ArticleContemporary oncology (Poznan, Poland)2016
Bioinformatics analysis of the gene expression profile of hepatocellular carcinoma: preliminary results.
Article in Contemporary oncology (Poznan, Poland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Scoparone protects against acetaminophen-induced acute liver injury: Insights from In vivo experiments and RNA sequencing.Biochemistry and biophysics reports · 2026Article
- Article
- Differentially expressed and alternately spliced genes as a novel tool for genotoxicity: a computerized study in ATT-myc transgenic mice for the recognition of genotoxic and non-genotoxic chemical.Frontiers in genetics · 2025Article
- Bio-diagnostic performances of microRNAs set related to DNA damage response pathway among hepatitis C virus-associated hepatocellular carcinoma patients.Journal, genetic engineering & biotechnology · 2023Article
- Integrated analysis of the rhesus monkey liver transcriptome during development and human primary HCC AFP-related gene expression.Molecular therapy. Nucleic acids · 2021Article
- MicroRNA-122a as a non-invasive biomarker for HCV genotype 4-related hepatocellular carcinoma in Egyptian patients.Archives of medical science : AMS · 2019Article
- Development of a computational promoter with highly efficient expression in tumors.BMC cancer · 2018Article
- From big data to diagnosis and prognosis: gene expression signatures in liver hepatocellular carcinoma.PeerJ · 2017Article
- Transcatheter arterial chemoembolisation (TACE) plus S-1 for the treatment of BCLC stage B hepatocellular carcinoma refractory to TACE.Contemporary oncology (Poznan, Poland) · 2016Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aim of the studyTo analyse the expression profile of hepatocellular carcinoma compared with normal liver by using bioinformatics methods. MATERIAL AND
methodsIn this study, we analysed the microarray expression data of HCC and adjacent normal liver samples from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes. Then, functional analyses were performed using GenCLiP analysis, Gene Ontology categories, and aberrant pathway identification. In addition, we used the CMap database to identify small molecules that can induce HCC.
resultsOverall, 2721 differentially expressed genes (DEGs) were identified. We found 180 metastasis-related genes and constructed co-occurrence networks. Several significant pathways, including the transforming growth factor β (TGF-β) signalling pathway, were identified as closely related to these DEGs. Some candidate small molecules (such as betahistine) were identified that might provide a basis for developing HCC treatments in the future.
conclusionsAlthough we functionally analysed the differences in the gene expression profiles of HCC and normal liver tissues, our study is essentially preliminary, and it may be premature to apply our results to clinical trials. Further research and experimental testing are required in future studies.
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