cIMPACT-NOW更新9:关于全基因组DNA甲基化谱用于中枢神经系统肿瘤诊断的建议。

IF 3.7 Q1 CLINICAL NEUROLOGY
Neuro-oncology advances Pub Date : 2025-01-03 eCollection Date: 2025-01-01 DOI:10.1093/noajnl/vdae228
Kenneth Aldape, David Capper, Andreas von Deimling, Caterina Giannini, Mark R Gilbert, Cynthia Hawkins, Jürgen Hench, Thomas S Jacques, David Jones, David N Louis, Sabine Mueller, Brent A Orr, MacLean Nasrallah, Stefan M Pfister, Felix Sahm, Matija Snuderl, David Solomon, Pascale Varlet, Pieter Wesseling
{"title":"cIMPACT-NOW更新9:关于全基因组DNA甲基化谱用于中枢神经系统肿瘤诊断的建议。","authors":"Kenneth Aldape, David Capper, Andreas von Deimling, Caterina Giannini, Mark R Gilbert, Cynthia Hawkins, Jürgen Hench, Thomas S Jacques, David Jones, David N Louis, Sabine Mueller, Brent A Orr, MacLean Nasrallah, Stefan M Pfister, Felix Sahm, Matija Snuderl, David Solomon, Pascale Varlet, Pieter Wesseling","doi":"10.1093/noajnl/vdae228","DOIUrl":null,"url":null,"abstract":"<p><p>Genome-wide DNA methylation signatures correlate with and distinguish central nervous system (CNS) tumor types. Since the publication of the initial CNS tumor DNA methylation classifier in 2018, this platform has been increasingly used as a diagnostic tool for CNS tumors, with multiple studies showing the value and utility of DNA methylation-based classification of CNS tumors. A Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) Working Group was therefore convened to describe the current state of the field and to provide advice based on lessons learned to date. Here, we provide recommendations for the use of DNA methylation-based classification in CNS tumor diagnostics, emphasizing the attributes and limitations of the modality. We emphasize that the methylation classifier is one diagnostic tool to be used alongside previously established diagnostic tools in a fully integrated fashion. In addition, we provide examples of the inclusion of DNA methylation data within the layered diagnostic reporting format endorsed by the World Health Organization (WHO) and the International Collaboration on Cancer Reporting. We emphasize the need for backward compatibility of future platforms to enable accumulated data to be compatible with new versions of the array. Finally, we outline the specific connections between methylation classes and CNS WHO tumor types to aid in the interpretation of classifier results. It is hoped that this update will assist the neuro-oncology community in the interpretation of DNA methylation classifier results to facilitate the accurate diagnosis of CNS tumors and thereby help guide patient management.</p>","PeriodicalId":94157,"journal":{"name":"Neuro-oncology advances","volume":"7 1","pages":"vdae228"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788596/pdf/","citationCount":"0","resultStr":"{\"title\":\"cIMPACT-NOW update 9: Recommendations on utilization of genome-wide DNA methylation profiling for central nervous system tumor diagnostics.\",\"authors\":\"Kenneth Aldape, David Capper, Andreas von Deimling, Caterina Giannini, Mark R Gilbert, Cynthia Hawkins, Jürgen Hench, Thomas S Jacques, David Jones, David N Louis, Sabine Mueller, Brent A Orr, MacLean Nasrallah, Stefan M Pfister, Felix Sahm, Matija Snuderl, David Solomon, Pascale Varlet, Pieter Wesseling\",\"doi\":\"10.1093/noajnl/vdae228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Genome-wide DNA methylation signatures correlate with and distinguish central nervous system (CNS) tumor types. Since the publication of the initial CNS tumor DNA methylation classifier in 2018, this platform has been increasingly used as a diagnostic tool for CNS tumors, with multiple studies showing the value and utility of DNA methylation-based classification of CNS tumors. A Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) Working Group was therefore convened to describe the current state of the field and to provide advice based on lessons learned to date. Here, we provide recommendations for the use of DNA methylation-based classification in CNS tumor diagnostics, emphasizing the attributes and limitations of the modality. We emphasize that the methylation classifier is one diagnostic tool to be used alongside previously established diagnostic tools in a fully integrated fashion. In addition, we provide examples of the inclusion of DNA methylation data within the layered diagnostic reporting format endorsed by the World Health Organization (WHO) and the International Collaboration on Cancer Reporting. We emphasize the need for backward compatibility of future platforms to enable accumulated data to be compatible with new versions of the array. Finally, we outline the specific connections between methylation classes and CNS WHO tumor types to aid in the interpretation of classifier results. It is hoped that this update will assist the neuro-oncology community in the interpretation of DNA methylation classifier results to facilitate the accurate diagnosis of CNS tumors and thereby help guide patient management.</p>\",\"PeriodicalId\":94157,\"journal\":{\"name\":\"Neuro-oncology advances\",\"volume\":\"7 1\",\"pages\":\"vdae228\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788596/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/noajnl/vdae228\",\"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/vdae228","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

全基因组DNA甲基化特征与中枢神经系统(CNS)肿瘤类型相关并区分。自2018年首次发布CNS肿瘤DNA甲基化分类器以来,该平台已越来越多地用作CNS肿瘤的诊断工具,多项研究显示了基于DNA甲基化的CNS肿瘤分类的价值和实用性。因此,cIMPACT-NOW工作组成立了一个为中枢神经系统肿瘤分类的分子和实用方法提供信息的联盟,以描述该领域的现状,并根据迄今为止吸取的经验教训提供建议。在这里,我们提供了在中枢神经系统肿瘤诊断中使用DNA甲基化分类的建议,强调了这种模式的属性和局限性。我们强调甲基化分类器是一种诊断工具,可以与以前建立的诊断工具一起以完全集成的方式使用。此外,我们还提供了将DNA甲基化数据纳入世界卫生组织(世卫组织)和国际癌症报告合作组织认可的分层诊断报告格式的例子。我们强调需要未来平台的向后兼容性,以使积累的数据能够与新版本的数组兼容。最后,我们概述了甲基化类别和CNS WHO肿瘤类型之间的具体联系,以帮助解释分类器结果。希望这一更新将有助于神经肿瘤学社区对DNA甲基化分类器结果的解释,以促进中枢神经系统肿瘤的准确诊断,从而帮助指导患者管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
cIMPACT-NOW update 9: Recommendations on utilization of genome-wide DNA methylation profiling for central nervous system tumor diagnostics.

Genome-wide DNA methylation signatures correlate with and distinguish central nervous system (CNS) tumor types. Since the publication of the initial CNS tumor DNA methylation classifier in 2018, this platform has been increasingly used as a diagnostic tool for CNS tumors, with multiple studies showing the value and utility of DNA methylation-based classification of CNS tumors. A Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) Working Group was therefore convened to describe the current state of the field and to provide advice based on lessons learned to date. Here, we provide recommendations for the use of DNA methylation-based classification in CNS tumor diagnostics, emphasizing the attributes and limitations of the modality. We emphasize that the methylation classifier is one diagnostic tool to be used alongside previously established diagnostic tools in a fully integrated fashion. In addition, we provide examples of the inclusion of DNA methylation data within the layered diagnostic reporting format endorsed by the World Health Organization (WHO) and the International Collaboration on Cancer Reporting. We emphasize the need for backward compatibility of future platforms to enable accumulated data to be compatible with new versions of the array. Finally, we outline the specific connections between methylation classes and CNS WHO tumor types to aid in the interpretation of classifier results. It is hoped that this update will assist the neuro-oncology community in the interpretation of DNA methylation classifier results to facilitate the accurate diagnosis of CNS tumors and thereby help guide patient management.

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