代谢物
生物
代谢组学
肿瘤微环境
表型
免疫系统
肾透明细胞癌
代谢组
癌症研究
核糖核酸
计算生物学
生物信息学
遗传学
肾细胞癌
医学
内科学
基因
生物化学
作者
Cerise Tang,Amy Xie,Eric Minwei Liu,Fengshen Kuo,Min‐Soo Kim,Renzo G. DiNatale,Mahdi Golkaram,Ying‐Bei Chen,Sounak Gupta,Robert J. Motzer,Paul Russo,Jonathan Coleman,Maria I. Carlo,Martin H. Voss,Ritesh R. Kotecha,Chung‐Han Lee,Wesley Tansey,Nikolaus Schultz,A. Ari Hakimi,Ed Reznik
出处
期刊:Cell Metabolism
[Elsevier]
日期:2023-07-05
卷期号:35 (8): 1424-1440.e5
被引量:8
标识
DOI:10.1016/j.cmet.2023.06.005
摘要
Tumor cell phenotypes and anti-tumor immune responses are shaped by local metabolite availability, but intratumoral metabolite heterogeneity (IMH) and its phenotypic consequences remain poorly understood. To study IMH, we profiled tumor/normal regions from clear cell renal cell carcinoma (ccRCC) patients. A common pattern of IMH transcended all patients, characterized by correlated fluctuations in the abundance of metabolites and processes associated with ferroptosis. Analysis of intratumoral metabolite-RNA covariation revealed that the immune composition of the microenvironment, especially the abundance of myeloid cells, drove intratumoral metabolite variation. Motivated by the strength of RNA-metabolite covariation and the clinical significance of RNA biomarkers in ccRCC, we inferred metabolomic profiles from the RNA sequencing data of ccRCC patients enrolled in 7 clinical trials, and we ultimately identifyied metabolite biomarkers associated with response to anti-angiogenic agents. Local metabolic phenotypes, therefore, emerge in tandem with the immune microenvironment, influence ongoing tumor evolution, and are associated with therapeutic sensitivity.
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