he cascade reaction of p-pak-1/P–Catenins-675/c-myc/Cyclin-D1 to promote the malignant proliferation of colon cancer cells (Chen et al., 2017; Yang et al., 2017). Moreover, it was found that Fn could enhance the growth and migration of CRC cells by the overexpression of microRNA-21 by means of TLR4/NF-B signaling pathway (Yang et al., 2017). Although these elements are linked with all the carcinogenesis induced by Fn, still small is identified about genes that contribute to CRC in Fn infection microenvironment. Recently, the high-throughput gene microarray evaluation of Fn-infected and non-infected Caco-2 cells allows us to discover the worldwide SIK3 custom synthesis molecular modifications from transcriptome alterations to somatic mutations, as well as epigenetic changes (De et al., 2015; Jia et al., 2017). In this study, the GSE102573 dataset from the Gene Expression Omnibus (GEO, http://ncbi. nlm.nih.gov/geo) database was downloaded and also the differentially expressed genes (DEGs) have been comprehensively identified utilizing GEO2R. Then, a protein-protein interaction (PPI) network of those DEGs was established and ten hub genes using a higher degree of connectivity have been screen out. Additionally, Gene Ontology (GO) involving the PKD1 site biological processes (BPs), molecular functions (MFs), and cellular elements (CCs) of those DEGs and their Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways have been also analyzed. The potential correlation and expression levels have been additional analyzed by means of Gene Expression Profiling Interactive Analysis (GEPIA) (http://gepia.cancer-pku.cn/index.html) and validated through quantitative reverse transcription-PCR (qRT-PCR). Our information showed that the expression of centrosomal protein of 55 kDa (CEP55) is drastically greater in Fn-infected Caco-2 cells. Knocking down of CEP55 could arrest the cell cycle progression and induce apoptosis in Fn-infected Caco-2 cells. The expression of CEP55 was positively correlated using the Fn amount in Fn-infected CRC individuals, and these individuals with higher CEP55 expression had an clearly poorer differentiation, worse metastasis and decreased cumulative survival rate.Identification of DEGsGEO2R was utilized to identify the DEGs involving Fn-infected and Fn-non-infected Caco-2 samples. The adjusted p-value, which could help correct false positives, was applied and adjusted p 0.01 and |log fold alter (FC)| 1 had been chosen as the cutoff criteria. The heat map and volcano plot have been drawn using the “gplots” package in R three.five.3 (Ge et al., 2021; Ritchie et al., 2015). A total of 272 upregulated genes and 178 downregulated genes had been identified and also the best ten genes using a high degree of connectivity had been selected as hub genes.GO and KEGG Pathway Evaluation of DEGsGO evaluation is usually made use of to annotate genes and their items with CCs, MFs, BPs, and other functions (Gaudet et al., 2017; Ning et al., 2013). The KEGG databases address genomic and biological pathways related to diseases and drugs and offer a extensive understanding of biological systems and genomic functional info (Kanehisa, 2002). DAVID (http://david. ncifcrf.gov) (version 6.8) can integrate substantial amounts of biological information and related evaluation tools to supply systematic and extensive biological function annotation facts for high-throughput gene expression (Huang et al., 2007).To visualize the essential CCs, MFs, BPs and KEGG pathways from the DEGs, the DAVID on the web database was made use of to execute biological evaluation. p 0.05 was employed as the cut-off criterion for statistically
