Department of Neurosurgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Department of Neurosurgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Front Immunol. 2022 Oct 28;13:950917. doi: 10.3389/fimmu.2022.950917. eCollection 2022.
The significant difference in prognosis between IDH1 wild-type and IDH1 mutant glioblastoma multiforme (GBM) may be attributed to their metabolic discrepancies. Hence, we try to construct a prognostic signature based on glycolysis-related genes (GRGs) for IDH1-associated GBM and further investigate its relationships with immunity.
Differentially expressed GRGs between IDH1 wild-type and IDH1 mutant GBM were screened based on the TCGA database and the Molecular Signature Database (MSigDB). Consensus Cluster Plus analysis and KEGG pathway analyses were used to establish a new GRGs set. WGCNA, univariate Cox, and LASSO regression analyses were then performed to construct the prognostic signature. Then, we evaluated association of the prognostic signature with patients' survival, clinical characteristics, tumor immunogenicity, immune infiltration, and validated one hub gene.
956 differentially expressed genes (DEGs) between IDH1 wild-type and mutant GBM were screened out and six key prognostically related GRGs were rigorously selected to construct a prognostic signature. Further evaluation and validation showed that the signature independently predicted GBM patients' prognosis with moderate accuracy. In addition, the prognostic signature was also significantly correlated with clinical traits (sex and MGMT promoter status), tumor immunogenicity (mRNAsi, EREG-mRNAsi and HRD-TAI), and immune infiltration (stemness index, immune cells infiltration, immune score, and gene mutation). Among six key prognostically related GRGs, CLEC5A was selected and validated to potentially play oncogenic roles in GBM.
Construction of GRGs prognostic signature and identification of close correlation between the signature and immune landscape would suggest its potential applicability in immunotherapy of GBM in the future.
IDH1 野生型和 IDH1 突变型胶质母细胞瘤(GBM)之间预后的显著差异可能归因于它们的代谢差异。因此,我们试图构建一个基于糖酵解相关基因(GRGs)的 IDH1 相关 GBM 的预后标志物,并进一步研究其与免疫的关系。
基于 TCGA 数据库和分子特征数据库(MSigDB)筛选 IDH1 野生型和 IDH1 突变型 GBM 之间差异表达的 GRGs。共识聚类加分析和 KEGG 通路分析用于建立新的 GRGs 集。然后进行 WGCNA、单变量 Cox 和 LASSO 回归分析构建预后标志物。然后,我们评估了预后标志物与患者生存、临床特征、肿瘤免疫原性、免疫浸润的关系,并验证了一个关键基因。
筛选出 IDH1 野生型和突变型 GBM 之间的 956 个差异表达基因(DEGs),并严格选择 6 个关键与预后相关的 GRGs 构建预后标志物。进一步的评估和验证表明,该标志物可以独立地预测 GBM 患者的预后,具有中等准确性。此外,该预后标志物还与临床特征(性别和 MGMT 启动子状态)、肿瘤免疫原性(mRNAsi、EREG-mRNAsi 和 HRD-TAI)和免疫浸润(干性指数、免疫细胞浸润、免疫评分和基因突变)显著相关。在 6 个与预后相关的关键 GRGs 中,CLEC5A 被选择并验证为 GBM 中潜在的致癌基因。
构建 GRGs 预后标志物并确定其与免疫景观之间的密切相关性,将为其在未来 GBM 免疫治疗中的潜在应用提供依据。