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Bai, Lan,He, Juan,He, Gong-Hao,He, Jian-Chang,Xu, Fan,Xu, Gui-Li Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.19
Background: Previous studies accessing the association of CYP2C19 with outcomes of patients using tamoxifen for breast cancer have yielded conflicting results. The aim of this meta-analysis is to obtain a more precise estimate of effects of CYP2C19 polymorphisms and to clarify their effects on survival of the breast cancer patients using tamoxifen. Materials and Methods: A systematic search of PubMed and Embase was performed, comparing patients with or without $CYP2C19^*2$ and $CYP2C19^*17$, relevant articles searched for. The following outcomes were included from the eligible studies: disease-free survival (DFS) and overall survival (OS), expressed by hazard ratios (HR) with corresponding 95% confidence interval (CI). Subgroup analysis by genotypes was also performed. Pooled estimates were calculated using random-effect model in accordance to the heterogeneity. Results: Six studies met the inclusion criteria. The integrated OR on the association between CYP2C19 and DFS, calculated by the random-effect model, was 0.54 (95%CI=0.34-0.84, p=0.013). Subgroup analysis showed that both $CYP2C19^*2$ and $CYP2C19^*17$ were associated with increased survival. The pooled results of two studies for OS were OR=0.46 (95%CI=0.21-1.01, p=0.233). Conclusions: This meta-analysis suggests that the $CYP2C19^*2$ and $CYP2C19^*17$ genotypes are associated with increased survival in breast cancer patients using tamoxifen.
Computing Pore Size Distribution in Non-woven Fibrous Filter Media
He Bai,Xiaoming Qian,Jintu Fan,Yao Qian,Yongchao Duo,Yongsheng Liu,Xiaobo Wang 한국섬유공학회 2020 Fibers and polymers Vol.21 No.1
Fundamental understanding of transport properties of non-woven fibrous material is depended on in dept cognitionof their microstructure. Non-woven fibrous filter media are formed by the random distribution of fibers in a specific spaceexhibit a complicated pore size structure. Computing pore size distribution (PSD) is a vital parameter in studying materialtransport dynamics. In this work, a theoretical model was suggested based on the gamma distribution and fiber orientationdistribution to predict the PSD in non-woven fibrous filter media. In parallel, the analytical model was compared with theprevious PSD theories and experimental results. The 3D virtual fiber structure was constructed by using GeoDict code, andthe pore size was represented by the inscribed circle diameter. Parameters influencing the PSD were studied, including fiberdiameter, porosity, and fiber orientation. Comparison of simulation results with analytical model was made. The resultsdemonstrate that the angle between the fiber and the Z-axis has little effect on the PSD. When the porosity is consistent,smaller pores can be formed by reducing fiber diameter. With the fiber diameter is constant, larger pores can be formed byincreasing the porosity.
Jia-He Wang,Yi-Jun Zhou,Xue Bai,Ping He 한국분자세포생물학회 2011 Molecules and cells Vol.32 No.5
Jolkinolide B, a bioactive diterpene isolated from the roots of Euphorbia fischeriana Steud, is known to induce apoptosis in cancer cells. However, the molecular mecha-nism of its anti-cancer activity has not been fully eluci-dated. In the present study, we found that Jolkinolide B reduced cell viability and induced apoptosis in a dose- and time-dependent manner in human leukemic U937. The induction of apoptosis was also accompanied by the downregulation of PI3K/Akt and the inhibitor of apoptosis protein (IAP) family proteins. Moreover, we observed that Jolkinolide B treatment resulted in activation of caspase-3 and -9, which may partly explain the anti-cancer activity of Jolkinolide B. Taken together, our study for the first time suggest that Jolkinolide B is able to enhance apoptosis of U937 cells, at least in part, through downregulation of PI3K/Akt and IAP family proteins. Moreover, triggering of caspase-3 and -9 activation mediated apoptotic induction.
Predictive Role of GSTs on the Prognosis of Breast Cancer Patients with Neoadjuvant Chemotherapy
Bai, Yun-Lu,Zhou, Bing,Jing, Xiao-Yue,Zhang, Bin,Huo, Xiao-Qing,Ma, Chao,He, Jian-Miao Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10
Objective: To evaluate the predictive value of GST gene polymorphisms with regard to prognosis of breast cancer patients receiving neoadjuvant chemotherapy. Methods: A total of 159 patients were included in our study between January 2005 and January 2007. All the patients were followed up until January 2012. Genotyping was based upon the duplex polymerase-chain-reaction with the PCR-CTPP method. Results: Patients with null GSTM1 and GSTP1 Val/Val genotypes had significantly had better response rates to chemotherapy when compared with non-null GSTM1 and GSTP1 Ile/Ile genotypes (OR=1.96 and OR=2.14, respectively). Patients with the GSTM1 null genotype had a longer average survival time and significantly lower risk of death than did those with non-null genotypes (HR=0.66). Similarly, those carrying the GSTP1 Val/Val genotype had 0.54-fold the risk of death of those with GSTP1 Ile/Ile (HR=0.54). Conclusion: A significant association was found between GSTM1 and GSTP1 gene polymorphisms and clinical outcomes in breast cancer cases.
Research on the Authentication of Radio Frequency Identification based on the Hash function
Bai Zhi,He Yi-Gang 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.6
As a kind of accurate, rapid and real – time data acquisitions and processing technology, RFID can give unique identification to entity object, has been widely used in various industries, such as manufacturing, sales, transportation and so on. But with its widely application, many relevant problems, especially the safety issues of RFID system and the low cost issue of label have been raised more and more attention by people; therefore, a new and more appropriate security authentication protocol becomes necessary. In this paper, firstly introducing several now available security authentication protocols, and analyzing their strengths and drawbacks, then proposed a new authentication scheme based on Hash function, doing security properties and feasibility analysis of it in theory, and proving that the security properties of this scheme is more efficient, and it is more applicable to meet the needs of people through test at last.
An Optimal Combined SVM Model for Short-term Wind Speed Forecasting
Bai, Dan-Dan,He, Jing-Han,Tian, Wen-Qi,Wang, Xiaojun,Tony, Yip 대한전기학회 2014 The Journal of International Council on Electrical Vol.4 No.4
A high precise wind speed forecasting method is one of current wind power research hotspots. This paper presented a combined wind speed forecasting model based on support vector machine (SVM) optimized by particle swarm optimization (PSO) using historical data of wind speed at the site. The model took the results of back propagation neural network (BPNN), radial basis function neural network (RBFNN), genetic neural network (GNN) and wavelet neural network (WNN) as the inputs, and adopted the actual wind speed as the output. Meanwhile, particle swarm optimization was used to optimize model parameters. Apply this model in hourly prediction of wind speed using historical data from a wind farm in Shanxi Province. It is observed that its prediction accuracy was not only higher than that of any of its single network but higher than traditional linear combined forecasting model and neural network combined forecasting model.