Journal of Reports in Pharmaceutical Sciences
The Effect of Ibuprofen on Expression of Cox-1/2-Related miRNAs in MKN- 45 -Derived Cancer Stem-Like Cells
Abstract
Context: Ibuprofen is an anti-inflammatory drug that non-selectively blocks cyclooxygenases-1/2 (COX-1/2) enzymes and thus reduces the risk tumorigenesis. This study was designed to detect microRNAs (miRNAs) that target Cox-1/2 mRNA and to investigate the effect of ibuprofen on the expression of the miRNAs in MKN-45-derived gastric cancer stem-like cells (CSLCs). We were also aimed to find signaling pathways modulated by the miRNAs.
Subjects and Methods: The miRWalk database was used to recognize miRNAs that targeted Cox-1/2 genes. CSLCs were derived from MKN-45 cell line and were then treated with ibuprofen. Consequently, the effect of ibuprofen was evaluated on the expression of the miRNAs by quantitative real-time polymerase chain reaction (qRT-PCR). Finally, DIANA tools were used to identify signaling pathways that modulated by the miRNAs.
Results: Our bioinformatic investigation showed that hsa-mir-16-5p, hsa-mir-483- 5p, and hsa-mir-4669 targeted both Cox-1 and Cox-2 mRNAs. The qRT-PCR results indicated that hsa-mir-16-5p and hsa-mir-4669 were overexpressed 2.34 and 9.47 folds, respectively, while hsamir- 483-5p under-expressed (2.08 folds) in ibuprofen-treated CSLCs relative to untreated cells. Moreover, it found that these miRNAs are involved in PI3K-Akt, P53, transforming growth factorbeta, phosphatidylinositol and insulin signaling pathways, cell cycle, extracellular matrix receptor interaction, gap junction, small cell lung cancer, prostate cancer, and chronic myeloid leukemia.
Conclusions: We suggest that ibuprofen may reduce the risk of gastric cancer by affecting the expression of miRNAs that target Cox-1/2. however, further research is necessary to unravel its exact effects.
Copyright
© 2019, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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