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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.
Afiliación
  • Zhang J; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, China.
  • Xiao J; Guangxi Key Laboratory of Molecular Medicine in Liver Injury and Repair, Affiliated Hospital of Guilin Medical University, China.
  • Wang Y; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, China.
  • Zheng X; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, China.
  • Cui J; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, China.
  • Wang C; Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, Haining, China.
FEBS Open Bio ; 12(11): 2006-2024, 2022 11.
Article en En | MEDLINE | ID: mdl-36054420
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Adenocarcinoma / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: FEBS Open Bio Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Adenocarcinoma / Neoplasias Hepáticas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: FEBS Open Bio Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido