Division of Hepato-Biliary-Pancreatic and Transplant Surgery, Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Department of Pharmacology, Yamaguchi University Graduate School of Medicine, Ube, Japan.
PLoS One. 2021 Feb 4;16(2):e0245939. doi: 10.1371/journal.pone.0245939. eCollection 2021.
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.
癌细胞系广泛应用于癌症发展、生长、侵袭或转移等基础研究中,也用于抗癌药物的开发和筛选。然而,在商业上可用于研究的众多癌细胞系中,没有明确的标准来选择最合适的细胞系,选择往往基于之前发表的报告。在这里,我们通过分析癌症细胞系百科全书(Cancer Cell Line Encyclopedia)中可用的基因表达数据来研究肝癌细胞系的特征。对 28 种肝癌细胞系的无监督聚类分析产生了两个主要簇。一个簇显示出与肝细胞相似的基因表达模式,另一个簇显示出与成纤维细胞相似的模式。对癌症基因组图谱(The Cancer Genome Atlas)中可用的肝细胞癌基因表达谱进行分析表明,大多数肝癌组织的基因表达模式与肝细胞样簇相似。就肝癌研究而言,我们的发现可能有助于为特定的研究目标选择合适的细胞系。此外,我们利用公共数据库比较细胞系特性的方法可能是一种有吸引力的细胞系选择策略,可应用于其他研究领域。