Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China; Key Laboratory of Tumor Immunopathology of Ministry of Education of China, Third Military Medical University, Chongqing 400038, China.
Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China; Key Laboratory of Tumor Immunopathology of Ministry of Education of China, Third Military Medical University, Chongqing 400038, China.
J Genet Genomics. 2017 Nov 20;44(11):519-530. doi: 10.1016/j.jgg.2017.05.007. Epub 2017 Sep 21.
Reprogrammed metabolism is a hallmark of cancer. Glioblastoma (GBM) tumor cells predominantly utilize aerobic glycolysis for the biogenesis of energy and intermediate nutrients. However, in GBM, the clinical significance of glycolysis and its underlying relations with the molecular features such as IDH1 mutation and subtype have not been elucidated yet. Herein, based on glioma datasets including TCGA (The Cancer Genome Atlas), REMBRANDT (Repository for Molecular Brain Neoplasia Data) and GSE16011, we established a glycolytic gene expression signature score (GGESS) by incorporating ten glycolytic genes. Then we performed survival analyses and investigated the correlations between GGESS and IDH1 mutation as well as the molecular subtypes in GBMs. The results showed that GGESS independently predicted unfavorable prognosis and poor response to chemotherapy of GBM patients. Notably, GGESS was high in GBMs of mesenchymal subtype but low in IDH1-mutant GBMs. Furthermore, we found that the promoter regions of tumor-promoting glycolytic genes were hypermethylated in IDH1-mutant GBMs. Finally, we found that high GGESS also predicted poor prognosis and poor response to chemotherapy when investigating IDH1-wildtype GBM patients only. Collectively, glycolysis represented by GGESS predicts unfavorable clinical outcome of GBM patients and is closely associated with mesenchymal subtype and IDH1 mutation in GBMs.
代谢重编程是癌症的一个标志。神经胶质瘤(GBM)肿瘤细胞主要通过有氧糖酵解来生成能量和中间营养物。然而,在 GBM 中,糖酵解的临床意义及其与 IDH1 突变和亚型等分子特征的潜在关系尚未阐明。在此,我们基于包括 TCGA(癌症基因组图谱)、REMBRANDT(分子脑肿瘤数据存储库)和 GSE16011 在内的 glioma 数据集,通过纳入十个糖酵解基因建立了糖酵解基因表达特征评分(GGESS)。然后,我们进行了生存分析,并研究了 GGESS 与 IDH1 突变以及 GBM 中分子亚型之间的相关性。结果表明,GGESS 独立预测 GBM 患者预后不良和对化疗反应差。值得注意的是,GGESS 在间充质亚型的 GBM 中较高,而在 IDH1 突变型 GBM 中较低。此外,我们发现肿瘤促进糖酵解基因的启动子区域在 IDH1 突变型 GBM 中呈高甲基化。最后,我们发现仅在研究 IDH1 野生型 GBM 患者时,高 GGESS 也预示着预后不良和对化疗反应差。总之,以 GGESS 为代表的糖酵解预测了 GBM 患者的临床结局不良,与 GBM 中的间充质亚型和 IDH1 突变密切相关。