1. Identification of Potential Prognostic Long Non-Coding RNA Biomarkers for Predicting Survival in Patients with Hepatocellular Carcinoma.
- Author
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Liao X, Yang C, Huang R, Han C, Yu T, Huang K, Liu X, Yu L, Zhu G, Su H, Wang X, Qin W, Deng J, Zeng X, Ye X, and Peng T
- Subjects
- Aged, Area Under Curve, Carcinoma, Hepatocellular mortality, Databases, Genetic, Female, Gene Expression Regulation, Neoplastic, Humans, Kaplan-Meier Estimate, Liver Neoplasms mortality, Male, Middle Aged, Neoplasm Staging, Peroxisome Proliferator-Activated Receptors metabolism, Prognosis, Proportional Hazards Models, RNA, Long Noncoding genetics, ROC Curve, Risk Factors, Signal Transduction, Biomarkers, Tumor genetics, Carcinoma, Hepatocellular pathology, Liver Neoplasms pathology, RNA, Long Noncoding metabolism
- Abstract
Background/aims: The aim of the current study was to identify potential prognostic long non-coding RNA (lncRNA) biomarkers for predicting survival in patients with hepatocellular carcinoma (HCC) using The Cancer Genome Atlas (TCGA) dataset and bioinformatics analysis., Methods: RNA sequencing and clinical data of HCC patients from TCGA were used for prognostic association assessment by univariate Cox analysis. A prognostic signature was built using stepwise multivariable Cox analysis, and a comprehensive analysis was performed to evaluate its prognostic value. The prognostic signature was further evaluated by functional assessment and bioinformatics analysis., Results: Thirteen differentially expressed lncRNAs (DELs) were identified and used to construct a single prognostic signature. Patients with high risk scores showed a significantly increased risk of death (adjusted P < 0.0001, adjusted hazard ratio = 3.522, 95% confidence interval = 2.307-5.376). In the time-dependent receiver operating characteristic analysis, the prognostic signature performed well for HCC survival prediction with an area under curve of 0.809, 0.782 and 0.79 for 1-, 3- and 5-year survival, respectively. Comprehensive survival analysis of the 13-DEL prognostic signature suggested that it serves as an independent factor in HCC, showing a better performance for prognosis prediction than traditional clinical indicators. Functional assessment and bioinformatics analysis suggested that the prognostic signature was associated with the cell cycle and peroxisome proliferator-activated receptor signaling pathway., Conclusions: The novel lncRNA expression signature identified in the present study may be a potential biomarker for predicting the prognosis of HCC patients., (© 2018 The Author(s). Published by S. Karger AG, Basel.)
- Published
- 2018
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