Institute of Precision Medicine, Jining Medical University, Jining 272067, China.
Department of Surgery, Jining Medical University, Jining 272067, China.
Int J Mol Sci. 2017 Mar 28;18(4):722. doi: 10.3390/ijms18040722.
Colorectal cancer (CRC) is one of the most common malignant diseases worldwide, but the involved signaling pathways and driven-genes are largely unclear. This study integrated four cohorts profile datasets to elucidate the potential key candidate genes and pathways in CRC. Expression profiles GSE28000, GSE21815, GSE44076 and GSE75970, including 319 CRC and 103 normal mucosa, were integrated and deeply analyzed. Differentially expressed genes (DEGs) were sorted and candidate genes and pathways enrichment were analyzed. DEGs-associated protein-protein interaction network (PPI) was performed. Firstly, 292 shared DEGs (165 up-regulated and 127 down-regulated) were identified from the four GSE datasets. Secondly, the DEGs were clustered based on functions and signaling pathways with significant enrichment analysis. Thirdly, 180 nodes/DEGs were identified from DEGs PPI network complex. Lastly, the most significant 2 modules were filtered from PPI, 31 central node genes were identified and most of the corresponding genes are involved in cell cycle process, chemokines and G protein-coupled receptor signaling pathways. Taken above, using integrated bioinformatical analysis, we have identified DEGs candidate genes and pathways in CRC, which could improve our understanding of the cause and underlying molecular events, and these candidate genes and pathways could be therapeutic targets for CRC.
结直肠癌（CRC）是全球最常见的恶性疾病之一，但涉及的信号通路和驱动基因在很大程度上尚不清楚。本研究整合了四个队列的基因表达谱数据集，以阐明 CRC 中的潜在关键候选基因和通路。整合并深入分析了包含 319 例 CRC 和 103 例正常黏膜的表达谱数据集 GSE28000、GSE21815、GSE44076 和 GSE75970。筛选差异表达基因（DEGs），并进行候选基因和通路富集分析。构建 DEGs 相关的蛋白质-蛋白质相互作用网络（PPI）。首先，从四个 GSE 数据集中共鉴定出 292 个共享 DEGs（165 个上调和 127 个下调）。其次，根据功能和信号通路对 DEGs 进行聚类，进行具有显著富集分析。第三，从 DEGs PPI 网络复合物中鉴定出 180 个节点/DEGs。最后，从 PPI 中筛选出最重要的 2 个模块，鉴定出 31 个核心节点基因，这些基因大多数涉及细胞周期过程、趋化因子和 G 蛋白偶联受体信号通路。综上，通过整合生物信息学分析，我们确定了结直肠癌的 DEGs 候选基因和通路，这可以增进我们对病因和潜在分子事件的理解，这些候选基因和通路可能成为 CRC 的治疗靶点。
