Penland Shannon K, Keku Temitope O, Torrice Chad, He Xiaping, Krishnamurthy Janakiraman, Hoadley Katherine A, Woosley John T, Thomas Nancy E, Perou Charles M, Sandler Robert S, Sharpless Norman E
Department of Medicine, The University of North Carolina School of Medicine, Chapel Hill, NC 27599-7295, USA
Lab Invest. 2007 Apr;87(4):383-91. doi: 10.1038/labinvest.3700529. Epub 2007 Feb 12.
RNA expression analysis is an important tool in cancer research, but a limitation has been the requirement for high-quality RNA, generally derived from frozen samples. Such tumor sets are often small and lack clinical annotation, whereas formalin-fixed paraffin-embedded (FFPE) materials are abundant. Although RT-PCR-based methods from FFPE samples are finding clinical application, genome-wide microarray analysis has proven difficult. Here, we report expression profiling on RNA from 157 FFPE tumors. RNA was extracted from 2- to 8-year-old FFPE or frozen tumors of known and unknown histologies. Total RNA was analyzed, reverse-transcribed and used for the synthesis of labeled aRNA after two rounds of amplification. Labeled aRNA was hybridized to a 3'-based 22K spot oligonucleotide arrays, and compared to a labeled reference by two-color microarray analysis. After normalization, gene expression profiles were compared by unsupervised hierarchical clustering. Using this approach, at least 24% of unselected FFPE samples produced RNA of sufficient quality for microarray analysis. From our initial studies, we determined criteria based on spectrophotometric analyses and a novel TaqMan-based assay to predict which samples were of sufficient quality for microarray analysis before hybridization. These criteria were validated on an independent set of tumors with a 100% success rate (20 of 20). Unsupervised analysis of informative gene expression profiles distinguished tumor type and subtype, and identified tumor tissue of origin in three unclassified carcinomas. Although only a minority of FFPE blocks could be analyzed, we show that informative RNA expression analysis can be derived from selected FFPE samples.
RNA表达分析是癌症研究中的一项重要工具,但一个限制因素是需要高质量的RNA,通常这种RNA来自冷冻样本。此类肿瘤样本集往往较小且缺乏临床注释,而福尔马林固定石蜡包埋(FFPE)材料则很丰富。尽管基于FFPE样本的逆转录聚合酶链反应(RT-PCR)方法正在得到临床应用,但全基因组微阵列分析已被证明存在困难。在此,我们报告了对157个FFPE肿瘤的RNA进行表达谱分析的结果。从已知和未知组织学类型的2至8年的FFPE或冷冻肿瘤中提取RNA。对总RNA进行分析、逆转录,并在两轮扩增后用于合成标记的aRNA。将标记的aRNA与基于3'端的22K点寡核苷酸阵列杂交,并通过双色微阵列分析与标记的参考样本进行比较。归一化后,通过无监督层次聚类比较基因表达谱。使用这种方法,至少24%未经筛选的FFPE样本产生了质量足以进行微阵列分析的RNA。从我们的初步研究中,我们基于分光光度分析和一种基于新型TaqMan的检测方法确定了标准,以在杂交前预测哪些样本具有足以进行微阵列分析的质量。这些标准在一组独立的肿瘤样本上得到了验证,成功率为100%(20个样本全部成功)。对信息丰富的基因表达谱进行无监督分析可区分肿瘤类型和亚型,并在三种未分类的癌症中确定肿瘤组织的起源。尽管只能分析少数FFPE样本块,但我们表明可以从选定的FFPE样本中获得信息丰富的RNA表达分析结果。