表型
糖酵解
转录组
代谢组学
氧化磷酸化
新陈代谢
胶质母细胞瘤
代谢活性
代谢途径
癌症研究
生物
碳水化合物代谢
细胞
质谱法
质谱成像
化学
细胞生物学
生物化学
生物信息学
基因
基因表达
生理学
色谱法
作者
Anastasia Tsyben,Andreas Dannhorn,Gregory R. Hamm,Matthaios Pitoulias,Dominique‐Laurent Couturier,Ashley Sawle,Mayen Briggs,Alan J. Wright,Cara R. Brodie,Lee Mendil,Jodi L. Miller,Eleanor C Williams,Lovisa Franzén,Grant de Jong,Tannia Gracia,Fani Memi,Omer Ali Bayraktar,R. Adapa,Jyotsna Upendra Rao,Ariadna González-Fernández
标识
DOI:10.1038/s42255-025-01293-y
摘要
Abstract Transcriptomic studies have attempted to classify glioblastoma (GB) into subtypes that predict survival and have different therapeutic vulnerabilities 1–3 . Here we identified three metabolic subtypes: glycolytic, oxidative and a mix of glycolytic and oxidative, using mass spectrometry imaging of rapidly excised tumour sections from two patients with GB who were infused with [U- 13 C]glucose and from spatial transcriptomic analysis of contiguous sections. The phenotypes are not correlated with microenvironmental features, including proliferation rate, immune cell infiltration and vascularization, are retained when patient-derived cells are grown in vitro or as orthotopically implanted xenografts and are robust to changes in oxygen concentration, demonstrating their cell-intrinsic nature. The spatial extent of the regions occupied by cells displaying these distinct metabolic phenotypes is large enough to be detected using clinically applicable metabolic imaging techniques. A limitation of the study is that it is based on only two patient tumours, albeit on multiple sections, and therefore represents a proof-of-concept study.
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