维普中文期刊产品整合服务

Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer

查看全文 作　　者：Yidi [1,2]Sun;Chen [1,10]Li;Shichao [3]Pang;Qianlan [4]Yao;Luonan [1,5,6]Chen;Yixue [4,5,7,8,9]Li;Rong [1,5]Zeng 高影响力作者 机构地区：[1]CAS Key Laboratory of Systems Biology,CAS Center for Excellence in Molecular Cell Science,Institute of Biochemistry and Cell Biology,Shanghai Institutes for Biological Sciences,Chinese Academy of Sciences,Shanghai 200031,China;[2]University of Chinese Academy of Sciences,Shanghai 200031,China;[3]Deptartment of Statistics,School of Mathematical Sciences,Shanghai Jiao Tong University,Shanghai 200240,China;[4]School of Life Sciences and Biotechnology,Shanghai Jiao Tong University,Shanghai 200240,China;[5]Department of Life Sciences,ShanghaiTech University,Shanghai 201210,China;[6]CAS Center for Excellence in Animal Evolution and Genetics,Chinese Academy of Sciences,Kunming 650223,China;[7]Bio-Med Big Data Center,Key Laboratory of Computational Biology,CAS-MPG Partner Institute for Computational Biology,Shanghai Institute of Nutrition and Health,Shanghai Institutes for Biological Sciences,Chinese Academy of Sciences,Shanghai 200031,China;[8]Collaborative Innovation Center for Genetics and Development,Fudan University,Shanghai 200032,China;[9]Shanghai Center for Bioinformation Technology,Shanghai Academy of Science&Technology,Shanghai 201203,China;[10]Center for Single-Cell Omics,School of Public Health,Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China高影响力机构 出　　处：《Genomics, Proteomics & Bioinformatics》索引2020年第18卷第5期,共14页高影响力期刊 基　　金：supported by the National Key R&D Program of China(Grant No.2017YFA0505500);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA12010000);the National Program on Key Basic Research Project of China(Grant Nos.2014CBA02000 and 2014CB910500);the National Natural Science Foundation of China(Grant Nos.91029301,30700397,91529303,and 31771476);the support of the SANOFI-SIBS Distinguish Young Scientist Award Scholarship Program。 摘　　要：The estrogen receptor(ER)-negative breast cancer subtype is aggressive with few treatment options available.To identify specific prognostic factors for ER-negative breast cancer,this study included 705,729 and 1034 breast invasive cancer patients from the Surveillance,Epidemiology,and End Results(SEER)and The Cancer Genome Atlas(TCGA)databases,respectively.To identify key differential kinase-substrate node and edge biomarkers between ER-negative and ERpositive breast cancer patients,we adopted a network-based method using correlation coefficients between molecular pairs in the kinase regulatory network.Integrated analysis of the clinical and molecular data revealed the significant prognostic power of kinase-substrate node and edge features for both subtypes of breast cancer.Two promising kinase-substrate edge features,CSNK1A1-NFATC3 and SRC-OCLN,were identified for more accurate prognostic prediction in ERnegative breast cancer patients. 关 键 词：ER-negative breast cancer Edge biomarkers KINASE SUBSTRATE Prognostic prediction
相关文献

参考文献(70)

引证文献(2)

耦合文献(13)

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费