Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis

Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis
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通过生物信息学分析鉴定早发结直肠癌的潜在关键基因和通路

DOI:
10.1177/1073274819831260
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发表时间:
2019-02-20
期刊:
影响因子:
2.6
通讯作者:
Zhao, Yilin
Zhao, Yilin
中科院分区:
医学4区
文献类型:
--
作者:
Zhao, Bin;Baloch, Zulqarnain;Zhao, Yilin

文献摘要

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本研究旨在通过生物信息学的方法,识别早发性结直肠癌(CRC)中潜在的关键蛋白质相互作用网络、基因和相关通路。我们选择微阵列数据GSE 4107,包括12例患者的结肠粘膜和10例健康对照粘膜;最初,GSE 4107被下载并使用limma软件包进行分析,以鉴定差异表达基因(DEG)。根据校正后的P值= 2的标准,共选择了131个DEG,其中包括早发性CRC患者的108个上调基因和23个下调基因。通过基因本体功能富集分析和京都基因与基因组百科全书(KEGG)途径分析,了解DEG的生物学过程、细胞组分、分子功能和KEGG途径。最后,蛋白质-蛋白质相互作用(PPI)的构建,并确定了枢纽蛋白模块。ACTA 2、ACTG 2、MYH 11、CALD 1、MYL 9、TPM 2和LMOD 1等基因与CRC密切相关。综上所述,本研究表明肌肉收缩和血管平滑肌收缩信号通路涉及分子机制,这提高了我们对CRC的认识,并可作为CRC的新治疗靶点。
This study was designed to identify the potential key protein interaction networks, genes, and correlated pathways in early-onset colorectal cancer (CRC) via bioinformatics methods. We selected microarray data GSE4107 consisting 12 patient's colonic mucosa and 10 healthy control mucosa; initially, the GSE4107 were downloaded and analyzed using limma package to identify differentially expressed genes (DEGs). A total of 131 DEGs consisting of 108 upregulated genes and 23 downregulated genes of patients in early-onset CRC were selected by the criteria of adjusted P values = 2. The gene ontology functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were accomplished to view the biological process, cellular components, molecular function, and the KEGG pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub protein module was identified. Genes such as ACTA2, ACTG2, MYH11, CALD1, MYL9, TPM2, and LMOD1 were strongly implicated in CRC. In summary, in this study, we indicated that molecular mechanisms were involved in muscle contraction and vascular smooth muscle contraction signaling pathway, which improve our understanding of CRC and could be used as new therapeutic targets for CRC.