Identification of Biomarkers Involved in Adrenocortical Carcinoma bySystems Biology Approach

Adrenocortical Carcinoma (Cancer of the adrenal cortex or ACC) is believed to be rare cancer originating in the outer layer of the adrenal gland (steroid hormone-producing tissue). However, the overall ۵-year survival rate is about ۵۰% in these patients with an incidence of one to two per million populations annually. The goal of this research was to screen and find key genes in the development of ACC based on Systems biology approaches. From the GEO database, which is considered a database for gene expression profiling and RNA methylation profiling, the GEO set GSE۱۹۷۷۶ (platform: GPL۵۷۰) was downloaded. This Microarrays data contain the gene expression di↵erences between the tumor and normal samples, which contains ۴۴ tumor samples and ۴ normal samples, totaling ۴۸ samples. In order to screen the DEGs between tumorous tissue and normal tissue the web tool GEO۲R was used. Variables with adjusted P values <۰.۰۵ and | log FC| ۲ were regarded as statistically significant. The STRING online database is used to obtain the protein-protein interaction network information of DEGs. Then, the results were visualized by the Cytoscape software. Having produced The protein-protein interaction network (PPI Network) diagram, the Betweenness analysis method was used to calculate the top ۱۰ nodes. Survival analysis by GEPIA (the Gene Expression Profiling Interactive Analysis web server) demonstrates that the upregulated genes CRK and COL۱A۲ were involved in the poor prognosis of Adrenocortical Carcinoma. Moreover, the expression of these genes was dramatically upregulated in Carcinoma tissues compared to normal tissues. CRK and COL۱A۲ might be new biomarkers for prognosis, diagnosis and subsequent therapy of Adrenocortical Carcinoma

کلیدواژه ها:

Adrenocortical Carcinoma ، Adrenal Cortex ، Gene Expression Profiling ، Protein Interaction Mapping ، Protein-Protein Interaction Network ، Systems biology