Chen Rou, Guan Qingzhou, Cheng Jun, He Jun, Liu Huaping, Cai Hao, Hong Guini, Zhang Jiahui, Li Na, Ao Lu, Guo Zheng
Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Department of Bioinformatics, Fujian Medical University, Fuzhou 350001, China.
Oncotarget. 2017 Jan 24;8(4):6652-6662. doi: 10.18632/oncotarget.14257.
Formalin-fixed paraffin-embedded (FFPE) samples represent a valuable resource for clinical researches. However, FFPE samples are usually considered an unreliable source for gene expression analysis due to the partial RNA degradation. In this study, through comparing gene expression profiles between FFPE samples and paired fresh-frozen (FF) samples for three cancer types, we firstly showed that expression measurements of thousands of genes had at least two-fold change in FFPE samples compared with paired FF samples. Therefore, for a transcriptional signature based on risk scores summarized from the expression levels of the signature genes, the risk score thresholds trained from FFPE (or FF) samples could not be applied to FF (or FFPE) samples. On the other hand, we found that more than 90% of the relative expression orderings (REOs) of gene pairs in the FF samples were maintained in their paired FFPE samples and largely unaffected by the storage time. The result suggested that the REOs of gene pairs were highly robust against partial RNA degradation in FFPE samples. Finally, as a case study, we developed a REOs-based signature to distinguish liver cirrhosis from hepatocellular carcinoma (HCC) using FFPE samples. The signature was validated in four datasets of FFPE samples and eight datasets of FF samples. In conclusion, the valuable FFPE samples can be fully exploited to identify REOs-based diagnostic and prognostic signatures which could be robustly applicable to both FF samples and FFPE samples with degraded RNA.
福尔马林固定石蜡包埋(FFPE)样本是临床研究的宝贵资源。然而,由于RNA部分降解,FFPE样本通常被认为是基因表达分析的不可靠来源。在本研究中,通过比较三种癌症类型的FFPE样本与配对新鲜冷冻(FF)样本之间的基因表达谱,我们首次表明,与配对的FF样本相比,FFPE样本中数千个基因的表达测量值至少有两倍的变化。因此,对于基于特征基因表达水平汇总的风险评分的转录特征,从FFPE(或FF)样本训练得到的风险评分阈值不能应用于FF(或FFPE)样本。另一方面,我们发现FF样本中超过90%的基因对相对表达顺序(REO)在其配对的FFPE样本中得以保持,且很大程度上不受储存时间的影响。该结果表明基因对的REO对FFPE样本中的RNA部分降解具有高度抗性。最后,作为一个案例研究,我们开发了一种基于REO的特征,使用FFPE样本区分肝硬化和肝细胞癌(HCC)。该特征在四个FFPE样本数据集和八个FF样本数据集中得到验证。总之,宝贵的FFPE样本可以被充分利用来识别基于REO的诊断和预后特征,这些特征可以稳健地应用于RNA降解的FF样本和FFPE样本。