■这项研究的目的是在髓母细胞瘤(MB)儿童的组织样本中筛选与吞噬作用调节因子相关的基因,并基于这些基因构建预后模型。
使用来自基因表达综合数据库的GSE50161数据集鉴定MB和对照组之间的差异表达基因。预后相关的吞噬作用调节基因选自GSE85217数据集。将两个数据集的交叉基因(差异表达的预后相关的吞噬作用调节基因)提交给无监督聚类分析,以鉴定疾病亚型。之后,分析了亚型与免疫微环境之间的关联。构建了预后风险评分模型,和功能,免疫相关,并进行药物敏感性分析.
■总共,确定了23个差异表达的预后相关吞噬作用调节基因,从中分类出两种疾病亚型(簇1和簇2)。第2组患者的预后明显差于第1组患者。两种亚型之间的免疫微环境显着不同。最后,10个基因(FAM81A,EZR,NDUFB9,RCOR1,FOXO4,NHLRC2,KIF23,PTPN6,SMAGP,选择MED13)建立预后风险评分模型。低危组的预后优于高危组。模型基因NDUFB9和PTPN6与M2巨噬细胞呈正相关。
■筛选十个关键的吞噬作用调节基因以构建MB的预后模型。这些基因可以作为预测这种类型脑癌患者预后的关键生物标志物。
UNASSIGNED: The aims of this study were to screen for phagocytosis regulator-related genes in tissue samples from children with
medulloblastoma (MB) and to construct a prognostic model based on those genes.
UNASSIGNED: Differentially expressed genes between the MB and control groups were identified using the GSE50161 dataset from the Gene Expression Omnibus database. Prognosis-related phagocytosis regulator genes were selected from the GSE85217 dataset. Intersecting genes of the two datasets (differentially expressed prognosis-related phagocytosis regulator genes) were submitted to unsupervised cluster analysis to identify disease subtypes, after which the association between the subtypes and the immune microenvironment was analyzed. A prognostic risk score model was constructed, and functional, immune-related, and drug sensitivity analyses were performed.
UNASSIGNED: In total, 23 differentially expressed prognosis-related phagocytosis regulator genes were identified, from which two disease subtypes (clusters 1 and 2) were classified. The prognoses of the patients in cluster 2 were significantly worse than those of the patients in cluster 1. The immune microenvironment differed significantly between the two subtypes. Finally, 10 genes (FAM81A, EZR, NDUFB9, RCOR1, FOXO4, NHLRC2, KIF23, PTPN6, SMAGP, and MED13) were selected to establish the prognostic risk score model. The prognosis in the low-risk group was better than that in the high-risk group. The model genes NDUFB9 and PTPN6 were positively correlated with M2 macrophages.
UNASSIGNED: Ten key phagocytosis regulator genes were screened to construct a prognostic model for MB. These genes may serve as key biomarkers for predicting the prognosis of patients with this type of brain cancer.