Pipeline of Mass-spectrometry Data Processing for Diagnostic Molecular Marker Panel Obtaining Using the Example of Search Markers of Breast Cancer Metastasis

A. Tokareva, V. Chagovets, A. Kononikhin, N. Starodubtseva, V. Frankevich, E. Nikolaev
{"title":"Pipeline of Mass-spectrometry Data Processing for Diagnostic Molecular Marker Panel Obtaining Using the Example of Search Markers of Breast Cancer Metastasis","authors":"A. Tokareva, V. Chagovets, A. Kononikhin, N. Starodubtseva, V. Frankevich, E. Nikolaev","doi":"10.18097/bmcrm00156","DOIUrl":null,"url":null,"abstract":"A pathology diagnostic using molecular marker is a perspective direction of clinical medicine. Mass-spectrometry (MS) is a one of methods, which are used for obtaining information about molecular profiles. Selection of species, essential for classification “case/control is an important task for data processing. Pipeline of data processing has been proposed using MS data, obtained during analysis of tumor breast tissue samples and health breast tissue samples, with the aim of metastasis marker selection. As a result, selection of lipid markers that belong to classes, related to metastasis and proliferation processes, makes it possible to create high sensitivity diagnostic model, based on logistic regression. The proposed method is applicable for data processing, obtained by MS analysis of other “omics”: metabolome, proteome, glycome.","PeriodicalId":286037,"journal":{"name":"Biomedical Chemistry: Research and Methods","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Chemistry: Research and Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18097/bmcrm00156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A pathology diagnostic using molecular marker is a perspective direction of clinical medicine. Mass-spectrometry (MS) is a one of methods, which are used for obtaining information about molecular profiles. Selection of species, essential for classification “case/control is an important task for data processing. Pipeline of data processing has been proposed using MS data, obtained during analysis of tumor breast tissue samples and health breast tissue samples, with the aim of metastasis marker selection. As a result, selection of lipid markers that belong to classes, related to metastasis and proliferation processes, makes it possible to create high sensitivity diagnostic model, based on logistic regression. The proposed method is applicable for data processing, obtained by MS analysis of other “omics”: metabolome, proteome, glycome.
以乳腺癌转移灶为例,质谱数据处理获取诊断性分子标记面板的流水线
利用分子标记进行病理诊断是临床医学研究的一个重要方向。质谱法(MS)是一种用于获取分子谱信息的方法。物种的选择是病例分类/控制的必要条件,是数据处理的重要任务。利用肿瘤乳腺组织样本和健康乳腺组织样本分析中获得的MS数据,提出了数据处理流水线,目的是选择转移标志物。因此,选择与转移和增殖过程相关的脂质标记物,使基于逻辑回归的高灵敏度诊断模型成为可能。所提出的方法适用于通过MS分析其他“组学”获得的数据处理:代谢组、蛋白质组、血糖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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