4.7 Article

Correlation of apparent diffusion coefficient values measured by diffusion MRI and MGMT promoter methylation semiquantitatively analyzed with MS-MLPA in patients with glioblastoma multiforme

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 37, 期 2, 页码 351-358

出版社

WILEY
DOI: 10.1002/jmri.23838

关键词

apparent diffusion coefficient (ADC); O6-methylguanine DNA methyltransferase (MGMT); methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA); methylation ratio; glioblastoma

资金

  1. National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea [1120300]
  2. Korea Healthcare Technology R&D Projects, Ministry for Health, Welfare Family Affairs [A112028]
  3. Korea Health Promotion Institute [1120300, A112028] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Purpose: To retrospectively determine whether the apparent diffusion coefficient (ADC) values correlate with O6-methylguanine DNA methyltransferase (MGMT) promoter methylation semiquantitatively analyzed by methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA) in patients with glioblastoma. Materials and Methods: The study was approved by the Institutional Review Board and was Health Insurance Portability and Accountability Act (HIPAA) compliant. Newly diagnosed patients with glioblastoma (n = 26) were analyzed with an ADC histogram approach based on enhancing solid portion. The methylation status of MGMT promoter was assessed by methylation-specific polymerase chain reaction (MSP) and by MS-MLPA. MS-MLPA is a semiquantitative method that determines the methylation ratio. The Ki-67 labeling index was also analyzed. The mean and 5th percentile ADC values were correlated with MGMT promoter methylation status and Ki-67 labeling index using a linear regression model. Progression-free survival (PFS) was also correlated with the ADC values using KaplanMeier survival analysis. Results: The mean methylation ratio was 0.21 +/- 0.20. By MSP, there were 5 methylated and 21 unmethylated tumors. The mean ADC revealed a positive relationship with MGMT promoter methylation ratio (P = 0.015) and was also significantly different according to MSP-determined methylation status (P = 0.011). Median PFS was significantly related with methylation ratio (P = 0.017) and MSP-derived methylation status (P = 0.025). A positive relationship was demonstrated between PFS and the mean ADC value (P = 0.001). The 5th percentile ADC values showed a significant negative relationship with Ki-67 labeling index (P = 0.036). Conclusion: We found that ADC values were significantly correlated with PFS as well as with MGMT promoter methylation status. We believe that ADC values may merit further investigation as a noninvasive biomarker for predicting treatment response. J. Magn. Reson. Imaging 2013;37:351358. (C) 2012 Wiley Periodicals, Inc.

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