Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China.
Int J Oncol. 2014 Apr;44(4):1163-70. doi: 10.3892/ijo.2014.2262. Epub 2014 Jan 21.
The aim of this study was to find disease-associated genes and gene functions in esophageal squamous cell carcinoma (ESCC) with DNA microarrays. We downloaded the gene expression profile GSE20347 from the Gene Expression Omnibus database including 17 ESCC and 17 matched normal adjacent tissue samples. Compared with normal samples, the probe level data were pre-processed and the differentially expressed genes (DEGs) were identified (FDR <0.05, and |logFC|>2) with packages in R language. The selected DEGs were further analyzed with bioinformatic methods. After an interaction network of DEGs was constructed by STRING, we selected the most important hub gene through network topological analysis (including node degree, clustering coefficient and path length) and analyzed functions and pathways of the hub gene network. A total of 538 genes were filtered as DEGs between normal and disease samples, and we selected the gene TSPO as the most important hub gene. Among its interactors, the CTSK gene and the IL8 gene participated in the toll-like receptor signaling pathway which is closely related to tumor occurrence. The TSPO gene and its interactors may affect the cancer-specific gene expression by participating in the toll-like receptor signaling pathway. Our discovery may be useful in investigating the complex interacting mechanisms underlying the disease. However, further experiments are still needed to confirm our result.
本研究旨在利用 DNA 微阵列寻找食管鳞状细胞癌(ESCC)相关的疾病基因和基因功能。我们从基因表达综合数据库(GEO)中下载了基因表达谱 GSE20347,该数据集包含 17 个 ESCC 组织样本和 17 个配对的正常食管组织样本。我们采用 R 语言中的软件包对探针水平的数据进行预处理,并筛选出差异表达基因(FDR<0.05,|logFC|>2)。进一步采用生物信息学方法对差异表达基因进行分析。通过 STRING 构建差异表达基因的相互作用网络后,我们采用网络拓扑分析(包括节点度、聚类系数和路径长度)选择最重要的枢纽基因,并对枢纽基因网络的功能和通路进行分析。我们筛选出了正常和疾病样本之间的 538 个差异表达基因,选择 TSPO 基因为最重要的枢纽基因。在其相互作用物中,CTSK 基因和 IL8 基因参与与肿瘤发生密切相关的 Toll 样受体信号通路。TSPO 基因及其相互作用物可能通过参与 Toll 样受体信号通路影响肿瘤特异性基因表达。我们的发现可能有助于研究疾病相关的复杂相互作用机制,但仍需要进一步的实验来验证我们的结果。