pineal region tumors can include a variety of histologies including pineal parenchymal tumor, germ cell tumor, glial tumor, metastasis and meningioma. The workup for pineal region tumors includes standard magnetic resonance imaging for anatomic imaging, as well as cerebrospinal fluid markers to assess for certain germ cell tumors. Cerebrospinal fluid diversion may be necessary if patients present with hydrocephalus. If surgical resection is indicated based on the suspected diagnosis, magnetic resonance venogram is an important study that influences the surgical trajectory. This chapter reviews common pineal region tumors in the setting of a case presentation. Management strategies and surgical approaches are also discussed in this chapter. Pearls for how to select the surgical approach and complication avoidance are also presented.
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Hovinga, K. E., Y. Esquenazi, and P. H. Gutin. Meningiomas. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0011.

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Meningiomas are the most common primary central nervous system tumors and account for about one third of all primary brain and spinal tumors. They are classified according to the World Health Organization into 3 groups (I–III). Treatment strategies range from observation, surgery, and/or a radiation therapy. Many meningiomas are slow growing and discovered incidentally. Symptoms can vary widely, depending on the location. Patient’s specific factors and the location of the meningioma in relation to critical brain structures are all important factors in determining the optimal treatment. This chapter presents common clinical scenarios of meningioma. Differential diagnosis, perioperative workup, surgical nuances, and postoperative complications are discussed.
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Weaver, Bradley D., and Randy L. Jensen. Hemangiopericytoma. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190696696.003.0012.

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Hemangiopericytoma (HPC) represents a rare, diagnostically challenging tumor for neurosurgical oncologists. Often, HPC appears as a dural-based, extra-axial mass lacking the characteristic hyperostosis and calcification of meningioma. Rapidly growing unconfirmed meningioma-like masses warrant increased suspicion of HPC. These tumors differ significantly from meningiomas in natural history and implications for patient morbidity and mortality. Histopathological analysis is required for proper diagnosis. MRI with and without contrast is recommended for operative planning, and angiography and preoperative embolization may be necessary for highly vascular HPCs. Operative goals include maximal, safe gross total resection. Evidence suggests adjuvant radiosurgery or radiation therapy benefits patients regardless of the extent of surgical resection.
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Hayat, M. A. Tumors of the Central Nervous System, Volume 14: Glioma, Meningioma, Neuroblastoma, and Spinal Tumors. Springer London, Limited, 2015.

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Hayat, M. A. Tumors of the Central Nervous System, Volume 14: Glioma, Meningioma, Neuroblastoma, and Spinal Tumors. Springer, 2016.

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Hayat, M. A. Tumors of the Central Nervous System, Volume 14: Glioma, Meningioma, Neuroblastoma, and Spinal Tumors. Springer, 2015.

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Walk It Off: The True and Hilarious Story of How I Learned to Stand, Walk, Pee, Run, and Have Sex Again after a Nightmarish Diagnosis Turned My Awesome Life Upside Down. Simon & Schuster, 2018.

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Book chapters on the topic "Meningioma tumors"

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Liu, Dongyou. "Meningioma." In Tumors and Cancers, 161–68. Boca Raton : Taylor & Francis, 2018. | Series: Pocket guides to biomedical sciences | “A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.”: CRC Press, 2017. http://dx.doi.org/10.1201/9781315120522-28.

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Tabuchi, Kazuo, and Akira Nishimoto. "Meningioma." In Atlas of Brain Tumors, 185–94. Tokyo: Springer Japan, 1988. http://dx.doi.org/10.1007/978-4-431-68063-5_20.

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Huang, Meng, Glen R. Manzano, and Allan D. Levi. "Meningioma." In Tumors of the Spinal Canal, 39–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55096-7_2.

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Kohan, Saeed, and M. Memet Özek. "Meningioma." In Posterior Fossa Tumors in Children, 813–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11274-9_55.

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Deutsch, Melvin. "Meningioma." In Management of Childhood Brain Tumors, 357–68. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1501-8_14.

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Mocellin, Simone. "Ectopic Meningioma." In Soft Tissue Tumors, 261–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58710-9_79.

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Chougule, Meghana. "Meningioma." In Neuropathology of Brain Tumors with Radiologic Correlates, 227–56. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7126-8_13.

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Petrovich, Zbigniew, Gabor Jozsef, Chi-Shing Zee, and Cheng Yu. "Radiotherapy for Meningioma." In Combined Modality Therapy of Central Nervous System Tumors, 265–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-56411-6_14.

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Zunarelli, Elena. "Oncocytic Meningioma: Neurosurgery." In Tumors of the Central Nervous System, Volume 7, 145–55. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2894-3_17.

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Monleon, Daniel, Concha López-Ginés, Rosario Gil-Benso, Jose Manuel González-Darder, and Miguel Cerdá-Nicolas. "Meningioma Tumors: Detection of Subgroups." In Tumors of the Central Nervous System, Volume 7, 101–10. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2894-3_12.

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Conference papers on the topic "Meningioma tumors"

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Silva, Ianne Melo da, and Francieli Goulart Ribeiro. "Phonoaudiological profile of patients in post-operative research of intracranial tumor." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.645.

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Introduction: Primary intracranial tumors have increased the incidence and mortality rate in recent years. The speech-language disorders found in patients with intracranial tumor vary according to the histological type and anatomical location. Objective: To characterize the population of post-surgical patients with resection of intracranial tumors treated by the Speech-Language Pathology Service from January 2015 to January 2018. Methods: This is a cross-sectional retrospective study, carried out at the University Hospital of the Maranhão Federal Unit-Presidente Dutra Unit, with a sample by convenience, based on the data collected in the medical records and speech therapy protocols. The data were treated using the Stata software, version 14.0. The normality of continuous variables was verified by the Shapiro Wilk test. Student’s t-tests were used for continuous variables and Fisher’s exact or Chi-square tests for categorical ones. Results: 22 speech therapy protocols were analyzed. Gender equality was observed (50% men and 50% women). Average age of 48.77. Meningioma was the most prevalent type of tumor (41.0%). As for location, most tumors were located in the left frontal region (22.7%), but it was observed that tumors in the posterior fossa were more severe. Changes in speech articulation (p=0.002), vocal quality (p=0.007), mobility (p=0.001), sensitivity (p=0.020), tonicity (p=0.003), altered oropharyngeal dynamics (p=0.048) and wet vocal quality (p=0.034) were associated with a worse speech-language profile. Conclusion: The speech-language disorders found and the degree of dysphagia were directly associated with the location of the tumor in the posterior fossa.
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Sijilmassi, Ouafa. "MRI histogram analysis to differentiate three brain tumor types: meningioma, glioma, and pituitary tumors." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jtu4b.62.

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The objective of this study was to examine histogram analysis parameters derived from MRI to distinguish between different types of brain tumors according to the type of tissue in which they arise and where they are located.
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Alkhodari, Mohanad, Omnia Hassanin, and Salam Dhou. "A Comparative Study of Meningioma Tumors Segmentation Methods from MR Images." In 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 2020. http://dx.doi.org/10.1109/icspis51252.2020.9340134.

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Hephzipah, J. Jasmine, T. D. Subha, K. Neela, Sushmitha, and Anvitha. "Detection and Diagnosis of Meningioma Brain Tumors using Proposed CNN Architecture." In 2022 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2022. http://dx.doi.org/10.1109/icict54344.2022.9850493.

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Sahoo, Akshya Kumar, and Priyadarsan Parida. "A Clustering Based Approach For Meningioma Tumors Extraction From Brain MRI Images." In 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC). IEEE, 2020. http://dx.doi.org/10.1109/isssc50941.2020.9358849.

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Srovnal, Josef, Vladimir Balik, Jiri Ehrmann, Miroslav Vaverka, Lumir Hrabalek, Katerina Staffova, and Marian Hajduch. "Abstract 3170: Analysis of copy number variations in meningioma samples using microarrays revealed 22q deletions more frequent in higher grade tumors." In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-3170.

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Zhang, Liang, Yan Zhou, Shengjia Zhang, Binlin Wu, Ke Zhu, Cheng-hui Liu, Xinguang Yu, and Robert R. Alfano. "Human brain meningioma tumor detection using visible resonance Raman spectroscopy." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX, edited by Caroline Boudoux and James W. Tunnell. SPIE, 2021. http://dx.doi.org/10.1117/12.2577054.

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Ben Ismail, Mohamed Maher. "Local Ensemble Approach for Meningioma Tumor Firmness Detection in MRI Images." In IVSP '20: 2020 2nd International Conference on Image, Video and Signal Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388818.3389158.

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Hazra, Debapriya, and Yung-Cheol Byun. "Extraction of Parasagittal Meningioma Tumor using Skull Stripping Method and Multilevel Thresholding." In 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific). IEEE, 2019. http://dx.doi.org/10.1109/itec-ap.2019.8903716.

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Hazra, Debapriya, and Debnath Bhattacharyya. "Extraction of Parasagittal Meningioma Tumor using Skull Stripping Method and Multilevel Thresholding." In Smart Technologies in Data Science and Communication 2017. Science & Engineering Research Support soCiety, 2017. http://dx.doi.org/10.14257/astl.2017.147.24.

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Reports on the topic "Meningioma tumors"

1

Lal, Anita, and Gilson S. Baia. Merlin, the Hippo Pathway, and Tumor Suppression in Meningiomas. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada497595.

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