基于双硫死亡相关lncRNA的胃癌预后评估及其免疫治疗疗效分析
Prognosis Assessment of Gastric Cancer Based on Disulfidptosis-Related lncRNA and Its Immunotherapy Efficacy Analysis
DOI: 10.12677/acm.2025.153764, PDF,   
作者: 刘春淦*, 叶泓钰, 阳成乾：青岛大学青岛医学院，山东 青岛；康复大学青岛中心医院中西医结合科，山东 青岛；徐艳霞#：康复大学青岛中心医院中西医结合科，山东 青岛
关键词: 双硫死亡；lncRNA；免疫治疗；机器学习；Disulfidptosis； lncRNA； Immunotherapy； Machine Learning
摘要: 目的：本研究致力于建立一种基于双硫死亡相关长链非编码RNA (lncRNA)的胃癌预后模型，并深入研究相关lncRNA与肿瘤微环境之间的影响，同时评估其在免疫治疗中的潜在应用价值。方法：本研究使用的胃腺癌患者RNA测序数据及相应临床资料均来源于TCGA数据库。使用Pearson相关性分析、Cox回归分析以及LASSO回归方法，建立了一个与双硫死亡相关的lncRNA风险预后模型，利用K-M曲线和ROC曲线等验证了模型与患者的预后关系。进一步探究不同亚组的生物学功能和肿瘤微环境。结果：本研究筛选出8个与双硫死亡相关的lncRNA，并以此为基础建立了胃癌患者的预后预测模型。依据风险评分，患者被划分为高危组和低危组。K-M曲线表明，两亚组患者的生存时间存在显著统计学差异(P < 0.001)。5年的ROC曲线下面积(AUC)为0.740，反映了模型在预测胃癌患者预后方面具有较高的准确性。多因素Cox回归分析进一步证明预后模型风险评分作为胃癌患者生存期独立影响因素的重要性(P < 0.001)。高危组和低危组在生物学功能、肿瘤微环境和免疫细胞等方面的差异也具有统计学意义(P < 0.05)。结论：8个双硫死亡相关lncRNA构建的风险评分模型，能够有效预测胃癌患者的预后和免疫治疗疗效，更加有助于治疗的个体化、精准化。
Abstract: Objective: This study aims to establish a prognostic model for gastric cancer based on disulfidptosis-related long non-coding RNA (lncRNA), to further study the relationship between related lncRNAs and tumor microenvironment, and to evaluate their potential application value in immunotherapy. Methods: The RNA sequencing data and corresponding clinical data of gastric adenocarcinoma patients used in this study were derived from the TCGA database. Using Pearson correlation analysis, Cox regression analysis, and LASSO regression methods, we established a prognostic model of lncRNA risk associated with disulfidptosis and verified the relationship between the model and the prognosis of patients by using the K-M curve and ROC curve. Then, we further explore the difference in the biological functions and tumor microenvironment between subgroups. Results: In this study, 8 lncRNAs associated with disulfidptosis were screened, and a prognostic prediction model for gastric cancer patients was established. Based on the risk score, patients were divided into high-risk and low-risk groups. The K-M curve showed that there was a significant difference in survival time between the two subgroups (P < 0.001). The area under the ROC curve (AUC) at 5 years was 0.740, reflecting the high accuracy of the model in predicting the prognosis of gastric cancer patients. Multivariate Cox regression analysis further proved the importance of prognostic model risk score as an independent influencing factor for survival in gastric cancer patients (P < 0.001). There were also statistically significant differences in biological function, tumor microenvironment, and immune cells between the high-risk group and the low-risk group (P < 0.05). Conclusion: The risk scoring model constructed by 8 disulfidptosis-related lncRNAs can effectively predict the prognosis and immunotherapy efficacy of gastric cancer patients, which is more conducive to the individualization and precision of treatment.
文章引用：刘春淦, 叶泓钰, 阳成乾, 徐艳霞. 基于双硫死亡相关lncRNA的胃癌预后评估及其免疫治疗疗效分析[J]. 临床医学进展, 2025, 15(3): 1463-1476. https://doi.org/10.12677/acm.2025.153764

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