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

Journal of microbiology and biotechnology, v.28 no.4, 2018년, pp.645 - 651  

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,)

Abstract AI-Helper 아이콘AI-Helper

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 chemic...

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문제 정의

  • The purpose of this study was to identify commonalities in gene expression alterations induced by genotoxic carcinogens (GCs) with similar modes of action. To determine the optimal concentrations of chemicals including GCs and non-carcinogens (NCs) for colon cancer cells, we selected concentrations based on 1/10 of the concentrations used in mice.
  • However, these arrays require specialized equipment and highly skilled bioinformatics approaches, limiting the evaluation of carcinogenicity test results. In this study, we evaluated GC biomarkers by qPCR, which is a cost-effective approach. Cumulative exposure of human and mouse cells to carcinogens leads to the progression of cellular carcinogenesis and causes distinct genetic changes [14, 16-18].
  • They clearly differentiated GCs and NCs in distinct cellular signaling pathways. This study presents a unique approach for determining colon cancer carcinogenesis using new GC biomarkers. These measurable biomarkers can be used as new endpoints for detecting carcinogenesis.
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참고문헌 (22)

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  2. Kakarala M, Wicha MS. 2008. Implications of the cancer stem-cell hypothesis for breast cancer prevention and therapy. J. Clin. Oncol. 26: 2813-2820. 

  3. Gusenleitner D, Auerbach SS, Melia T, Gomez HF, Sherr DH, Monti S. 2014. Genomic models of short-term exposure accurately predict long-term chemical carcinogenicity and identify putative mechanisms of action. PLoS One 9: e102579. 

  4. Hartung T. 2009. Toxicology for the twenty-first century. Nature 460: 208-212. 

  5. Knight A, Bailey J, Balcombe J. 2006. Animal carcinogenicity studies: implications for the REACH system. Altern. Lab. Anim. 34 Suppl 1: 139-147. 

  6. Caiment F, Tsamou M, Jennen D, Kleinjans J. 2014. Assessing compound carcinogenicity in vitro using connectivity mapping. Carcinogenesis 35: 201-207. 

  7. Fielden MR, Adai A, Dunn RT 2nd, Olaharski A, Searfoss G, Sina J, et al. 2011. Development and evaluation of a genomic signature for the prediction and mechanistic assessment of nongenotoxic hepatocarcinogens in the rat. Toxicol. Sci. 124: 54-74. 

  8. Matsumoto H, Yakabe Y, Saito K, Sumida K, Sekijima M, Nakayama K, et al. 2009. Discrimination of carcinogens by hepatic transcript profiling in rats following 28-day administration. Cancer Inform. 7: 253-269. 

  9. Dontu G, Abdallah WM, Foley JM, Jackson KW, Clarke MF, Kawamura MJ, et al. 2003. In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells. Genes Dev. 17: 1253-1270. 

  10. Bak Y, Kwon T, Bak IS, Hong J, Yu DY, Yoon DY. 2016. IL-32theta inhibits stemness and epithelial-mesenchymal transition of cancer stem cells via the STAT3 pathway in colon cancer. Oncotarget 7: 7307-7317. 

  11. Ham SY, Kwon T, Bak Y, Yu JH, Hong J, Lee SK, et al. 2016. Mucin 1-mediated chemo-resistance in lung cancer cells. Oncogenesis 5: e185. 

  12. Kwon T, Bak Y, Park YH, Jang GB, Nam JS, Yoo JE, et al. 2016. Peroxiredoxin II is essential for maintaining stemness by redox regulation in liver cancer cells. Stem Cells 34: 1188-1197. 

  13. Reddig PJ, Juliano RL. 2005. Clinging to life: cell to matrix adhesion and cell survival. Cancer Metastasis Rev. 24: 425-439. 

  14. Rathore K, Wang HC. 2013. Mesenchymal and stem-like cell properties targeted in suppression of chronically-induced breast cell carcinogenesis. Cancer Lett. 333: 113-123. 

  15. Waters MD, Jackson M, Lea I. 2010. Characterizing and predicting carcinogenicity and mode of action using conventional and toxicogenomics methods. Mutat. Res. 705: 184-200. 

  16. Khoury L, Zalko D, Audebert M. 2016. Evaluation of four human cell lines with distinct biotransformation properties for genotoxic screening. Mutagenesis 31: 83-96. 

  17. Rieswijk L, Brauers KJ, Coonen ML, Jennen DG, van Breda SG, Kleinjans JC. 2016. Exploiting microRNA and mRNA profiles generated in vitro from carcinogen-exposed primary mouse hepatocytes for predicting in vivo genotoxicity and carcinogenicity. Mutagenesis 31: 603-615. 

  18. Schaap MM, Wackers PF, Zwart EP, Huijskens I, Jonker MJ, Hendriks G, et al. 2015. A novel toxicogenomics-based approach to categorize (non-)genotoxic carcinogens. Arch. Toxicol. 89: 2413-2427. 

  19. Liu CC, Tseng YT, Li W, Wu CY, Mayzus I, Rzhetsky A, et al. 2014. DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections. Nucleic Acids Res. 42: W137-W146. 

  20. Persani L, Beck-Peccoz P, Quatrini M, Bassetti M, Travella B, Bianchi P, et al. 1991. Patterns of gastrin secretion in patients with nonfunctioning pituitary adenomas. J. Endocrinol. Invest. 14: 861-865. 

  21. Syed V, Zhang X, Lau KM, Cheng R, Mukherjee K, Ho SM. 2005. Profiling estrogen-regulated gene expression changes in normal and malignant human ovarian surface epithelial cells. Oncogene 24: 8128-8143. 

  22. Mithani SK, Smith IM, Califano JA. 2011. Use of integrative epigenetic and cytogenetic analyses to identify novel tumor-suppressor genes in malignant melanoma. Melanoma Res. 21: 298-307. 

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