Screening Hub Genes of Adrenocortical Carcinoma Based on Bioinformatics Analysis
Zhang Delian;Cai Xintian;Hong Jing;Hypertension Center of the People′s Hospital of Xinjiang Uygur Autonomous Region, Hypertension Institute of Xinjiang, NHC Key Laboratory of Hypertension Clinical Research;
Objective To study hub genes of adrenocortical carcinoma, and to explore possible prognostic evaluation and screening of molecular biomarkers for diagnosis by bioinformatics methods, which provides bioinformatic evidence support for potential therapeutic targets of adrenocortical carcinoma. Methods The data of GSE14922, GSE19750 and GSE90713 chips were downloaded from GEO database, and a series of bioinformatics methods were used to process, analyze and screen the differential genes of GSE14922 chips. Then select hub genes through CytoHuhha plug-in, and finally use the online analysis tools GEPIA and GSE19750, GSE90713 chip data to carry out survival analysis and diagnostic test analysis of hub genes. Results Totally 90 differential genes were obtained from the GSE14922 chip. The 6 hub genes obtained through the CytoHuhha plug-in are: BUB1, CDK1, CENPF, NDC80, ASPM and DLGAP5. The results of Kaplan-Meier survival curve analysis showed that the above hub genes have a significant impact on the diagnosis and survival prognosis of adrenocortical carcinoma patients. The results of ROC analysis show that the above hub genes have better diagnostic significance for patients with adrenocortical carcinoma. Conclusion The 6 hub genes obtained through bioinformatics analysis play an important role in the progression of adrenal cortical cancer, and provide a new theoretical basis for revealing the potential diagnosis, prognostic markers and therapeutic targets of adrenal cortical cancer.