检索结果-南通市图书馆

Hunt for the tipping point during endocrine resistance process in breast cancer by dynamic network biomarkers

Journal of Molecular Cell Biology 2019年第8期11卷 649-664页

作者： Rui Liu Jinzeng Wang Masao Ukai ki sewon Pei Chen Yutaka Suzuki Haiyun Wang Kazuyuki Aihara Mariko Okada-Hatakeyama Luonan Chen School of Mathematics South China University of Science and Technology Guangzhou 510640 China Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming 650223 China School of Life Science and Technology ShanghaiTech University Shanghai 200031 China Shanghai Research Center for Brain Science and Brain-Inspired Intelligence Shanghai 201210 China School of Life Sciences and Technology Tongji University Shanghai 200092 China National Research Center for Translational Medicine (Shanghai) Rui Jin Hospital Shanghai Jiao Tong University School of Medicine Shanghai 200025 China Graduate School of Medical Life Science Yokohama City University Yokohama 230-0045 Japan Laboratory for Integrated Cellular Systems RIKEN Center for Integrative Medical Sciences (IMS) Yokohama 230-0045 Japan Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai 200031 China Department of Medical Genome Sciences Graduate School of Frontier Sciences The University of Tokyo Chiba 277-8562 Japan Institute of Industrial Science The University of Tokyo Tokyo 153-8505 Japan Laboratory of Cell Systems Osaka University Osaka 565-0871 Japan

Acquired drug resistance is the major reason why patients fail to respond to cancer therapies.It is a challenging task to deter.mine the tipping point of endocrine resistance and detect the associated molecules.Derived from new systems biology theory, the dynamic network biomarker (DNB) method is designed to quantitatively identify the tipping point of a drastic system transition and can theoretically identify DNB genes that play key roles in acquiring drug resistance.We analyzed time-course mRNA sequence data generated from the tamoxifen-treated estrogen receptor (ER)-positive MCF-7 cell line, and identified the tipping point of endocrine resistance with its leading molecules.The results show that there is interplay between gene mutations and DNB genes, in which the accumulated mutations eventually affect the DNB genes that subsequently cause the change of transcriptional landscape, enabling full-blown drug resistance. Survival analyses based on clinical datasets validated that the DNB genes were associated with the poor survival of breast cancer patients.The results provided the detection for the pre-resistance state or early signs of endocrine resistance.Our predictive method may greatly benefit the scheduling of treatments for complex diseases in which patients are exposed to considerably different drugs and may become drug resistant.

关键词： drug resistance breast cancer tipping point dynamic network biomarker (DNB) molecular network mRNA-seq

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：