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Outcome-based determination of optimal pyrosequencing assay for MGMT methylation detection in glioblastoma patients

机译:基于结果的胶质母细胞瘤患者MGMT甲基化检测最佳焦磷酸测序方法的确定

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摘要

The methylation of O6-methylguanine DNA methyltransferase (MGMT) gene promoter is a key biological marker in clinical neuro-oncology. Nevertheless, there is no consensus concerning the best technique for its assessment. In a recent study comparing five methods to analyze MGMT status, we found that the best prediction of survival was obtained with a pyrosequencing (PSQ) test assessing methylation of 5 CpGs (CpGs 74–78). In the present study we extended our PSQ analysis to 16 CpGs (CpGs 74–89) identified as critical for transcriptional control of the gene. The predictive value of the methylation levels at each CpG, as well as the mean methylation levels of selected sets of consecutive CpGs was tested in a cohort of 89 de novo glioblastoma patients who had received standard of care treatment (Stupp protocol). Using an optimal risk cut-off, each CpG or combination of CpGs, was associated with overall survival (OS) and progression free survival. The best predictive models for OS after stratification on performance score and age were obtained with CpG 89, CpG 84 and mean methylation of CpG 84–88 (Hazard ratio (HR), 0.31; p < 0.0001). The improvement compared to the predictive value of the test analyzing average methylation of CpG 74–78 (HR, 0.32; p < 0.0001) was however marginal. We recommend to test CpGs 74–78 when analyzing MGMT methylation status by PSQ because a commercial kit that has successfully been used in several studies is available, allowing reproducible and comparable results from one laboratory to another.Electronic supplementary materialThe online version of this article (doi:10.1007/s11060-013-1332-y) contains supplementary material, which is available to authorized users.
机译:O 6 -甲基鸟嘌呤DNA甲基转移酶(MGMT)基因启动子的甲基化是临床神经肿瘤学中的关键生物学标记。但是,关于最佳评估技术尚无共识。在最近的一项研究中,比较了五种分析MGMT状态的方法,我们发现,通过焦磷酸测序(PSQ)测试评估5个CpGs(CpGs 74-78)的甲基化可获得最佳的生存预测。在本研究中,我们将PSQ分析扩展到了16个CpG(CpGs 74–89),这些CpGs被认为对该基因的转录控制至关重要。在一组接受标准治疗(Stupp方案)的89例新生胶质母细胞瘤患者中测试了每个CpG甲基化水平的预测值以及选定的连续CpGs组的平均甲基化水平。使用最佳风险分界,每种CpG或CpG的组合均与总体生存期(OS)和无进展生存期相关。使用CpG 89,CpG 84和CpG 84-88的平均甲基化(危险比(HR),0.31; p <0.0001),获得了对性能评分和年龄分层后OS的最佳预测模型。然而,与分析CpG 74-78的平均甲基化的测试的预测值相比的改善(HR,0.32; p <0.0001)是微不足道的。我们建议在通过PSQ分析MGMT甲基化状态时测试CpG 74–78,因为可以使用已经在多项研究中成功使用的商业试剂盒,从而可以从一个实验室到另一个实验室获得可重复的可比结果。电子补充材料本文的在线版本( doi:10.1007 / s11060-013-1332-y)包含补充材料,授权用户可以使用。

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