Aldape Kenneth, Capper David, von Deimling Andreas, Giannini Caterina, Gilbert Mark R, Hawkins Cynthia, Hench Jürgen, Jacques Thomas S, Jones David, Louis David N, Mueller Sabine, Orr Brent A, Nasrallah MacLean, Pfister Stefan M, Sahm Felix, Snuderl Matija, Solomon David, Varlet Pascale, Wesseling Pieter
Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MarylandUSA.
German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Neurooncol Adv. 2025 Jan 3;7(1):vdae228. doi: 10.1093/noajnl/vdae228. eCollection 2025 Jan-Dec.
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.
全基因组DNA甲基化特征与中枢神经系统(CNS)肿瘤类型相关并可对其进行区分。自2018年首次发布中枢神经系统肿瘤DNA甲基化分类器以来,该平台越来越多地被用作中枢神经系统肿瘤的诊断工具,多项研究表明基于DNA甲基化的中枢神经系统肿瘤分类具有价值和实用性。因此,一个旨在为中枢神经系统肿瘤分类学提供分子和实用方法信息的联盟(cIMPACT-NOW)工作组被召集起来,以描述该领域的现状,并根据迄今吸取的经验教训提供建议。在此,我们为基于DNA甲基化的分类在中枢神经系统肿瘤诊断中的应用提供建议,强调该方法的特点和局限性。我们强调甲基化分类器是一种诊断工具,应与先前建立的诊断工具以完全整合的方式一起使用。此外,我们提供了在世界卫生组织(WHO)和癌症报告国际合作组织认可的分层诊断报告格式中纳入DNA甲基化数据的示例。我们强调未来平台需要向后兼容,以使积累的数据能够与新版本的阵列兼容。最后,我们概述了甲基化类别与中枢神经系统WHO肿瘤类型之间的具体联系,以帮助解释分类器结果。希望本次更新将有助于神经肿瘤学界解释DNA甲基化分类器结果,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。