title: Characterization of long non-coding RNA-associated ceRNA network to reveal potential prognostic lncRNA biomarkers in human ovarian cancer.
abstract: Accumulating evidence has underscored the important roles of long non-coding RNAs (lncRNAs) acting as competing endogenous RNAs (ceRNAs) in cancer initiation and progression. In this study, we used an integrative computational method to identify miRNA-mediated ceRNA crosstalk between lncRNAs and mRNAs, and constructed global and progression-related lncRNA-associated ceRNA networks (LCeNETs) in ovarian cancer (OvCa) based on "ceRNA hypothesis". The constructed LCeNETs exhibited small world, modular architecture and high functional specificity for OvCa. Known OvCa-related genes tended to be hubs and occurred preferentially in the functional modules. Ten lncRNA ceRNAs were identified as potential candidates associated with stage progression in OvCa using ceRNA-network driven method. Finally, we developed a ten-lncRNA signature which classified patients into high- and low-risk subgroups with significantly different survival outcomes. Our study will provide novel insight for better understanding of ceRNA-mediated gene regulation in progression of OvCa and facilitate the identification of novel diagnostic and therapeutic lncRNA ceRNAs for OvCa.
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Meng
authors: M
authors: Zhou
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Xiaojun
authors: X
authors: Wang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Hongbo
authors: H
authors: Shi
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Liang
authors: L
authors: Cheng
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Zhenzhen
authors: Z
authors: Wang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Hengqiang
authors: H
authors: Zhao
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Lei
authors: L
authors: Yang
authors: College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, PR China.
authors: Jie
authors: J
authors: Sun
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D019295:Computational Biology / Q000379:methods; D005260:Female; D015972:Gene Expression Regulation, Neoplastic / Q000235:genetics*; D053263:Gene Regulatory Networks; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D010051:Ovarian Neoplasms / Q000235:genetics*; D011379:Prognosis; D062085:RNA, Long Noncoding / Q000235:genetics*; D020239:Receptor Cross-Talk / Q000502:physiology
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; D062085:RNA, Long Noncoding
keywords: biomarker; competing endogenous RNA; long non-coding RNA; ovarian cancer