中国免疫学杂志2024，Vol.40Issue(12)：2565-2573,中插3,10.DOI:10.3969/j.issn.1000-484X.2024.12.018
基于生物信息学研究肝癌脂肪酸代谢lncRNA预后免疫反应及药物敏感性分析
Prognostic immune response and drug sensitivity analysis of hepatocellular carcinoma fatty acid metabolism lncRNA based on bioinformatics
摘要
Abstract
Objective:To explore prognostic lncRNA related with fatty acid metabolism,immune response and drug sensitivity in hepatocellular carcinoma(HCC).Methods:Bioinformatics was used to obtain HCC gene data of TCGA database,most prognostic lncRNA were screened out,and prognostic model was constructed,whose accuracy was verified by ROC curve and nomogram.GO and KEGG were used for biological analysis of lncRNA.GSVA and TMB were used to analyze immune status and mutant genes of HCC patients.TIDE score was used to analyze benefit of immunotherapy in HCC patients to identify potentially effective drugs for HCC.Results:Four lncRNAs(AC074117.1,TMCC1-AS1,LINC01063,MKLN1-AS)related to fatty acid metabolism were identified.K-M curve and ROC curve confirmed that stage and risk score could evaluate prognosis of HCC patients.Nomogram confirmed accuracy of the model prediction;GO and KEGG analysis confirmed abundant biological functions of lncRNA related to fatty acid metabolism.GSVA analysis showed that plasma cells,B cells,neutrophils,NK cells and type Ⅱ-IFN response were significantly different between two risk groups.Patients with low TMB and low risk had the best prognosis.TIDE score of high-risk group was significantly higher than that of low-risk group.Five anticancer drugs more suitable for high-risk population were screened out,namely cyclopamine,rapamy-cin,Proteasome inhibitor,paclitaxel and sunitinib.Conclusion:Prediction model constructed by 4 fatty acid metabolism-related lncRNAs helps to evaluate prognosis of HCC and may provide insights for clinical application and immunotherapy of HCC patients.关键词
肝癌/脂肪酸代谢/lncRNA/预后Key words
Hepatocellular carcinoma/Fatty acid metabolism/lncRNA/Prognosis分类
医药卫生引用本文复制引用
王淼东,彭佩纯,陈泽山,邓鑫..基于生物信息学研究肝癌脂肪酸代谢lncRNA预后免疫反应及药物敏感性分析[J].中国免疫学杂志,2024,40(12):2565-2573,中插3,10.基金项目
广西科技计划项目(桂科AB20297002) （桂科AB20297002）
广西中医药大学研究生教育创新计划项目(YCBXJ2022021). （YCBXJ2022021）
