http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Legumain Protein as a Potential Predictive Biomarker for Asian Patients with Breast Carcinoma
Wu, Mei,Shao, Guang-Rui,Zhang, Fei-Xue,Wu, Wen-Xiu,Xu, Ping,Ruan, Zheng-Min Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24
Background: Treatment for breast cancer is mainly performed by surgical resection of primary tumors and chemotherapy. However, after tumor invasion and metastases, breast cancer is hard to control. Clarification of the pathogenic mechanisms would be helpful to the prognosis or therapy for the breast cancer. The aim of this study is to investigate the clinical and prognostic implications of legumain protein Materials and Methods: In this study, we examined mastectomy specimens from 114 breast cancer and matching, 26 adjacent non-cancerous tissues using immunohistochemistry. Results: The results indicated that positive expression of legumain protein in breast cancer was 51.8 % (59/114) and the positive expression of legumain protein in adjacent non-cancerous tissue was 11.5% (3/26). It appeared to be related with lymph node metastasis of breast cancer (p=0.02) and correlation analysis indicated that legumain expression was correlated positively with the estrogen receptor (ER) and mutant-type p53 expression (both p<0.05). Positive legumain expression was significantly associated with shorter overall survival time in breast cancer patients (log-rank p<0.01). Multivariate survival analysis suggested that the positive legumain expression was an independent predictor of poorer overall survival in patients with breast cancer (HR=0.24; 95%CI 0.11-0.65, p=0.03). Conclusions: Legumain might be a new potential biomarker for breast cancer, which may reflect the prognosis and overall survival.
Research of Improved Wireless Sensor Network Routing Protocol
Zhang Wumei 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.11
Wireless sensor network is composed of a dense deployment of intelligent sensors in the monitoring area basis points in Ad Hoc network of application system. Based on improved grouping kind of energy efficient routing protocol is a kind of adaptive, distributed routing protocols. Basis points through the sensor and its deployment area to build mathematical model, deduce a given number of basis points improved grouping the computational expressions of the class. Numerical results obtained using the MATLAB software, and the calculation results are analyzed, it is concluded that with the increase of bp number x, the change of the improved grouping class k curve approach gently, as bp number x increases to a certain stage, the overall trend or bp number x increases, the improvement group class k increase, but in a local number x range basis points to increase the impact on the optimal cluster number k.