身份(音乐)
胶质瘤
可塑性
国家(计算机科学)
计算机科学
生物
遗传学
物理
程序设计语言
声学
热力学
作者
Jenna K. Minami,Nicholas Bayley,Christopher Tse,Cassidy Andrasz,Dimitri Cadet,Jennifer J. Salinas,Weihong Yan,Amir Borujerdpur,Linda M. Liau,Timothy F. Cloughesy,Kevin Jon Williams,Steven J. Bensinger,Aparna Bhaduri,Thomas G. Graeber,David A. Nathanson
出处
期刊:Neuro-oncology
[Oxford University Press]
日期:2024-11-01
卷期号:26 (Supplement_8): viii287-viii287
标识
DOI:10.1093/neuonc/noae165.1139
摘要
Abstract Gliomas are lethal malignancies comprised of heterogeneous and dynamic subpopulations of cell states resembling normal neurodevelopmental cell types (radial glia (RG), oligodendrocyte progenitor cell (OPC), neuron progenitor cell (NPC), neuron, etc). While both intrinsic (genetics) and extrinsic (brain environment) cues are coupled to glioma state identity, the functional programs governing glioma cell state and plasticity are unknown. Here we performed a multi-omic interrogation of a large library (n=392) of glioma patient tumors, in vivo orthotopic xenografts and in vitro gliomasphere cultures. Comparisons of matched glioma samples across environments revealed the non-native in vitro environment constrains glioma state diversity specifically enriching for stem-like glioma cell states (RG, immune, vascular). This enrichment was linked to lipid metabolic flexibility, enabling tumors enriched for stem-like states to adapt to various tumor microenvironments. By contrast, “lineage-committed” cell states (OPC, NPC, and neuron) demonstrate restricted lipid metabolism, consequently having a dependence on lipid scavenging from the brain microenvironment for survival. These results connect intra-tumoral heterogeneity and plasticity of glioma to lipid metabolism, leveraging the functional diversity of cellular states to reveal potential therapeutic opportunities.
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