天津医药

天津医药 ›› 2018, Vol. 46 ›› Issue (9): 1019-1022.doi: 10.11958/20180365

• 综述 • 上一篇    下一篇

代谢组学技术在乳腺癌标志物筛选中的应用进展

吴静，杨睿，刘树业   

  1. 1天津市第三中心医院检验科，天津市肝胆疾病研究所，天津市人工细胞重点实验室，卫生部人工细胞工程技术研究中心（邮编300170）；2天津医科大学基础医学研究中心转化肿瘤学实验室
  • 收稿日期:2018-03-12 修回日期:2018-05-23 出版日期:2018-09-15 发布日期:2018-10-10
  • 通讯作者: 吴静 E-mail:wujing_821013@sina.com

Application of metabonomics in screening markers for breast cancer

WU Jing, YANG Rui, LIU Shu-ye   

  1. 1 Department of Clinical Laboratory, Tianjin Third Central Hospital, Tianjin Institute of Hepatobiliary Disease,Tianjin Key Laboratory of Artificial Cell, Artificial Cell Engineering Technology Research Center of Public Health Ministry, Tianjin 300170, China; 2 Laboratory of Translational Cancer Biology,Research Center of Basic Medical Science, Tianjin Medical University
  • Received:2018-03-12 Revised:2018-05-23 Published:2018-09-15 Online:2018-10-10
  • Contact: Jing WU E-mail:wujing_821013@sina.com

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摘要： 代谢组学是“后基因组学”时期的一门新兴学科，其同基因组学、转录组学、蛋白质组学共同构成了系统生物学的核心内容。代谢组学对生物体系在生理或病理状态下所有内源性小分子代谢产物的动态变化进行分析，从而探索内源性小分子物质与疾病发生发展间的关系。目前，代谢组学被广泛应用于肿瘤标志物筛选、疾病诊断、新药研究与开发等多个领域。近年来，国内外学者通过代谢组学技术分析了乳腺癌患者的代谢物轮廓特征，筛选出有价值的潜在标志物，为乳腺癌的预防、早期诊断和个体化治疗开辟了新途径。本文针对这些乳腺癌潜在代谢标志物进行综述。

关键词: 乳腺肿瘤, 生物学标记, 质谱分析法, 代谢组学, 筛选

Abstract: Metabolomics is a new discipline in the "post-genomics" period, which constitutes the core of system biology together with genomics, transcriptomics and proteomics. Metabolomics analyzes the dynamic changes of all endogenous small metabolites in physiological or pathological state of biological systems in order to explore the relationship between endogenous small molecules and disease development. At present, metabolomics is widely used in many fields, including screening of tumor markers, disease diagnosis, new drug research and development. In recent years, domestic and foreign scholars have analyzed the characteristics of the metabolite profile of breast cancer by metabolomics techniques, and screened out valuable potential markers, which opened up a new way for the prevention, early diagnosis and individualized treatment of breast cancer. These potential metabolic markers of breast cancer are reviewed in this article.

Key words: breast neoplasms, biological markers, mass spectrometry, metabolomics, screening