Tumor classification: molecular analysis meets Aristotle.
Tumor classification: molecular analysis meets Aristotle.
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DOI：
10.1186/1471-2407-4-10
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发表时间：
2004-03-17
期刊：
影响因子：
3.8
通讯作者：
Berman JJ
中科院分区：
文献类型：
--
作者：
Berman JJ
传统上，肿瘤是根据其形态学表现进行分类的。不幸的是，具有相似组织学特征的肿瘤通常遵循不同的临床过程或对化疗的反应不同。基于形态学的肿瘤分类在临床应用中的局限性促使人们寻求基于分子分析的新肿瘤分类。来自肿瘤样本的基因表达阵列数据和蛋白质组数据将提供仅从形态学检查无法获得的复杂数据。癌症研究人员面临的问题越来越多，“我们如何才能成功地整合人类癌症的分子，形态和临床特征，以产生一个有用的肿瘤分类？“目前基于分子特征对癌症进行分类的努力忽视了从生物分类的数千年经验中吸取的教训。肿瘤分类必须包括每种类型的肿瘤，并且必须在分类中为每种肿瘤提供独特的位置。分类中的组继承其祖先的属性并将属性传给其后代。根据肿瘤的组织发生学发展，对肿瘤进行了分类。分类是简单的（减少从肿瘤的分子分析接收的信息的复杂性），全面的（提供一个地方的每一个人的肿瘤），并与最近的尝试，以表征肿瘤的细胞遗传学和分子特征相一致。这种历史的肿瘤分类方法的临床和研究价值进行了讨论。这篇文章回顾了肿瘤的分类，并提供了一个新的和全面的肿瘤分类，保留了传统的命名法，同时纳入了来自肿瘤分子分析的信息。该分类作为开放访问XML文档提供，癌症研究人员可以使用该文档将肿瘤类别与异质性实验和临床肿瘤数据库相关联。
Traditionally, tumors have been classified by their morphologic appearances. Unfortunately, tumors with similar histologic features often follow different clinical courses or respond differently to chemotherapy. Limitations in the clinical utility of morphology-based tumor classifications have prompted a search for a new tumor classification based on molecular analysis. Gene expression array data and proteomic data from tumor samples will provide complex data that is unobtainable from morphologic examination alone. The growing question facing cancer researchers is, "How can we successfully integrate the molecular, morphologic and clinical characteristics of human cancer to produce a helpful tumor classification?" Current efforts to classify cancers based on molecular features ignore lessons learned from millennia of experience in biological classification. A tumor classification must include every type of tumor and must provide a unique place for each tumor within the classification. Groups within a classification inherit the properties of their ancestors and impart properties to their descendants. A classification was prepared grouping tumors according to their histogenetic development. The classification is simple (reducing the complexity of information received from the molecular analysis of tumors), comprehensive (providing a place for every tumor of man), and consistent with recent attempts to characterize tumors by cytogenetic and molecular features. The clinical and research value of this historical approach to tumor classification is discussed. This manuscript reviews tumor classification and provides a new and comprehensive classification for neoplasia that preserves traditional nomenclature while incorporating information derived from the molecular analysis of tumors. The classification is provided as an open access XML document that can be used by cancer researchers to relate tumor classes with heterogeneous experimental and clinical tumor databases.
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影响因子：
56.9
作者：
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