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

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 o...

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Autores principales: Zhang, Jing, Xiao, Juan, Wang, Yixuan, Zheng, Xiao, Cui, Jiajun, Wang, Chaochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623511/
https://www.ncbi.nlm.nih.gov/pubmed/36054420
http://dx.doi.org/10.1002/2211-5463.13478
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author Zhang, Jing
Xiao, Juan
Wang, Yixuan
Zheng, Xiao
Cui, Jiajun
Wang, Chaochen
author_facet Zhang, Jing
Xiao, Juan
Wang, Yixuan
Zheng, Xiao
Cui, Jiajun
Wang, Chaochen
author_sort Zhang, Jing
collection PubMed
description 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.
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spelling pubmed-96235112022-11-02 A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses Zhang, Jing Xiao, Juan Wang, Yixuan Zheng, Xiao Cui, Jiajun Wang, Chaochen FEBS Open Bio Research Articles 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. John Wiley and Sons Inc. 2022-09-23 /pmc/articles/PMC9623511/ /pubmed/36054420 http://dx.doi.org/10.1002/2211-5463.13478 Text en © 2022 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhang, Jing
Xiao, Juan
Wang, Yixuan
Zheng, Xiao
Cui, Jiajun
Wang, Chaochen
A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title_full A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title_fullStr A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title_full_unstemmed A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title_short A universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
title_sort universal co‐expression gene network and prognostic model for hepatic–biliary–pancreatic cancers identified by integrative analyses
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623511/
https://www.ncbi.nlm.nih.gov/pubmed/36054420
http://dx.doi.org/10.1002/2211-5463.13478
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