Activation of Oxidative Stress Response in Cancer Generates a Druggable Dependency on Exogenous Non-essential Amino Acids
- PMID: 31813821
- PMCID: PMC7004873
- DOI: 10.1016/j.cmet.2019.11.012
Activation of Oxidative Stress Response in Cancer Generates a Druggable Dependency on Exogenous Non-essential Amino Acids
Abstract
Rewiring of metabolic pathways is a hallmark of tumorigenesis as cancer cells acquire novel nutrient dependencies to support oncogenic growth. A major genetic subtype of lung adenocarcinoma with KEAP1/NRF2 mutations, which activates the endogenous oxidative stress response, undergoes significant metabolic rewiring to support enhanced antioxidant production. We demonstrate that cancers with high antioxidant capacity exhibit a general dependency on exogenous non-essential amino acids (NEAAs) that is driven by the Nrf2-dependent secretion of glutamate through system xc- (XCT), which limits intracellular glutamate pools that are required for NEAA synthesis. This dependency can be therapeutically targeted by dietary restriction or enzymatic depletion of individual NEAAs. Importantly, limiting endogenous glutamate levels by glutaminase inhibition can sensitize tumors without alterations in the Keap1/Nrf2 pathway to dietary restriction of NEAAs. Our findings identify a metabolic strategy to therapeutically target cancers with genetic or pharmacologic activation of the Nrf2 antioxidant response pathway by restricting exogenous sources of NEAAs.
Keywords: Keap1; NRF2; amino acid synthesis; asparaginase; glutamate; glutaminase; lung cancer; metabolism; non-essential amino acids; oxidative stress; system x(c)(−).
Copyright © 2019 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Interests T.P. reports grants and consulting fees outside of the submitted work from Dracen Pharmaceuticals, Agios, Bristol Meyers Squib, and Calithera Biosciences.
Figures
References
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Molecular Biology Databases
