AUTHOR=Zhang Zhenyu , Wang Fangkai , Zhang Jianlin , Zhan Wenjing , Zhang Gaosong , Li Chong , Zhang Tongyuan , Yuan Qianqian , Chen Jia , Guo Manyu , Xu Honghai , Yu Feng , Wang Hengyi , Wang Xingyu , Kong Weihao
TITLE=An m6A-Related lncRNA Signature Predicts the Prognosis of Hepatocellular Carcinoma
JOURNAL=Frontiers in Pharmacology
VOLUME=13
YEAR=2022
URL=https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.854851
DOI=10.3389/fphar.2022.854851
ISSN=1663-9812
ABSTRACT=Objective: The purpose of this study was to establish an N6-methylandenosine (m6A)-related long non-coding RNA (lncRNA) signature to predict the prognosis of hepatocellular carcinoma (HCC).
Methods: Pearson correlation analysis was used to identify m6A-related lncRNAs. We then performed univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct an m6A-related lncRNA signature. Based on the cutoff value of the risk score determined by the X-title software, we divided the HCC patients into high -and low-risk groups. A time-dependent ROC curve was used to evaluate the predictive value of the model. Finally, we constructed a nomogram based on the m6A-related lncRNA signature.
Results: ZEB1-AS1, MIR210HG, BACE1-AS, and SNHG3 were identified to comprise an m6A-related lncRNA signature. These four lncRNAs were upregulated in HCC tissues compared to normal tissues. The prognosis of patients with HCC in the low-risk group was significantly longer than that in the high-risk group. The M6A-related lncRNA signature was significantly associated with clinicopathological features and was established as a risk factor for the prognosis of patients with HCC. The nomogram based on the m6A-related lncRNA signature had a good distinguishing ability and consistency.
Conclusion: We identified an m6A-related lncRNA signature and constructed a nomogram model to evaluate the prognosis of patients with HCC.