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Mapping p53 Mutations in Low-Grade Glioma: A Voxel-Based Neuroimaging Analysis

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机构: [1]Capital Med Univ, Sch Publ Hlth & Family Med, Beijing Neurosurg Inst, Beijing 100050, Peoples R China; [2]Capital Med Univ, Sch Publ Hlth & Family Med, Dept Epidemiol & Biostat, Beijing 100050, Peoples R China; [3]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing 100050, Peoples R China; [4]Capital Med Univ, Beijing Tiantan Hosp, Dept Neuroradiol, Beijing 100050, Peoples R China; [5]MR Collaborat NE Asia, Siemens Healthcare, Beijing, Peoples R China; [6]China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China; [7]Beijing Inst Brain Disorders, Beijing, Peoples R China; [8]Capital Med Univ, Beijing Neurosurg Inst, 6 Ttantanxili, Beijing 100050, Peoples R China
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BACKGROUND AND PURPOSE: Brain tumor location has proved to be a prognostic factor that may be associated with features of neoplastic origin. Mutation of p53 is an atypical genetic change that occurs during tumorigenesis. Thus, a potential correlation may exist between tumor location and p53 status. The purpose of the current study was to identify anatomic characteristics of mutant p53 expression by using quantitative neuroimaging analyses. MATERIALS AND METHODS: Preoperative MR images from 182 patients with histologically confirmed low-grade gliomas were retrospectively analyzed. All tumors were manually marked and registered to the standard space. Using a voxel-based lesion-symptom mapping analysis, we located brain regions associated with a high occurrence of p53 mutation and corrected them by using a permutation test. The acquired clusters were further included as a factor in survival analyses. RESULTS: Statistical analysis demonstrated that the left medial temporal lobe and right anterior temporal lobe were specifically associated with high expression of mutant p53. Kaplan-Meier curves showed that tumors located in these regions were associated with significantly worse progression-free survival compared with tumors occurring elsewhere. CONCLUSIONS: Our voxel-level imaging analysis provides new evidence that genetic changes during cancer may have anatomic specificity. Additionally, the current study suggests that tumor location identified on structural MR images could potentially be used for customized presurgical outcome prediction.

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出版当年[2014]版:
大类 | 3 区 医学
小类 | 2 区 神经成像 2 区 核医学 3 区 临床神经病学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 临床神经病学 3 区 神经成像 3 区 核医学
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出版当年[2013]版:
Q1 NEUROIMAGING Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q1 CLINICAL NEUROLOGY
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q2 CLINICAL NEUROLOGY Q2 NEUROIMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2013版] 出版当年五年平均 出版前一年[2012版] 出版后一年[2014版]

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第一作者机构: [1]Capital Med Univ, Sch Publ Hlth & Family Med, Beijing Neurosurg Inst, Beijing 100050, Peoples R China; [3]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing 100050, Peoples R China;
通讯作者:
通讯机构: [1]Capital Med Univ, Sch Publ Hlth & Family Med, Beijing Neurosurg Inst, Beijing 100050, Peoples R China; [3]Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing 100050, Peoples R China; [7]Beijing Inst Brain Disorders, Beijing, Peoples R China; [8]Capital Med Univ, Beijing Neurosurg Inst, 6 Ttantanxili, Beijing 100050, Peoples R China
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