Construction of a Competitive Endogenous RNA Network for Pancreatic Adenocarcinoma Based on Weighted Gene Co-expression Network Analysis and a Prognosis Model

摘要: Pancreatic adenocarcinoma (PAAD) is a pancreatic disease with considerable mortality worldwide. Because of lack obvious symptoms at the early stage, most PAAD patients are diagnosed terminal stage and prognosis usually poor. In this study, we firstly obtained RNA sequencing data 181 from The Cancer Genome Atlas (TCGA) database to identify diagnostic biomarkers for PAAD. Survival-related mRNAs were identified using weighted gene co-expression network analysis (WGCNA), then linear prognostic model seven long non-coding RNAs (lncRNAs) was established univariate multivariate Cox proportional hazards regression analyses, which verified time-dependent receiver operating characteristic (ROC) curve analysis. Finally, according survival analysis, constructed survival-related competing endogenous (ceRNA) network. Our results showed that: (1) upregulated genes related cell cycle-related pathway (including homologous recombination, DNA replication mismatch repair) in can increase proliferation ability cancer cells; (2) 7-lncRNA signature predict overall (OS) patients; (3) key lncRNAs involved mutual regulation ceRNA