ArticleCancer biomarkers : section A of Disease markers2018
Screening and function analysis of hub genes and pathways in hepatocellular carcinoma via bioinformatics approaches.
Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 34 citations in OpenAlex.
- The Roles of the PRDM Family in the Neuro-Motor System.Biomolecules · 2026Review
- The role of Cyclin Dependent Kinase Inhibitor 3 (Heliyon · 2024Review
- Role and mechanism ofFrontiers in pharmacology · 2024Article
- 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.Infectious agents and cancer · 2023Article
- PRDM10 directs FLCN expression in a novel disorder overlapping with Birt-Hogg-Dubé syndrome and familial lipomatosis.Human molecular genetics · 2023Article
- Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.World journal of gastroenterology · 2023Review
- Identification of Novel Hub Genes Associated with Psoriasis Using Integrated Bioinformatics Analysis.International journal of molecular sciences · 2022Article
- Study on the expression of TOP2A in hepatocellular carcinoma and its relationship with patient prognosis.Cancer cell international · 2022Article
- Identification of genes predicting unfavorable prognosis in hepatitis B virus-associated hepatocellular carcinoma.Annals of translational medicine · 2021Article
- Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.Pathology oncology research : POR · 2021Article
- Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.Frontiers in genetics · 2021Article
- Antitumor Effect of Lenvatinib Combined with Alisertib in Hepatocellular Carcinoma by Targeting the DNA Damage Pathway.BioMed research international · 2021Article
- Identification of Gene Signature as Diagnostic and Prognostic Blood Biomarker for Early Hepatocellular Carcinoma Using Integrated Cross-Species Transcriptomic and Network Analyses.Frontiers in genetics · 2021Article
- Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3.Brain : a journal of neurology · 2020Article
- Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.The Journal of international medical research · 2020Article
- Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.Experimental and therapeutic medicine · 2020Article
- BUB1 promotes proliferation of liver cancer cells by activating SMAD2 phosphorylation.Oncology letters · 2020Article
- Multifaceted Role of PRDM Proteins in Human Cancer.International journal of molecular sciences · 2020Review
- Expression of FOXM1 and Aurora-A predicts prognosis and sorafenib efficacy in patients with hepatocellular carcinoma.Cancer biomarkers : section A of Disease markers · 2020Article
- Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.Current genomics · 2019Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLiver carcinoma is a major cause of cancer-related death worldwide. Up to date, the mechanisms of liver cancerigenesis and development have not been fully understood. Multi-genes and pathways were involved in the tumorigenesis of liver cancer.
objectiveThe aim of the present study was to screen key genes and pathways in liver cancerigenesis and development by using bioinformatics methods.
methodsA dataset GSE64041 were retrieved from GEO database and the differentially expressed genes (DEGs) were screened out. Then the DEG functions were annotated by gene ontology (GO) and pathway enrichment analysis, respectively. The hub genes were further selected by protein-protein interaction (PPI) analysis. Afterwards, the mRNA and protein expressions as well as the prognostic values of the hub genes were assessed.
resultsAs a result, 208 up-regulated and 82 down-regulated genes were screened out. These DEGs were mainly enriched in cell cycle and metabolism-related pathways. Through PPI analysis, TOP2A, PRDM10, CDK1, AURKA, BUB1, PLK1, CDKN3, NCAPG, BUB1B and CCNA2 were selected as hub genes, which were all over-expressed in liver cancers relative to those in normal tissues, respectively. Among them, PLK1 and CCNA2 were suggested to be prognostic factors for liver carcinoma.
conclusionIn conclusion, the present study identified several hub genes, and cell cycle and metabolism-related pathways that may play critical roles in the tumorigenesis of liver cancer. Future validation laboratory experiments are required to confirm the results.
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