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    马健钧, 熊永强, 王博, 刘琪, 李韧, 张澍. 肝细胞癌铜死亡相关lncRNA预后模型的构建及评估[J]. 循证医学, 2023, 23(3): 156-168. DOI: 10.12019/j.issn.1671-5144.2023.03.004
    引用本文: 马健钧, 熊永强, 王博, 刘琪, 李韧, 张澍. 肝细胞癌铜死亡相关lncRNA预后模型的构建及评估[J]. 循证医学, 2023, 23(3): 156-168. DOI: 10.12019/j.issn.1671-5144.2023.03.004
    shu
    MA Jian-jun, XIONG Yong-qiang, WANG Bo, LIU Qi, LI Ren, ZHANG Shu. Construction and Evaluation of Prognostic Model With Cuproptosis-Related lncRNA in Hepatocellular Carcinoma[J]. Journal of Evidence-Based Medicine, 2023, 23(3): 156-168. DOI: 10.12019/j.issn.1671-5144.2023.03.004
    Citation: MA Jian-jun, XIONG Yong-qiang, WANG Bo, LIU Qi, LI Ren, ZHANG Shu. Construction and Evaluation of Prognostic Model With Cuproptosis-Related lncRNA in Hepatocellular Carcinoma[J]. Journal of Evidence-Based Medicine, 2023, 23(3): 156-168. DOI: 10.12019/j.issn.1671-5144.2023.03.004
    shu

    肝细胞癌铜死亡相关lncRNA预后模型的构建及评估

    Construction and Evaluation of Prognostic Model With Cuproptosis-Related lncRNA in Hepatocellular Carcinoma

      摘要
    • 摘要:
      目的 探究铜死亡相关长链非编码RNA（long non-coding RNA，lncRNA）在肝细胞癌（hepatocellular carcinoma，HCC）患者中的预后价值及其在治疗中的潜在价值。
      方法 从肿瘤基因组图谱（The Cancer Genome Atlas，TCGA）数据库中收集肝细胞癌的转录组数据及对应患者的临床资料。筛选癌组织与正常肝组织差异表达的铜死亡相关基因，并进行基因本体（Gene Ontology，GO）富集分析和京都基因与基因组数据库（Kyoto Encyclopedia of Genes and Genomes，KEGG）通路分析。筛选与肝细胞癌预后相关的铜死亡lncRNA，对肝细胞癌患者进行分组并比较总体生存率。采用最小绝对收缩和选择算子（least absolute shrinkage and selection operator，LASSO）Cox回归分析建立预后风险模型。建立用于预测肝细胞癌患者总体生存率的列线图。
      结果 获得由5个铜死亡相关lncRNA组成的预后模型，包括：RPS6KA6、SNRPEP2、PRELID2、GOT2和RTL8A。风险评分和TNM分期的列线图显示出该模型具有较好的预测能力。该预后模型与肿瘤免疫逃逸及免疫功能下相关基因的表达有关。
      结论 本研究成功构建的铜死亡相关lncRNA预后模型对预测HCC患者生存预后具有一定的准确性和可靠性，为铜死亡和HCC免疫之间的相互作用提供了线索。以铜死亡为核心的治疗有望为HCC治疗提供新的思路。

       

      Abstract:
      Objective To investigate the prognostic and potential therapeutic value of cuproptosis-related long non-coding RNA(lncRNA)in hepatocellular carcinoma(HCC)patients.
      Methods The transcriptome data and clinical data of hepatocellular carcinoma were collected from the TCGA database. The genes related to cuproptosis that were differentially expressed in cancer tissues and normal liver tissues were screened, and Gene Ontology(GO)enrichment analysis and Kyoto Gene and Genome Database(KEGG)pathway analysis were performed. Cuproptosis-related lncRNA associated with the prognosis of HCC were screened, patients' data were grouped, and overall survival rates were compared. The prognostic risk model was established by using LASSO Cox regression analysis. The nomogram was also built to predict overall survival in HCC patients.
      Results A prognostic model consisting of 5 cuproptosis-related lncRNA was established, including RPS6KA6, SNRPEP2, PRELID2, GOT2, and RTL8A. The risk score and TNM stage diagram show the model has good predictive ability. This prognostic model is related to tumor immune escape and the expression of related genes under immune function.
      Conclusions The cuproptosis-related lncRNA prognostic model successfully constructed in this study has certain accuracy and reliability in predicting the survival prognosis of HCC patients, providing clues for the interaction between Cuproptosis and HCC immunity. The treatment with Cuproptosis as the core is expected to provide new ideas for treating HCC.

       

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