Screening and Identification of Differentially Expressed Genes Expressed among Left and Right Colon Adenocarcinoma

• Published in: BioMed research international Vol. 2020; no. 2020; pp. 1 - 16
• Main Authors: Wang, Gui-Ying, Feng, Li, Yang, Yang, Zhang, Xue, Han, Jing, Zhang, Nan
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; Hindawi Limited
• Subjects: Adenocarcinoma; Adenocarcinoma - genetics; Adenocarcinoma - metabolism; Adenocarcinoma - mortality; Annotations; Bioinformatics; Cancer; Colon; Colonic Neoplasms - genetics; Colonic Neoplasms - metabolism; Colonic Neoplasms - mortality; Colorectal cancer; Cyclin-dependent kinase; Data mining; Databases, Nucleic Acid; Disease-Free Survival; Encyclopedias; Enzyme inhibitors; Epidermal growth factor; Female; Fibroblast growth factor receptor 1; Gene expression; Gene Expression Regulation, Neoplastic; Genes; Genomes; Humans; Kinases; Male; Malignancy; MDM2 protein; Medical prognosis; Metastasis; MicroRNAs; Mutation; Neoplasm Proteins - biosynthesis; Neoplasm Proteins - genetics; Pathogenesis; Prognosis; Protein expression; Protein interaction; Proteins; Signal transduction; Smad3 protein; Software; Survival analysis; Survival Rate; Transcriptome; Tumors
• ISSN: 2314-6133; 2314-6141
• DOI: 10.1155/2020/8465068

Purpose. Colon adenocarcinoma (COAD) is the third most common malignancy globally and is further categorized as left colon adenocarcinoma (LCOAD) or right colon adenocarcinoma (RCOAD) depending on the location of the primary tumor. The therapeutic outcome and long-term prognosis for patients with COAD are less than satisfactory, and this may be associated with tumor location. Therefore, it is important to investigate the genetic differences in COAD at different sites. Patients and Methods. Public data associated with COAD were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using R software (version 3.5.3), and functional annotation of DEGs was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction network was constructed, hub genes were identified and analyzed, and data mining using Gene Expression Profiling Interactive Analysis (GEPIA) was conducted. Results. A total of 286 DEGs were identified between LCOAD and RCOAD. Additionally, 10 hub genes associated with COAD at different locations were screened, namely, CDKN2A, IGF1R, MDM2, SMAD3, SLC2A1, GRM5, PLCB4, FGFR1, UBE2V2, and TNFRSF10B. The expression of cyclin-dependent kinase inhibitor 2A (CDKN2A) and solute carrier family 2 member 1 (SLC2A1) was significantly associated with pathological stage P<0.05. COAD patients with high expression levels of CDKN2A exhibited poorer overall survival (OS) times than those with low expression levels P<0.05. Conclusion. CDKN2A expression was significantly different between LCOAD and RCOAD and was closely related to the prognosis of COAD. It is of great value for further understanding of the pathogenesis of LCOAD and RCOAD.