Potential anti-proliferative activity of Salix mucronata and Triticum spelta plant extracts on liver and colorectal cancer cell lines

Abstract

AbstractCancer’s etiology is linked to oxidative stress. As a result, it's vital to find effective natural antioxidant remedies. Salix mucronata and Triticum spelta plant extracts were prepared using five different solvents and examined for their cytotoxicity against liver HepG2 cancer cell line. It was found that Salix mucronata ethanolic extract is high in antioxidant mediated anti-cancer activity. The functional constituents (phenolic and flavonoids) as well as preparation of different ethanolic concentrations used to study their properties that include DPPH, oxygen, hydroxyl, nitrogen radical scavenging activities, ferric reducing power and metal chelating activities. The MTT assay was used to determine antioxidant-mediated anti-cancer activity against human liver (HepG2) and colorectal (Caco-2) cancer cells to calculate the half-maximal growth inhibitory concentration (IC50). Moreover, flow cytometry analysis was used to quantify the apoptotic effect on the treated cancer cells. Additionally, qRTPCR of p53, BCL2, Cyclin D, MMP9 and VEGF were measured. Furthermore, HPLC was used to assess the most effective ingredients of the plant extract. Salix mucronata 50% ethanol extract had the highest polyphenolic content, anti-oxidant, and anti-proliferative activity. Salix mucronata increased the number of total apoptotic cells, and caused an upregulation of p53 gene expression by more than five folds and a downregulation of gene expression level of BCL2, Cyclin D, MMP9 and VEGF by more than five folds. Consequently, that could modulate oxidative stress and improve the effectiveness of cancer therapy. Results, also, showed that Triticum spelta ethanolic extract was less effective than Salix mucronata. Therefore, Salix mucronata ethanolic extract represents promising surrogate natural therapy for apoptosis-mediated cancer and recommended for further investigation using animal model.