What can metabolites tell us about gliomas?
What can metabolites tell us about gliomas?
复制标题
关于神经胶质瘤,代谢物能告诉我们什么?
DOI:
10.1093/neuonc/noac128
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发表时间:
2022
期刊:
影响因子:
15.9
通讯作者:
Saya Hideyuki
中科院分区:
文献类型:
--
作者:
Sampetrean Oltea;Saya Hideyuki
The uncontrolled proliferation of cancer cells requires corresponding metabolic adjustments. A deregulated bioenergetic metabolism is thus considered a core feature of malignant neoplasms. 1, 2 This viewpoint has been extensively validated 2 in different types of tumors over the past decade, and the understanding of its molecular foundation has advanced considerably, in part due to the power of metabolomics. Along with identifying oncometabolites, such as (R)-2-hydroxyglutarate (R-2-HG), 3 metabolomic studies have revealed tumor-specific signatures, provided novel mechanistic insights into cancer phenotypes, and enhanced our understanding of drug action. 4 As reported in this issue of Neuro-Oncology, Björkblom et al 5 used multi-platform metabolomics to expand our knowledge related to glioma metabolism. The authors interrogated the characteristics of a large series of adult glial tumors (n= 224) using gas chromatography-and liquid chromatography mass spectrometry (GC-MS and LC-MS). Quantification of 1132 metabolic features, with 240 unique metabolites identified, was integrated with genetic, clinical, and pathological analyses, thereby offering a comprehensive view of the metabolic phenotypes for six WHO classified adult glioma subtypes.A key finding of the study is that isocitrate dehydrogenase (IDH)-wildtype tumors (n= 172) and IDH-mutated tumors (n= 52) had a significantly different metabolic profile, even if 2-HG, present in high levels in IDH-mutated tumors, was excluded from the analysis. While the result might not seem surprising, it has several interesting implications. Tumor metabolism has a cell-autonomous core, but it is also highly influenced by extrinsic factors and can, in turn, influence the microenvironment. Autonomous determinants include genetic aberrations and oncogene addiction, whereas environment-driven effects can be traced back to nutrient and oxygen availability and interactions with non-cancerous cells as well as with the extracellular matrix. 6 The fact that the WHO classified adult glioma subtypes have different metabolic profiles suggests robustness and specificity of the cellautonomous metabolic component for each subtype and confirms the potential of metabolic phenotypes as major