CD81 通过阻断 CD274/PD-L1 的选择性自噬降解驱动放射抵抗性胶质母细胞瘤的免疫逃逸
CD81 drives immune evasion in radioresistant glioblastoma by blocking selective autophagic degradation of CD274/PD-L1.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Metabolic-related gene pairs signature analysis identifies ABCA1 expression levels on tumor-associated macrophages as a prognostic biomarker in primary IDH(WT) glioblastoma.
Metabolic-related gene pairs signature analysis identifies ABCA1 expression levels on tumor-associated macrophages as a prognostic biomarker in primary IDH(WT) glioblastoma.
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代谢特征有望用于原发性 IDH WT GBM 患者的个体化管理。
尽管异柠檬酸脱氢酶(IDH)突变是胶质瘤常规临床管理的预后标志物,但近90%的胶质母细胞瘤(GBM)患者具有野生型IDH基因型(IDH WT),缺乏可靠的标志物来识别不同的实体。
为了开发一个针对IDH WT GBM患者的稳健预后特征,我们回顾性分析了4个公共数据集,包含377例原发性冷冻肿瘤组织的转录组谱分析和临床随访数据。样本被分为训练数据集(204例)和验证数据集(173例)。基于单样本基因表达水平的相对排名,开发了一个由21个代谢相关基因对(MRGPs)组成的预后特征。进行了GSEA和免疫亚型分析,以揭示MRGP风险组之间生物学过程的差异。使用单细胞RNA-seq数据集检查构成特征的每个MRG在肿瘤组织亚群中的表达分布。最后,在原位GBM模型中对MRGs与肿瘤进展的关联进行了生物学验证。
该代谢特征仍是一个独立的预后因素(风险比,5.71 [3.542-9.218],P < 0.001),可在MGMTp甲基化状态、表达亚型及化疗/放疗亚组中,将患者按总生存期分为高风险和低风险水平。MRGP风险组之间的免疫相关生物学过程存在显著差异。与低风险组相比,高风险组在体液免疫反应和吞噬作用过程中显著富集,并具有更多的单核细胞浸润以及较少的活化DC、NK和γδ T细胞浸润。scRNA-seq数据集分析发现,TAMs中5个MRGs(ABCA1、HMOX1、MTHFD2、PIM1和PTPRE)的表达水平随代谢风险升高而增加。随着肿瘤进展,TAMs中ABCA1的表达水平与肿瘤组织中TAMs的群体呈正相关。下调ABCA1水平可促进TAM向炎症表型极化并控制肿瘤生长。
Although isocitrate dehydrogenase (IDH) mutation serves as a prognostic signature for routine clinical management of glioma, nearly 90% of glioblastomas (GBM) patients have a wild-type IDH genotype (IDH WT ) and lack reliable signatures to identify distinct entities.
To develop a robust prognostic signature for IDH WT GBM patients, we retrospectively analyzed 4 public datasets of 377 primary frozen tumor tissue transcriptome profiling and clinical follow-up data. Samples were divided into a training dataset (204 samples) and a validation (173 samples) dataset. A prognostic signature consisting of 21 metabolism-related gene pairs (MRGPs) was developed based on the relative ranking of single-sample gene expression levels. GSEA and immune subtype analyses were performed to reveal differences in biological processes between MRGP risk groups. The single-cell RNA-seq dataset was used to examine the expression distribution of each MRG constituting the signature in tumor tissue subsets. Finally, the association of MRGs with tumor progression was biologically validated in orthotopic GBM models.
The metabolic signature remained an independent prognostic factor (hazard ratio, 5.71 [3.542-9.218], P < 0.001) for stratifying patients into high- and low-risk levels in terms of overall survival across subgroups with MGMTp methylation statuses, expression subtypes, and chemo/ratio therapies. Immune-related biological processes were significantly different between MRGP risk groups. Compared with the low-risk group, the high-risk group was significantly enriched in humoral immune responses and phagocytosis processes, and had more monocyte infiltration and less activated DC, NK, and γδ T cell infiltration. scRNA-seq dataset analysis identified that the expression levels of 5 MRGs (ABCA1, HMOX1, MTHFD2, PIM1, and PTPRE) in TAMs increased with metabolic risk. With tumor progression, the expression level of ABCA1 in TAMs was positively correlated with the population of TAMs in tumor tissue. Downregulation of ABCA1 levels can promote TAM polarization towards an inflammatory phenotype and control tumor growth.
The metabolic signature is expected to be used in the individualized management of primary IDH WT GBM patients.
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