Shames David S, Minna John D, Gazdar Adi F
The Hamon Center of Therapeutic Oncology Research and the Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center at Dallas, 5323 Harry Hines Boulevard, Dallas, TX, USA.
Cancer Lett. 2007 Jun 28;251(2):187-98. doi: 10.1016/j.canlet.2006.10.014. Epub 2006 Dec 12.
Tumor-acquired changes in DNA methylation are the focus of research in an increasing number of basic, translational, and clinical laboratories around the world. In the laboratory, genome-wide technologies such as expression and DNA microarrays have been adapted to analyze patterns of DNA methylation and to screen for novel disease markers. Other technologies that are relatively inexpensive and highly sensitive such as methylation-specific PCR (MSP), or quantitative, such as quantitative MSP and pyrosequencing are widely used in retrospective studies and have potential in a diagnostic setting. In the near future, it may be possible to screen patients for common cancers using DNA methylation signatures as well as to measure patient responses to treatment, to identify patients at increased risk, or to monitor interventions designed to reduce cancer incidence. In this article, we review genome-wide and quantitative, high- resolution methods for methylation analysis that are used in the laboratory and clinic, and discuss their potential for use in a clinical setting.
肿瘤获得性DNA甲基化变化是全球越来越多基础、转化和临床实验室的研究重点。在实验室中,诸如表达和DNA微阵列等全基因组技术已被用于分析DNA甲基化模式并筛选新型疾病标志物。其他相对廉价且高度灵敏的技术,如甲基化特异性PCR(MSP),或定量技术,如定量MSP和焦磷酸测序,在回顾性研究中被广泛使用,并且在诊断环境中有潜在应用价值。在不久的将来,使用DNA甲基化特征筛查常见癌症患者、测量患者对治疗的反应、识别风险增加的患者或监测旨在降低癌症发病率的干预措施或许成为可能。在本文中,我们综述了实验室和临床中用于甲基化分析的全基因组和定量、高分辨率方法,并讨论了它们在临床环境中的应用潜力。