ArticleOxidative medicine and cellular longevity2018
The Identification of Core Gene Expression Signature in Hepatocellular Carcinoma.
Article in Oxidative medicine and cellular longevity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 68 citations in OpenAlex.
- The antineoplastic effects of nuciferine on hepatocellular carcinoma are associated with suppression of the HER2-AKT/ERK1/2 signaling pathway.Discover oncology · 2025Article
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- Roles of organic anion transporting polypeptides in hepatocellular carcinoma.Frontiers in genetics · 2025Article
- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
- Identification and evaluation of plasma exosome RNA biomarkers for non-invasive diagnosis of hepatocellular carcinoma using RNA-seq.BMC cancer · 2024Article
- NUSAP1 promotes pancreatic ductal adenocarcinoma progression by drives the epithelial-mesenchymal transition and reduces AMPK phosphorylation.BMC cancer · 2024Article
- CCNB1 is a novel prognostic biomarker and promotes proliferation, migration and invasion in Wilms tumor.BMC medical genomics · 2023Article
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- Identification of glutamyl-prolyl-tRNA synthetase as a new therapeutic target in hepatocellular carcinoma via a novel bioinformatic approach.Journal of gastrointestinal oncology · 2023Article
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- Construction and Analysis of Hepatocellular Carcinoma Prognostic Model Based on Random Forest.Canadian journal of gastroenterology & hepatology · 2023Article
- In Silico and In Vivo Evaluation of microRNA-181c-5p's Role in Hepatocellular Carcinoma.Genes · 2022Article
- Custom gene expression panel for evaluation of potential molecular markers in hepatocellular carcinoma.BMC medical genomics · 2022Article
- Associating Preoperative MRI Features and Gene Expression Signatures of Early-stage Hepatocellular Carcinoma Patients using Machine Learning.Journal of clinical and translational hepatology · 2022Article
- Article
- Identification of Differentially Expressed Genes and Pathways in Human Atrial Fibrillation by Bioinformatics Analysis.International journal of general medicine · 2022Article
- TOP2A inhibition reverses drug resistance of hepatocellular carcinoma to regorafenib.American journal of cancer research · 2022Article
- Article
- Expression and prognostic significance of thrombospondin gene family in gastric cancer.Journal of gastrointestinal oncology · 2021Article
- Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.BioMed research international · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignancies, which causes serious financial burden worldwide. This study aims to investigate the potential mechanisms contributing to HCC and identify core biomarkers. The HCC gene expression profile GSE41804 was picked out to analyze the differentially expressed genes (DEGs). Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out using DAVID. We constructed a protein-protein interaction (PPI) network to visualize interactions of the DEGs. The survival analysis of these hub genes was conducted to evaluate their potential effects on HCC. In this analysis, 503 DEGs were captured (360 downregulated genes and 143 upregulated genes). Meanwhile, 15 hub genes were identified. GO analysis showed that the DEGs were mainly enriched in oxidative stress, cell cycle, and extracellular structure. KEGG analysis suggested the DEGs were enriched in the absorption, metabolism, and cell cycle pathway. PPI network disclosed that the top3 modules were mainly enriched in cell cycle, oxidative stress, and liver detoxification. In conclusion, our analysis uncovered that the alterations of oxidative stress and cell cycle are two major signatures of HCC. TOP2A, CCNB1, and KIF4A might promote the development of HCC, especially in proliferation and differentiation, which could be novel biomarkers and targets for diagnosis and treatment of HCC.
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