非小细胞肺癌的基因表达谱分析
Gene expression profiling of non-small cell lung cancer.
作者信息
Singhal Sunil, Miller Daniel, Ramalingam Suresh, Sun Shi-Yong
机构信息
General Thoracic Surgery, Emory University School of Medicine, 1365 Clifton Road, NE, Building A, Suite 2100, CT Section, Room A-2212, Atlanta, GA 30322, United States.
出版信息
Lung Cancer. 2008 Jun;60(3):313-24. doi: 10.1016/j.lungcan.2008.03.007. Epub 2008 Apr 25.
Abstract
Functional genomics has emerged over the past 10 years as a novel technology to study genetic alterations. Gene expression arrays are one genomic technique employed to discover changes in the DNA expression that occur in neoplastic transformation. Microarrays have been applied to investigating lung cancer. Specific applications include discovering novel genetic changes that occur in lung tumors. Microarrays can also be applied to improve diagnosis, staging and discover prognostic markers. The eventual goal of this technology is to discover new markers for therapy and to customize therapy based on an individual tumor genetic composition. In this review, we present the current state of gene expression array technology in its application to lung cancer.
摘要
在过去十年中，功能基因组学作为一种研究基因改变的新技术应运而生。基因表达阵列是一种用于发现肿瘤转化过程中DNA表达变化的基因组技术。微阵列已被应用于肺癌研究。具体应用包括发现肺肿瘤中发生的新的基因变化。微阵列还可用于改善诊断、分期和发现预后标志物。这项技术的最终目标是发现新的治疗标志物，并根据个体肿瘤的基因组成定制治疗方案。在本综述中，我们介绍了基因表达阵列技术在肺癌应用中的现状。
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