Objective: The purpose of this study was to explore the optimal cutoffs of the three parameters of Ki67 during NAC for predicting patient prognosis and investigate whether the optimal cutoffs of the Ki67 values were a...Objective: The purpose of this study was to explore the optimal cutoffs of the three parameters of Ki67 during NAC for predicting patient prognosis and investigate whether the optimal cutoffs of the Ki67 values were associated with relapse-free survival(RFS) or breast cancer-specific survival(BCSS).Methods: A total of 92 patients with locally advanced breast cancer(LABC), who had residual disease after NAC were retrospectively investigated.The optimal cutoff values of the Ki67 parameters were assessed by the online algorithm Cutoff Finder.Kaplan-Meier analysis, the log-rank test and Cox regression analysis were carried out to analyze survival.Results: The optimal cutoff values for the postsurgical Ki67 level and the decrease in the Ki67 level during NAC were defined as 25% and 12.5%, respectively.According to the univariate survival analysis, a higher Ki67 level in residual disease was associated with poor RFS(P = 0.004) and BCSS(P = 0.014).In addition, a Ki67 expression decrease > 12.5% during NAC was related to favorable RFS(P = 0.007), but was not related to BCSS(P = 0.452).Cox regression analysis showed that the Ki67 expression decrease(> 12.5% vs.≤ 12.5%) and histological grade(grade 3 vs.grade 1-2) were the independent factors associated with RFS(P =0.020 and P = 0.023, respectively), with HR values of 0.353(95% CI: 0.147-0.850) and 3.422(95% CI: 1.188-9.858), respectively.Conclusions: The Ki67 decrease was one of the independent factors associated with RFS in LABC patients with residual disease after receiving NAC.展开更多
Smart soft dielectric elastomer actuators(SSDEAs)possess wide applications in soft robotics due to their properties similar to natural muscles,including large deformation ratio,high energy density,and fast response sp...Smart soft dielectric elastomer actuators(SSDEAs)possess wide applications in soft robotics due to their properties similar to natural muscles,including large deformation ratio,high energy density,and fast response speed.However,the complicated asymmetric and rate-dependent hysteresis property,creep property and quadratic input property of the SSDEA pose enormous challenges to its dynamic modeling and motion control.In this paper,first,we construct the dynamic model of the SSDEA by connecting a square module,a one-sided Prandtl–Ishlinskii(OSPI)model and a linear system in series to describe the above properties.The key and innovative aspect of the dynamic modeling lies in cascading the square module in series with the OSPI model to construct the asymmetric hysteresis model.Subsequently,a PI-funnel and inverse hysteresis compensation(PIFIHC)cascade control method of the SSDEA is proposed to actualize its tracking control objective.By performing the inversion operation on the asymmetric hysteresis model,the inverse hysteresis compensation controller(IHCC)is designed to compensate the asymmetric hysteresis property and quadratic input property of the SSDEA.In addition,a PI-funnel controller is designed to cascade with the IHCC to construct the PIFIHC cascade controller to obtain a good tracking performance.Then,the stability analysis of the PIFIHC cascade control system of the SSDEA is performed to theoretically prove that the tracking error can be controlled within the performance funnel and the steady-state error converges to zero.Finally,several practical tracking control experiments of the SSDEA are conducted,and RRMSEs are less than 2.30%for all experiments.These experimental results indicate the effectiveness and feasibility of the proposed PIFIHC cascade control method of the SSDEA.展开更多
Dear Editor,Breast cancer is now the most frequently diagnosed cancer and is the fifth leading cause of cancer-related death in Chinese women. Therefore, the burden of breast cancer in China is gradually increasing. A...Dear Editor,Breast cancer is now the most frequently diagnosed cancer and is the fifth leading cause of cancer-related death in Chinese women. Therefore, the burden of breast cancer in China is gradually increasing. According to figures released by the Chinese Cancer Center in 2018, the number of newly diagnostic breast cancer is about 278,900 cases, accounting for 16.51%of all women who were diagnosed with the first primary malignant tumors;and 66,000 cases of breast cancer died in 2014 (Chen et al., 2016).展开更多
基金supported by grants from the Department of Education of Guangdong Province (Grant No.2016KQNCX051)Key International Collaborative Project of National Natural Science Fund Committee (Grant No.81320108015)+1 种基金National Natural Science Foundation of China (Grant No.31271068)Natural Science Foundation of Guangdong Province (Grant No.2015A030313429)
文摘Objective: The purpose of this study was to explore the optimal cutoffs of the three parameters of Ki67 during NAC for predicting patient prognosis and investigate whether the optimal cutoffs of the Ki67 values were associated with relapse-free survival(RFS) or breast cancer-specific survival(BCSS).Methods: A total of 92 patients with locally advanced breast cancer(LABC), who had residual disease after NAC were retrospectively investigated.The optimal cutoff values of the Ki67 parameters were assessed by the online algorithm Cutoff Finder.Kaplan-Meier analysis, the log-rank test and Cox regression analysis were carried out to analyze survival.Results: The optimal cutoff values for the postsurgical Ki67 level and the decrease in the Ki67 level during NAC were defined as 25% and 12.5%, respectively.According to the univariate survival analysis, a higher Ki67 level in residual disease was associated with poor RFS(P = 0.004) and BCSS(P = 0.014).In addition, a Ki67 expression decrease > 12.5% during NAC was related to favorable RFS(P = 0.007), but was not related to BCSS(P = 0.452).Cox regression analysis showed that the Ki67 expression decrease(> 12.5% vs.≤ 12.5%) and histological grade(grade 3 vs.grade 1-2) were the independent factors associated with RFS(P =0.020 and P = 0.023, respectively), with HR values of 0.353(95% CI: 0.147-0.850) and 3.422(95% CI: 1.188-9.858), respectively.Conclusions: The Ki67 decrease was one of the independent factors associated with RFS in LABC patients with residual disease after receiving NAC.
基金supported by the National Natural Science Foundation of China(No.62273316)the 111 project(No.B17040)and the Program of China Scholarship Council(No.202206410064).
文摘Smart soft dielectric elastomer actuators(SSDEAs)possess wide applications in soft robotics due to their properties similar to natural muscles,including large deformation ratio,high energy density,and fast response speed.However,the complicated asymmetric and rate-dependent hysteresis property,creep property and quadratic input property of the SSDEA pose enormous challenges to its dynamic modeling and motion control.In this paper,first,we construct the dynamic model of the SSDEA by connecting a square module,a one-sided Prandtl–Ishlinskii(OSPI)model and a linear system in series to describe the above properties.The key and innovative aspect of the dynamic modeling lies in cascading the square module in series with the OSPI model to construct the asymmetric hysteresis model.Subsequently,a PI-funnel and inverse hysteresis compensation(PIFIHC)cascade control method of the SSDEA is proposed to actualize its tracking control objective.By performing the inversion operation on the asymmetric hysteresis model,the inverse hysteresis compensation controller(IHCC)is designed to compensate the asymmetric hysteresis property and quadratic input property of the SSDEA.In addition,a PI-funnel controller is designed to cascade with the IHCC to construct the PIFIHC cascade controller to obtain a good tracking performance.Then,the stability analysis of the PIFIHC cascade control system of the SSDEA is performed to theoretically prove that the tracking error can be controlled within the performance funnel and the steady-state error converges to zero.Finally,several practical tracking control experiments of the SSDEA are conducted,and RRMSEs are less than 2.30%for all experiments.These experimental results indicate the effectiveness and feasibility of the proposed PIFIHC cascade control method of the SSDEA.
基金supported by grants from the National Key Research and Development Program of China(2016YFC1302300)the National Natural Science Foundation of China(81621004,81720108029,81930081,91940305)+3 种基金Guangdong Science and Technology Department(2017B030314026)Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory(2018GZR0201001)Guangzhou Science Technology and Innovation Commission(201803040015)partly supported by Fountain-Valley Life Sciences Fund of University of Chinese Academy of Sciences Education Foundation。
文摘Dear Editor,Breast cancer is now the most frequently diagnosed cancer and is the fifth leading cause of cancer-related death in Chinese women. Therefore, the burden of breast cancer in China is gradually increasing. According to figures released by the Chinese Cancer Center in 2018, the number of newly diagnostic breast cancer is about 278,900 cases, accounting for 16.51%of all women who were diagnosed with the first primary malignant tumors;and 66,000 cases of breast cancer died in 2014 (Chen et al., 2016).
