To investigate resveratrol, one of the food derived polyphenols that might be partially responsible for the beneficial effect on cancer, the in vitro antitumor activity of resveratrol against pancreatic cancer cell lines (PANC-1, BxPC-3 and AsPC-1) was examined, together with the mechanisms involved. The effects of resveratrol on the growth inhibition, apoptosis and cell cycle were assayed. The activity of caspases and the expression of Bcl-2, Bcl-xL, XIAP and Bax protein were detected. The results showed that resveratrol inhibited the proliferation of pancreatic cancer cells in a dose- and time-dependent manner. Resveratrol inhibited the cell growth of PANC-1, BxPC-3 and AsPC-1 cells with IC(50) values of 78.3 ± 9.6 μmol/L, 76.1 ± 7.8 μmol/L and 123.1 ± 6.5 μmol/L at 48 h, respectively. Incubation of pancreatic cancer cells with resveratrol resulted in cell apoptosis and cell cycle arrests. Resveratrol induced activation of caspases. Simultaneously, resveratrol regulated the expression of the antiapoptotic proteins Bcl-2, Bcl-xL and XIAP and the proapoptotic protein Bax. PANC-1 and BxPC-3 cells were more chemosensitive to resveratrol than AsPC-1 cells. In conclusion, resveratrol inhibited the proliferation of pancreatic cancer cells by inducing apoptotic cell death. There was different sensitivity to resveratrol in different pancreatic cancer cell lines.

Background Previous studies have shown that miR-21 upregulation is related to the aggressive development of cervical cancer. Ultrasound-targeted microbubble destruction (UTMD) is a method that increases the absorption of targeted genes or drugs by cells. We focus on the role of UTMD-mediated miR-21 transfection in HeLa cells, a cervical cancer cell line. Material/Methods The effects of different ultrasound intensities on the transfection efficiency of miR-21-enhanced green fluorescent protein (EGFP) and miR-21 inhibitor-EGFP plasmids were determined by flow cytometry. The effects of UTMD-mediated miR-21 transfection on HeLa cell proliferation, apoptosis, migration, and invasion were measured by CCK-8, flow cytometry, wound healing experiments, and transwell migration assay, respectively. Western blot and real-time quantitative PCR were used to detect the expression of tumor-related genes. Results When the ultrasound intensity was 1.5 W/cm 2 , the miR-21 plasmid had the highest transfection efficiency. Exogenous miR-21 promoted cell proliferation, migration, and invasion, and inhibited cell apoptosis in HeLa cells. Treatment of cells with UTMD further enhanced the effects of miR-21-EGFP and miR-21 inhibitor-EGFP. In addition, miR-21 overexpression significantly increased the expression of p-Akt, Akt, Bcl-2, Wnt, β-catenin, matrix metalloprotein-9 (MMP-9), and epidermal growth factor (EGFR) levels, and decreased Bax expression. The regulatory role of miR-21 inhibitor-EGFP was opposite to that of miR-21-EGFP. After UTMD, miR-21-EGFP and miR-21 inhibitor-EGFP had more significant regulatory effects on these genes. Conclusions Our research revealed that an ultrasound intensity of 1.5 W/cm 2 is the best parameter for miR-21 transfection. UTMD can enhance the biological function of miR-21 in HeLa cells, and alter the effect of miR-21 on apoptosis, metastasis, and phosphorylation genes.

This paper is aimed at proposing a short-term hybrid energy system robust optimization model for regional energy system planning and air pollution mitigation based on the inexact multi-stage stochastic integer programming and conditional value-at-risk method through a case study in Shandong Province, China. Six power conversion technologies (i.e., coal-fired power, hydropower, photovoltaic power, wind power, biomass power, and nuclear power) and power demand sectors (agriculture, industry, building industry, transportation, business, and residential department) were considered in the proposed model. The optimized electricity generation, capacity expansion schemes, and economic risks were selected to analyze nine defined scenarios. Results revealed that electricity generations of clean and new power had obvious increasing risks and were key considerations of establishing additional capacities to meet the rising social demands. Moreover, the levels of pollutants mitigation and risk-aversion had a significant influence on different power generation schemes and on the total system cost. In addition, the optimization method developed in this paper could effectively address uncertainties expressed as probability distributions and interval values, and could avoid the system risk in energy system planning problems. The proposed optimization model could be valuable for supporting the adjustment or justification of air pollution mitigation management and electric power planning schemes in Shandong, as well as in other regions of China.

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