Tianjin Medical Journal

Tianjin Medical Journal ›› 2018, Vol. 46 ›› Issue (9): 916-922.doi: 10.11958/20180333

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Time-series analysis of expression profile of adrenocortical carcinoma in children for screening related targets

HAN Yuan-yuan, LI Xiao-ge, WANG Shu-huan, LIU Ge-li   

  1. 1 Graduate School of Tianjin Medical University, Tianjin 300070, China; 2 Tianjin Binhai New Area Hangu Hospital of Traditional Chinese Medicine; 3 Tianjin Jinnan District Xiaozhan Hospital; 4 Tianjin Binhai New Area Tanggu Women and Children Health Cente；5 Tianjin Medical University General Hospital
  • Received:2018-03-07 Revised:2018-05-14 Published:2018-09-15 Online:2018-10-10
  • Contact: LIU Geli E-mail:liugeli2001@126.com

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Abstract: Objective To explore the potential pathogenic mechanism of adrenocortical carcinoma (ACT), and screen out genes that may be related to biological targets. Methods In this study, the gene expression datasets of ACT were obtained from the Gene Expression Omnibus (GEO) with the accession number of GSE75415. Through R programming software, the microarray preprocessing and differential expression analysis of 18 ACT tissue samples (experimental group)and 7 normal adrenocortical tissue samples (control group) were conducted to identify potential biomarkers for ACT in different stages. Besides, through functional enrichment and Kaplan-Meier analysis, several more reliable biomarkers for ACT were identified. At the same time, the two generation sequencing data of the TCGA database, including 79 ACT samples were analyzed, and the genes that can affect the survival of ACT patients were screened. Results There were 248, 334, 315 and 561 differentially expressed genes in stage1-4 respectively. There were 73 overlapping genes (OLDEGs) among the different grading samples. Central genes HSPA13, GARS, STXBP1, AKIRIN1 and TUBB3, were up-regulated in all of stages of ACT samples compared with those of normal samples, while, central genes ADH1B, DCN, RASSF2, PDGFRA, PLAT, C3 and FOS were down-regulated in ACT samples. They were found to be significantly associated with pathways of immune response, cell cycle, phosphorylation and cruor, which were all closely related with ACT progression. Besides, Kaplan-Meier analysis of 73 OLDEGs in 79 ACT samples from TCGA database identified several genes, including XPO1, RACGAP1,PDGFD, NR4A2, MXRA5, VPS51, TMED3, NDFIP1 and CDKN1C, which were significantly associated with ACT overall survival. Conclusion Differentially expressed genes and survival related genes in all of stages can serve as new targets for ACT therapy, and which should be helpful for the understanding of its pathogenesis and prognosis.

Key words: adrenal cortex neoplasms, gene expression regulation, neoplastic, tumor markers, biological, Gene Expression Omnibus, subsistence analysis