Ontology highlight
ABSTRACT:
SUBMITTER: Jin N
PROVIDER: S-EPMC6586626 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Jin Nan N Bi Aiwei A Lan Xiaojing X Xu Jun J Wang Xiaomin X Liu Yingluo Y Wang Ting T Tang Shuai S Zeng Hanlin H Chen Ziqi Z Tan Minjia M Ai Jing J Xie Hua H Zhang Tao T Liu Dandan D Huang Ruimin R Song Yue Y Leung Elaine Lai-Han EL Yao Xiaojun X Ding Jian J Geng Meiyu M Lin Shu-Hai SH Huang Min M
Nature communications 20190620 1
One of the biggest hurdles for the development of metabolism-targeted therapies is to identify the responsive tumor subsets. However, the metabolic vulnerabilities for most human cancers remain unclear. Establishing the link between metabolic signatures and the oncogenic alterations of receptor tyrosine kinases (RTK), the most well-defined cancer genotypes, may precisely direct metabolic intervention to a broad patient population. By integrating metabolomics and transcriptomics, we herein show t ...[more]