生物信息学分析肿瘤浸润免疫细胞与视网膜母细胞瘤预后的关系  

Bioinformatics Analysis of the Relationship between Tumor Infiltrating Immune Cells and Prognosis in Retinoblastoma

作　　者：罗应洁 李才锐 

机构地区：[1]大理大学临床医学院,云南 大理 [2]大理州人民医院眼科,云南 大理

出　　处：《生物医学》2025年第2期357-367,共11页Hans Journal of Biomedicine

摘　　要：目的:探讨肿瘤浸润免疫细胞(TIICs)在视网膜母细胞瘤(RB)患者预后中的作用,并构建基于多种免疫细胞的预后模型。方法:从GEO数据库获取RB样本和正常对照样本的基因表达谱及生存信息。(1) 使用CIBERSORT算法计算样本中不同免疫细胞的比例,进行免疫细胞浸润分析;(2) 进行Kaplan-Meier生存分析;(3) 通过LASSO回归、单因素和多因素Cox回归筛选与预后相关的免疫细胞,最终基于训练队列构建由3种免疫细胞(静息NK细胞、M0巨噬细胞和未活化CD4 T细胞)组成的预后模型;(4) 构建免疫细胞风险评分模型,并用Kaplan-Meier法评估模型;(5) 通过ROC曲线评估模型的预测能力。结果:在肿瘤样本中,树突状激活细胞、静息CD4记忆T细胞、调节性T细胞等免疫细胞活跃,而在正常样本中,初始B细胞和肥大细胞较为活跃。生存分析显示,低风险组患者的生存期显著长于高风险组。M0巨噬细胞和未活化CD4 T细胞与生存时间显著相关(P Objective: To investigate the role of tumor infiltrating immune cells (TIICs) in the prognosis of retinoblastoma (RB) patients, and to construct a prognostic model based on a variety of immune cells. Methods: The gene expression profiles and survival information of RB samples and normal control samples were obtained from GEO database. (1) The CIBERSORT algorithm was used to calculate the proportion of different immune cells in the sample, and the immune cell infiltration analysis was carried out;(2) Kaplan-Meier survival analysis;(3) Immune cells related to prognosis were screened by LASSO regression, univariate and multivariate Cox regression, and finally a prognostic model composed of three immune cells (resting NK cells, M0 macrophages and inactivated CD4 T cells) was constructed based on the training cohor;(4) Construct an immune cell risk scoring model and evaluate the model by Kaplan-Meier method;(5) The predictive ability of the model was evaluated by the ROC curve. Results: In tumor samp

关 键 词：视网膜母细胞瘤 肿瘤浸润免疫细胞 预后模型 CIBERSORT 

分 类 号：R73[医药卫生—肿瘤]