ArticleWorld journal of surgical oncology2019
Analysis of potential key genes in very early hepatocellular carcinoma.
Article in World journal of surgical oncology, 2019. 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, 41 citations in OpenAlex.
- Key hub genes and pathways associated with HCV-related hepatocellular carcinoma as potential diagnostic biomarkers.Journal, genetic engineering & biotechnology · 2026Article
- Bioinformatics-based identification of key genes for Olaparib resistance in breast cancer: prognostic implications and therapeutic relevance.Discover oncology · 2025Article
- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
- Proteo-genomic characterization of cirrhosis-associated liver cancers reveals potential subtypes and therapeutic targets.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Article
- Gene expression profile analysis of severe influenza-based modulation of idiopathic pulmonary fibrosis.European journal of medical research · 2024Article
- The role of Cyclin Dependent Kinase Inhibitor 3 (Heliyon · 2024Review
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- OGG1 contributes to hepatocellular carcinoma by promoting cell cycle-related protein expression and enhancing DNA oxidative damage repair in tumor cells.Journal of clinical laboratory analysis · 2022Article
- A pyroptosis-related gene signature predicts prognosis and immune microenvironment in hepatocellular carcinoma.World journal of surgical oncology · 2022Article
- Cytokinesis regulators as potential diagnostic and therapeutic biomarkers for human hepatocellular carcinoma.Experimental biology and medicine (Maywood, N.J.) · 2021Review
- Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach.International journal of environmental research and public health · 2021Article
- Role of Stress-Survival Pathways and Transcriptomic Alterations in Progression of Colorectal Cancer: A Health Disparities Perspective.International journal of environmental research and public health · 2021Review
- Human nuclear receptors (NRs) genes have prognostic significance in hepatocellular carcinoma patients.World journal of surgical oncology · 2021Article
- Development and Validation of a Metabolic-related Prognostic Model for Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2021Article
- Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma.BioMed research international · 2021Article
- CCNB2, CDC20, AURKA, TOP2A, MELK, NCAPG, KIF20A, UBE2C, PRC1, and ASPM May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.International journal of general medicine · 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
- Article
- CDK1, CCNB1, and CCNB2 are Prognostic Biomarkers and Correlated with Immune Infiltration in Hepatocellular Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment.International journal of environmental research and public health · 2020Article
Corrections and comments
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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
backgroundHepatocellular carcinoma (HCC) is the major pathological type of primary liver cancer, one of the leading causes of cancer death worldwide. In addition, the long-term survival rates of HCC still remain low. Therefore, we attempted to identify the potential key genes in the occurrence of HCC by comparing the expression profiles of very early HCC tissue samples with that of chronic cirrhotic tissue samples by integrating the bioinformatics analysis in this study.
methodsGene expression profiles of 19 very early HCC and 19 cirrhotic tissue samples were selected from GSE63898. Differentially expressed genes (DEGs) were also identified by using online tool GEO2R. Furthermore, the GO and KEGG enrichment analysis of the DGEs were conducted on DAVID datasets. Then a protein-protein interaction (PPI) network was constructed and the modules were analyzed based on STRING database and Cytoscape software. The hub genes were screened by applying the cytoHubba plugin and then analyzed with the Kaplan Meier plotter.
resultsA total of 118 DEGs were identified between very early HCC and cirrhotic tissue samples. These DGEs were strongly associated with several biological processes, such as negative regulation of growth and p53 signaling pathway. A PPI network was constructed and top eight hub genes, including CDKN3, CDK1, CCNB1, TOP2A, CCNA2, CCNB2, PRC1, and RRM2, were determined. High expressions of CDK1, CCNB1, TOP2A, CCNA2, PRC1, RRM2, CDKN3, and CCNB2 were associated with poorer overall survivals (OS) in HCC patients.
conclusionWe had compared the expression profiles between the very early HCC and cirrhotic tissue samples by using bioinformatics analysis tools, which might help us better to understand the molecular mechanism of the initiation of HCC and even to find novel targets for HCC therapy.
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