Cui Meng, Yuan Junhua, Li Jun, Sun Bing, Li Tao, Li Yuantao, Wu Guoliang
Hepatogastroenterology. 2014 Oct;61(135):1942-5.
BACKGROUND/AIMS: We used bioinformatics technology to analyze gene expression profiles involved in colorectal cancer tissue samples and healthy controls.
In this paper, we downloaded the gene expression profile GSE4107 from Gene Expression Omnibus (GEO) database, in which a total of 22 chips were available, including normal colonic mucosa tissue from normal healthy donors (n=10), colorectal cancer tissue samples from colorectal patients (n=33). To further understand the biological functions of the screened DGEs, the KEGG pathway enrichment analysis were conducted. Then we built a transcriptome network to study differentially co-expressed links.
A total of 3151 DEGs of CRC were selected. Besides, total 164 DCGs (Differentially Coexpressed Gene, DCG) and 29279 DCLs (Differentially Co-expressed Link, DCL) were obtained. Furthermore, the significantly enriched KEGG pathways were Endocytosis, Calcium signaling pathway, Vascular smooth muscle contraction, Linoleic acid metabolism, Arginine and proline metabolism, Inositol phosphate metabolism and MAPK signaling pathway.
Our results show that the generation of CRC involves multiple genes, TFs and pathways. Several signal and immune pathways are linked to CRC and give us more clues in the process of CRC. Hence, our work would pave ways for novel diagnosis of CRC, and provided theoretical guidance into cancer therapy.
背景/目的：我们运用生物信息学技术分析了结直肠癌组织样本和健康对照中涉及的基因表达谱。
在本文中，我们从基因表达综合数据库（GEO）下载了基因表达谱GSE4107，其中共有22个芯片，包括来自正常健康供体的正常结肠黏膜组织（n = 10）、来自结直肠癌患者的结直肠癌组织样本（n = 33）。为了进一步了解筛选出的差异表达基因（DGE）的生物学功能，进行了KEGG通路富集分析。然后我们构建了一个转录组网络来研究差异共表达链接。
共筛选出3151个结直肠癌差异表达基因。此外，共获得164个差异共表达基因（DCG）和29279个差异共表达链接（DCL）。此外，显著富集的KEGG通路有内吞作用、钙信号通路、血管平滑肌收缩、亚油酸代谢、精氨酸和脯氨酸代谢、肌醇磷酸代谢和丝裂原活化蛋白激酶（MAPK）信号通路。
我们的结果表明，结直肠癌的发生涉及多个基因、转录因子和通路。一些信号和免疫通路与结直肠癌有关，为我们在结直肠癌发生过程中提供了更多线索。因此，我们的工作将为结直肠癌的新诊断方法铺平道路，并为癌症治疗提供理论指导。
