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Nickl V, Ziebolz D, Rumpel C, Klein D, Nickl R, Rampeltshammer E, Monoranu CM, Ernestus RI, Matthies C, Löhr M, Hagemann C, Breun M. Analysis of tumor microenvironment composition in vestibular schwannomas: insights into NF2-associated and sporadic variations and their clinical correlations. Front Oncol 2024; 14:1340184. [PMID: 38817895 PMCID: PMC11137168 DOI: 10.3389/fonc.2024.1340184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 04/09/2024] [Indexed: 06/01/2024] Open
Abstract
Objective Vestibular schwannomas (VS), benign tumors stemming from the eighth cranial nerve's Schwann cells, are associated with Merlin gene mutations, inflammation, and the tumor microenvironment (TME), influencing tumor initiation, maintenance, and potential neural dysfunction. Understanding TME composition holds promise for systemic therapeutic interventions, particularly for NF2-related schwannomatosis. Methodology A retrospective analysis of paraffin-embedded tissue from 40 patients (2013-2020), evenly divided by neurofibromatosis type 2 status, with further stratification based on magnetic resonance imaging (MRI) progression and hearing function. Immunohistochemistry assessed TME components, including T-cell markers (CD4, CD8, CD25), NK cells (CD7), and macrophages (CD14, CD68, CD163, CCR2). Fiji software facilitated image analysis. Results T-cell markers (CD4, CD8, CD7) exhibited low expression in VS, with no significant NF2-associated vs. sporadic distinctions. Macrophage-related markers (CD14, CD68, CD163, CCR2) showed significantly higher expression (CD14: p = 0.0187, CD68: p < 0.0001, CD163: p = 0.0006, CCR2: p < 0.0001). CCR2 and CD163 significantly differed between NF2-associated and sporadic VS. iNOS, an M1-macrophage marker, was downregulated. CD25, a regulatory T-cell marker, correlated significantly with tumor growth dynamics (p = 0.016). Discussion Immune cells, notably monocytes and macrophages, crucially contribute to VS pathogenesis in both NF2-associated and sporadic cases. Significant differences in CCR2 and CD163 expression suggest distinct immune responses. Regulatory T-cells may serve as growth dynamic markers. These findings highlight immune cells as potential biomarkers and therapeutic targets for managing VS.
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Affiliation(s)
- Vera Nickl
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - David Ziebolz
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Charlotte Rumpel
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Dennis Klein
- Department of Neurology, Developmental Neurobiology, University Hospital Würzburg, Würzburg, Germany
| | - Robert Nickl
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Eva Rampeltshammer
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Camelia M. Monoranu
- Institute of Pathology, Department of Neuropathology, University Würzburg, Würzburg, Germany
| | - Ralf-Ingo Ernestus
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Cordula Matthies
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Mario Löhr
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Carsten Hagemann
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Maria Breun
- Department of Neurosurgery, Section Experimental Neurosurgery, University Hospital Würzburg, Würzburg, Germany
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Lewis D, Li KL, Waqar M, Coope DJ, Pathmanaban ON, King AT, Djoukhadar I, Zhao S, Cootes TF, Jackson A, Zhu X. Low-dose GBCA administration for brain tumour dynamic contrast enhanced MRI: a feasibility study. Sci Rep 2024; 14:4905. [PMID: 38418818 PMCID: PMC10902320 DOI: 10.1038/s41598-024-53871-x] [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: 06/14/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
A key limitation of current dynamic contrast enhanced (DCE) MRI techniques is the requirement for full-dose gadolinium-based contrast agent (GBCA) administration. The purpose of this feasibility study was to develop and assess a new low GBCA dose protocol for deriving high-spatial resolution kinetic parameters from brain DCE-MRI. Nineteen patients with intracranial skull base tumours were prospectively imaged at 1.5 T using a single-injection, fixed-volume low GBCA dose, dual temporal resolution interleaved DCE-MRI acquisition. The accuracy of kinetic parameters (ve, Ktrans, vp) derived using this new low GBCA dose technique was evaluated through both Monte-Carlo simulations (mean percent deviation, PD, of measured from true values) and an in vivo study incorporating comparison with a conventional full-dose GBCA protocol and correlation with histopathological data. The mean PD of data from the interleaved high-temporal-high-spatial resolution approach outperformed use of high-spatial, low temporal resolution datasets alone (p < 0.0001, t-test). Kinetic parameters derived using the low-dose interleaved protocol correlated significantly with parameters derived from a full-dose acquisition (p < 0.001) and demonstrated a significant association with tissue markers of microvessel density (p < 0.05). Our results suggest accurate high-spatial resolution kinetic parameter mapping is feasible with significantly reduced GBCA dose.
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Affiliation(s)
- Daniel Lewis
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK.
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Stott Lane, Salford, Greater Manchester, M6 8HD, UK.
| | - Ka-Loh Li
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Mueez Waqar
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - David J Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Andrew T King
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sha Zhao
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Timothy F Cootes
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Wu Y, Liu X, Huang Y, Zhou T, Zhang F. An open relaxation-diffusion MRI dataset in neurosurgical studies. Sci Data 2024; 11:177. [PMID: 38326377 PMCID: PMC10850093 DOI: 10.1038/s41597-024-03013-9] [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: 10/04/2023] [Accepted: 01/25/2024] [Indexed: 02/09/2024] Open
Abstract
Diffusion MRI (dMRI) is a safe and noninvasive technique that provides insight into the microarchitecture of brain tissue. Relaxation-diffusion MRI (rdMRI) is an extension of traditional dMRI that captures diffusion imaging data at multiple TEs to detect tissue heterogeneity between relaxation and diffusivity. rdMRI has great potential in neurosurgical research including brain tumor grading and treatment response evaluation. However, the lack of available data has limited the exploration of rdMRI in clinical settings. To address this, we are sharing a high-quality rdMRI dataset from 18 neurosurgical patients with different types of lesions, as well as two healthy individuals as controls. The rdMRI data was acquired using 7 TEs, where at each TE multi-shell dMRI with high spatial and angular resolutions is obtained at each TE. Each rdMRI scan underwent thorough artifact and distortion corrections using a specially designed processing pipeline. The dataset's quality was assessed using standard practices, including quality control and assurance. This resource is a valuable addition to neurosurgical studies, and all data are openly accessible.
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Affiliation(s)
- Ye Wu
- School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China
| | - Xiaoming Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
| | - Yunzhi Huang
- School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
| | - Tao Zhou
- School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China
| | - Fan Zhang
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China
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Guo S, Zheng X, Chen W, Raza U, Zeng A, Akter F, Huang Q, Yao S. From bench to bedside: Advancing towards therapeutic treatment of vestibular schwannomas. Neurooncol Adv 2024; 6:vdae107. [PMID: 39022647 PMCID: PMC11252569 DOI: 10.1093/noajnl/vdae107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Abstract
Vestibular schwannomas are rare intracranial tumors originating from Schwann cells of the vestibular nerve. Despite their benign nature, these tumors can exert significant mass effects and debilitating symptoms, including gradual hearing loss, vertigo, facial nerve dysfunction, and headaches. Current clinical management options encompass wait-and-scan, surgery, radiation therapy, and off-label medication. However, each approach exhibits its own challenges and harbors limitations that underscore the urgent need for therapeutic treatments. Over the past 2 decades, extensive elucidation of the molecular underpinnings of vestibular schwannomas has unraveled genetic anomalies, dysregulated signaling pathways, downstream of receptor tyrosine kinases, disrupted extracellular matrix, inflammatory tumor microenvironment, and altered cerebrospinal fluid composition as integral factors in driving the development and progression of the disease. Armed with this knowledge, novel therapeutic interventions tailored to the unique molecular characteristics of those conditions are actively being pursued. This review underscores the urgency of addressing the dearth of Food and Drug Administration-approved drugs for vestibular schwannoma, highlighting the key molecular discoveries and their potential translation into therapeutics. It provides an in-depth exploration of the evolving landscape of therapeutic development, which is currently advancing from bench to bedside. These ongoing efforts hold the promise of significantly transforming the lives of vestibular schwannoma patients in the future.
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Affiliation(s)
- Shaolei Guo
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xuan Zheng
- Department of Neurosurgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Wenli Chen
- Department of Neurosurgery, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Umar Raza
- School of Basic Medical Sciences, Shenzhen University, Shenzhen, China
| | - Ailiang Zeng
- Department of Cancer Biology, UT MD Anderson Cancer Center, Houston, Texas, USA
| | - Farhana Akter
- Faculty of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Quan Huang
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shun Yao
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Alfaifi B, Hinz R, Jackson A, Wadeson A, Pathmanaban ON, Hammerbeck-Ward C, Rutherford SA, King AT, Lewis D, Coope DJ. Evidence for inflammation in normal-appearing brain regions in patients with growing sporadic vestibular schwannoma: A PET study. Neurooncol Adv 2024; 6:vdae094. [PMID: 38962752 PMCID: PMC11221070 DOI: 10.1093/noajnl/vdae094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024] Open
Abstract
Background Nonauditory symptoms can be a prominent feature in patients with sporadic vestibular schwannoma (VS), but the cause of these symptoms is unknown. Inflammation is hypothesized to play a key role in the growth and symptomatic presentation of sporadic VS, and in this study, we investigated through translocator protein (TSPO) positron emission tomography (PET) whether inflammation occurred within the "normal appearing" brain of such patients and its association with tumor growth. Methods Dynamic PET datasets from 15 patients with sporadic VS (8 static and 7 growing) who had been previously imaged using the TSPO tracer [11C](R)-PK11195 were included. Parametric images of [11C](R)-PK11195 binding potential (BPND) and the distribution volume ratio (DVR) were derived and compared across VS growth groups within both contralateral and ipsilateral gray (GM) and white matter (WM) regions. Voxel-wise cluster analysis was additionally performed to identify anatomical regions of increased [11C](R)-PK11195 binding. Results Compared with static tumors, growing VS demonstrated significantly higher cortical (GM, 1.070 vs. 1.031, P = .03) and whole brain (GM & WM, 1.045 vs. 1.006, P = .03) [11C](R)-PK11195 DVR values. The voxel-wise analysis supported the region-based analysis and revealed clusters of high TSPO binding within the precentral, postcentral, and prefrontal cortex in patients with growing VS. Conclusions We present the first in vivo evidence of increased TSPO expression and inflammation within the brains of patients with growing sporadic VS. These results provide a potential mechanistic insight into the development of nonauditory symptoms in these patients and highlight the need for further studies interrogating the role of neuroinflammation in driving VS symptomatology.
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Affiliation(s)
- Bandar Alfaifi
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Rainer Hinz
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
| | - Andrea Wadeson
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Charlotte Hammerbeck-Ward
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Scott A Rutherford
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
| | - Andrew T King
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, UK
| | - Daniel Lewis
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, UK
| | - David J Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, University of Manchester, Manchester, UK
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Teranishi Y, Miyawaki S, Nakatochi M, Okano A, Ohara K, Hongo H, Ishigami D, Sakai Y, Shimada D, Takayanagi S, Ikemura M, Komura D, Katoh H, Mitsui J, Morishita S, Ushiku T, Ishikawa S, Nakatomi H, Saito N. Meningiomas in patients with neurofibromatosis type 2 predominantly comprise 'immunogenic subtype' tumours characterised by macrophage infiltration. Acta Neuropathol Commun 2023; 11:156. [PMID: 37752594 PMCID: PMC10521403 DOI: 10.1186/s40478-023-01645-3] [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: 07/04/2023] [Accepted: 08/25/2023] [Indexed: 09/28/2023] Open
Abstract
Although recent molecular analyses revealed that sporadic meningiomas have various genetic, epigenetic, and transcriptomic profiles, meningioma in patients with neurofibromatosis type 2 (NF2) have not been fully elucidated. This study investigated meningiomas' clinical, histological, and molecular characteristics in NF2 patients. A long-term retrospective follow-up (13.5 ± 5.5 years) study involving total 159 meningiomas in 37 patients with NF2 was performed. Their characteristics were assessed using immunohistochemistry (IHC), bulk-RNA sequencing, and copy number analysis. All variables of meningiomas in patients with NF2 were compared with those in 189 sporadic NF2-altered meningiomas in 189 patients. Most meningiomas in NF2 patients were stable, and the mean annual growth rate was 1.0 ± 1.8 cm3/year. Twenty-eight meningiomas (17.6%) in 25 patients (43.1%) were resected during the follow-up period. WHO grade I meningiomas in patients with NF2 were more frequent than in sporadic NF2-altered meningiomas (92.9% vs. 80.9%). Transcriptomic analysis for patients with NF2/sporadic NF2-altered WHO grade I meningiomas (n = 14 vs. 15, respectively) showed that tumours in NF2 patients still had a higher immune response and immune cell infiltration than sporadic NF2-altered meningiomas. Furthermore, RNA-seq/IHC-derived immunophenotyping corroborated this enhanced immune response by identifying myeloid cell infiltration, particularly in macrophages. Clinical, histological, and transcriptomic analyses of meningiomas in patients with NF2 demonstrated that meningiomas in NF2 patients showed less aggressive behaviour than sporadic NF2-altered meningiomas and elicited a marked immune response by identifying myeloid cell infiltration, particularly of macrophages.
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Affiliation(s)
- Yu Teranishi
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Satoru Miyawaki
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Masahiro Nakatochi
- Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, 1-1-20 Daiko-Minami, Higashi-ku, Nagoya, Japan
| | - Atsushi Okano
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kenta Ohara
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Hiroki Hongo
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Daiichiro Ishigami
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Yu Sakai
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Daisuke Shimada
- Department of Neurosurgery, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka-shi, Tokyo, Japan
| | - Shunsaku Takayanagi
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Masako Ikemura
- Department of Pathology, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Daisuke Komura
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroto Katoh
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Jun Mitsui
- Department of Molecular Neurology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Shinichi Morishita
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan
| | - Shumpei Ishikawa
- Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hirofumi Nakatomi
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Neurosurgery, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka-shi, Tokyo, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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Li KL, Lewis D, Zhu X, Coope DJ, Djoukhadar I, King AT, Cootes T, Jackson A. A Novel Multi-Model High Spatial Resolution Method for Analysis of DCE MRI Data: Insights from Vestibular Schwannoma Responses to Antiangiogenic Therapy in Type II Neurofibromatosis. Pharmaceuticals (Basel) 2023; 16:1282. [PMID: 37765090 PMCID: PMC10534691 DOI: 10.3390/ph16091282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/01/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
This study aimed to develop and evaluate a new DCE-MRI processing technique that combines LEGATOS, a dual-temporal resolution DCE-MRI technique, with multi-kinetic models. This technique enables high spatial resolution interrogation of flow and permeability effects, which is currently challenging to achieve. Twelve patients with neurofibromatosis type II-related vestibular schwannoma (20 tumours) undergoing bevacizumab therapy were imaged at 1.5 T both before and at 90 days following treatment. Using the new technique, whole-brain, high spatial resolution images of the contrast transfer coefficient (Ktrans), vascular fraction (vp), extravascular extracellular fraction (ve), capillary plasma flow (Fp), and the capillary permeability-surface area product (PS) could be obtained, and their predictive value was examined. Of the five microvascular parameters derived using the new method, baseline PS exhibited the strongest correlation with the baseline tumour volume (p = 0.03). Baseline ve showed the strongest correlation with the change in tumour volume, particularly the percentage tumour volume change at 90 days after treatment (p < 0.001), and PS demonstrated a larger reduction at 90 days after treatment (p = 0.0001) when compared to Ktrans or Fp alone. Both the capillary permeability-surface area product (PS) and the extravascular extracellular fraction (ve) significantly differentiated the 'responder' and 'non-responder' tumour groups at 90 days (p < 0.05 and p < 0.001, respectively). These results highlight that this novel DCE-MRI analysis approach can be used to evaluate tumour microvascular changes during treatment and the need for future larger clinical studies investigating its role in predicting antiangiogenic therapy response.
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Affiliation(s)
- Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
| | - Daniel Lewis
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
- Wolfson Molecular Imaging Centre, University of Manchester, 27 Palatine Road, Manchester M20 3LJ, UK
| | - David J. Coope
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Ibrahim Djoukhadar
- Department of Neuroradiology, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK;
| | - Andrew T. King
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester M13 9PL, UK; (D.L.); (D.J.C.); (A.T.K.)
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9NT, UK
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester M13 9PL, UK
| | - Timothy Cootes
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK; (K.-L.L.); (T.C.); (A.J.)
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Régis J, Balossier A. From the perspective of pseudo-progression rather than treatment failure, how long should we wait before considering treatment failure if large cystic enlargement occurs after Gamma Knife radiosurgery for vestibular schwannoma? Insight into pseudo-progression based on two case reports. Acta Neurochir (Wien) 2023; 165:2101-2103. [PMID: 37407853 DOI: 10.1007/s00701-023-05685-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 06/14/2023] [Indexed: 07/07/2023]
Affiliation(s)
- Jean Régis
- Aix Marseille University, Neurochirurgie Fonctionnelle & Stéréotaxique Hôpital d'adulte de la Timone, 264 Bvd St Pierre, 13385, Marseille, Cedex 05, France.
| | - Anne Balossier
- Aix Marseille University, Neurochirurgie Fonctionnelle & Stéréotaxique Hôpital d'adulte de la Timone, 264 Bvd St Pierre, 13385, Marseille, Cedex 05, France
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Gregory GE, Jones AP, Haley MJ, Hoyle C, Zeef LAH, Lin IH, Coope DJ, King AT, Evans DG, Paszek P, Couper KN, Brough D, Pathmanaban ON. The comparable tumour microenvironment in sporadic and NF2-related schwannomatosis vestibular schwannoma. Brain Commun 2023; 5:fcad197. [PMID: 37680691 PMCID: PMC10481781 DOI: 10.1093/braincomms/fcad197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/06/2023] [Accepted: 07/17/2023] [Indexed: 09/09/2023] Open
Abstract
Bilateral vestibular schwannoma is the hallmark of NF2-related schwannomatosis, a rare tumour predisposition syndrome associated with a lifetime of surgical interventions, radiotherapy and off-label use of the anti-angiogenic drug bevacizumab. Unilateral vestibular schwannoma develops sporadically in non-NF2-related schwannomatosis patients for which there are no drug treatment options available. Tumour-infiltrating immune cells such as macrophages and T-cells correlate with increased vestibular schwannoma growth, which is suggested to be similar in sporadic and NF2-related schwannomatosis tumours. However, differences between NF2-related schwannomatosis and the more common sporadic disease include NF2-related schwannomatosis patients presenting an increased number of tumours, multiple tumour types and younger age at diagnosis. A comparison of the tumour microenvironment in sporadic and NF2-related schwannomatosis tumours is therefore required to underpin the development of immunotherapeutic targets, identify the possibility of extrapolating ex vivo data from sporadic vestibular schwannoma to NF2-related schwannomatosis and help inform clinical trial design with the feasibility of co-recruiting sporadic and NF2-related schwannomatosis patients. This study drew together bulk transcriptomic data from three published Affymetrix microarray datasets to compare the gene expression profiles of sporadic and NF2-related schwannomatosis vestibular schwannoma and subsequently deconvolved to predict the abundances of distinct tumour immune microenvironment populations. Data were validated using quantitative PCR and Hyperion imaging mass cytometry. Comparative bioinformatic analyses revealed close similarities in NF2-related schwannomatosis and sporadic vestibular schwannoma tumours across the three datasets. Significant inflammatory markers and signalling pathways were closely matched in NF2-related schwannomatosis and sporadic vestibular schwannoma, relating to the proliferation of macrophages, angiogenesis and inflammation. Bulk transcriptomic and imaging mass cytometry data identified macrophages as the most abundant immune population in vestibular schwannoma, comprising one-third of the cell mass in both NF2-related schwannomatosis and sporadic tumours. Importantly, there were no robust significant differences in signalling pathways, gene expression, cell type abundance or imaging mass cytometry staining between NF2-related schwannomatosis and sporadic vestibular schwannoma. These data indicate strong similarities in the tumour immune microenvironment of NF2-related schwannomatosis and sporadic vestibular schwannoma.
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Affiliation(s)
- Grace E Gregory
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Adam Paul Jones
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Michael J Haley
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Christopher Hoyle
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Leo A H Zeef
- Bioinformatics Core Facility, University of Manchester, Manchester, UK
| | - I-Hsuan Lin
- Bioinformatics Core Facility, University of Manchester, Manchester, UK
| | - David J Coope
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Andrew T King
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - D Gareth Evans
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Pawel Paszek
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Kevin N Couper
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David Brough
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
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10
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Wijethilake N, MacCormac O, Vercauteren T, Shapey J. Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review. Front Oncol 2023; 13:1131013. [PMID: 37182138 PMCID: PMC10167010 DOI: 10.3389/fonc.2023.1131013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Extra-axial brain tumors are extra-cerebral tumors and are usually benign. The choice of treatment for extra-axial tumors is often dependent on the growth of the tumor, and imaging plays a significant role in monitoring growth and clinical decision-making. This motivates the investigation of imaging biomarkers for these tumors that may be incorporated into clinical workflows to inform treatment decisions. The databases from Pubmed, Web of Science, Embase, and Medline were searched from 1 January 2000 to 7 March 2022, to systematically identify relevant publications in this area. All studies that used an imaging tool and found an association with a growth-related factor, including molecular markers, grade, survival, growth/progression, recurrence, and treatment outcomes, were included in this review. We included 42 studies, comprising 22 studies (50%) of patients with meningioma; 17 studies (38.6%) of patients with pituitary tumors; three studies (6.8%) of patients with vestibular schwannomas; and two studies (4.5%) of patients with solitary fibrous tumors. The included studies were explicitly and narratively analyzed according to tumor type and imaging tool. The risk of bias and concerns regarding applicability were assessed using QUADAS-2. Most studies (41/44) used statistics-based analysis methods, and a small number of studies (3/44) used machine learning. Our review highlights an opportunity for future work to focus on machine learning-based deep feature identification as biomarkers, combining various feature classes such as size, shape, and intensity. Systematic Review Registration: PROSPERO, CRD42022306922.
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Affiliation(s)
- Navodini Wijethilake
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Oscar MacCormac
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan Shapey
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
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11
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Cazzador D, Astolfi L, Daloiso A, Tealdo G, Simoni E, Mazzoni A, Zanoletti E, Marioni G. Tumor Microenvironment in Sporadic Vestibular Schwannoma: A Systematic, Narrative Review. Int J Mol Sci 2023; 24:ijms24076522. [PMID: 37047498 PMCID: PMC10094882 DOI: 10.3390/ijms24076522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/26/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Although diagnosis and treatment of vestibular schwannomas (VSs) improved in recent years, no factors have yet been identified as being capable of predicting tumor growth. Molecular rearrangements occur in neoplasms before any macroscopic morphological changes become visible, and the former are the underlying cause of disease behavior. Tumor microenvironment (TME) encompasses cellular and non-cellular elements interacting together, resulting in a complex and dynamic key of tumorigenesis, drug response, and treatment outcome. The aim of this systematic, narrative review was to assess the level of knowledge on TME implicated in the biology, behavior, and prognosis of sporadic VSs. A search (updated to November 2022) was run in Scopus, PubMed, and Web of Science electronic databases according to the PRISMA guidelines, retrieving 624 titles. After full-text evaluation and application of inclusion/exclusion criteria, 37 articles were included. VS microenvironment is determined by the interplay of a dynamic ecosystem of stromal and immune cells which produce and remodel extracellular matrix, vascular networks, and promote tumor growth. However, evidence is still conflicting. Further studies will enhance our understanding of VS biology by investigating TME-related biomarkers able to predict tumor growth and recognize immunological and molecular factors that could be potential therapeutic targets for medical treatment.
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Affiliation(s)
- Diego Cazzador
- Otolaryngology Section, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
- Correspondence: (D.C.); (G.M.)
| | - Laura Astolfi
- Bioacoustics Research Laboratory, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Antonio Daloiso
- Otolaryngology Section, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Giulia Tealdo
- Otolaryngology Section, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Edi Simoni
- Bioacoustics Research Laboratory, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Antonio Mazzoni
- Otolaryngology Section, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Elisabetta Zanoletti
- Otolaryngology Section, Department of Neuroscience DNS, University of Padova, 35100 Padova, Italy
| | - Gino Marioni
- Phoniatrics and Audiology Unit, Department of Neuroscience DNS, University of Padova, 31100 Treviso, Italy
- Correspondence: (D.C.); (G.M.)
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12
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Chiasson-MacKenzie C, Vitte J, Liu CH, Wright EA, Flynn EA, Stott SL, Giovannini M, McClatchey AI. Cellular mechanisms of heterogeneity in NF2-mutant schwannoma. Nat Commun 2023; 14:1559. [PMID: 36944680 PMCID: PMC10030849 DOI: 10.1038/s41467-023-37226-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 03/06/2023] [Indexed: 03/23/2023] Open
Abstract
Schwannomas are common sporadic tumors and hallmarks of familial neurofibromatosis type 2 (NF2) that develop predominantly on cranial and spinal nerves. Virtually all schwannomas result from inactivation of the NF2 tumor suppressor gene with few, if any, cooperating mutations. Despite their genetic uniformity schwannomas exhibit remarkable clinical and therapeutic heterogeneity, which has impeded successful treatment. How heterogeneity develops in NF2-mutant schwannomas is unknown. We have found that loss of the membrane:cytoskeleton-associated NF2 tumor suppressor, merlin, yields unstable intrinsic polarity and enables Nf2-/- Schwann cells to adopt distinct programs of ErbB ligand production and polarized signaling, suggesting a self-generated model of schwannoma heterogeneity. We validated the heterogeneous distribution of biomarkers of these programs in human schwannoma and exploited the synchronous development of lesions in a mouse model to establish a quantitative pipeline for studying how schwannoma heterogeneity evolves. Our studies highlight the importance of intrinsic mechanisms of heterogeneity across human cancers.
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Affiliation(s)
- Christine Chiasson-MacKenzie
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Jeremie Vitte
- Department of Head and Neck Surgery, David Geffen School of Medicine at UCLA and Jonsson Comprehensive Cancer Center (JCCC), University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Ching-Hui Liu
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Emily A Wright
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Elizabeth A Flynn
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Center for Engineering in Medicine and BioMEMS Resource Center, Surgical Services, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
| | - Shannon L Stott
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA
- Center for Engineering in Medicine and BioMEMS Resource Center, Surgical Services, Massachusetts General Hospital, Harvard Medical School, 114 16th Street, Charlestown, MA, 02129, USA
| | - Marco Giovannini
- Department of Head and Neck Surgery, David Geffen School of Medicine at UCLA and Jonsson Comprehensive Cancer Center (JCCC), University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Andrea I McClatchey
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 149 13th Street, Charlestown, MA, 02129, USA.
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA.
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13
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Hannan CJ, Lewis D, O'Leary C, Waqar M, Brough D, Couper KN, Dyer DP, Vail A, Heal C, Macarthur J, Cooper C, Hammerbeck-Ward C, Evans DG, Rutherford SA, Lloyd SK, Mackenzie Freeman SR, Coope DJ, King AT, Pathmanaban ON. Increased Circulating Chemokines and Macrophage Recruitment in Growing Vestibular Schwannomas. Neurosurgery 2023; 92:581-589. [PMID: 36729787 DOI: 10.1227/neu.0000000000002252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/20/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND There is evidence that macrophage infiltration in the tumor microenvironment promotes vestibular schwannoma (VS) growth. Efficacy of bevacizumab in NF2-associated VS demonstrates the value of therapies targeting the microvascular tumor microenvironment, and tumor-associated macrophages (TAMs) may represent another druggable target. OBJECTIVE To characterize the relationship between growth, TAM infiltration, and circulating monocyte chemokines in a large cohort of patients with VS. METHODS Immunostaining for Iba1 (macrophages), CD31 (endothelium), and fibrinogen (permeability) was performed on 101 growing and 19 static sporadic VS. The concentrations of monocyte-specific chemokines were measured in the plasma of 50 patients with growing VS and 25 patients with static VS. RESULTS The Iba1 + cell count was significantly higher in growing as compared with static VS (592 vs 226/×20 HPF, P =<0.001). Similarly, the CD31 + % surface area was higher in growing VS (2.19% vs 1.32%, P = .01). There was a positive correlation between TAM infiltration and VS growth rate, which persisted after controlling for the effect of tumor volume (aR2 = 0.263, P =<0.001). The plasma concentrations of several monocytic chemokines were higher in patients with growing rather than static VS. CONCLUSION There is a strong positive correlation between TAM infiltration and volumetric growth of VS, and this relationship is independent of tumor size. There is a colinear relationship between TAM infiltration and tumor vascularity, implying that inflammation and angiogenesis are interlinked in VS. Chemokines known to induce monocyte chemotaxis are found in higher concentrations in patients with growing VS, suggestive of a potential pathophysiological mechanism.
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Affiliation(s)
- Cathal John Hannan
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Cardiovascular Sciences, University of Manchester, UK
| | - Daniel Lewis
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
| | - Claire O'Leary
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
| | - Mueez Waqar
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
| | - David Brough
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, UK
| | - Kevin N Couper
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Lydia Becker Institute of Inflammation and Immunology, University of Manchester, UK
| | - Douglas P Dyer
- Wellcome Centre for Cell-Matrix Research, University of Manchester, UK
| | - Andy Vail
- Centre for Biostatistics, University of Manchester, UK
| | - Calvin Heal
- Centre for Biostatistics, University of Manchester, UK
| | | | | | | | - D Gareth Evans
- St. Mary's Centre for Genomic Medicine
- Division of Evolution and Genomic Sciences, University of Manchester, UK
| | | | - Simon K Lloyd
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
- Department of Otolaryngology, Salford Royal Hospital, Manchester, UK
| | - Simon Richard Mackenzie Freeman
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
- Department of Otolaryngology, Salford Royal Hospital, Manchester, UK
| | - David John Coope
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
| | - Andrew T King
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Cardiovascular Sciences, University of Manchester, UK
| | - Omar Nathan Pathmanaban
- Manchester Centre for Clinical Neurosciences, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, Manchester, UK
- Division of Neuroscience and Experimental Psychology, University of Manchester, UK
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14
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Tumor Biology and Microenvironment of Vestibular Schwannoma-Relation to Tumor Growth and Hearing Loss. Biomedicines 2022; 11:biomedicines11010032. [PMID: 36672540 PMCID: PMC9856152 DOI: 10.3390/biomedicines11010032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
Vestibular schwannoma is the most common benign neoplasm of the cerebellopontine angle. It arises from Schwann cells of the vestibular nerve. The first symptoms of vestibular schwannoma include hearing loss, tinnitus, and vestibular symptoms. In the event of further growth, cerebellar and brainstem symptoms, along with palsy of the adjacent cranial nerves, may be present. Although hearing impairment is present in 95% of patients diagnosed with vestibular schwannoma, most tumors do not progress in size or have low growth rates. However, the clinical picture has unpredictable dynamics, and there are currently no reliable predictors of the tumor's behavior. The etiology of the hearing loss in patients with vestibular schwannoma is unclear. Given the presence of hearing loss in patients with non-growing tumors, a purely mechanistic approach is insufficient. A possible explanation for this may be that the function of the auditory system may be affected by the paracrine activity of the tumor. Moreover, initiation of the development and growth progression of vestibular schwannomas is not yet clearly understood. Biallelic loss of the NF2 gene does not explain the occurrence in all patients; therefore, detection of gene expression abnormalities in cases of progressive growth is required. As in other areas of cancer research, the tumor microenvironment is coming to the forefront, also in vestibular schwannomas. In the paradigm of the tumor microenvironment, the stroma of the tumor actively influences the tumor's behavior. However, research in the area of vestibular schwannomas is at an early stage. Thus, knowledge of the molecular mechanisms of tumorigenesis and interactions between cells present within the tumor is crucial for the diagnosis, prediction of tumor behavior, and targeted therapeutic interventions. In this review, we provide an overview of the current knowledge in the field of molecular biology and tumor microenvironment of vestibular schwannomas, as well as their relationship to tumor growth and hearing loss.
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15
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Yidian C, Chen L, Hongxia D, Yanguo L, Zhisen S. Single-cell sequencing reveals the cell map and transcriptional network of sporadic vestibular schwannoma. Front Mol Neurosci 2022; 15:984529. [PMID: 36304995 PMCID: PMC9592810 DOI: 10.3389/fnmol.2022.984529] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/01/2022] [Indexed: 11/13/2022] Open
Abstract
In this study, based on three tumor samples obtained from patients with sporadic vestibular schwannoma, 32,011 cells were obtained by single-cell transcriptome sequencing, and 22,309 high-quality cells were obtained after quality control and double cells removal. Then, 18 cell clusters were obtained after cluster analysis, and each cluster was annotated as six types of cells. Afterward, an in-depth analysis was conducted based on the defined six cell clusters, including characterizing the functional characteristics of each cell subtype, describing the cell development and differentiation pathway, exploring the interaction between cells, and analyzing the transcriptional regulatory network within the clusters. Based on these four dimensions, various types of cells in sporadic vestibular schwannoma tumor tissues were described in detail. For the first time, we expanded on the functional state of cell clusters that have been reported and described Schwann cells in the peripheral nervous system, which have not been reported in previous studies. Combined with the data of sporadic vestibular schwannoma and normal tissues in the gene expression omnibus (GEO) database, the candidate biomarkers of sporadic vestibular schwannoma were explored. Overall, this study described the single-cell map of sporadic vestibular schwannoma for the first time, revealing the functional state and development trajectory of different cell types. Combined with the analysis of data in the GEO database and immunohistochemical verification, it was concluded that HLA-DPB1 and VSIG4 may be candidate biomarkers and potential therapeutic targets for patients with sporadic vestibular schwannoma.
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Affiliation(s)
- Chu Yidian
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- School of Medicine, Ningbo University, Ningbo, China
| | - Lin Chen
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- School of Medicine, Ningbo University, Ningbo, China
| | - Deng Hongxia
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- School of Medicine, Ningbo University, Ningbo, China
| | - Li Yanguo
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, China
| | - Shen Zhisen
- The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China
- School of Medicine, Ningbo University, Ningbo, China
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16
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Surrogate vascular input function measurements from the superior sagittal sinus are repeatable and provide tissue-validated kinetic parameters in brain DCE-MRI. Sci Rep 2022; 12:8737. [PMID: 35610281 PMCID: PMC9130284 DOI: 10.1038/s41598-022-12582-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 04/27/2022] [Indexed: 01/08/2023] Open
Abstract
Accurate vascular input function (VIF) derivation is essential in brain dynamic contrast-enhanced (DCE) MRI. The optimum site for VIF estimation is, however, debated. This study sought to compare VIFs extracted from the internal carotid artery (ICA) and its branches with an arrival-corrected vascular output function (VOF) derived from the superior sagittal sinus (VOFSSS). DCE-MRI datasets from sixty-six patients with different brain tumours were retrospectively analysed and plasma gadolinium-based contrast agent (GBCA) concentration-time curves used to extract VOF/VIFs from the SSS, the ICA, and the middle cerebral artery. Semi-quantitative parameters across each first-pass VOF/VIF were compared and the relationship between these parameters and GBCA dose was evaluated. Through a test-retest study in 12 patients, the repeatability of each semiquantitative VOF/VIF parameter was evaluated; and through comparison with histopathological data the accuracy of kinetic parameter estimates derived using each VOF/VIF and the extended Tofts model was also assessed. VOFSSS provided a superior surrogate global input function compared to arteries, with greater contrast-to-noise (p < 0.001), higher peak (p < 0.001, repeated-measures ANOVA), and a greater sensitivity to interindividual plasma GBCA concentration. The repeatability of VOFSSS derived semi-quantitative parameters was good to excellent (ICC = 0.717-0.888) outperforming arterial based approaches. In contrast to arterial VIFs, kinetic parameters obtained using a SSS derived VOF permitted detection of intertumoural differences in both microvessel surface area and cell density within resected tissue specimens. These results support the usage of an arrival-corrected VOFSSS as a surrogate vascular input function for kinetic parameter mapping in brain DCE-MRI.
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17
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Moualed D, Wong J, Thomas O, Heal C, Saqib R, Choi C, Lloyd S, Rutherford S, Stapleton E, Hammerbeck-Ward C, Pathmanaban O, Laitt R, Smith M, Wallace A, Kellett M, Evans G, King A, Freeman S. Prevalence and natural history of schwannomas in neurofibromatosis type 2 (NF2): the influence of pathogenic variants. Eur J Hum Genet 2022; 30:458-464. [PMID: 35067678 PMCID: PMC8991183 DOI: 10.1038/s41431-021-01029-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 11/06/2021] [Accepted: 12/13/2021] [Indexed: 11/09/2022] Open
Abstract
This study explores the natural history of vestibular, trigeminal and lower cranial nerve schwannomas (VS, TS, LCNS) in patients with Neurofibromatosis type 2 (NF2), to understand how pathogenic variants (PVs) of the NF2 gene affect tumour burden and growth rate, via a retrospective analysis of a UK NF2 centre database and imaging. VS, TS and LCNS location and size were measured in accordance with a standardised protocol. PVs were categorised in accordance with the UK NF2 Genetic Severity Score (GSS). 153 patients (age 5-82) had 458 schwannomas, of which 362 were previously untreated comprising: 204 VS, 93 TS, and 65 LCNS (IX, X, XI). 322 schwannomas had sequential imaging allowing growth rate analysis with a mean follow-up of 45 months. VS were universally present, and bilateral in 146/153 cases. 65% of tumours grew >2 mm during the study period at mean rate 2.0 mm/year. Significant association was found between increasing GSS and growth rate. TS occurred in 66/153 patients (bilateral in 27/153); 31% of tumours showed growth (mean 1.8 mm/yr). Significant increase in tumour prevalence was noted with increasing GSS. LCNS were found in 47/153 patients (bilateral in 19/153); 27% of tumours showed growth (mean 1.9 mm/yr). The trend for increased prevalence with increasing GSS did not reach significance. VS growth rate was significantly influenced by GSS and they were much more likely to grow than TS and LCNS. TS prevalence also correlated with increasing GSS.
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Affiliation(s)
- Daniel Moualed
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
- Department of Otolaryngology, Great Western Hospitals NHS Foundation Trust, Swindon, UK
| | - Jonathan Wong
- The University of Manchester, Manchester, UK
- Department of Otolaryngology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Owen Thomas
- Department of Neuroradiology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Calvin Heal
- Centre for Biostatistics, The University of Manchester, Manchester, UK
| | - Rukhtam Saqib
- Department of Neuroradiology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Cameron Choi
- Department of Neuroradiology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Simon Lloyd
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Scott Rutherford
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | - Emma Stapleton
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Omar Pathmanaban
- Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | - Roger Laitt
- Department of Neuroradiology, Salford Royal NHS Foundation Trust, Salford, UK
| | - Miriam Smith
- Genomic Medicine, The University of Manchester, Manchester, UK
| | - Andrew Wallace
- Genomic Medicine, The University of Manchester, Manchester, UK
| | - Mark Kellett
- Department of Neurology, Manchester University NHS Foundation Trust, Manchester, UK
| | - Gareth Evans
- Genomic Medicine, The University of Manchester, Manchester, UK
| | - Andrew King
- The University of Manchester, Manchester, UK
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, UK
| | - Simon Freeman
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester, UK.
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18
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Hwang I, Choi SH, Kim JW, Yeon EK, Lee JY, Yoo RE, Kang KM, Yun TJ, Kim JH, Sohn CH. Response prediction of vestibular schwannoma after gamma-knife radiosurgery using pretreatment dynamic contrast-enhanced MRI: a prospective study. Eur Radiol 2022; 32:3734-3743. [PMID: 35084518 DOI: 10.1007/s00330-021-08517-1] [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: 06/07/2021] [Revised: 11/09/2021] [Accepted: 12/10/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES There are few known predictive factors for response to gamma-knife radiosurgery (GKRS) in vestibular schwannoma (VS). We investigated the predictive role of pretreatment dynamic contrast-enhanced (DCE)-MRI parameters regarding the tumor response after GKRS in sporadic VS. METHODS This single-center prospective study enrolled participants between April 2017 and February 2019. We performed a volumetric measurement of DCE-MRI-derived parameters before GKRS. The tumor volume was measured in a follow-up MRI. The pharmacokinetic parameters were compared between responders and nonresponders according to 20% or more tumor volume reduction. Stepwise multivariable logistic regression analyses were performed, and the diagnostic performance of DCE-MRI parameters for the prediction of tumor response was evaluated by receiver operating characteristic curve analysis. RESULTS Ultimately, 35 participants (21 women, 52 ± 12 years) were included. There were 22 (62.9%) responders with a mean follow-up interval of 30.2 ± 5.7 months. Ktrans (0.036 min-1 vs. 0.057 min-1, p = .008) and initial area under the time-concentration curve within 90 s (IAUC90) (84.4 vs. 143.6, p = .003) showed significant differences between responders and nonresponders. Ktrans (OR = 0.96, p = .021) and IAUC90 (OR = 0.97, p = .004) were significant differentiating variables in each multivariable model with clinical variables for tumor response prediction. Ktrans showed a sensitivity of 81.8% and a specificity of 69.2%, and IAUC90 showed a sensitivity of 100% and a specificity of 53.8% for tumor response prediction. CONCLUSION DCE-MRI (particularly Ktrans and IAUC90) has the potential to be a predictive factor for tumor response in VS after GKRS. KEY POINTS •Pretreatment prediction of gamma-knife radiosurgery response in vestibular schwannoma is still challenging. •Dynamic contrast-enhanced MRI could have predictive value for the response of vestibular schwannoma after gamma-knife radiosurgery.
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Affiliation(s)
- Inpyeong Hwang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Seung Hong Choi
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul, 08826, Republic of Korea.
| | - Jin Wook Kim
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Eung Koo Yeon
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Koung Mi Kang
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Jin Yun
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.,Institute of Radiation Medicine, Seoul National University Medical Research Center, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
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19
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Ota Y, Liao E, Capizzano AA, Baba A, Kurokawa R, Kurokawa M, Srinivasan A. Neurofibromatosis type 2 versus sporadic vestibular schwannoma: The utility of MR diffusion and dynamic contrast-enhanced imaging. J Neuroimaging 2022; 32:554-560. [PMID: 35037337 DOI: 10.1111/jon.12966] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 12/27/2021] [Accepted: 12/28/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE The goal of this study was to assess the utility of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to distinguish sporadic vestibular schwannomas (VSs) from those related to neurofibromatosis type 2 (NF2). METHODS We retrospectively reviewed 265 patients pathologically diagnosed with VSs between January 2015 and October 2020 in a single institution. There were 28 patients (male: 19, female: 9; age 11-67 years) including 23 sporadic and five NF2-related VSs, who had pretreatment DWI and DCE-MRI. Normalized mean apparent diffusion coefficient (nADCmean) and DCE-MRI parameters along with tumor characteristics were compared between sporadic and NF2-related VSs as appropriate. The diagnostic performances were calculated based on the receiver operating characteristic curve analysis for the values that showed significant differences. To identify significant modalities, multivariate logistic regression analysis was performed using nADCmean and the combination of statistically significant DCE-MRI parameters. RESULTS NADCmean, fractional volume of extracellular space (Ve), and forward volume transfer constant (Ktrans) were significantly different between sporadic and NF2-related VSs (nADCmean: median 1.62 vs. 1.16, P = .002; Ve: median 0.40 vs. 0.66, P = .007; Ktrans: median 0.17 vs. 0.33, P = .007), whereas fractional plasma volume (Vp), reverse reflux rate constant (Kep), and tumor characteristics were not. The diagnostic performances of nADCmean, Ve, and Ktrans were 0.93, 0.90, and 0.90 area under the curves with cutoffs of 1.46, 0.51, and 0.29, respectively. nADCmean and the combination of Ve and Ktrans were both chosen as significant differentiators by multivariate logistic regression analysis (P = .027). CONCLUSIONS DWI and DCE-MRI are both promising modalities to distinguish sporadic and NF2-related VSs.
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Affiliation(s)
- Yoshiaki Ota
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Eric Liao
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Aristides A Capizzano
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Akira Baba
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ryo Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Mariko Kurokawa
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ashok Srinivasan
- Division of Neuroradiology, Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
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20
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Wach J, Güresir Á, Borger V, Schuss P, Becker A, Coch C, Schmitz MT, Hölzel M, Toma M, Herrlinger U, Vatter H, Güresir E. Elevated baseline C-reactive protein levels predict poor progression-free survival in sporadic vestibular schwannoma. J Neurooncol 2021; 156:365-375. [PMID: 34882287 PMCID: PMC8816751 DOI: 10.1007/s11060-021-03918-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 12/01/2021] [Indexed: 01/01/2023]
Abstract
Background Recent investigations showed emerging evidence of the role of inflammation in the growth of sporadic vestibular schwannoma (VS). The present retrospective study investigated the impact of systemic inflammation on tumor progression using serum C-reactive protein (CRP) levels in a series of 87 surgically treated sporadic VS patients. Methods The optimal cut-off value for CRP was defined as 3.14 mg/dl according to the receiver operating characteristic curve (AUC: 0.70, 95% CI 0.47–0.92). Patient cohort was dichotomized into normal (n = 66; < 3.14 mg/dl) and high baseline (n = 21; ≥ 3.14 mg/dl) CRP groups. Results No significant differences in age, sex, comorbidities influencing the systemic inflammatory state, Karnofsky performance status (KPS), tumor size, extent of resection, or MIB-1 index were identified between the two groups defined by the baseline CRP levels. Univariable analysis demonstrated that a high CRP level (≥ 3.14 mg/dl) is significantly associated with a shortened progression-free survival (PFS) (hazard ratio (HR): 6.05, 95% CI 1.15–31.95, p = 0.03). Multivariable Cox regression analysis considering age, extent of resection, KPS, tumor size, and baseline CRP confirmed that an elevated CRP level (≥ 3.14 mg/dl) is an independent predictor of shortened PFS (HR: 7.20, 95% CI 1.08–48.14, p = 0.04). Conclusions The baseline CRP level thus serves as an independent predictor of PFS. Further investigations of the role of inflammation and tumor inflammatory microenvironment in the prediction of prognosis in sporadic VS are needed. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1007/s11060-021-03918-0.
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Affiliation(s)
- Johannes Wach
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany.
| | - Ági Güresir
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany
| | - Valeri Borger
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany
| | - Patrick Schuss
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany
| | - Albert Becker
- Department of Neuropathology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Christoph Coch
- Institute of Clinical Chemistry and Clinical Pharmacology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Marie-Therese Schmitz
- Department of Medical Biometry, Informatics and Epidemiology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Michael Hölzel
- Institute of Experimental Oncology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Marieta Toma
- Institute of Pathology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Ulrich Herrlinger
- Division of Clinical Neurooncology, Department of Neurology and Centre of Integrated Oncology, Rheinische Friedrich-Wilhelms-University, Bonn, Germany
| | - Hartmut Vatter
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany
| | - Erdem Güresir
- Department of Neurosurgery, Rheinische Friedrich-Wilhelms-University, Venusberg-Campus 1, Bonn, Germany
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21
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Zhang Y, Long J, Ren J, Huang X, Zhong P, Wang B. Potential Molecular Biomarkers of Vestibular Schwannoma Growth: Progress and Prospects. Front Oncol 2021; 11:731441. [PMID: 34646772 PMCID: PMC8503266 DOI: 10.3389/fonc.2021.731441] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 09/06/2021] [Indexed: 12/25/2022] Open
Abstract
Vestibular schwannomas (VSs, also known as acoustic neuromas) are relatively rare benign brain tumors stem from the Schwann cells of the eighth cranial nerve. Tumor growth is the paramount factor for neurosurgeons to decide whether to choose aggressive treatment approach or careful follow-up with regular magnetic resonance imaging (MRI), as surgery and radiation can introduce significant trauma and affect neurological function, while tumor enlargement during long-term follow-up will compress the adjacent nerves and tissues, causing progressive hearing loss, tinnitus and vertigo. Recently, with the deepening research of VS biology, some proteins that regulate merlin conformation changes, inflammatory cytokines, miRNAs, tissue proteins and cerebrospinal fluid (CSF) components have been proposed to be closely related to tumor volume increase. In this review, we discuss advances in the study of biomarkers that associated with VS growth, providing a reference for exploring the growth course of VS and determining the optimal treatment strategy for each patient.
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Affiliation(s)
- Yu Zhang
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianfei Long
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
| | - Junwei Ren
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiang Huang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Ping Zhong
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
| | - Bin Wang
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China
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22
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Lewis D, McHugh DJ, Li KL, Zhu X, Mcbain C, Lloyd SK, Jackson A, Pathmanaban ON, King AT, Coope DJ. Detection of early changes in the post-radiosurgery vestibular schwannoma microenvironment using multinuclear MRI. Sci Rep 2021; 11:15712. [PMID: 34344960 PMCID: PMC8333359 DOI: 10.1038/s41598-021-95022-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 07/05/2021] [Indexed: 01/01/2023] Open
Abstract
Stereotactic radiosurgery (SRS) is an established, effective therapy against vestibular schwannoma (VS). The mechanisms of tumour response are, however, unknown and in this study we sought to evaluate changes in the irradiated VS tumour microenvironment through a multinuclear MRI approach. Five patients with growing sporadic VS underwent a multi-timepoint comprehensive MRI protocol, which included diffusion tensor imaging (DTI), dynamic contrast-enhanced (DCE) MRI and a spiral 23Na-MRI acquisition for total sodium concentration (TSC) quantification. Post-treatment voxelwise changes in TSC, DTI metrics and DCE-MRI derived microvascular biomarkers (Ktrans, ve and vp) were evaluated and compared against pre-treatment values. Changes in tumour TSC and microvascular parameters were observable as early as 2 weeks post-treatment, preceding changes in structural imaging. At 6 months post-treatment there were significant voxelwise increases in tumour TSC (p < 0.001) and mean diffusivity (p < 0.001, repeated-measures ANOVA) with marked decreases in tumour microvascular parameters (p < 0.001, repeated-measures ANOVA). This study presents the first in vivo evaluation of alterations in the VS tumour microenvironment following SRS, demonstrating that changes in tumour sodium homeostasis and microvascular parameters can be imaged as early as 2 weeks following treatment. Future studies should seek to investigate these clinically relevant MRI metrics as early biomarkers of SRS response.
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Affiliation(s)
- Daniel Lewis
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK.
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK.
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK.
| | - Damien J McHugh
- Division of Cancer Sciences, University of Manchester, Manchester, UK
| | - Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Catherine Mcbain
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Department of Clinical Oncology, Christie NHS Foundation Trust, Manchester, UK
| | - Simon K Lloyd
- Department of Otolaryngology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Department of Otolaryngology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Cell Matrix Biology & Regenerative Medicine, Faculty of Biology Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Andrew T King
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, Faculty of Biology Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, UK
| | - David J Coope
- Dept. of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Stott Lane, Salford, Greater Manchester, M6 8HD, UK
- Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Group, University of Manchester, Manchester, UK
- Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
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23
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Li KL, Lewis D, Coope DJ, Roncaroli F, Agushi E, Pathmanaban ON, King AT, Zhao S, Jackson A, Cootes T, Zhu X. The LEGATOS technique: A new tissue-validated dynamic contrast-enhanced MRI method for whole-brain, high-spatial resolution parametric mapping. Magn Reson Med 2021; 86:2122-2136. [PMID: 33991126 DOI: 10.1002/mrm.28842] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 04/23/2021] [Accepted: 04/24/2021] [Indexed: 01/06/2023]
Abstract
PURPOSE A DCE-MRI technique that can provide both high spatiotemporal resolution and whole-brain coverage for quantitative microvascular analysis is highly desirable but currently challenging to achieve. In this study, we sought to develop and validate a novel dual-temporal resolution (DTR) DCE-MRI-based methodology for deriving accurate, whole-brain high-spatial resolution microvascular parameters. METHODS Dual injection DTR DCE-MRI was performed and composite high-temporal and high-spatial resolution tissue gadolinium-based-contrast agent (GBCA) concentration curves were constructed. The high-temporal but low-spatial resolution first-pass GBCA concentration curves were then reconstructed pixel-by-pixel to higher spatial resolution using a process we call LEGATOS. The accuracy of kinetic parameters (Ktrans , vp , and ve ) derived using LEGATOS was evaluated through simulations and in vivo studies in 17 patients with vestibular schwannoma (VS) and 13 patients with glioblastoma (GBM). Tissue from 15 tumors (VS) was examined with markers for microvessels (CD31) and cell density (hematoxylin and eosin [H&E]). RESULTS LEGATOS derived parameter maps offered superior spatial resolution and improved parameter accuracy compared to the use of high-temporal resolution data alone, provided superior discrimination of plasma volume and vascular leakage effects compared to other high-spatial resolution approaches, and correlated with tissue markers of vascularity (P ≤ 0.003) and cell density (P ≤ 0.006). CONCLUSION The LEGATOS method can be used to generate accurate, high-spatial resolution microvascular parameter estimates from DCE-MRI.
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Affiliation(s)
- Ka-Loh Li
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Daniel Lewis
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom.,Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
| | - David J Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Federico Roncaroli
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Erjon Agushi
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Omar N Pathmanaban
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Cell Matrix Biology & Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Andrew T King
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom.,Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom.,Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Sha Zhao
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Alan Jackson
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Timothy Cootes
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
| | - Xiaoping Zhu
- Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom
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24
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Gonçalves VM, Suhm EM, Ries V, Skardelly M, Tabatabai G, Tatagiba M, Schittenhelm J, Behling F. Macrophage and Lymphocyte Infiltration Is Associated with Volumetric Tumor Size but Not with Volumetric Growth in the Tübingen Schwannoma Cohort. Cancers (Basel) 2021; 13:cancers13030466. [PMID: 33530441 PMCID: PMC7865601 DOI: 10.3390/cancers13030466] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/17/2021] [Accepted: 01/21/2021] [Indexed: 01/22/2023] Open
Abstract
Most patients with vestibular schwannomas can be cured with microsurgical resection, or tumor growth can be stabilized by radiotherapy in certain cases. Recurrence is rare but usually difficult to treat. Treatment alternatives to local therapies are not established. There is growing evidence of the role of inflammatory processes in schwannomas, which may be exploitable by targeted innovative therapies. To further define the impact of inflammation with tumor growth in vestibular schwannoma, we performed immunohistochemical analyses of CD3, CD8, CD68 and CD163 to assess lymphocyte and macrophage infiltration in 923 tumor tissue samples of surgically resected vestibular schwannomas. An inflammatory score was compared with tumor size and volumetric growth. We observed a significantly larger preoperative tumor size with increased expression rates of CD3, CD8, CD68 and CD163 (p < 0.0001, p < 0.0001, p = 0.0015 and p < 0.0001, respectively), but no differences in percentual volumetric tumor growth. When all four markers were combined as an inflammatory score, tumors with high inflammatory infiltration showed slower percentual growth in a multivariate analysis, including MIB1 expression (p = 0.0249). We conclude that inflammatory cell infiltration increases with larger tumor size but is associated with slower percentual volumetric tumor growth.
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Affiliation(s)
- Vítor Moura Gonçalves
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal
| | - Elisa-Maria Suhm
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
| | - Vanessa Ries
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
| | - Marco Skardelly
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
| | - Ghazaleh Tabatabai
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
- Department of Neurology and Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
- German Cancer Consortium (DKTK), DKFZ Partner Site Tübingen, 72076 Tübingen, Germany
| | - Marcos Tatagiba
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
| | - Jens Schittenhelm
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
- Department of Neuropathology, Institute of Pathology and Neuropathology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Felix Behling
- Department of Neurosurgery, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany; (V.M.G.); (E.-M.S.); (V.R.); (M.S.); (G.T.); (M.T.)
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen -Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany;
- Correspondence:
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