Comprehensive analysis of a ceRNA network reveals potential prognostic cytoplasmic lncRNAs involved in HCC progression

Yi Bai(Chinese Academy of Medical Sciences & Peking Union Medical College), Junyu Long(Chinese Academy of Medical Sciences & Peking Union Medical College), Zhisong Liu(Tianjin University of Finance and Economics), Jianzhen Lin(Chinese Academy of Medical Sciences & Peking Union Medical College), Hanchan Huang(Chinese Academy of Medical Sciences & Peking Union Medical College), Dongxu Wang(Chinese Academy of Medical Sciences & Peking Union Medical College), Yang Xu(Chinese Academy of Medical Sciences & Peking Union Medical College), Fei Miao(Tianjin University of Finance and Economics), Yilei Mao(Chinese Academy of Medical Sciences & Peking Union Medical College), Xinting Sang(Chinese Academy of Medical Sciences & Peking Union Medical College), Haitao Zhao(Chinese Academy of Medical Sciences & Peking Union Medical College)
Journal of Cellular Physiology
March 27, 2019
Cited by 161Open Access
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Abstract

The aberrant expression of long noncoding RNAs (lncRNAs) has drawn increasing attention in the field of hepatocellular carcinoma (HCC) biology. In the present study, we obtained the expression profiles of lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) in 371 HCC tissues and 50 normal tissues from The Cancer Genome Atlas (TCGA) and identified hepatocarcinogenesis-specific differentially expressed genes (DEGs, log fold change ≥ 2, FDR < 0.01), including 753 lncRNAs, 97 miRNAs, and 1,535 mRNAs. Because the specific functions of lncRNAs are closely related to their intracellular localizations and because the cytoplasm is the main location for competitive endogenous RNA (ceRNA) action, we analyzed not only the interactions among these DEGs but also the distributions of lncRNAs (cytoplasmic, nuclear or both). Then, an HCC-associated deregulated ceRNA network consisting of 37 lncRNAs, 10 miRNAs, and 26 mRNAs was constructed after excluding those lncRNAs located only in the nucleus. Survival analysis of this network demonstrated that 15 lncRNAs, 3 miRNAs, and 16 mRNAs were significantly correlated with the overall survival of HCC patients (p < 0.01). Through multivariate Cox regression and lasso analysis, a risk score system based on 13 lncRNAs was constructed, which showed good discrimination and predictive ability for HCC patient survival time. This ceRNA network-construction approach, based on lncRNA distribution, not only narrowed the scope of target lncRNAs but also provided specific candidate molecular biomarkers for evaluating the prognosis of HCC, which will help expand our understanding of the ceRNA mechanisms involved in the early development of HCC.


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