期刊
CELL SYSTEMS
卷 12, 期 1, 页码 68-+出版社
CELL PRESS
DOI: 10.1016/j.cels.2020.12.001
关键词
-
资金
- NIH/NCI [U01 CA215848, F30 CA224968]
- Wake Forest Baptist Comprehensive Cancer Center [NIH/NCI P30 CA12197]
By analyzing redox metabolism at a systems level, it is possible to enhance radiation sensitivity and identify personalized metabolic targets for individual cancer patients.
Redox cofactor production is integral toward antioxidant generation, clearance of reactive oxygen species, and overall tumor response to ionizing radiation treatment. To identify systems-level alterations in redox metabolism that confer resistance to radiation therapy, we developed a bioinformatics pipeline for integrating multiomics data into personalized genome-scale flux balance analysis models of 716 radiation-sensitive and 199 radiation-resistant tumors. These models collectively predicted that radiation-resistant tumors reroute metabolic flux to increase mitochondrial NADPH stores and reactive oxygen species (ROS) scavenging. Simulated genome-wide knockout screens agreed with experimental siRNA gene knockdowns in matched radiation-sensitive and radiation-resistant cancer cell lines, revealing gene targets involved in mitochondrial NADPH production, central carbon metabolism, and folate metabolism that allow for selective inhibition of glutathione production and H2O2 clearance in radiation-resistant cancers. This systems approach represents a significant advancement in developing quantitative genome-scale models of redox metabolism and identifying personalized metabolic targets for improving radiation sensitivity in individual cancer patients.
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