Abstract:
:The carcinogenicity of chemicals in the environment is a major concern. Recently, numerous studies have attempted to develop methods for predicting carcinogenicity, including rodent and cell-based approaches. However, rodent carcinogenicity tests for evaluating the carcinogenic potential of a chemical to humans are time-consuming and costly. This study focused on the development of an alternative method for predicting carcinogenicity using quantitative PCR (qPCR) and colon cancer stem cells. A toxicogenomic method, mRNA profiling, is useful for predicting carcinogenicity. Using microarray analysis, we optimized 16 predictive gene sets from five carcinogens (azoxymethane, 3,2'-dimethyl-4-aminobiphenyl, N-ethyl-n-nitrosourea, metronidazole, 4-(n-methyl-n-nitrosamino)-1-(3-pyridyl)-1-butanone) used to treat colon cancer stem cell samples. The 16 genes were evaluated by qPCR using 23 positive and negative carcinogens in colon cancer stem cells. Among them, six genes could differentiate between positive and negative carcinogens with a p-value of < or =0.05. Our qPCR-based prediction system for colon carcinogenesis using colon cancer stem cells is cost- and time-efficient. Thus, this qPCR-based prediction system is an alternative to in vivo carcinogenicity screening assays.
journal_name
J Microbiol Biotechnoljournal_title
Journal of microbiology and biotechnologyauthors
Bak Y,Jang HJ,Shin JW,Kim SJ,Chun HW,Seo JH,No SH,Chae JI,Son DH,Lee SY,Hong J,Yoon DYdoi
10.4014/jmb.1712.12043subject
Has Abstractpub_date
2018-04-28 00:00:00pages
645-651issue
4eissn
1017-7825issn
1738-8872pii
10.4014/jmb.1712.12043journal_volume
28pub_type
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