PRLR is a Target of Oncogenic miR-204 in Low Grade Glioma and Involved in a ceRNA Network by Computational Biology

Jian-zhi DENG, Meng YAO, Xiao-hui CHENG, Yue-han ZHOU

Abstract


The aim of this study was to find out the competing endogenous RNA (ceRNA) of lncRNA-mRNA-miRNA regulatory network and analyze the target mRNA of low grade glioma (LGG) between different genders. The differentially expressed mRNA, lncRNA and miRNA were screened out from the downloaded TCGA LGG data by the comparison of different genders using R package. The online tools, mircode, miRDB, miRTarBase and TargetScan, were used to analyze regulatory of lncRNA-mRNA-miRNA. The 8 DElncRNAs (IGF2-AS, TTTY14, LINC00305, XIST, LINC00276, ZFY-AS1, TTTY15 and C8orf49) and 4 DEmiRNAs (hsa-mir-122, hsa-mir-372, hsa-mir-204 and hsa-mir-206) has interacted in 18 regulation pairs. PRLR was found out as a target mRNA from 201 target mRNA of the 4 DEmiRNAs. A ceRNA network was drawn according to regulatory of 8 DElncRNAs, 4 DEmiRNAs and 1 target mRNA. Then, the target mRNA, PRLR, and its related clinical survival data were analyzed by Cancer Cell Line Encyclopedia (CCLE) and kmplot. In conclusion, we can found out the differentially expressed mRNA, lncRNA and miRNA between male patients and female patients. Among then, 8 DElncRNAs, 4 miRNAs and 1 mRNA construct a ceRNA regulatory network.

Keywords


Low Grade Glioma, Computational biology, TCGA, Gender, PRLR, miR-204, ceRNA


DOI
10.12783/dtcse/ammso2019/30115

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