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Investigation of the Anti-Cancer Effects of Free and PLGA-PAA Encapsulated Hydroxytyrosol on the MCF-7 Breast Cancer Cell Line

羟基酪醇 MCF-7型 乳腺癌 癌症 癌细胞 化学 癌症研究 细胞周期蛋白D1 细胞生长 药理学 癌基因 细胞 细胞周期 医学 生物化学 内科学 抗氧化剂 多酚 人体乳房
作者
Maryam Safi,Habib Onsori,Mohammad Rahmati
出处
期刊:Current Molecular Medicine [Bentham Science Publishers]
卷期号:22 (7): 657-662 被引量:11
标识
DOI:10.2174/1566524020666201231103826
摘要

Purpose: Breast cancer is the most frequent cancer among women and the most important cause of death. Surgery and chemotherapy are the common treatment of breast cancer, but increasing drug resistance has created many challenges in its treatment. The present study aimed to investigate the anti-cancer function of free and nano-encapsulated hydroxytyrosol on the MCF-7 breast cancer cell line. Methods: The poly lactide-co-glycolide-co-polyacrylic acid (PLGA-co-PAA) nanoencapsulated Hydroxytyrosol was synthesized, and the MTT assay was performed to evaluate the anti-proliferative and anti-tumor effects of both free and nano-encapsulated Hydroxytyrosol. After the extraction of RNA from the treated and control cancer cells, cDNA synthesis was performed and the expression of P21, P27, and Cyclin D1 genes was evaluated by Real-Time PCR. Results: The results of the study showed that free (12 ppm and 72 hours) and nanoencapsulate (10 ppm and 24 hours) hydroxytyrosol resulted in 50% death (IC50) of the cancer cells and increased by increasing the concentration and time. Also, free and nano-encapsulated hydroxytyrosol increased the expression of P21 and P27 genes and reduced the expression of Cyclin D1 in breast cancer cells. In general, the nanoencapsulated hydroxytyrosol showed more anticancer function than the free hydroxytyrosol. Conclusion: The present study illustrated that hydroxytyrosol could lead to cell death in MCF-7 breast cancer by regulating the cell cycle. Also, the nano-encapsulation of Hydroxytyrosol enhanced the Hydroxytyrosol anticancer function by PLGA-co-PAA. However, for more accurate results, further studies on animal models are necessary.
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