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Regional specificity of matrix metalloproteinase-9 expression in the brain: voxel-level mapping in primary glioblastomas

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机构: [a]Department of Neuroelectrophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China [b]Department of Neuroradiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China [c]Department of Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, No. 6 Tiantan Xili, Beijing 100050, China [d]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China [e]China National Clinical Research Center for Neurological Diseases, China
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AIM: To investigate the anatomical specificity of matrix metalloproteinase-9 (MMP-9) expression in glioblastomas by using voxel-based neuroimaging analysis. MATERIALS AND METHODS: Clinical information and preoperative magnetic resonance images of 133 patients with glioblastomas were reviewed. Evaluation of MMP-9 expression was performed by using immunohistochemistry. Tumour lesions were segmented manually basing on the structural image of each patient, then registered to a standard brain atlas. Voxel-based regression analysis was subsequently performed to identify the specific brain regions that were associated with MMP-9 expression levels. RESULTS: A significantly larger lesion volume of T2-hyperintensity was demonstrated in tumours with low MMP-9 expression compared to those with high MMP-9 expression (p=0.010). No significant difference was found in the lesion volumes of the contrast enhancement areas between the two groups (p=0.452). The major correlated cluster with high MMP-9 expression was identified in the right frontal lobe, while a cluster located at the posterior region of the right lateral ventricle was correlated with low MMP-9 expression. CONCLUSION: Voxel-based statistical analysis revealed the anatomical specificity of MMP-9 expression levels in glioblastoma. The identified correlation between molecular biomarkers and anatomical distribution may increase our understanding of the biological characteristics of glioblastoma and provide new insight into the molecular subtypes of glioblastoma. (C) 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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出版当年[2017]版:
大类 | 4 区 医学
小类 | 3 区 核医学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 核医学
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出版当年[2016]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2016版] 出版当年五年平均 出版前一年[2015版] 出版后一年[2017版]

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第一作者机构: [a]Department of Neuroelectrophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China
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通讯机构: [d]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China [e]China National Clinical Research Center for Neurological Diseases, China [*1]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China [*2]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
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