Bioinformatics analysis of competing endogenous RNA and screening of biomarkers in childhood wilms tumor

Childhood wilms tumor (WT) accounts for about 7% of the childhood cancers. In this paper, we aim to find out the competing endogenous RNA (ceRNA) and the potential biomarker of WT by using bioinformatics analysis method. Differentially expressed lncRNA (DElncRNA), differentially expressed mRNA (DEmRNA) and differentially expressed miRNA (DEmiRNA) were screened from the WT data that downloaded from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) by limma package. The ceRNA network was constructed by the screened 102 DElncRNAs, 24 DEmiRNAs and 148 DEmRNAs by using mircode, miRDB, miRTarBase and TargetScan. Based on the 148 DEmRNAs in the ceRNA network, Gene ontology (GO) and pathway were enriched by DAVID and KOBAS online tools. The significant mRNAs, HAND2 and CCNE2, which regarded as potential biomarkers were proved by CCLE website.