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(‑)‑Epigallocatechin‑3‑gallate (EGCG), a major constituent of green tea, is a potential anticancer agent, but the molecular mechanisms of its effects are not well‑understood. The present study was conducted to examine the mechanism of EGCG in lung cancer cells. Alterations in long non‑coding RNAs (lncRNAs) and mRNAs were investigated in lung cancer cells treated with EGCG by lncRNA microarray analysis. Furthermore, the functions and signaling pathways regulated by EGCG were predicted by bioinformatics analysis. A total of 960 lncRNAs and 1,434 mRNAs were significantly altered following EGCG treatment. These lncRNAs were distributed across nearly all human chromosomes and the mRNAs were involved in the cell cycle and the mitotic cell cycle process. Through a combination of microarray and bioinformatics analysis, 20 mRNAs predicted to serve a key role in the EGCG regulation were identified, and certain regulatory networks involving EGCG‑regulated lncRNAs were predicted. In conclusion, EGCG affects the expression of various lncRNAs and mRNAs in the cells, therefore affecting cell functions. The results of the present study provide an insight into the mechanism of EGCG, which may be useful for therapeutic development.
Pubmed ID: 30628683
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Statistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
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View all literature mentionsCell line NCI-H460 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsCell line A-549 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsCell line A-549 is a Cancer cell line with a species of origin Homo sapiens (Human)
View all literature mentionsCell line NCI-H460 is a Cancer cell line with a species of origin Homo sapiens (Human)
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