MicroRNA plays an important role in tumor proliferation and cell cycle. In this study, we suggested the level of miR-302a was increasing in the human ovarian cancer cells compared to the normal cells. We aimed to explore the role of miR-302a downregulation in human ovarian cancer cells. Functional studies demonstrate over expression of miR-302a could significant suppress ovarian cancer cells proliferation and promote the cell cycle progress. In vitro reporter assay suggested SDC1 is a direct target gene of miR-302a. Furthermore, the expressions of miR-302a in ovarian cancer cells were inversely corrected with that of SDC1. Upregulation of SDC1 could rescue the effect of over expressed miR-302a in the ovarian cancer cells. These findings provide evidence that miR-302a plays a key role in inhibition of the ovarian cancer cells proliferation, and enhancing the cells' apoptosis through targeting SDC1, and strongly suggest that exogenous miR-302a may have therapeutic value in treating ovarian cancer.
To investigate the effect of the poly(ADP-ribose) polymerase-1 (PARP-1) inhibitor PJ34 on the proliferation and invasiveness of ovarian cancer C13* cells and the role of nuclear factor-κB (NF-κB).Proliferation of C13* cells was measured using a 3 -(4,5-dimethylthazol-2-yl)-2,5-diphenyl tetrazolium bromide assay after incubation with PJ34 at different concentrations and for different treatment durations. In addition, expression of PARP-1 and the NF-κB p65 subunit after treatment with PJ34 was measured using Western blot and immunocytochemistry. The effect of PJ34 on cell invasiveness was examined using a transwell invasion assay.PJ34 inhibited proliferation of C13* cells in a time- and dose-dependent manner. PJ34 treatment was also associated with a dose-dependent decrease in PARP-1 and NF-κB p65 expression and attenuated invasiveness of C13* cells. PARP-1 expression was positively correlated with NF-κB p65 expression.The PARP-1 inhibitor PJ34 can markedly inhibit the proliferation and invasiveness of C13* cells, possibly due to PARP-1-mediated attenuation of NF-κB activity.
Management dilemma" is frequent in supply chain cooperation promotion.By constructing an evolutionary game model with the manufacturer and the retailer as the game players, the above-mentioned problem is dynamically analyzed, and the evolution path is simulated by MATLAB.The results show that no stable strategy is adopted in the evolutionary system and cooperative promotion is in a circular state when the manufacturer adopts static punishment.When the manufacturer adopts the dynamic penalty regulation policy, the evolutionary system stabilizes with the mixed strategy.At the same time, the manufacturer's stronger punishment can improve the retailer's choice probability of promotion strategy, but the promotion subsidy cannot improve the cooperative promotion.
Purpose During the production process of steel strip, some defects may appear on the surface, that is, traditional manual inspection could not meet the requirements of low-cost and high-efficiency production. The purpose of this paper is to propose a method of feature selection based on filter methods combined with hidden Bayesian classifier for improving the efficiency of defect recognition and reduce the complexity of calculation. The method can select the optimal hybrid model for realizing the accurate classification of steel strip surface defects. Design/methodology/approach A large image feature set was initially obtained based on the discrete wavelet transform feature extraction method. Three feature selection methods (including correlation-based feature selection, consistency subset evaluator [CSE] and information gain) were then used to optimize the feature space. Parameters for the feature selection methods were based on the classification accuracy results of hidden Naive Bayes (HNB) algorithm. The selected feature subset was then applied to the traditional NB classifier and leading extended NB classifiers. Findings The experimental results demonstrated that the HNB model combined with feature selection approaches has better classification performance than other models of defect recognition. Among the results of this study, the proposed hybrid model of CSE + HNB is the most robust and effective and of highest classification accuracy in identifying the optimal subset of the surface defect database. Originality/value The main contribution of this paper is the development of a hybrid model combining feature selection and multi-class classification algorithms for steel strip surface inspection. The proposed hybrid model is primarily robust and effective for steel strip surface inspection.
We investigated the effects and signaling pathways involved in both HGF-mediated regulation of PARP-1 expression and the invasion ability of ovarian cancer cells. Using a transwell assay, the invasiveness of SKOV-3 cells was tested by incubating them with increasing concentrations of HGF. The relative expression levels of PARP-1 after HGF treatment were analyzed by Real-Time PCR and western blotting. SKOV3 cells were transfected with either negative control siRNA or PARP-1 siRNA, and were divided into different groups as follows: control group; HGF group; PARP-siRNA group; HGF+PARP-siRNA group; NC-siRNA group; and HGF+NC-siRNA group. Western blotting was employed to measure the expression of PARP-1 in the different groups. Transwell tests were used to examine invasiveness. ELISA was applied to measure MMP-2 expression. HGF promotes cell invasion in a concentration- and time-dependent manner in SKOV-3 cells. The expression levels of PARP-1 increased after administration of 40 ng/ml HGF for 24 h. The expression of PARP-1 in the PARP1-siRNA group was lower compared with that in the NC-siRNA group (P < 0.05); PARP1-siRNA transfection significantly reduced the impact of HGF on invasiveness and MMP-2 expression in SKOV-3 cells. HGF promotes the invasiveness and metastasis of ovarian cancer cells. This effect could be related to the induction of increased expression levels of MMP-2 mediated by PARP-1.
Objective: To investigate the clinical effects of hysteroscopic electrosurgery and hysteroscopic diagnostic scraping on the treatment of endometrial polyps. Methods: Clinical data from 128 patients with endometrial polyps included in the study were collected and randomly divided into two groups, with 64 cases each in the electrodesiccation group and diagnostic scraping group. The electrodesiccation group underwent hysteroscopic electrodesiccation, while the diagnostic scraping group underwent hysteroscopic diagnostic scraping. Clinical indicators were combined to compare the efficacy of the two groups. Results: (1) Following treatment, the hemoglobin level in the electrodesiccation group was significantly higher than that in the diagnostic curettage group, and the endometrial thickness was significantly lower than that in the diagnostic curettage group (P < 0.001); (2) After treatment, the serum VEGF level in the electrodesiccation group was significantly lower than that in the diagnostic curettage group (P < 0.001); (3) Operative time and operative bleeding in the electrodesiccation group were significantly lower than those in the diagnostic scraping group (P < 0.001); (4) The complication rate was significantly lower in the electrodesiccation group (4, 6.251%) compared to the diagnostic scraping group (12, 18.751%), with a P value less than 0.05 (P = 0.033). Conclusion: Hysteroscopic electrosurgery demonstrates superior efficacy in the treatment of endometrial polyps compared to hysteroscopic curettage.
With the rapid rise of IT industry,the study on the quality evaluation standards for communication construction has been given more and more attention for its future stable development.Based on the quality evaluation process currently involved in the telecommunication project building company at home and abroad and taking into consideration of four related aspects of function,strictness,egibility and efficiency,this paper brings forward a three-level indicator system for quality evaluation and sets out a detailed index.This paper also discusses the real operation on the digital reference quality evaluation based on the analytical hierarchy process.
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