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Abstract：
Colorectal cancer is a cancer that arises from the abnormal growth of cells in the colon or rectum. Osteosarcoma (OS) is a common primary bone tumor with high degree of malignancy. The configuration files for colorectal cancer dataset GSE142279 and OS datasets GSE197158 and GSE206448 were downloaded from Gene Expression Omnibus database using the platforms GPL20795, GPL20301, and GPL24676. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis (WGCNA) was performed. Construction and analysis of protein-protein interactions (PPI) network. Functional enrichment analysis, gene set enrichment analysis (GSEA) were performed. A heat map of gene expression was drawn. The Comparative Toxicogenomics Database (CTD) was used to find the diseases most associated with the core genes. TargetScan was used to screen miRNAs regulating DEGs. According to the Gene Ontology (GO) analysis, DEGs are mainly enriched in acetylcholine binding receptor activity involved in Wnt signaling pathway, cell polarity pathway, PI3K-Akt signaling pathway, receptor regulator activity, cytokine-cytokine receptor interaction, transcriptional misregulation in cancer, and inflammation-mediated regulation of tryptophan transport. In the Metascape enrichment analysis, GO enrichment items related to the regulation of Wnt signaling pathway, regulation of muscle system process, and regulation of actin filament-based movement. Eight core genes (CUX1, NES, BCL11B, PAX6, EMX1, MCOLN2, TRPA1, TRPC4) were identified. CTD showed that 4 genes (CUX1, EMX1, TRPA1, BCL11B) were associated with colorectal neoplasms, colorectal tumors, colonic diseases, multiple myeloma, OS, and inflammation. PAX6, TRPA1, BCL11B, MCOLN2, CUX1, and EMX1 are highly expressed in colorectal cancer and OS, and the higher the expression level, the worse the prognosis.
摘要：
结直肠癌是由结肠或直肠中细胞的异常生长引起的癌症。骨肉瘤（OS）是一种常见的原发性骨肿瘤，恶性程度高。使用平台GPL20795、GPL20301和GPL24676从基因表达综合数据库下载结直肠癌数据集GSE142279和OS数据集GSE197158和GSE206448的配置文件。筛选差异表达基因(DEGs)并进行加权基因共表达网络分析(WGCNA)。蛋白质-蛋白质相互作用(PPI)网络的构建与分析.功能富集分析，进行基因集富集分析(GSEA)。绘制了基因表达的热图。使用比较毒性基因组学数据库（CTD）来寻找与核心基因最相关的疾病。TargetScan用于筛选调节DEGs的miRNA。根据基因本体论(GO)分析,DEGs主要富含参与Wnt信号通路的乙酰胆碱结合受体活性,细胞极性通路，PI3K-Akt信号通路,受体调节活性，细胞因子-细胞因子受体相互作用，癌症中的转录失调，和炎症介导的色氨酸转运调节。在Metascape富集分析中，与Wnt信号通路调控相关的GO富集项目,肌肉系统过程的调节，以及基于肌动蛋白丝的运动调节。八个核心基因（CUX1，NES，BCL11B,PAX6，EMX1，MCLN2，TRPA1，TRPC4）被鉴定。CTD显示4个基因(CUX1、EMX1、TRPA1、BCL11B)与结直肠肿瘤相关,结直肠肿瘤，结肠疾病,多发性骨髓瘤,操作系统,和炎症。PAX6,TRPA1,BCL11B,MCLN2、CUX1和EMX1在结直肠癌和OS中高表达，表达水平越高，预后越差.
