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Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer

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 tyro...

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Autores principales: Jin, Nan, Bi, Aiwei, Lan, Xiaojing, Xu, Jun, Wang, Xiaomin, Liu, Yingluo, Wang, Ting, Tang, Shuai, Zeng, Hanlin, Chen, Ziqi, Tan, Minjia, Ai, Jing, Xie, Hua, Zhang, Tao, Liu, Dandan, Huang, Ruimin, Song, Yue, Leung, Elaine Lai-Han, Yao, Xiaojun, Ding, Jian, Geng, Meiyu, Lin, Shu-Hai, Huang, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586626/
https://www.ncbi.nlm.nih.gov/pubmed/31221965
http://dx.doi.org/10.1038/s41467-019-10427-2
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author Jin, Nan
Bi, Aiwei
Lan, Xiaojing
Xu, Jun
Wang, Xiaomin
Liu, Yingluo
Wang, Ting
Tang, Shuai
Zeng, Hanlin
Chen, Ziqi
Tan, Minjia
Ai, Jing
Xie, Hua
Zhang, Tao
Liu, Dandan
Huang, Ruimin
Song, Yue
Leung, Elaine Lai-Han
Yao, Xiaojun
Ding, Jian
Geng, Meiyu
Lin, Shu-Hai
Huang, Min
author_facet Jin, Nan
Bi, Aiwei
Lan, Xiaojing
Xu, Jun
Wang, Xiaomin
Liu, Yingluo
Wang, Ting
Tang, Shuai
Zeng, Hanlin
Chen, Ziqi
Tan, Minjia
Ai, Jing
Xie, Hua
Zhang, Tao
Liu, Dandan
Huang, Ruimin
Song, Yue
Leung, Elaine Lai-Han
Yao, Xiaojun
Ding, Jian
Geng, Meiyu
Lin, Shu-Hai
Huang, Min
author_sort Jin, Nan
collection PubMed
description 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 that oncogenic RTK activation causes distinct metabolic preference. Specifically, EGFR activation branches glycolysis to the serine synthesis for nucleotide biosynthesis and redox homeostasis, whereas FGFR activation recycles lactate to fuel oxidative phosphorylation for energy generation. Genetic alterations of EGFR and FGFR stratify the responsive tumors to pharmacological inhibitors that target serine synthesis and lactate fluxes, respectively. Together, this study provides the molecular link between cancer genotypes and metabolic dependency, providing basis for patient stratification in metabolism-targeted therapies.
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spelling pubmed-65866262019-06-24 Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer Jin, Nan Bi, Aiwei Lan, Xiaojing Xu, Jun Wang, Xiaomin Liu, Yingluo Wang, Ting Tang, Shuai Zeng, Hanlin Chen, Ziqi Tan, Minjia Ai, Jing Xie, Hua Zhang, Tao Liu, Dandan Huang, Ruimin Song, Yue Leung, Elaine Lai-Han Yao, Xiaojun Ding, Jian Geng, Meiyu Lin, Shu-Hai Huang, Min Nat Commun Article 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 that oncogenic RTK activation causes distinct metabolic preference. Specifically, EGFR activation branches glycolysis to the serine synthesis for nucleotide biosynthesis and redox homeostasis, whereas FGFR activation recycles lactate to fuel oxidative phosphorylation for energy generation. Genetic alterations of EGFR and FGFR stratify the responsive tumors to pharmacological inhibitors that target serine synthesis and lactate fluxes, respectively. Together, this study provides the molecular link between cancer genotypes and metabolic dependency, providing basis for patient stratification in metabolism-targeted therapies. Nature Publishing Group UK 2019-06-20 /pmc/articles/PMC6586626/ /pubmed/31221965 http://dx.doi.org/10.1038/s41467-019-10427-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jin, Nan
Bi, Aiwei
Lan, Xiaojing
Xu, Jun
Wang, Xiaomin
Liu, Yingluo
Wang, Ting
Tang, Shuai
Zeng, Hanlin
Chen, Ziqi
Tan, Minjia
Ai, Jing
Xie, Hua
Zhang, Tao
Liu, Dandan
Huang, Ruimin
Song, Yue
Leung, Elaine Lai-Han
Yao, Xiaojun
Ding, Jian
Geng, Meiyu
Lin, Shu-Hai
Huang, Min
Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title_full Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title_fullStr Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title_full_unstemmed Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title_short Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
title_sort identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586626/
https://www.ncbi.nlm.nih.gov/pubmed/31221965
http://dx.doi.org/10.1038/s41467-019-10427-2
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