ArticleFEBS open bio2022
A universal co-expression gene network and prognostic model for hepatic-biliary-pancreatic cancers identified by integrative analyses.
Article in FEBS open bio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Metabolic profiling of the TME uncovers the contrasting impacts of CKMT2 and PDE2A in CRC progression and therapeutic response.Frontiers in pharmacology · 2026Article
- DNA methylation-mediated ADA overexpression drives pancreatic cancer progression.Discover oncology · 2025Article
- Disulfidptosis as a key regulator of glioblastoma progression and immune cell impairment.Frontiers in immunology · 2025Article
- The bioinformatics analysis and experimental validation of the carcinogenic role of EXO1 in lung adenocarcinoma.Frontiers in oncology · 2024Article
- Anoikis resistance regulates immune infiltration and drug sensitivity in clear-cell renal cell carcinoma: insights from multi omics, single cell analysis andFrontiers in immunology · 2024Article
- Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma.Frontiers in immunology · 2024Article
- Editorial: Biomarkers and immunotherapy of hepatic-biliary-pancreatic cancers.Frontiers in oncology · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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