An integrated analysis of key microRNAs, regulatory pathways and clinical relevance in bladder cancer

Abstract

ObjectiveThe aim of this study was to identify the key microRNAs (miRNAs) and their regulatory networks in bladder cancer (BC).Materials and methodsThree miRNA and three gene expression microarray datasets were downloaded for analysis from Gene Expression Omnibus database. The differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) were accessed by the use of GEO2R. Gene ontology process and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed by using the Database for Annotation, Visualization and Integrated Discovery program. Protein–protein interaction (PPI) and miRNA–mRNA regulatory networks were established by using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape tool. Besides, the results and clinical significance were validated in The Cancer Genome Atlas (TCGA) dataset.ResultsA total of 18 significant DEMs, 121 upregulated DEGs and 199 downregulated DEGs were identified. Functional enrichment analysis showed that significant DEGs were related to cell cycle and MAPK pathway in BC. Key DEGs such as CDK1, CCNB1, VGL and PRKCA were found as the hub genes in PPI networks. TCGA analysis supported our results, and the miRNAs were correlated with the pathological stages and survival of BC patients.ConclusionIn this study, we found 18 DEMs that may play key roles in the regulatory networks of BC. The higher expression of miR-99a, miR-100, miR-125b, miR-145, miR-214 and miR-487b or the lower expression of miR-138 and miR-200a can indicate poor survival in the prognosis of BC. Further experimental studies are required to test our results.

Long noncoding RNAs, ENST00000598996 and ENST00000524265, are correlated with favorable prognosis and act as potential tumor suppressors in bladder cancer

“…Li et al also revealed that upregulated miR-558 promoted cell migration, invasion and angiogenesis by targeting HPSE in T24T and UMUC3 cells (75). CCNB1, the G2/M transition member of the cell cycle, was significantly upregulated in BC tumor tissues, which was consistent with a previous study (76). Notably, these studies also reflect the accuracy of the predicted ceRNA network in the present study.…”

MicroRNAs Which Can Prognosticate Aggressiveness of Bladder Cancer

“…Moreover, the downregulation of mir-145-5p was found to be directly targeting the TAGLN2 gene (its increased expression promoted cell proliferation and migration). Li et al also confirmed the correlation between the overexpression of miR-145-5p and poor survival [36]. Unfortunately, we failed to achieve such correlation.…”

Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis

“…Integrated analysis based on collective datasets is a promising strategy to overcome these shortcomings. The microarray and sequencing data that deposited in the public databases such as The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and International Cancer Genome Consortium (ICGC) have generated valuable information to identify biomarkers or to explore molecular landscapes of cancers, especially at transcriptome level [ 10 – 15 ]. Integrated transcriptome analyses have been employed to disclose the molecular mechanisms of cancers.…”