Gene expression profiles of liver cancer cell lines reveal two hepatocyte-like and fibroblast-like clusters

Author:

Fukuyama KeitaORCID,Asagiri Masataka,Sugimoto MasahiroORCID,Tsushima HirakiORCID,Seo Satoru,Taura Kojiro,Uemoto Shinji,Iwaisako KeikoORCID

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.

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. Hepatocellular carcinoma: current trends in worldwide epidemiology, risk factors, diagnosis, and therapeutics;R Dhanasekaran;Hepat Med,2012

2. Eradication of hepatitis C virus infection and the development of hepatocellular carcinoma: a meta-analysis of observational studies;RL Morgan;Ann Intern Med,2013

3. Global epidemiology of hepatocellular carcinoma: an emphasis on demographic and regional variability;KA McGlynn;Clin Liver Dis,2015

4. Cancer cell lines for drug discovery and development;JL Wilding;Cancer Res,2014

5. Trends in the risks and benefits to patients with cancer participating in phase 1 clinical trials;TG Roberts;JAMA,2004

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3