In Vitro Analysis of Cytotoxic Activities of Targeting / Genes in Breast Cancer Cells.

Plants (Basel)

Department of Oriental Medicine Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Republic of Korea.

Published: March 2023

Breast cancer (BC) is known to be the most common malignancy among women throughout the world. Plant-derived natural products have been recognized as a great source of anticancer drugs. In this study, the efficacy and anticancer potential of the methanolic extract of leaves using human breast cancer cells targeting / signaling was evaluated. We used methanolic and other (chloroform, ethyl acetate, butanol, and aqueous) extracts to discover their potential cytotoxicity on breast cancer cells (MCF-7). Among these, the methanol showed significant activity in the inhibition of the proliferation of cancer cells because of the presence of bioactive compounds, including phenols and flavonoids, detected by a Fourier transform infrared spectrophotometer and by gas chromatography mass spectrometry. The cytotoxic effect of the plant extract on the MCF-7 cells was examined by MTT and acid phosphatase assays. Real-time PCR analysis was performed to measure the mRNA expression of and , along with and in MCF-7 cells. The IC50 value of the extract was found to be 232 μg/mL and 173 μg/mL in the MTT and acid phosphatase assays, respectively. Dose selection (100 and 300 μg/mL) was performed for real-time PCR, Annexin V/PI analysis, and Western blotting using Doxorubicin as a positive control. The extract at 100 μg/mL significantly upregulated caspases and downregulated the and gene in MCF-7 cells. Western blot analysis further confirmed the dysregulations of the signaling component (*** 0.0001). The results showed an increase in the number of dead cells in methanolic extract-treated cells in the Annexin V/PI analysis. Our study concludes that may serve as an effective anticancer mediator through gene modulation that targets / signaling, and it can be further characterized using more powerful experimental and computational tools.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005423PMC
http://dx.doi.org/10.3390/plants12051147DOI Listing

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