三阴性乳腺癌
糖酵解
癌症研究
下调和上调
代谢组学
代谢途径
生物
瓦博格效应
脂肪酸代谢
乳腺癌
癌症
新陈代谢
生物信息学
亚型
遗传学
生物化学
基因
程序设计语言
计算机科学
作者
Yue Gong,Peng Ji,Yun‐Song Yang,Shaowei Xie,Tian‐Jian Yu,Yi Xiao,Ming‐Liang Jin,Ding Ma,Lin‐Wei Guo,Yu-Chen Pei,Wen-Jun Chai,Da‐Qiang Li,Fan Bai,François Bertucci,Xin Hu,Yi‐Zhou Jiang,Zhi-Ming Shao
出处
期刊:Cell Metabolism
[Elsevier]
日期:2020-11-11
卷期号:33 (1): 51-64.e9
被引量:289
标识
DOI:10.1016/j.cmet.2020.10.012
摘要
Summary
Triple-negative breast cancer (TNBC) remains an unmet medical challenge. We investigated metabolic dysregulation in TNBCs by using our multi-omics database (n = 465, the largest to date). TNBC samples were classified into three heterogeneous metabolic-pathway-based subtypes (MPSs) with distinct metabolic features: MPS1, the lipogenic subtype with upregulated lipid metabolism; MPS2, the glycolytic subtype with upregulated carbohydrate and nucleotide metabolism; and MPS3, the mixed subtype with partial pathway dysregulation. These subtypes were validated by metabolomic profiling of 72 samples. These three subtypes had distinct prognoses, molecular subtype distributions, and genomic alterations. Moreover, MPS1 TNBCs were more sensitive to metabolic inhibitors targeting fatty acid synthesis, whereas MPS2 TNBCs showed higher sensitivity to inhibitors targeting glycolysis. Importantly, inhibition of lactate dehydrogenase could enhance tumor response to anti-PD-1 immunotherapy in MPS2 TNBCs. Collectively, our analysis demonstrated the metabolic heterogeneity of TNBCs and enabled the development of personalized therapies targeting unique tumor metabolic profiles.
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