| Literature DB >> 26216984 |
Anneleen Daemen1, David Peterson2, Nisebita Sahu2, Ron McCord2, Xiangnan Du3, Bonnie Liu3, Katarzyna Kowanetz2, Rebecca Hong3, John Moffat4, Min Gao3, Aaron Boudreau2, Rana Mroue2, Laura Corson3, Thomas O'Brien3, Jing Qing3, Deepak Sampath3, Mark Merchant3, Robert Yauch2, Gerard Manning1, Jeffrey Settleman2, Georgia Hatzivassiliou3, Marie Evangelista5.
Abstract
Although targeting cancer metabolism is a promising therapeutic strategy, clinical success will depend on an accurate diagnostic identification of tumor subtypes with specific metabolic requirements. Through broad metabolite profiling, we successfully identified three highly distinct metabolic subtypes in pancreatic ductal adenocarcinoma (PDAC). One subtype was defined by reduced proliferative capacity, whereas the other two subtypes (glycolytic and lipogenic) showed distinct metabolite levels associated with glycolysis, lipogenesis, and redox pathways, confirmed at the transcriptional level. The glycolytic and lipogenic subtypes showed striking differences in glucose and glutamine utilization, as well as mitochondrial function, and corresponded to differences in cell sensitivity to inhibitors of glycolysis, glutamine metabolism, lipid synthesis, and redox balance. In PDAC clinical samples, the lipogenic subtype associated with the epithelial (classical) subtype, whereas the glycolytic subtype strongly associated with the mesenchymal (QM-PDA) subtype, suggesting functional relevance in disease progression. Pharmacogenomic screening of an additional ∼ 200 non-PDAC cell lines validated the association between mesenchymal status and metabolic drug response in other tumor indications. Our findings highlight the utility of broad metabolite profiling to predict sensitivity of tumors to a variety of metabolic inhibitors.Entities:
Keywords: biomarkers for metabolic inhibitors; glycolysis; lipid synthesis; metabolic subtypes in PDAC; metabolite profiling
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Year: 2015 PMID: 26216984 PMCID: PMC4538616 DOI: 10.1073/pnas.1501605112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205