PURPOSE: This study aimed to detect the differentially expressed genes between oral squamous cell carcinoma (OSCC) tissues and adjacent normal tissues, and perform pathway analysis and protein-protein interaction (PPI) analysis on differentially expressed genes (DEGs). METHODS: Gene Expression Omnibus (GEO) database related to human tumors was selected from the National Center for Biotechnology Information (NCBI), and GSE31056 and GSE3524, two microarrays containing OSCC gene expression data, were extracted from it. Analysis of differentially expressed genes in the two microarrays was performed using "R" software, and the volcanic map was drawn. Then, Venn diagram was used to integrate the differentially expressed genes screened out by the two microarrays, and PPI [Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG)] analysis of DEGs after integration was performed using Cytoscape, DAVID, STRING and KOBAS. A total of 207 differentially expressed genes were screened out by the two microarrays. 103 proteins encoded by differentially expressed genes screened out by STRING software had interaction. The expression network of differentially expressed genes was constructed, and some proteins, closely related to other proteins such as STAT1, were screened out by Cytoscape software. RESULTS: GO analysis and KEGG analysis found that the differentially expressed genes were mainly enriched in "extracellular region", "extracellular region part" and "membrane-bound vesicle", and mainly involved in biological processes such as "Amoebiasis", "Glycerolipid metabolism" and "Arachidonic acid metabolism". In this study, 207 differentially expressed genes were successfully screened out from the two OSCC microarrays. PPI, GO and KEGG pathways of 103 interacting proteins were successfully constructed. Key genes were screened out, annotation and pathway analysis of which were performed. CONCLUSION: This study was helpful to further study the relationship between OSCC gene directions.
PURPOSE: This study aimed to detect the differentially expressed genes between oral squamous cell carcinoma (OSCC) tissues and adjacent normal tissues, and perform pathway analysis and protein-protein interaction (PPI) analysis on differentially expressed genes (DEGs). METHODS: Gene Expression Omnibus (GEO) database related to humantumors was selected from the National Center for Biotechnology Information (NCBI), and GSE31056 and GSE3524, two microarrays containing OSCC gene expression data, were extracted from it. Analysis of differentially expressed genes in the two microarrays was performed using "R" software, and the volcanic map was drawn. Then, Venn diagram was used to integrate the differentially expressed genes screened out by the two microarrays, and PPI [Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG)] analysis of DEGs after integration was performed using Cytoscape, DAVID, STRING and KOBAS. A total of 207 differentially expressed genes were screened out by the two microarrays. 103 proteins encoded by differentially expressed genes screened out by STRING software had interaction. The expression network of differentially expressed genes was constructed, and some proteins, closely related to other proteins such as STAT1, were screened out by Cytoscape software. RESULTS: GO analysis and KEGG analysis found that the differentially expressed genes were mainly enriched in "extracellular region", "extracellular region part" and "membrane-bound vesicle", and mainly involved in biological processes such as "Amoebiasis", "Glycerolipid metabolism" and "Arachidonic acid metabolism". In this study, 207 differentially expressed genes were successfully screened out from the two OSCC microarrays. PPI, GO and KEGG pathways of 103 interacting proteins were successfully constructed. Key genes were screened out, annotation and pathway analysis of which were performed. CONCLUSION: This study was helpful to further study the relationship between OSCC gene directions.
Authors: Mario Pérez Sayáns; Cintia Micaela Chamorro Petronacci; Alejandro Ismael Lorenzo Pouso; Elena Padín Iruegas; Andrés Blanco Carrión; José Manuel Suárez Peñaranda; Abel García García Journal: J Clin Med Date: 2019-11-07 Impact factor: 4.241