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A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses

Authors :
Jing Zhang
Juan Xiao
Yixuan Wang
Xiao Zheng
Jiajun Cui
Chaochen Wang
Source :
FEBS Open Bio, Vol 12, Iss 11, Pp 2006-2024 (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

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.

Details

Language :
English
ISSN :
22115463
Volume :
12
Issue :
11
Database :
Directory of Open Access Journals
Journal :
FEBS Open Bio
Publication Type :
Academic Journal
Accession number :
edsdoj.1b2d0532684d5fb7eda57d34a3a77c
Document Type :
article
Full Text :
https://doi.org/10.1002/2211-5463.13478