Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, PR China.
Int J Mol Med. 2012 Jan;29(1):95-101. doi: 10.3892/ijmm.2011.796. Epub 2011 Sep 15.
Squamous lung cancer is a common type of lung cancer; however, its mechanism of oncogenesis is still unknown. The aim of this study was to screen candidate genes of squamous lung cancer using a bioinformatics strategy and elucidate the mechanism of squamous lung cancer. Published microarray data of the GSE3268 series was obtained from Gene Expression Omnibus (GEO). Significance analysis of microarrays was performed using the software R, and differentially expressed genes by R analysis were harvested. The relationship between transcription factors and target genes in cancer were collected from the Transcriptional regulatory element database. A transcriptome network analysis method was used to construct gene regulation networks and select the candidate genes for squamous lung cancer. SPI1, FLI1, FOS, ETS2, EGR1 and PPARG were defined as candidate genes for squamous lung cancer by the transcriptome network analysis method. Among them, 5 genes had been reported to be involved in lung cancer, except SPI1 and FLI1. Effective recall on previous knowledge conferred strong confidence in these methods. It is demonstrated that transcriptome network analysis is useful in the identification of candidate genes in disease.
鳞状肺癌是一种常见的肺癌类型，但它的致癌机制尚不清楚。本研究旨在使用生物信息学策略筛选鳞状肺癌的候选基因，并阐明鳞状肺癌的发生机制。从基因表达综合数据库（GEO）中获取了 GSE3268 系列的已发表微阵列数据。使用 R 软件对微阵列进行了显著性分析，提取了 R 分析差异表达的基因。从转录因子数据库中收集了癌症中转录因子与靶基因之间的关系。使用转录组网络分析方法构建基因调控网络，并选择鳞状肺癌的候选基因。通过转录组网络分析方法，确定 SPI1、FLI1、FOS、ETS2、EGR1 和 PPARG 为鳞状肺癌的候选基因。其中，SPI1 和 FLI1 这 2 个基因已被报道与肺癌有关，其他 5 个基因尚未有报道。对先前知识的有效回忆为这些方法提供了强有力的信心。研究表明，转录组网络分析在疾病候选基因的鉴定中是有用的。
