Open AccessA universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
Author(s) -
Zhang Jing,
Xiao Juan,
Wang Yixuan,
Zheng Xiao,
Cui Jiajun,
Wang Chaochen
Publication year - 2022
Publication title -
febs open bio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.718
H-Index - 31
ISSN - 2211-5463
DOI - 10.1002/2211-5463.13478
Subject(s) - transcriptome , microrna , biomarker , hepatocellular carcinoma , pancreatic cancer , cancer research , epithelial–mesenchymal transition , carcinogenesis , gene , medicine , oncology , biology , gene expression , cancer , metastasis , genetics
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.