生物
代谢组学
蛋白质组学
免疫系统
计算生物学
乙酰化
蛋白质基因组学
组蛋白
转录组
癌症研究
生物信息学
基因
遗传学
基因表达
作者
Liang-Bo Wang,Alla Karpova,Marina Gritsenko,Jennifer Kyle,Song Cao,Yize Li,Dmitry Rykunov,Antonio Colaprico,Joseph H. Rothstein,Runyu Hong,Vasileios Stathias,MacIntosh Cornwell,Francesca Petralia,Yige Wu,Boris Reva,Karsten Krug,Pietro Pugliese,Emily Kawaler,Lindsey K. Olsen,Wen-Wei Liang
出处
期刊:Cancer Cell
[Elsevier]
日期:2021-02-11
卷期号:39 (4): 509-528.e20
被引量:606
标识
DOI:10.1016/j.ccell.2021.01.006
摘要
Glioblastoma (GBM) is the most aggressive nervous system cancer. Understanding its molecular pathogenesis is crucial to improving diagnosis and treatment. Integrated analysis of genomic, proteomic, post-translational modification and metabolomic data on 99 treatment-naive GBMs provides insights to GBM biology. We identify key phosphorylation events (e.g., phosphorylated PTPN11 and PLCG1) as potential switches mediating oncogenic pathway activation, as well as potential targets for EGFR-, TP53-, and RB1-altered tumors. Immune subtypes with distinct immune cell types are discovered using bulk omics methodologies, validated by snRNA-seq, and correlated with specific expression and histone acetylation patterns. Histone H2B acetylation in classical-like and immune-low GBM is driven largely by BRDs, CREBBP, and EP300. Integrated metabolomic and proteomic data identify specific lipid distributions across subtypes and distinct global metabolic changes in IDH-mutated tumors. This work highlights biological relationships that could contribute to stratification of GBM patients for more effective treatment.
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