Abstract
Through metabolic subtyping, metabolic vulnerabilities can be exploited for developing efficacious treatments. A glycolytic subtype indicates poor survival in patients with pancreatic cancer, whereas a cholesterogenic subtype correlates with better outcomes potentially due to more energy expenditure. Personalized medicine holds great promise for improving therapy outcomes by optimally targeting metabolic pathways.
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CITATION STYLE
APA
Mehla, K., & Singh, P. K. (2020). Metabolic subtyping for novel personalized therapies against pancreatic cancer. Clinical Cancer Research, 26(1), 6–8. https://doi.org/10.1158/1078-0432.CCR-19-2926
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