Expression profiles analysis identifies the values of carcinogenesis and the prognostic prediction of three genes in adrenocortical carcinoma.

Expression profiles analysis identifies the values of carcinogenesis and the prognostic prediction of three genes in adrenocortical carcinoma. Oncol Rep. 2019 Feb 19;: Authors: Gao Z, Man X, Li Z, Bi J, Liu X, Li Z, Zhu Y, Zhang Z, Kong C Abstract Adrenocortical carcinoma (ACC) is a rare disease associated with a poor prognosis. Furthermore, the underlying molecular mechanism of carcinogenesis is poorly understood, and prognostic prediction of ACC has low accuracy. In the present study, a bioinformatics approach was used to investigate the molecular mechanisms and prognosis of ACC. Samples of adrenal tumors were collected from patients undergoing adrenalectomy at the Department of Urology, the First Hospital of China Medical University. The analyzed gene datasets were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) database. Following this, the differentially expressed genes (DEGs) were included in Gene Ontology enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, protein‑protein interaction network and survival analyses. MTT colorimetric assays, colony formation assays and 5‑ethynyl‑20‑deoxyuridine incorporation assays were also conducted to evaluate ACC cell proliferation. The identified DEGs included 20 downregulated genes and 51 upregulated genes, which were highly associated with the cell cycle, organelle fission, chromosome segregation, cell division and spindle stabilit...
Source: Oncology Reports - Category: Cancer & Oncology Tags: Oncol Rep Source Type: research