The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer

doi:10.18632/oncotarget.10975

	The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer
	Wang, Lei 1,2,3; Hu, Xin 1,2,3; Wang, Peng4,5 ; Shao, Zhi-Ming 1,2,3,6
	2016-09-13
发表期刊	ONCOTARGET (IF:5.168[JCR-2016],5.312[5-Year])
ISSN	1949-2553
卷号	7 期号:37 页码:59834-59844
发表状态	已发表
DOI	10.18632/oncotarget.10975
摘要	Triple-negative breast cancer (TNBC) is a highly heterogeneous disease with an aggressive clinical course. Prognostic models are needed to chart potential patient outcomes. To address this, we used alternative 3'UTR patterns to improve postoperative risk stratification. We collected 327 publicly available microarrays and generated the 3'UTR landscape based on expression ratios of alternative 3'UTR. After initial feature filtering, we built a 17-3'UTR-based classifier using an elastic net model. Time-dependent ROC comparisons and Kaplan-Meier analyses confirmed an outstanding discriminating power of our prognostic model for TNBC patients. In the training cohort, 5-year event-free survival (EFS) was 78.6% (95% CI 71.2-86.0) for the low-risk group, and 16.3% (95% CI 2.3-30.4) for the high-risk group (log-rank p< 0.0001; hazard ratio [HR] 8.29, 95% CI 4.78-14.4), In the validation set, 5-year EFS was 75.6% (95% CI 68.0-83.2) for the low-risk group, and 33.2% (95% CI 17.1-49.3) for the high-risk group (log-rank p< 0.0001; HR 3.17, 95% CI 1.66-5.42). In conclusion, the 17-3'UTR-based classifier provides a superior prognostic performance for estimating disease recurrence and metastasis in TNBC patients and it may permit personalized management strategies.
关键词	prognostic modeling 3 ' untranslated region alternative polyadenylation triple-negative breast cancer biomarker
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[31271413] ; National Natural Science Foundation of China[81602316]
WOS研究方向	Oncology ; Cell Biology
WOS类目	Oncology ; Cell Biology
WOS记录号	WOS:000387153900084
出版者	IMPACT JOURNALS LLC
WOS关键词	MESSENGER-RNA POLYADENYLATION ; ALTERNATIVE CLEAVAGE ; MULTIGENE ASSAY ; EXPRESSION ; CELLS ; RISK ; GENE ; RECURRENCE ; PREDICTION ; BIOMARKERS
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/1710
专题	生命科学与技术学院_特聘教授组_王鹏组
通讯作者	Hu, Xin; Wang, Peng; Shao, Zhi-Ming
作者单位	1.Fudan Univ, Shanghai Canc Ctr, Dept Breast Surg, Shanghai 200433, Peoples R China 2.Fudan Univ, Shanghai Canc Ctr, Key Lab Breast Canc Shanghai, Shanghai 200433, Peoples R China 3.Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai 200433, Peoples R China 4.Chinese Acad Sci, Shanghai Adv Res Inst, Key Lab Syst Biol, Shanghai, Peoples R China 5.ShanghaiTech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China 6.Fudan Univ, Inst Biomed Sci, Shanghai 200433, Peoples R China
通讯作者单位	生命科学与技术学院
推荐引用方式 GB/T 7714	Wang, Lei,Hu, Xin,Wang, Peng,et al. The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer[J]. ONCOTARGET,2016,7(37):59834-59844.
APA	Wang, Lei,Hu, Xin,Wang, Peng,&Shao, Zhi-Ming.(2016).The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer.ONCOTARGET,7(37),59834-59844.
MLA	Wang, Lei,et al."The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer".ONCOTARGET 7.37(2016):59834-59844.