1. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma
    Liang Sang et al, 2018, World Journal of Gastroenterology CrossRef
  2. Prognostic genes of hepatocellular carcinoma based on gene coexpression network analysis
    Baojin Xu et al, 2019, Journal of Cellular Biochemistry CrossRef
  3. Identification of hub genes and candidate drugs in hepatocellular carcinoma by integrated bioinformatics analysis
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  4. Six genes involved in prognosis of hepatocellular carcinoma identified by Cox hazard regression
    Qinghong Dai et al, 2021, BMC Bioinformatics CrossRef
  5. Identification of cell cycle-associated and -unassociated regulators for expression of a hepatocellular carcinoma oncogene cyclin-dependent kinase inhibitor 3
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  6. CDKN3 expression predicates poor prognosis and regulates adriamycin sensitivity in hepatocellular carcinoma in vitro
    Wei Dai et al, 2020, Journal of International Medical Research CrossRef
  7. Identification of key genes and carcinogenic pathways in hepatitis B virus-associated hepatocellular carcinoma through bioinformatics analysis
    Sang-Hoon Kim et al, 2022, Annals of Hepato-Biliary-Pancreatic Surgery CrossRef
  8. Identifying Key Genes of Liver Cancer by Networking of Multiple Data Sets
    Su-Ping Deng et al, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics CrossRef
  9. Cyclin dependent kinase inhibitor 3 (CDKN3) upregulation is associated with unfavorable prognosis in clear cell renal cell carcinoma and shapes tumor immune microenvironment: A bioinformatics analysis
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  10. Identification of Hub Genes Associated With Immune Infiltration and Predict Prognosis in Hepatocellular Carcinoma via Bioinformatics Approaches
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  11. Tumor-suppressive effects of microRNA-181d-5p on non-small-cell lung cancer through the CDKN3-mediated Akt signaling pathway in vivo and in vitro
    Li-Ming Gao et al, 2019, American Journal of Physiology-Lung Cellular and Molecular Physiology CrossRef
  12. Identification of key genes and pathways in hepatocellular carcinoma
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  13. A systematic study on the treatment of hepatitis B-related hepatocellular carcinoma with drugs based on bioinformatics and key target reverse network pharmacology and experimental verification
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  14. The role of Cyclin Dependent Kinase Inhibitor 3 (CDKN3) in promoting human tumors: Literature review and pan-cancer analysis
    Chuanlong Zhang et al, 2024, Heliyon CrossRef
  15. CDKN3 promotes cell proliferation, invasion and migration by activating the AKT signaling pathway in esophageal squamous cell carcinoma
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  16. Identification of Potential Key Genes for Hepatitis B Virus-Associated Hepatocellular Carcinoma by Bioinformatics Analysis
    Zide Chen et al, 2019, Journal of Computational Biology CrossRef
  17. Transcriptome analysis of neratinib treated HER2 positive cancer model vs untreated cancer unravels the molecular mechanism of action of neratinib
    Sara Alkhezayem et al, 2020, Saudi Pharmaceutical Journal CrossRef
  18. Olmutinib Reverses Thioacetamide-Induced Cell Cycle Gene Alterations in Mice Liver and Kidney Tissues, While Wheat Germ Treatment Exhibits Limited Efficacy at Gene Level
    Seema Zargar et al, 2024, Medicina CrossRef
  19. Predict New Therapeutic Drugs for Hepatocellular Carcinoma Based on Gene Mutation and Expression
    Liang Yu et al, 2020, Frontiers in Bioengineering and Biotechnology CrossRef
  20. Comprehensive Analysis Reveals the Potential Roles of CDKN3 in Pancancer and Verification in Endometrial Cancer
    Chao Gao et al, 2023, International Journal of General Medicine CrossRef
  21. Identification of Drug Targets and Agents Associated with Hepatocellular Carcinoma through Integrated Bioinformatics Analysis
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