Your browser doesn't support javascript.
loading
Identification and analysis of long non-coding RNA related miRNA sponge regulatory network in bladder urothelial carcinoma.
Wang, Jiawu; Zhang, Chengyao; Wu, Yan; He, Weiyang; Gou, Xin.
Afiliação
  • Wang J; 1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
  • Zhang C; 2Department of Head and Neck Cancer Center, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Shapingba District, Chongqing, China.
  • Wu Y; 3Department of General Surgery, University-Town Hospital of Chongqing Medical University, Shapingba District, Chongqing, China.
  • He W; 1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
  • Gou X; 1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China.
Cancer Cell Int ; 19: 327, 2019.
Article em En | MEDLINE | ID: mdl-31827401
BACKGROUND: The aim of this study was to investigate the regulatory network of lncRNAs as competing endogenous RNAs (ceRNA) in bladder urothelial carcinoma (BUC) based on gene expression data derived from The Cancer Genome Atlas (TCGA). MATERIALS AND METHODS: RNA sequence profiles and clinical information from 414 BUC tissues and 19 non-tumor adjacent tissues were downloaded from TCGA. Differentially expressed RNAs derived from BUC and non-tumor adjacent samples were identified using the R package "edgeR". Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using the "clusterProfiler" package. Gene ontology and protein-protein interaction (PPI) networks were analyzed for the differentially expressed mRNAs using the "STRING" database. The network for the dysregulated lncRNA associated ceRNAs was then constructed for BUC using miRcode, miRTarBase, miRDB, and TargetScan. Cox regression analysis was performed to identify independent prognostic RNAs associated with BUC overall survival (OS). Survival analysis for the independent prognostic RNAs within the ceRNA network was calculated using Kaplan-Meier curves. RESULTS: Based on our analysis, a total of 666, 1819 and 157 differentially expressed lncRNAs, mRNAs and miRNAs were identified respectively. The ceRNA network was then constructed and contained 59 lncRNAs, 23 DEmiRNAs, and 52 DEmRNAs. In total, 5 lncRNAs (HCG22, ADAMTS9-AS1, ADAMTS9-AS2, AC078778.1, and AC112721.1), 2 miRNAs (hsa-mir-145 and hsa-mir-141) and 6 mRNAs (ZEB1, TMEM100, MAP1B, DUSP2, JUN, and AIFM3) were found to be related to OS. Two lncRNAs (ADAMTS9-AS1 and ADAMTS9-AS2) and 4 mRNA (DUSP2, JUN, MAP1B, and TMEM100) were validated using GEPIA. Thirty key hub genes were identified using the ranking method of degree. KEGG analysis demonstrated that the majority of the DEmRNAs were involved in pathways associated with cancer. CONCLUSION: Our findings provide an understanding of the important role of lncRNA-related ceRNAs in BUC. Additional experimental and clinical validations are required to support our findings.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article