Journal of microbiology and biotechnology 2018 03 15() doi 10.4014/jmb.1712.12043
The carcinogenicity of chemicalsin 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,-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-value of < or =0.05.Our qPCR based prediction system for colon carcinogenesis using colon cancer stem cellsis cost- and time-efficient. Thus, this qPCR-based prediction system is an alternative tocarcinogenicity screening assays.