RESUMO
Aims: This study was conducted to establish the potential competing endogeneous RNA (ceRNA) network for predicting prognoses in kidney papillary renal cell carcinoma (KIRP) and explore novel therapeutic targets. Methods: The edgeR package in R was used to determine differentially expressed messenger RNAs (mRNAs), long non-coding RNAs (lncRNAs) and microRNAs (miRNAs), based on data from The Cancer Gene Atlas Program (TCGA) and the Genotype Expression (GTEx) databases. Weighted gene co-expression network analysis (WGCNA) was performed to filter out the mRNAs or lncRNAs that were strongly related to KIRP. The miRNAs that possibly sponged by differentially expressed RNAs lncRNAs (DElncRNAs) were screened using miRcode. Starbase, miRDB, and TargetScan sets were utilized to predict target mRNAs to corresponding miRNAs. LASSO and multivariate Cox regression analyses were applied for the determination of potential prognostic significance. Finally, the lncRNA-miRNA-mRNA ceRNA network was constructed. Results: A total of 1739 DEmRNAs and 1599 DElncRNAs were identified in KIRP. WGCNA analysis suggested that DEmRNAs in the blue module and DElncRNAs in the turquoise module were closely correlated with KIRP. An 8-gene signature was constructed, which had prognostic significance and predictive value in KIRP. Of note, a lncRNA-miRNA-mRNA ceRNA network (including 18 lncRNAs, 5 miRNAs, and 7 mRNAs) was established. Conclusion: This investigation constructed a new lncRNA-miRNA-mRNA ceRNA network, and proposed some genes that may be novel targets, as well as a theoretical basis for the treatment of patients with KIRP.
