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Alternative Carcinogenicity Screening Assay Using Colon Cancer Stem Cells: A Quantitative PCR (qPCR)-Based Prediction System for Colon Carcinogenesis

  • Bak, Yesol (Department of Bioscience and Biotechnology, Konkuk University) ;
  • Jang, Hui-Joo (Department of Bioscience and Biotechnology, Konkuk University) ;
  • Shin, Jong-Woon (Department of Bioscience and Biotechnology, Konkuk University) ;
  • Kim, Soo-Jin (Department of Bioscience and Biotechnology, Konkuk University) ;
  • Chun, Hyun woo (Department of Bioscience and Biotechnology, Konkuk University) ;
  • Seo, Ji-Hye (Department of Dental Pharmacology, School of Dentistry and Institute of Oral Bioscience, BK21 Plus, Chonbuk National University) ;
  • No, Su-Hyun (Department of Dental Pharmacology, School of Dentistry and Institute of Oral Bioscience, BK21 Plus, Chonbuk National University) ;
  • Chae, Jung-il (Department of Dental Pharmacology, School of Dentistry and Institute of Oral Bioscience, BK21 Plus, Chonbuk National University) ;
  • Son, Dong Hee (Department of Applied Statistics, College of Natural Sciences, Sejong University) ;
  • Lee, Seung Yeoun (Department of Applied Statistics, College of Natural Sciences, Sejong University) ;
  • Hong, Jintae (College of Pharmacy and Medical Research Center, Chungbuk National University) ;
  • Yoon, Do-Young (Department of Bioscience and Biotechnology, Konkuk University)
  • Received : 2017.12.21
  • Accepted : 2018.02.18
  • Published : 2018.04.28

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 ${\leq}0.05$. 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.

Keywords

References

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