Systemically identifying and prioritizing risk lncRNAs through integration of pan-cancer phenotype associations

作者：Chaohan Xu, Rui Qi, Yanyan Ping, Jie Li, Hongying Zhao, Li Wang, Michael Du, Yun Xiao, Xia Li · 发表于：Oncotarget · 年份：2017 · DOI：10.18632/oncotarget.14510 · 被引用次数：16 · 研究领域：Cancer-related molecular mechanisms research、RNA modifications and cancer、RNA Research and Splicing

// Chaohan Xu 1, * , Rui Qi 1, * , Yanyan Ping 1, * , Jie Li 1 , Hongying Zhao 1 , Li Wang 1 , Michael Yifei Du 3 , Yun Xiao 1, 2 , Xia Li 1 1 College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China 2 Key Laboratory of Cardiovascular Medicine Research, Harbin Medical University, Ministry of Education, China 3 Weston High School of Massachusetts, Massachusetts, USA * These authors have contributed equally to this work Correspondence to: Xia Li, email: lixia@hrbmu.edu.cn Yun Xiao, email: xiaoyun@ems.hrbmu.edu.cn Keywords: disease phenotype association, risk lncRNA, pan cancer, identification and prioritization Received: July 15, 2016      Accepted: December 12, 2016      Published: January 05, 2017 ABSTRACT LncRNAs have emerged as a major class of regulatory molecules involved in normal cellular physiology and disease, our knowledge of lncRNAs is very limited and it has become a major research challenge in discovering novel disease-related lncRNAs in cancers. Based on the assumption that diverse diseases with similar phenotype associations show similar molecular mechanisms, we presented a pan-cancer network-based prioritization approach to systematically identify disease-specific risk lncRNAs by integrating disease phenotype associations. We applied this strategy to approximately 2800 tumor samples from 14 cancer types for prioritizing disease risk lncRNAs. Our approach yielded an...