Dai Tianxing, Li Jing, Ye Linsen, Yu Haoyuan, Deng Mingbin, Liu Wei, Li Hua, Yang Yang, Wang Guoying
Department of Hepatic Surgery and Liver Transplant Program, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Department of Infectious Diseases and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
J Clin Transl Hepatol. 2022 Apr 28;10(2):308-320. doi: 10.14218/JCTH.2021.00096. Epub 2021 Jul 13.
Numerous studies have explored the important role of N6-methyladenosine (mA) in cancer. Nonetheless, the interaction between mA and long noncoding RNAs (lncRNAs) is poorly investigated. Herein, we systematically analyzed the role and prognostic value of mA-related lncRNAs in hepatocellular carcinoma (HCC).
The mA-related lncRNAs were identified based on the correlation coefficients with mA-related genes in HCC from The Cancer Genome Atlas. Subsequently, a novel risk score model was determined using the least absolute shrinkage and selection operator Cox regression analyses. Univariate and multivariate Cox analyses were used to identify independent prognostic factors for overall survival (OS) of HCC; thereafter, a prognostic nomogram was constructed.
A total of 259 lncRNAs showed significant correlations with mA in HCC, while 29 lncRNAs had prognostic significance. Further, six critical mA-related lncRNAs (NRAV, SNHG3, KDM4A-AS1, AC074117.1, AC025176.1, and AL031985.3) were screened out to construct a novel risk score model which classified HCC patients into high- and low-risk groups. Survival analyses revealed that patients in the high-risk group exhibited worse OS, both in the training and validation groups. The risk score was also identified as an independent prognostic factor of OS, and a nomogram was established and verified with superior prediction capacity. Besides, the risk score significantly correlated with the expression of immune checkpoint genes and immune subtypes.
These findings indicated the significant role of mA-related lncRNAs in HCC and the potential application of the novel risk score model for prognostic prediction.
众多研究探讨了N6-甲基腺苷(m⁶A)在癌症中的重要作用。然而,m⁶A与长链非编码RNA(lncRNA)之间的相互作用却鲜有研究。在此,我们系统地分析了m⁶A相关lncRNA在肝细胞癌(HCC)中的作用及预后价值。
基于来自癌症基因组图谱(The Cancer Genome Atlas)的HCC中m⁶A相关基因的相关系数,鉴定出m⁶A相关lncRNA。随后,使用最小绝对收缩和选择算子Cox回归分析确定了一种新的风险评分模型。采用单因素和多因素Cox分析来确定HCC总生存(OS)的独立预后因素;此后,构建了预后列线图。
共有259个lncRNA在HCC中与m⁶A呈显著相关性,其中29个lncRNA具有预后意义。此外,筛选出6个关键的m⁶A相关lncRNA(NRAV, SNHG3, KDM4A-AS1, AC074117.1, AC025176.1, 和AL031985.3)构建了一种新的风险评分模型,该模型将HCC患者分为高风险组和低风险组。生存分析显示,在训练组和验证组中,高风险组患者的OS均较差。风险评分也被确定为OS的独立预后因素,并建立并验证了具有卓越预测能力的列线图。此外,风险评分与免疫检查点基因的表达及免疫亚型显著相关。
这些发现表明m⁶A相关lncRNA在HCC中具有重要作用,且新的风险评分模型在预后预测方面具有潜在应用价值。