Identification of microRNAs associated with the aggressiveness of prolactin pituitary tumors using bioinformatic analysis.

Identification of microRNAs associated with the aggressiveness of prolactin pituitary tumors using bioinformatic analysis. Oncol Rep. 2019 May 28;: Authors: Wang Z, Gao L, Guo X, Feng C, Deng K, Lian W, Xing B Abstract Aggressive prolactin pituitary tumors, which exhibit aggressive behaviors and resistance to conventional treatments, are a huge challenge for neurosurgeons. Many studies have investigated the roles of microRNAs (miRNAs) in pituitary tumorigenesis, invasion and metastasis, but few have explored aggressiveness‑associated miRNAs in aggressive pituitary tumors. Differentially expressed miRNAs (DEMs) between aggressive and nonaggressive prolactin pituitary tumors were screened using the GSE46294 miRNA expression profile downloaded from the GEO database. The potential target genes of the top three most highly upregulated and downregulated DEMs were predicted by miRTarBase, and potential functional annotation and pathway enrichment analysis were performed using the DAVID database. Protein‑protein interaction (PPI) and miRNA‑hub gene interaction networks were constructed by Cytoscape software. A total of 43 DEMs were identified, including 19 upregulated and 24 downregulated miRNAs, between aggressive and nonaggressive prolactin pituitary tumors. One hundred and seventy and 680 target genes were predicted for the top three most highly upregulated and downregulated miRNAs, respectively, and these genes were involved in fun...
Source: Oncology Reports - Category: Cancer & Oncology Tags: Oncol Rep Source Type: research