Yang Jingcheng, Lin Jinyuan, Liu Tianxiao, Chen Ting, Pan Shangling, Huang Weiqiang, Li Shikang
Department of Thoracic and Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Management Information System, College of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, China.
Lung Cancer. 2014 Aug;85(2):110-5. doi: 10.1016/j.lungcan.2014.05.011. Epub 2014 May 22.
Lung cancer is one of the most common human cancers worldwide. Among all lung cancer cases, non-small cell lung cancer (NSCLC) accounts for approximately 85%. Long non-coding RNAs (lncRNAs) are non-protein-coding transcripts that have been shown to play important roles in tumourigenesis and tumor progression. To reveal novel tumor-related lncRNAs in NSCLC and their associations with clinical subtypes, we herein identified 2935 probe sets mapped to lncRNAs on Affymetrix HG-U133 Plus 2.0 array with an lncRNA classification pipeline. We found 47 lncRNAs differentially expressed between normal lung tissues and tumor samples and 19 lncRNAs differed in expression between SCC and AC, two subtypes of NSCLC, after analyses of the gene expression profiles of five datasets downloaded from the gene expression omnibus (GEO) with a leave one dataset out validation process. The different lncRNA expression profiles between NSCLC and normal tissue and between the subtypes of NSCLC may have potential implications in the pathogenesis of this cancer. lncRNAs screening may be beneficial in the diagnosis, subclassification, and the personalized treatment of NSCLC.
肺癌是全球最常见的人类癌症之一。在所有肺癌病例中，非小细胞肺癌（NSCLC）约占85%。长链非编码RNA（lncRNAs）是一类非蛋白质编码转录本，已被证明在肿瘤发生和肿瘤进展中发挥重要作用。为了揭示NSCLC中与肿瘤相关的新型lncRNAs及其与临床亚型的关联，我们在此使用lncRNA分类流程，在Affymetrix HG-U133 Plus 2.0芯片上鉴定了2935个映射到lncRNAs的探针集。在对从基因表达综合数据库（GEO）下载的五个数据集的基因表达谱进行分析，并采用留一法验证过程后，我们发现正常肺组织与肿瘤样本之间有47个lncRNAs表达差异，NSCLC的两种亚型即鳞状细胞癌（SCC）和腺癌（AC）之间有19个lncRNAs表达不同。NSCLC与正常组织之间以及NSCLC各亚型之间不同的lncRNA表达谱可能对该癌症的发病机制具有潜在影响。lncRNAs筛选可能有助于NSCLC的诊断、亚分类和个性化治疗。
