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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9623511 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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