AKT1 and MYC induce distinctive metabolic fingerprints in human prostate cancer.

TitleAKT1 and MYC induce distinctive metabolic fingerprints in human prostate cancer.
Publication TypeJournal Article
Year of Publication2014
AuthorsPriolo C, Pyne S, Rose J, Regan ERavasz, Zadra G, Photopoulos C, Cacciatore S, Schultz D, Scaglia N, McDunn J, De Marzo AM, Loda M
JournalCancer Res
Volume74
Issue24
Pagination7198-204
Date Published2014 Dec 15
ISSN1538-7445
KeywordsAnimals, Biomarkers, Tumor, Gene Expression Regulation, Neoplastic, Humans, Male, Metabolic Networks and Pathways, Mice, Mice, Transgenic, Neoplasm Grading, Neoplasm Proteins, Prostatic Neoplasms, Proto-Oncogene Proteins c-akt, Proto-Oncogene Proteins c-myc
Abstract

Cancer cells may overcome growth factor dependence by deregulating oncogenic and/or tumor-suppressor pathways that affect their metabolism, or by activating metabolic pathways de novo with targeted mutations in critical metabolic enzymes. It is unknown whether human prostate tumors develop a similar metabolic response to different oncogenic drivers or a particular oncogenic event results in its own metabolic reprogramming. Akt and Myc are arguably the most prevalent driving oncogenes in prostate cancer. Mass spectrometry-based metabolite profiling was performed on immortalized human prostate epithelial cells transformed by AKT1 or MYC, transgenic mice driven by the same oncogenes under the control of a prostate-specific promoter, and human prostate specimens characterized for the expression and activation of these oncoproteins. Integrative analysis of these metabolomic datasets revealed that AKT1 activation was associated with accumulation of aerobic glycolysis metabolites, whereas MYC overexpression was associated with dysregulated lipid metabolism. Selected metabolites that differentially accumulated in the MYC-high versus AKT1-high tumors, or in normal versus tumor prostate tissue by untargeted metabolomics, were validated using absolute quantitation assays. Importantly, the AKT1/MYC status was independent of Gleason grade and pathologic staging. Our findings show how prostate tumors undergo a metabolic reprogramming that reflects their molecular phenotypes, with implications for the development of metabolic diagnostics and targeted therapeutics.

DOI10.1158/0008-5472.CAN-14-1490
Alternate JournalCancer Res
PubMed ID25322691
PubMed Central IDPMC4267915
Grant ListP50 CA90381 / CA / NCI NIH HHS / United States
R01CA131945 / CA / NCI NIH HHS / United States
Related Faculty: 
Massimo Loda, M.D.

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