ArticlePloS one2021
Gene expression profiles of liver cancer cell lines reveal two hepatocyte-like and fibroblast-like clusters.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- HCC-derived SNU cell lines as model systems to study HBV life cycle.Journal of virology · 2025Article
- Inhibition of the Caveolin-1 pathway promotes apoptosis and overcomes pan-tyrosine kinase inhibitor resistance in hepatocellular carcinoma.Cell death & disease · 2025Article
- Azvudine Suppresses Epithelial-Mesenchymal Transition in Hepatocellular Carcinoma by Targeting the Notch-HEY Signalling Pathway.International journal of molecular sciences · 2025Article
- Geometrically constrained cytoskeletal reorganisation modulates DNA nanostructures uptake.Journal of materials chemistry. B · 2025Article
- Peptide-coated DNA nanostructures as a platform for control of lysosomal function in cells.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2024Article
- Preclinical Models of Hepatocellular Carcinoma: Current Utility, Limitations, and Challenges.Biomedicines · 2024Review
- Iron oxide nanoparticles trigger endoplasmic reticulum damage in steatotic hepatic cells.Nanoscale advances · 2023Article
- VEGF-mediated tumour growth and EMT in 2D and 3D cell culture models of hepatocellular carcinoma.Oncology letters · 2022Article
- Analyzing the metabolic fate of oral administration drugs: A review and state-of-the-art roadmap.Frontiers in pharmacology · 2022Review
- Expression and Functionality of Connexin-Based Channels in Human Liver Cancer Cell Lines.International journal of molecular sciences · 2021Article
- Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cell lines are widely used in basic research to study cancer development, growth, invasion, or metastasis. They are also used for the development and screening of anticancer drugs. However, there are no clear criteria for choosing the most suitable cell lines among the wide variety of cancer cell lines commercially available for research, and the choice is often based on previously published reports. Here, we investigated the characteristics of liver cancer cell lines by analyzing the gene expression data available in the Cancer Cell Line Encyclopedia. Unsupervised clustering analysis of 28 liver cancer cell lines yielded two main clusters. One cluster showed a gene expression pattern similar to that of hepatocytes, and the other showed a pattern similar to that of fibroblasts. Analysis of hepatocellular carcinoma gene expression profiles available in The Cancer Genome Atlas showed that the gene expression patterns in most hepatoma tissues were similar to those in the hepatocyte-like cluster. With respect to liver cancer research, our findings may be useful for selecting an appropriate cell line for a specific study objective. Furthermore, our approach of utilizing a public database for comparing the properties of cell lines could be an attractive cell line selection strategy that can be applied to other fields of research.
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