The 3 ' UTR signature defines a highly metastatic subgroup of triple-negative breast cancer
Wang, Lei1,2,3; Hu, Xin1,2,3; Wang, Peng4,5; Shao, Zhi-Ming1,2,3,6
2016-09-13
发表期刊ONCOTARGET
ISSN1949-2553
卷号7期号:37页码:59834-59844
发表状态已发表
DOI10.18632/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
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
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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.
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