定义o6 -甲基鸟嘌呤- dna甲基转移酶启动子甲基化焦磷酸测序报告中的推荐灰色地带:一种实施新的EANO指南的稳健、可翻译的方法。

IF 3.7 Q1 CLINICAL NEUROLOGY
Neuro-oncology advances Pub Date : 2025-03-22 eCollection Date: 2025-01-01 DOI:10.1093/noajnl/vdaf061
Polly Taylor, Gabrielle Cruickshank, Jack Wildman, George Doyle, Ed Whittaker, Sara Walker, Claire McKeeve, Claire Faulkner, Laura Yarram-Smith, Paul White, Kathreena M Kurian
{"title":"定义o6 -甲基鸟嘌呤- dna甲基转移酶启动子甲基化焦磷酸测序报告中的推荐灰色地带:一种实施新的EANO指南的稳健、可翻译的方法。","authors":"Polly Taylor, Gabrielle Cruickshank, Jack Wildman, George Doyle, Ed Whittaker, Sara Walker, Claire McKeeve, Claire Faulkner, Laura Yarram-Smith, Paul White, Kathreena M Kurian","doi":"10.1093/noajnl/vdaf061","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) may cause resistance of tumor cells to alkylating agents and is a predictive biomarker in high-grade gliomas treated with temozolomide. Recent European Association of Neuro-Oncology (EANO) guidelines recommend internal validation of MGMT methylation cutoffs and reporting of gray zone values. This study aimed to develop a method to derive a gray zone from pyrosequencing MGMT methylation data.</p><p><strong>Methods: </strong>We developed a method to find the optimal gray zone using pyrosequencing MGMT methylation values (CpG sites 72-83) from 308 glioblastoma cases with overall survival data. Each integer below the methylated threshold defined a new possible gray zone and categorization which was used as a variable in a multivariate Cox proportional hazards regression model. The optimal gray zone was selected as the option that had a statistically different survival function from the methylated and unmethylated groups, with the largest log-likelihood ratio test statistic. We applied the method to a validation cohort of 115 glioblastoma cases.</p><p><strong>Results: </strong>Our method successfully identified a gray zone in our development cohort. The following categorization gave 3 distinct survival functions: methylated ≥12% (<i>n</i> = 152 cases), gray zone 5%-12% (<i>n</i> = 43), and unmethylated <5% (<i>n</i> = 113). This categorization was better at predicting survival than the existing categorization (methylated ≥12%, unmethylated <12%). Validating our method showed a sufficient sample size and time to follow up is recommended to apply our method.</p><p><strong>Conclusions: </strong>We have developed a translatable method to identify the optimal MGMT gray zone from pyrosequencing data in line with recent EANO guidelines, to enhance clinical decision-making.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":"7 1","pages":"vdaf061"},"PeriodicalIF":3.7000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12121717/pdf/","citationCount":"0","resultStr":"{\"title\":\"Defining the recommended gray zone in O6-methylguanine-DNA methyltransferase promoter methylation pyrosequencing reporting: A robust, translatable method to implement new EANO guidelines.\",\"authors\":\"Polly Taylor, Gabrielle Cruickshank, Jack Wildman, George Doyle, Ed Whittaker, Sara Walker, Claire McKeeve, Claire Faulkner, Laura Yarram-Smith, Paul White, Kathreena M Kurian\",\"doi\":\"10.1093/noajnl/vdaf061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) may cause resistance of tumor cells to alkylating agents and is a predictive biomarker in high-grade gliomas treated with temozolomide. Recent European Association of Neuro-Oncology (EANO) guidelines recommend internal validation of MGMT methylation cutoffs and reporting of gray zone values. This study aimed to develop a method to derive a gray zone from pyrosequencing MGMT methylation data.</p><p><strong>Methods: </strong>We developed a method to find the optimal gray zone using pyrosequencing MGMT methylation values (CpG sites 72-83) from 308 glioblastoma cases with overall survival data. Each integer below the methylated threshold defined a new possible gray zone and categorization which was used as a variable in a multivariate Cox proportional hazards regression model. The optimal gray zone was selected as the option that had a statistically different survival function from the methylated and unmethylated groups, with the largest log-likelihood ratio test statistic. We applied the method to a validation cohort of 115 glioblastoma cases.</p><p><strong>Results: </strong>Our method successfully identified a gray zone in our development cohort. The following categorization gave 3 distinct survival functions: methylated ≥12% (<i>n</i> = 152 cases), gray zone 5%-12% (<i>n</i> = 43), and unmethylated <5% (<i>n</i> = 113). This categorization was better at predicting survival than the existing categorization (methylated ≥12%, unmethylated <12%). Validating our method showed a sufficient sample size and time to follow up is recommended to apply our method.</p><p><strong>Conclusions: </strong>We have developed a translatable method to identify the optimal MGMT gray zone from pyrosequencing data in line with recent EANO guidelines, to enhance clinical decision-making.</p>\",\"PeriodicalId\":94157,\"journal\":{\"name\":\"Neuro-oncology advances\",\"volume\":\"7 1\",\"pages\":\"vdaf061\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12121717/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/noajnl/vdaf061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology advances","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/noajnl/vdaf061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:DNA修复蛋白o6 -甲基鸟嘌呤-DNA甲基转移酶(MGMT)可能导致肿瘤细胞对烷基化剂产生耐药性,是替莫唑胺治疗的高级别胶质瘤的预测性生物标志物。最近的欧洲神经肿瘤协会(EANO)指南建议对MGMT甲基化截止点进行内部验证,并报告灰色地带值。本研究旨在开发一种从焦磷酸测序MGMT甲基化数据中得出灰色地带的方法。方法:我们开发了一种方法,利用308例胶质母细胞瘤患者总体生存数据的焦磷酸测序MGMT甲基化值(CpG位点72-83)来寻找最佳灰色区域。每个低于甲基化阈值的整数定义了一个新的可能的灰色区域和分类,并将其作为多变量Cox比例风险回归模型的变量。选择最优灰色区域作为与甲基化组和未甲基化组具有统计学差异的生存功能的选项,具有最大的对数似然比检验统计量。我们将该方法应用于115例胶质母细胞瘤病例的验证队列。结果:我们的方法成功地确定了我们的发展队列中的灰色地带。以下分类给出了3种不同的生存功能:甲基化≥12% (n = 152例),灰色区5%-12% (n = 43例)和未甲基化(n = 113例)。与现有的分类(甲基化≥12%,未甲基化)相比,该分类在预测生存方面更好。结论:我们开发了一种可翻译的方法,根据最新的EANO指南从焦氧测序数据中确定最佳MGMT灰色区域,以增强临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Defining the recommended gray zone in O6-methylguanine-DNA methyltransferase promoter methylation pyrosequencing reporting: A robust, translatable method to implement new EANO guidelines.

Background: The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) may cause resistance of tumor cells to alkylating agents and is a predictive biomarker in high-grade gliomas treated with temozolomide. Recent European Association of Neuro-Oncology (EANO) guidelines recommend internal validation of MGMT methylation cutoffs and reporting of gray zone values. This study aimed to develop a method to derive a gray zone from pyrosequencing MGMT methylation data.

Methods: We developed a method to find the optimal gray zone using pyrosequencing MGMT methylation values (CpG sites 72-83) from 308 glioblastoma cases with overall survival data. Each integer below the methylated threshold defined a new possible gray zone and categorization which was used as a variable in a multivariate Cox proportional hazards regression model. The optimal gray zone was selected as the option that had a statistically different survival function from the methylated and unmethylated groups, with the largest log-likelihood ratio test statistic. We applied the method to a validation cohort of 115 glioblastoma cases.

Results: Our method successfully identified a gray zone in our development cohort. The following categorization gave 3 distinct survival functions: methylated ≥12% (n = 152 cases), gray zone 5%-12% (n = 43), and unmethylated <5% (n = 113). This categorization was better at predicting survival than the existing categorization (methylated ≥12%, unmethylated <12%). Validating our method showed a sufficient sample size and time to follow up is recommended to apply our method.

Conclusions: We have developed a translatable method to identify the optimal MGMT gray zone from pyrosequencing data in line with recent EANO guidelines, to enhance clinical decision-making.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信