"Tumors that are using the body's own nutrients (lactate and ketones) as "fuel" have a poorer outcome for patient survival, a behavior that now can be used to predict if a patient is at a high-risk for recurrence or metastasis," Dr. Lisanti said. "This is getting to the heart of personalized cancer medicine. Now, we have identified a panel of biomarkers that directly links cancer metabolism with targeted cancer therapy."
These findings suggest, according to the authors, that high-risk cancer patients (those whose cancer cells use high-energy metabolites) can be treated with new therapeutics that target oxidative mitochondrial metabolism, such as the antioxidant metformin, a drug that is also used to treat diabetes.
"Knowing the gene signatures of patients whose cancer cells are "eating" these metabolites (lactate and ketones) for fuel is a pivotal piece of new information that we can use to diagnose and treat cancer patients," said Martinez-Outschoorn, M.D., of the department of Medical Oncology at Thomas Jefferson University, and the lead author of the paper. "It's not just that we know those patients will have poor survival; we know that those patients are using mitochondrial metabolism, which is the type of energy metabolism that we should be targeting with new anti-cancer drugs."
The researchers propose that this new approach to diagnosis and subsequent treatment be called "Metabolo-Genomics" since it incorporates both cell metabolism and gene transcriptional profiling. This strategy could now be used to direct which patients receive a particular "tailored" anti-metabolic therapy.
Genetic markers, like expression of the mutationally activated HER2 gene, provide biomarkers that can be used to identify breast cancer patients at high-risk for recurrence or metastasis, and to modify their subsequent treatment with ta
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Thomas Jefferson University