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

doi:10.1016/j.gpb.2019.11.012

	Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer
	Sun, Yidi 1,2; Li, Chen 1,10; Pang, Shichao 3; Yao, Qianlan 4; Chen, Luonan1,5,6 ; Li, Yixue4,5,7,8,9 ; Zeng, Rong1,5
	2020-10
发表期刊	GENOMICS PROTEOMICS & BIOINFORMATICS (IF:11.5[JCR-2023],10.3[5-Year])
ISSN	1672-0229
EISSN	2210-3244
卷号	18 期号:5 页码:525-538
DOI	10.1016/j.gpb.2019.11.012
摘要	The estrogen receptor (ER)-negative breast cancer subtype is aggressive with few treat-ment 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, Epidemiol-ogy, 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 ER -positive 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 ER negative breast cancer patients.
关键词	ER-negative breast cancer Edge biomarkers Kinase Substrate Prognostic prediction
收录类别	SCIE
语种	英语
WOS研究方向	Genetics & Heredity
WOS类目	Genetics & Heredity
WOS记录号	WOS:000685123500004
出版者	ELSEVIER
原始文献类型	Article
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/128006
专题	生命科学与技术学院_特聘教授组_陈洛南组生命科学与技术学院_特聘教授组_曾嵘组生命科学与技术学院_特聘教授组_李亦学组
通讯作者	Chen, Luonan; Li, Yixue; Zeng, Rong
作者单位	1.Chinese Acad Sci, CAS Ctr Excellence Mol Cell Sci, Inst Biochem & Cell Biol, CAS Key Lab Syst Biol,Shanghai Inst Biol Sci, Shanghai 200031, Peoples R China; 2.Univ Chinese Acad Sci, Shanghai 200031, Peoples R China; 3.Shanghai Jiao Tong Univ, Sch Math Sci, Dept Stat, Shanghai 200240, Peoples R China; 4.Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Shanghai 200240, Peoples R China; 5.ShanghaiTech Univ, Dept Life Sci, Shanghai 201210, Peoples R China; 6.Chinese Acad Sci, CAS Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China; 7.Chinese Acad Sci, Biomed Big Data Ctr, CAS MPG Partner Inst Computat Biol,Shanghai Inst, Shanghai Inst Nutr & Hlth,Key Lab Computat Biol, Shanghai 200031, Peoples R China; 8.Fudan Univ, Collaborat Innovat Ctr Genet & Dev, Shanghai 200032, Peoples R China; 9.Shanghai Acad Sci & Technol, Shanghai Ctr Bioinformat Technol, Shanghai 201203, Peoples R China; 10.Shanghai Jiao Tong Univ, Ctr Single Cell Omics, Sch Publ Hlth, Sch Med, Shanghai 200025, Peoples R China
通讯作者单位	上海科技大学
推荐引用方式 GB/T 7714	Sun, Yidi,Li, Chen,Pang, Shichao,et al. Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer[J]. GENOMICS PROTEOMICS & BIOINFORMATICS,2020,18(5):525-538.
APA	Sun, Yidi.,Li, Chen.,Pang, Shichao.,Yao, Qianlan.,Chen, Luonan.,...&Zeng, Rong.(2020).Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer.GENOMICS PROTEOMICS & BIOINFORMATICS,18(5),525-538.
MLA	Sun, Yidi,et al."Kinase-substrate Edge Biomarkers Provide a More Accurate Prognostic Prediction in ER-negative Breast Cancer".GENOMICS PROTEOMICS & BIOINFORMATICS 18.5(2020):525-538.