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Classifying the precancers: A metadata approach

机译:对癌症进行分类:元数据方法

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Background During carcinogenesis, precancers are the morphologically identifiable lesions that precede invasive cancers. In theory, the successful treatment of precancers would result in the eradication of most human cancers. Despite the importance of these lesions, there has been no effort to list and classify all of the precancers. The purpose of this study is to describe the first comprehensive taxonomy and classification of the precancers. As a novel approach to disease classification, terms and classes were annotated with metadata (data that describes the data) so that the classification could be used to link precancer terms to data elements in other biological databases. Methods Terms in the UMLS (Unified Medical Language System) related to precancers were extracted. Extracted terms were reviewed and additional terms added. Each precancer was assigned one of six general classes. The entire classification was assembled as an XML (eXtensible Mark-up Language) file. A Perl script converted the XML file into a browser-viewable HTML (HyperText Mark-up Language) file. Results The classification contained 4700 precancer terms, 568 distinct precancer concepts and six precancer classes: 1) Acquired microscopic precancers; 2) acquired large lesions with microscopic atypia; 3) Precursor lesions occurring with inherited hyperplastic syndromes that progress to cancer; 4) Acquired diffuse hyperplasias and diffuse metaplasias; 5) Currently unclassified entities; and 6) Superclass and modifiers. Conclusion This work represents the first attempt to create a comprehensive listing of the precancers, the first attempt to classify precancers by their biological properties and the first attempt to create a pathologic classification of precancers using standard metadata (XML). The classification is placed in the public domain, and comment is invited by the authors, who are prepared to curate and modify the classification.
机译:背景技术在癌变过程中,前癌是在浸润性癌症之前的形态可识别的病变。从理论上讲,成功地治疗癌症会根除大多数人类癌症。尽管这些病变很重要,但仍没有努力列出所有前癌并对其分类。本研究的目的是描述前癌的第一个综合分类学和分类。作为疾病分类的一种新方法,用元数据(描述数据的数据)对术语和类别进行注释,以便可以使用分类将癌症前期术语链接到其他生物学数据库中的数据元素。方法提取UMLS(统一医学语言系统)中与癌症相关的术语。审查提取的术语并添加其他术语。每个癌前体被分配为六个普通类别之一。整个分类被组装为XML(可扩展标记语言)文件。 Perl脚本将XML文件转换为浏览器可查看的HTML(超文本标记语言)文件。结果分类包括4700个癌前期术语,568个不同的癌前期概念和六个癌前期类别:1)获得的微观癌前期; 2)镜下异型获得性大病变; 3)先天性病变伴有遗传性增生综合症,并发展为癌症; 4)获得性弥漫性增生和弥漫性化生; 5)当前未分类的实体;和6)超类和修饰符。结论这项工作代表了对癌前病变进行全面列出的首次尝试,是对癌前病变的生物学特性进行分类的首次尝试,也是对使用标准元数据(XML)创建癌前病变分类的首次尝试。分类被放置在公共领域,作者准备发表评论并准备修改和修改分类。

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