Construction and validation of a prognostic risk model for hepatocellular carcinoma based on angiogenesis-related lncRNAs

doi:10.3969/j.issn.1009-976X.2024.01.002

Abstract

Abstract: Objective To construct and validate a prognostic risk model based on long non-coding RNA associated with angiogenesis in hepatocellular carcinoma. Methods LncRNAs associated with angiogenesis were screened by Pearson correlation analysis and differentially expressed lncRNAs were extracted. Multivariate Cox regression combined with LASSO regression was used to establish the risk prognosis model, which was verified by survival analysis, independent prognosis analysis and risk analysis. The relationship between risk score and the expression of immune cells, immune microenvironment and immune checkpoint was analyzed. Results In the risk prognosis model constructed by screened angiogenation-related lncrnas, HCC patients with higher risk scores had worse prognosis, and the infiltration of macrophages and Treg cells also proved that risk scores were correlated with changes in the immune microenvironment. Conclusion The model has good reliability and validity in predicting the prognosis of patients with hepatocellular carcinoma.

Key words: hepatocellular carcinoma, angiogenesis, lncRNA, prognosis

摘要： 目的构建并验证基于血管生成相关长非编码RNA评估肝细胞癌患者的预后风险模型。方法利用Pearson相关分析筛选出与血管生成相关lncRNA,提取差异表达的血管生成相关lncRNA。通过多因素Cox回归联合LASSO回归建立风险预后模型,并通过生存分析、独立预后分析、风险分析等进行验证。利用列线图模型进行预后预测、分析风险评分与免疫细胞、免疫微环境及免疫检查点表达的关系对预后模型进行评估。结果筛选出的血管生成相关的lncRNA构建的风险预后模型中,风险评分越高的HCC患者预后越差,巨噬细胞及Treg细胞的浸润也证明风险评分与免疫微环境改变相关。结论该模型对预测肝细胞癌患者的预后有较好的信度和效度。

关键词: 肝细胞癌, 血管生成, 长非编码RNA, 预后

CLC Number:

R735.7

LUO Wan-rong, ZHANG Wen-yue, LUO Bao-ming. Construction and validation of a prognostic risk model for hepatocellular carcinoma based on angiogenesis-related lncRNAs[J]. Lingnan Modern Clinics In Surgery, 2024, 24(01): 7-13.

罗婉蓉, 张文岳, 罗葆明. 基于血管生成相关lncRNAs的肝细胞癌预后风险模型的构建及验证[J]. 岭南现代临床外科, 2024, 24(01): 7-13.

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