【摘要】 目的 通过TCGA数据库构建胃癌染色质调节因子相关LncRNA的预后模型，协助评估胃癌患者的预后。方法 从TCGA数据库下载胃癌的转录组数据及临床数据，通过差异分析获得在胃癌中差异表达染色质调节因子后共表达筛选出染色质调节因子相关LncRNA,采用COX分析构建胃癌预后模型，并对其预测能力进行风险曲线分析、单因素和多因素独立预后分析、多指标采用受试者工作特征(ROC)曲线验证。结果 通过差异分析得出148个在胃癌中差异表达的染色质调节因子，共表达分析及COX分析发现，12个染色质调节因子相关LncRNA具有预后作用并纳入构建预后模型。生存分析、风险曲线分析、单因素和多因素独立预后分析、多指标ROC曲线分析结果均显示该预后模型具有较好的预后预测效果。结论 成功构建胃癌染色质调节因子相关LncRNA预后预测模型，能较好地预测患者预后，为胃癌治疗提供参考。更多还原

【Abstract】 Objective To construct a prognosis model of chromatin regulator-related LncRNAs for gastric cancer based on TCGA database and to assist in evaluating the prognosis of patients with gastric cancer.Methods Transcriptome data and clinical data of gastric cancer were downloaded from TCGA database.Chromatin regulator-related LncRNAs were selected by co-expression of differentially expressed chromatin regulators in gastric cancer obtained by differential analysis.Cox analysis was used to construct a prognostic model of gastric cancer, and risk curve analysis was performed for their predictive ability, univariate and multivariate independent prognostic analysis, and multi-index ROC curve validation.Results A total of 148 differentially expressed chromatin regulators were identified in gastric cancer through differential analysis.Co-expression analysis and COX analysis revealed that 12 chromatin regulator-related LncRNAs had prognostic effects and were included in the construction of prognosis models.Survival analysis, risk curve analysis, univariate and multivariate independent prognostic analysis, and multi-indicator ROC curve analysis all showed that the model had a good prognostic predictive effect.Conclusion The prognosis prediction model of LncRNA associated with chromatin regulators in gastric cancer was successfully constructed, which can better predict the prognosis of patients and provide reference for the treatment of gastric cancer.更多还原