ArticleAJNR. American journal of neuroradiology2015
Mapping p53 mutations in low-grade glioma: a voxel-based neuroimaging analysis.
Article in AJNR. American journal of neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 31 citations in OpenAlex.
- MRI features can predict EGFR expression in lower grade gliomas: A voxel-based radiomic analysis.European radiology · 2018Trial
- A targeted next-generation sequencing panel for identification of clinically relevant mutation profiles in solid tumours.Scientific reports · 2025Article
- Role of Amide Proton Transfer Weighted MRI in Predicting MGMTp Methylation Status, p53-Status, Ki-67 Index, IDH-Status, and ATRX Expression in WHO Grade 4 High Grade Glioma.Tomography (Ann Arbor, Mich.) · 2025Article
- Voxel-based mapping of postoperative epilepsy risk in glioma patients: supplementary motor area and limbic system correlations.Frontiers in neurology · 2025Article
- Glioma lateralization: Focus on the anatomical localization and the distribution of molecular alterations (Review).Oncology reports · 2024Review
- Pan-cancer multi-omics analysis of PTBP1 reveals it as an inflammatory, progressive and prognostic marker in glioma.Scientific reports · 2024Article
- The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma.Frontiers in neurology · 2023Article
- Gliomas - An experience based on molecular markers.Journal of family medicine and primary care · 2021Article
- Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences.Frontiers in oncology · 2021Review
- Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study.Frontiers in oncology · 2020Article
- Clinical Targeted Next-Generation sequencing Panels for Detection of Somatic Variants in Gliomas.Cancer research and treatment · 2020Article
- Dysregulated Expression and Methylation Analysis IdentifiedInternational journal of genomics · 2020Article
- Detection and Correlation of Single and ConcomitantInternational journal of molecular sciences · 2019Article
- Regional specificity of 1p/19q co-deletion combined with radiological features for predicting the survival outcomes of anaplastic oligodendroglial tumor patients.Journal of neuro-oncology · 2018Article
- MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.NeuroImage. Clinical · 2018Article
- Anatomic mapping of molecular subtypes in diffuse glioma.BMC neurology · 2017Article
- Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma.European radiology · 2017Article
- Genomic profiling of long non-coding RNA and mRNA expression associated with acquired temozolomide resistance in glioblastoma cells.International journal of oncology · 2017Article
- IDH mutation and 1p19q codeletion distinguish two radiological patterns of diffuse low-grade gliomas.Journal of neuro-oncology · 2017Article
- Anatomical specificity of vascular endothelial growth factor expression in glioblastomas: a voxel-based mapping analysis.Neuroradiology · 2016Article
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeBrain 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
methodsPreoperative 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.
resultsStatistical 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.
conclusionsOur 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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