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Novel anti-androgen receptor signaling agents:Understanding the mechanisms of resistance 被引量:2
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作者 Styliani Karanika Theodoros Karantanos +2 位作者 Jianhua Yin likun li Timothy C.Thompson 《Asian Journal of Urology》 2014年第1期30-39,共10页
Prostate cancer remains an intractable threat to the lives of men worldwide.Although deaths from prostate cancer(PCa)in the United States have declined in recent years,in other parts of the world Pca mortality is incr... Prostate cancer remains an intractable threat to the lives of men worldwide.Although deaths from prostate cancer(PCa)in the United States have declined in recent years,in other parts of the world Pca mortality is increasing.The introduction of 2nd generation antiandrogen receptor agents into the therapeutic armamentarium for metastatic castrationresistant prostate cancer(mCRPC)has resulted in modestly increased survival advantages as demonstrated by initial clinical trials.However,analysis of the molecular pathways affected by these agents may lead to new insight into mechanisms of resistance that drive mCRPC,including proliferation and survival signaling pathways that are derepressed by maximum repression of androgen signaling.Combination therapies that involve anti-AR signaling agents together with agents that target these pathways establish a paradigm for the development of more effective treatment of mCRPC.In this review,we briefly summarize the current clinical trial literature with regard to novel anti-AR signaling agents such as abiraterone acetate and enzalutamide.We discuss observational data that point to mechanisms of resistance that emerged from these studies.We further present and discuss recent experimental studies that address the mechanisms of resistance to these treatments.Finally,we discuss novel and rational therapeutic approaches,including combination therapy,for patients with mCRPC. 展开更多
关键词 Prostate cancer Castration-resistant prostate cancer Anti-androgen receptor agents Combination therapies
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数据驱动梯度结构材料弹塑性本构 被引量:6
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作者 杨航 李丽坤 +2 位作者 刘道平 唐山 郭旭 《固体力学学报》 CAS CSCD 北大核心 2021年第3期233-240,共8页
梯度结构材料因其优异的力学性能被广泛应用于工程结构中.论文整合塑性理论和人工神经网络技术,发展了一种构建梯度结构材料弹塑性本构模型的新方法.该方法基于梯度结构材料不同位置的微结构,构建不同代表性体积单元,进而生成应力应变数... 梯度结构材料因其优异的力学性能被广泛应用于工程结构中.论文整合塑性理论和人工神经网络技术,发展了一种构建梯度结构材料弹塑性本构模型的新方法.该方法基于梯度结构材料不同位置的微结构,构建不同代表性体积单元,进而生成应力应变数据,应用生成的数据训练人工神经网络,建立基于神经网络的材料本构模型.应用该方法,论文开展了针对实际工程结构件的计算,算例结果表明,该方法可快速计算梯度功能复合材料在循环载荷反向载荷状态下的宏观响应,且较为准确.该方法为模拟含复杂梯度结构材料的结构件弹塑性力学响应提供了新的工具. 展开更多
关键词 梯度结构材料 人工神经网络 弹塑性本构 代表性体积单元
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