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| Bioinformatics analysis of endometrial cancer based on TCGA and Oncomine database#br# |
| DUAN Hongtao PAN Yong |
| Department of Ultrasound, Zhuzhou Hospital Affiliated of Xiangya School of Medical, Central South University, Hunan Province, Zhuzhou 412007, China |
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Abstract Objective To conduct a bioinformatics analysis of endometrial cancer through TCGA and Oncomine databases, and to deeply explore the key genes of endometrial cancer. Methods Endometrial cancer transcriptome data were download from the TCGA database, differentially expressed genes were obtained with R software to compare endometrial cancer and normal paracancer tissues and functional enrichment analysis of differentially expressed genes were performde with online bioinformatics tools, and a protein-protein interaction (PPI) network was constructed, and Cytoscape software was screened the PPI network to obtain the Hub gene. Further meta-analysis was performed on the Oncomine database to obtain key genes. Results A total of 1897 differentially expressed genes in endometrial cancer were excavated, of which 1085 were up-regulated and 812 were down-regulated. The functional enrichment analysis was performed on them. The PPI network was constructed using online bioinformatics tools. The top ten Hub genes were CDC20, CCNB1, BUB1, CCNB2, DLGAP5, TPX2, NCAPG, NCAPH, CENPF, and CDCA8. The Hub gene was meta-analyzed through the Oncomine database, and the five key genes were finally obtained BUB1, TPX2, NCAPH, CENPF, and CDCA8. Conclusion Based on the TCGA and Oncomine databases, obtaining key genes for endometrial cancer provide new ideas for the diagnosis, treatment and prognosis of endometrial cancer.
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