Abstract
Long non-coding RNAs (lncRNAs) have been implicated in carcinogenesis and progression of hepatocellular carcinoma (HCC). This study aimed to identify a robust lncRNA signature for predicting the survival of HCC patients. We performed an integrated analysis of the lncRNA expression profiling in The Cancer Genome Atlas (TCGA)—liver hepatocellular carcinoma database to identify the prognosis-related lncRNA for the HCC. The HCC cohort was randomly divided into a training set (n = 250) and a testing set (n = 113). Following a two-step screening, we identified an 18-lncRNA signature risk score. The high-risk subgroups had significantly shorter survival time than the low-risk group in both the training set (P < 0.0001) and the testing set (P = 0.005). Stratification analysis revealed that the prognostic value of the lncRNA-based signature was independent of the tumor stage and pathologic stage. The area under the receiver operating characteristic curve (AUROC) of the 18-lncRNA signature risk score was 0.826 (95%CI, 0.764–0.888), 0.817 (95%CI, 0.759–0.876), and 0.799 (95%CI, 0.731–0.867) for 1-year, 3-year, and 5-year follow-up, respectively. Bioinformatics analyses indicated that the 18 lncRNA might mediate cell cycle, DNA replication processes, and canonical cancer-related pathways, in which MCM3AP-AS1 was a potential target for HCC. In conclusion, the 18-lncRNA signature was a robust predictive biomarker for the prognosis and progression of HCC.
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Data availability
The datasets presented in this study can be found in online repositories.
Change history
19 February 2024
A Correction to this paper has been published: https://doi.org/10.1007/s13353-024-00845-4
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This study was supported by grants from National Natural Science Foundation (81702419).
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W.Z. and X.C. designed and supervised this study. H.Q., Z.L., and Y.C. conducted the analysis. H.Q. drafted the manuscript. B.J. performed the revision. All authors approved the final version of the manuscript.
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Qiu, H., Jiang, B., Chen, Y. et al. Featured lncRNA-based signature for discriminating prognosis and progression of hepatocellular carcinoma. J Appl Genetics 65, 355–366 (2024). https://doi.org/10.1007/s13353-024-00836-5
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DOI: https://doi.org/10.1007/s13353-024-00836-5