A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
Jing Zhang,
Juan Xiao,
Yixuan Wang,
Xiao Zheng,
Jiajun Cui,
Chaochen Wang
Affiliations
Jing Zhang
Zhejiang University‐University of Edinburgh Institute (ZJU‐UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University Haining China
Juan Xiao
Guangxi Key Laboratory of Molecular Medicine in Liver Injury and Repair Affiliated Hospital of Guilin Medical University China
Yixuan Wang
Zhejiang University‐University of Edinburgh Institute (ZJU‐UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University Haining China
Xiao Zheng
Zhejiang University‐University of Edinburgh Institute (ZJU‐UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University Haining China
Jiajun Cui
Zhejiang University‐University of Edinburgh Institute (ZJU‐UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University Haining China
Chaochen Wang
Zhejiang University‐University of Edinburgh Institute (ZJU‐UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University Haining China
Hepatic, biliary and pancreatic cancers are a diverse set of malignancies with poor prognoses. It is possible that common molecular mechanisms are involved in the carcinogenesis of these cancers. Here, we identified LINC01537 and seven protein‐coding genes by integrative analysis of transcriptomes of mRNAs, microRNAs and long non‐coding RNAs from cholangiocarcinoma, hepatocellular carcinoma and pancreatic adenocarcinoma cohorts in TCGA. A predictive model constructed from seven biomarkers was established to successfully predict the survival rate of patients, which was then further verified in external cohorts. Additionally, patients with high‐risk scores in our model were prone to epithelial–mesenchymal transition. Finally, activation of the biomarker PDE2A significantly attenuated migration and epithelial–mesenchymal transition in the HepG2 liver cancer cell line.
