Identification of the circRNA-miRNA-mRNA Prognostic Regulatory Network in Lung Adenocarcinoma

Background: Numerous studies have identified that circular RNAs (circRNAs) can serve as competing endogenous RNAs (ceRNAs) to regulate tumor progression. However, there are still a large number of circRNAs to be deciphered.

Objective: The purpose of this study was to reveal novel circRNAs and their potential role in lung adenocarcinoma (LUAD).

Methods: To unveil LUAD-related circRNAs, microRNA (miRNAs), and messenger RNA (mRNA) and elucidate their possible molecular mechanisms, we employed a strategy combining extensive data mining and bioinformatics methods. According to the results of bioinformatics workflow analysis, a novel circRNA-miRNA-mRNA network was constructed.

Results: Ten circRNAs with different expressions were acquired from four Gene Expression Omnibus (GEO) microarray datasets. Seven Prognostic-related differential miRNAs of LUAD were gained from The Cancer Genome Atlas (TCGA). Simultaneously, the miRNA reaction components corresponding to the ten circRNAs were predicted. Two circRNA-miRNA interactions including two circRNAs (hsa_circ_0008234 and hsa_circ_0002360) and two miRNAs (hsa-miR-490-3p and hsa-miR-1293) were identified above. Then, target genes of the two miRNAs and differently expressed genes (DEGs) from TCGA on LUAD were collected. Three hub-genes (ADCY9, NMUR1, SYT1) were determined according to prognosis in patients with LUAD ulteriorly.

Conclusions: hsa_circ_0008234/hsa-miR-490-3p/SYT1 and hsa_circ_0002360/hsa-miR-1293/ (ADCY9, NMUR1) networks were established, and identified molecules may be involved in pathogenesis and prognosis in patients with LUAD.