Ngan Nguyen, Jordan Redfield, Matthew Ballo, Madison Michael, Jeffrey Sorenson, Daniel Dibaba, Jim Wan, Glenda Delgado Ramos, Manjari Pandey
{"title":"Identifying the optimal cutoff point for MGMT promoter methylation status in glioblastoma.","authors":"Ngan Nguyen, Jordan Redfield, Matthew Ballo, Madison Michael, Jeffrey Sorenson, Daniel Dibaba, Jim Wan, Glenda Delgado Ramos, Manjari Pandey","doi":"10.2217/cns-2021-0002","DOIUrl":null,"url":null,"abstract":"<p><p><b>Aim:</b> To define the optimal cutoff point for determining methylation status of O6-methylguanine-DNA methyltransferase (MGMT) by pyrosequencing in glioblastoma. <b>Patients & methods:</b> A retrospective study of 109 glioblastoma patients was performed to determine the optimal cutoff point for MGMT methylation status. <b>Results:</b> Receiver operating characteristic (ROC) analysis revealed 21% as the optimal cutoff (sensitivity: 68%; specificity: 59%) for MGMT methylation corresponding with the highest likelihood ratio of 1.66 and accuracy of 0.65. Methylation status (hazard ratio: 0.453; 95% CI: 0.279-0.735; p = 0.001) was associated with better overall survival. The crude model indicated linearity between methylation percent and survival rate; an increase of 10% of methylation resulted in a reduction of risk of death by 20% (p = 0.004). <b>Conclusion:</b> ROC analysis determined 21% as the optimal cutoff point for MGMT methylation status by pyrosequencing.</p>","PeriodicalId":10469,"journal":{"name":"CNS Oncology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/14/0e/cns-10-74.PMC8461752.pdf","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CNS Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/cns-2021-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 9
Abstract
Aim: To define the optimal cutoff point for determining methylation status of O6-methylguanine-DNA methyltransferase (MGMT) by pyrosequencing in glioblastoma. Patients & methods: A retrospective study of 109 glioblastoma patients was performed to determine the optimal cutoff point for MGMT methylation status. Results: Receiver operating characteristic (ROC) analysis revealed 21% as the optimal cutoff (sensitivity: 68%; specificity: 59%) for MGMT methylation corresponding with the highest likelihood ratio of 1.66 and accuracy of 0.65. Methylation status (hazard ratio: 0.453; 95% CI: 0.279-0.735; p = 0.001) was associated with better overall survival. The crude model indicated linearity between methylation percent and survival rate; an increase of 10% of methylation resulted in a reduction of risk of death by 20% (p = 0.004). Conclusion: ROC analysis determined 21% as the optimal cutoff point for MGMT methylation status by pyrosequencing.