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福尔马林固定石蜡包埋肿瘤的RNA表达分析

RNA expression analysis of formalin-fixed paraffin-embedded tumors.

作者信息

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

机构信息

Department of Medicine, The University of North Carolina School of Medicine, Chapel Hill, NC 27599-7295, USA

出版信息

Lab Invest. 2007 Apr;87(4):383-91. doi: 10.1038/labinvest.3700529. Epub 2007 Feb 12.

Abstract

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.

摘要

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。

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