Chang Jeremy T-H, Lee Yee Ming, Huang R Stephanie
Biological Sciences Collegiate Division, The University of Chicago, Chicago, Ill.
Center for Personalized Therapeutics, The University of Chicago, Chicago, Ill.
Transl Res. 2015 Dec;166(6):568-85. doi: 10.1016/j.trsl.2015.08.001. Epub 2015 Aug 10.
The Cancer Genome Atlas (TCGA) has profiled more than 10,000 samples derived from 33 types of cancer to date, with the goal of improving our understanding of the molecular basis of cancer and advancing our ability to diagnose, treat, and prevent cancer. This review focuses on lung cancer as it is the leading cause of cancer-related mortality worldwide in both men and women. Particularly, non-small cell lung cancers (including lung adenocarcinoma and lung squamous cell carcinoma) were evaluated. Our goal was to demonstrate the impact of TCGA on lung cancer research under 4 themes: diagnostic markers, disease progression markers, novel therapeutic targets, and novel tools. Examples are given related to DNA mutation, copy number variation, messenger RNA, and microRNA expression along with methylation profiling.
癌症基因组图谱(TCGA)迄今已对源自33种癌症的10000多个样本进行了分析,目的是增进我们对癌症分子基础的理解,并提高我们诊断、治疗和预防癌症的能力。本综述聚焦于肺癌,因为它是全球男性和女性癌症相关死亡的主要原因。特别对非小细胞肺癌(包括肺腺癌和肺鳞状细胞癌)进行了评估。我们的目标是在四个主题下展示TCGA对肺癌研究的影响:诊断标志物、疾病进展标志物、新型治疗靶点和新型工具。文中给出了与DNA突变、拷贝数变异、信使核糖核酸和微小核糖核酸表达以及甲基化分析相关的实例。