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Tian-Hao Weng,Min-Ya Yao,Xiang-Ming Xu,Chen-Yu Hu,Shu-Hao Yao,Yi-Zhi Liu,Zhi-Gang Wu,Tao-Ming Tang,Pei-Fen Fu,Ming-Hai Wang,Hang-Ping Yao 대한암학회 2020 Cancer Research and Treatment Vol.52 No.3
Purpose Triple-negative breast cancer (TNBC) is highly malignant and has poor prognosis and a high mortality rate. The lack of effective therapy has spurred our investigation of new targets for treating this malignant cancer. Here, we identified RON (macrophage-stimulating 1 receptor) and MET (MET proto-oncogene, receptor tyrosine kinase) as a prognostic biomarker and therapeutic targets for potential TNBC treatment. Materials and Methods We analyzed RON and MET expression in 187 primary TNBC clinical samples with immunohistochemistry. We validated the targeted therapeutic effects of RON and MET in TNBC using three tyrosine kinase inhibitors (TKIs): BMS-777607, INCB28060, and tivantinib. The preclinical therapeutic efficacy of the TKIs was mainly estimated using a TNBC xenograft model. Results Patients with TNBC had widespread, abnormal expression of RON and MET. There was RON overexpression, MET overexpression, and RON and MET co-overexpression in 63 (33.7%), 63 (33.7%), and 43 cases (23.0%), respectively, which had poor prognosis and short survival. In vivo, the TKI targeting RON ant MET inhibited the activation of the downstream signaling molecules, inhibited TNBC cell migration and proliferation, and increased TNBC cell apoptosis; in the xenograft model, they significantly inhibited tumor growth and shrank tumor volumes. The TKI targeting RON and Met, such as BMS-777607 and tivantinib, yielded stronger anti-tumor effects than INCB28060. Conclusion RON and MET co-overexpression can be significant pathological characteristics in TNBC for poor prognosis. TKIs targeting RON and MET have stronger drug development potential for treating TNBC.
Wang Tian-Yu,Li Xiao-Fen,Liu Shu-Ming,Liu Bai-Xin,Liang Xi-Dong,Li Shunning,Zhang Gui-Xin,Liu Jian-Bo,Dang Zhi-Min 나노기술연구협의회 2022 Nano Convergence Vol.9 No.55
Polymer dielectrics are insulators or energy storage materials widely used in electrical and electronic devices. Polymer dielectrics are needed with outstanding dielectric characteristics than current technologies. In this study, the self-assembly of boron nitride nanosheets (BNNSs) was applied to form an inorganic–organic nanocoating on various common polymer dielectrics. It is inexpensive and easy to fabricate this thin coating on a large scale. The coating has a wide bandgap and thus can significantly improve the breakdown strength of polymer dielectrics. The charge characteristics and trapping parameters of nano-domains on the surfaces of polymer dielectrics were measured, and the coating had shallow trap levels. This facilitated the dissipation of surface charges and thus greatly increased the flashover voltage. The coating also effectively improved the temperature stability and dielectric constant of the polymer dielectric. This nanocoating shows potential as a method to effectively improve the dielectric characteristics of polymer dielectrics and outperform existing composite polymer dielectrics, which are crucial for large-scale applications in energy storage and power and electronic devices.
The Intellectual Recognition System of Realtime Heart Sound Signal
Yun, Chang,Hui, Wang Wen,Fen, Tian Zhi 대한전자공학회 1992 HICEC:Harbin International Conference on Electroni Vol.1 No.1
The Heart Sound(HS) is a information carrying object for analyzing person body's heart state. Therefor, for improve this used value of the HS as a means of diagnosis heart disease, this paper elaborates a achievable method constituting intellectual HS recognition system, appling the digital signal processing techniques, the pattern recognition techniques and the expert system principle. This paper discusses a framework structure of the intellectual HS recognition, discusses a series of HS parameter definition and acquisition method but seted up the knowlege -- base of HS recognition on the basis of the expert's knowlege HS stethoscopy and training a great deal of HS signal samples, this system development play an important part in describing objectively, scientificly the HS feature, exploiting new type intellectual HS recognition divices.