Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Mapping p53 Mutations in Low-Grade Glioma:AVoxel-Based Neuroimaging Analysis
First author：Y.Y. Wang, T. Zhang
Corresponding author：T. Jiang
essential_information
- Person in charge：Y.Y. Wang, T. Zhang
- Data Sources： OTHERS
- Number of papers：OTHERS20190313
- Published time：2015-01-01
2015-01-01
Published articles
Journal：American Journal of Neuroradiology
Publication type: Original Research
IF(IF): 3.825
PMID: 25104286 Link To Pubmed Full text Download
Background And Purpose
Method
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.
Conclusion
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.
Main 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.