| Autor: |
Zhenyu Zhang, Fangkai Wang, Jianlin Zhang, Wenjing Zhan, Gaosong Zhang, Chong Li, Tongyuan Zhang, Qianqian Yuan, Jia Chen, Manyu Guo, Honghai Xu, Feng Yu, Hengyi Wang, Xingyu Wang, Weihao Kong |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Frontiers in Pharmacology, Vol 13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1663-9812 |
| DOI: |
10.3389/fphar.2022.854851 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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