ISSN 1004-6879

CN 13-1154/R

 

Journal of Chengde Medical University ›› 2023, Vol. 40 ›› Issue (5): 366-371.

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Development of Predictive Signature and Dynamic Nomogram for m7G Methylation-Related LncRNAs in Hepatocellular Carcinoma

PENG Ke-nan1, NING Jing-yuan2, SUN Ke-ran2, FAN Xiao-qing2, ZONG Yan-hong1, TANG Zhi-peng1, TIE Yan-qing1,*   

  1. 1. Laboratory Department of Hebei General Hospital, Shijiazhuang, Hebei, 050051, China;
    2. Hebei Medical University
  • Received:2022-10-08 Online:2023-10-10 Published:2023-12-18

肝癌中m7G甲基化相关lncRNAs预后模型和动态列线图的开发

彭克楠1, 宁静源2, 孙克然2, 范小晴2, 宗彦红1, 唐志鹏1, 帖彦清1,*   

  1. 1.河北省人民医院检验科,河北石家庄 050051;
    2.河北医科大学
  • 通讯作者: *

Abstract: Objective The purpose of this study was to explore the prognostic value of m7G methylation-related long non-coding RNAs (lncRNAs) in hepatocellular carcinoma and develop a dynamic nomogram based on the Cancer Genome Atlas (TCGA) database. Methods The Cancer Genome Atlas (TCGA) database was used to retrieve clinical and transcriptomic data. Univariate Cox regression analysis and multivariate Cox regression analysis were used to screen m7G methylation-related lncRNAs, and finally to construct predictive signature and dynamic nomogram. Results Four m7G methylation-related lncRNAs (AL031985.3, AL365203.2, AC009403.1 and AC015908.3) determined by univariate and multivariate COX regression analysis were used to establish the predictive signature and validated the validity of the model. After assessing level of immune cell infiltration, immune function, and immune checkpoints, significant differences were found between the high-risk and low-risk groups. Finally, a validated online version of the dynamic nomogram was developed. Conclusion The prognosis model and dynamic nomogram of liver cancer based on m7G methylation-related lncRNAs can more accurately predict the prognosis of liver cancer patients, and provide greater convenience for clinical diagnosis and treatment.

Key words: hepatocellular carcinoma, m7G, lncRNAs, predictive signature, dynamic nomogram

摘要: 目的 基于癌症基因组图谱(TCGA)数据库探究m7G甲基化相关的长非编码RNAs(lncRNAs)在肝癌中的预后价值并开发动态列线图。方法 应用TCGA数据库来检索临床和转录组数据。采用单因素Cox回归分析和多因素Cox回归分析筛选预后相关的m7G甲基化相关lncRNAs,最后构建预后模型和动态列线图。结果 通过单因素和多因素Cox回归分析,得到4个m7G甲基化相关的lncRNAs(AL031985.3、AL365203.2、AC009403.1和AC015908.3)。构建了预后模型并验证了该模型的有效性。在评估了免疫细胞浸润水平、免疫功能、免疫检查点后,发现高风险组和低风险组之间存在显著差异。最后开发了有效的在线版动态列线图。结论 基于m7G甲基化相关的lncRNAs的肝癌预后模型和动态列线图可以更准确预测肝癌患者的预后,并为临床的诊治提供了更大的方便性。

关键词: 肝细胞癌, m7G, lncRNAs, 预后模型, 列线图

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