Dna甲基化分析在神经肿瘤学中作为诊断支持工具的现状:综述

IF 2.702 Q1 Materials Science Journal of Polymer Science Part A: Polymer Chemistry Pub Date : 2023-07-22 eCollection Date: 2023-12-01 DOI:10.1093/nop/npad040
Jyotsna Singh, Saumya Sahu, Trishala Mohan, Swati Mahajan, Mehar C Sharma, Chitra Sarkar, Vaishali Suri
{"title":"Dna甲基化分析在神经肿瘤学中作为诊断支持工具的现状:综述","authors":"Jyotsna Singh, Saumya Sahu, Trishala Mohan, Swati Mahajan, Mehar C Sharma, Chitra Sarkar, Vaishali Suri","doi":"10.1093/nop/npad040","DOIUrl":null,"url":null,"abstract":"<p><p>Over the last 2 decades, high throughput genome-wide molecular profiling has revealed characteristic genetic and epigenetic alterations associated with different types of central nervous system (CNS) tumors. DNA methylation profiling has emerged as an important molecular platform for CNS tumor classification with improved diagnostic accuracy and patient risk stratification in comparison to the standard of care histopathological analysis and any single molecular tests. The emergence of DNA methylation arrays have also played a crucial role in refining existing types and the discovery of new tumor types or subtypes. The adoption of methylation data into neuro-oncology has been greatly aided by the development of a freely accessible machine learning-based classifier. In this review, we discuss methylation workflow, address the utility of DNA methylation profiling in CNS tumors in a routine diagnostic setting, and provide an overview of the methylation-based tumor types and new types or subtypes identified with this platform.</p>","PeriodicalId":199,"journal":{"name":"Journal of Polymer Science Part A: Polymer Chemistry","volume":"25 108","pages":"518-526"},"PeriodicalIF":2.7020,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666812/pdf/","citationCount":"0","resultStr":"{\"title\":\"Current status of DNA methylation profiling in neuro-oncology as a diagnostic support tool: A review.\",\"authors\":\"Jyotsna Singh, Saumya Sahu, Trishala Mohan, Swati Mahajan, Mehar C Sharma, Chitra Sarkar, Vaishali Suri\",\"doi\":\"10.1093/nop/npad040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Over the last 2 decades, high throughput genome-wide molecular profiling has revealed characteristic genetic and epigenetic alterations associated with different types of central nervous system (CNS) tumors. DNA methylation profiling has emerged as an important molecular platform for CNS tumor classification with improved diagnostic accuracy and patient risk stratification in comparison to the standard of care histopathological analysis and any single molecular tests. The emergence of DNA methylation arrays have also played a crucial role in refining existing types and the discovery of new tumor types or subtypes. The adoption of methylation data into neuro-oncology has been greatly aided by the development of a freely accessible machine learning-based classifier. In this review, we discuss methylation workflow, address the utility of DNA methylation profiling in CNS tumors in a routine diagnostic setting, and provide an overview of the methylation-based tumor types and new types or subtypes identified with this platform.</p>\",\"PeriodicalId\":199,\"journal\":{\"name\":\"Journal of Polymer Science Part A: Polymer Chemistry\",\"volume\":\"25 108\",\"pages\":\"518-526\"},\"PeriodicalIF\":2.7020,\"publicationDate\":\"2023-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666812/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Polymer Science Part A: Polymer Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/nop/npad040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/12/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"Materials Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Polymer Science Part A: Polymer Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/nop/npad040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0

摘要

在过去的二十年中,高通量全基因组分子谱揭示了与不同类型中枢神经系统(CNS)肿瘤相关的特征性遗传和表观遗传改变。DNA甲基化谱已成为中枢神经系统肿瘤分类的重要分子平台,与护理标准组织病理学分析和任何单一分子测试相比,它具有更高的诊断准确性和患者风险分层。DNA甲基化阵列的出现也在改进现有类型和发现新的肿瘤类型或亚型方面发挥了至关重要的作用。甲基化数据在神经肿瘤学中的应用很大程度上得益于基于机器学习的分类器的开发。在这篇综述中,我们讨论了甲基化工作流程,解决了DNA甲基化谱在中枢神经系统肿瘤常规诊断中的应用,并概述了甲基化肿瘤类型和通过该平台鉴定的新类型或亚型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Current status of DNA methylation profiling in neuro-oncology as a diagnostic support tool: A review.

Over the last 2 decades, high throughput genome-wide molecular profiling has revealed characteristic genetic and epigenetic alterations associated with different types of central nervous system (CNS) tumors. DNA methylation profiling has emerged as an important molecular platform for CNS tumor classification with improved diagnostic accuracy and patient risk stratification in comparison to the standard of care histopathological analysis and any single molecular tests. The emergence of DNA methylation arrays have also played a crucial role in refining existing types and the discovery of new tumor types or subtypes. The adoption of methylation data into neuro-oncology has been greatly aided by the development of a freely accessible machine learning-based classifier. In this review, we discuss methylation workflow, address the utility of DNA methylation profiling in CNS tumors in a routine diagnostic setting, and provide an overview of the methylation-based tumor types and new types or subtypes identified with this platform.

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
5.20
自引率
0.00%
发文量
0
审稿时长
1.8 months
期刊介绍: Part A: Polymer Chemistry is devoted to studies in fundamental organic polymer chemistry and physical organic chemistry. This includes all related topics (such as organic, bioorganic, bioinorganic and biological chemistry of monomers, polymers, oligomers and model compounds, inorganic and organometallic chemistry for catalysts, mechanistic studies, supramolecular chemistry aspects relevant to polymer...
期刊最新文献
Issue Information - Cover Description Cover Image, Volume 61, Issue 20 Issue Information - Cover Description Cover Image, Volume 61, Issue 19 Emerging researchers interview—Ji Liu, Southern University of Science and Technology
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1