| Literature DB >> 24359151 |
Akash K Kaushik1, Shaiju K Vareed, Sumanta Basu, Vasanta Putluri, Nagireddy Putluri, Katrin Panzitt, Christine A Brennan, Arul M Chinnaiyan, Ismael A Vergara, Nicholas Erho, Nancy L Weigel, Nicholas Mitsiades, Ali Shojaie, Ganesh Palapattu, George Michailidis, Arun Sreekumar.
Abstract
Despite recent developments in treatment strategies, castration-resistant prostate cancer (CRPC) is still the second leading cause of cancer-associated mortality among American men, the biological underpinnings of which are not well understood. To this end, we measured levels of 150 metabolites and examined the rate of utilization of 184 metabolites in metastatic androgen-dependent prostate cancer (AD) and CRPC cell lines using a combination of targeted mass spectrometry and metabolic phenotyping. Metabolic data were used to derive biochemical pathways that were enriched in CRPC, using Oncomine concept maps (OCM). The enriched pathways were then examined in-silico for their association with treatment failure (i.e., prostate specific antigen (PSA) recurrence or biochemical recurrence) using published clinically annotated gene expression data sets. Our results indicate that a total of 19 metabolites were altered in CRPC compared to AD cell lines. These altered metabolites mapped to a highly interconnected network of biochemical pathways that describe UDP glucuronosyltransferase (UGT) activity. We observed an association with time to treatment failure in an analysis employing genes restricted to this pathway in three independent gene expression data sets. In summary, our studies highlight the value of employing metabolomic strategies in cell lines to derive potentially clinically useful predictive tools.Entities:
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Year: 2013 PMID: 24359151 PMCID: PMC3975657 DOI: 10.1021/pr401106h
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466