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      Metabolic Effect of Estrogen Receptor Agonists on Breast Cancer Cells in the Presence or Absence of Carbonic Anhydrase Inhibitors

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          Abstract

          Metabolic shift is one of the major hallmarks of cancer development. Estrogen receptor (ER) activity has a profound effect on breast cancer cell growth through a number of metabolic changes driven by its effect on transcription of several enzymes, including carbonic anhydrases, Stearoyl-CoA desaturase-1, and oncogenes including HER2. Thus, estrogen receptor activators can be expected to lead to the modulation of cell metabolism in estrogen receptor positive cells. In this work we have investigated the effect of 17β-estradiol, an ER activator, and ferulic acid, a carbonic anhydrase inhibitor, as well as ER activator, in the absence and in the presence of the carbonic anhydrase inhibitor acetazolamide on the metabolism of MCF7 cells and MCF7 cells, stably transfected to express HER2 (MCF7HER2). Metabolic profiles were studied using 1D and 2D metabolomic Nuclear Magnetic Resonance (NMR) experiments, combined with the identification and quantification of metabolites, and the annotation of the results in the context of biochemical pathways. Overall changes in hydrophilic metabolites were largest following treatment of MCF7 and MC7HER2 cells with 17β-estradiol. However, the carbonic anhydrase inhibitor acetazolamide had the largest effect on the profile of lipophilic metabolites.

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          In silico prediction of protein-protein interactions in human macrophages

          Background: Protein-protein interaction (PPI) network analyses are highly valuable in deciphering and understanding the intricate organisation of cellular functions. Nevertheless, the majority of available protein-protein interaction networks are context-less, i.e. without any reference to the spatial, temporal or physiological conditions in which the interactions may occur. In this work, we are proposing a protocol to infer the most likely protein-protein interaction (PPI) network in human macrophages. Results: We integrated the PPI dataset from the Agile Protein Interaction DataAnalyzer (APID) with different meta-data to infer a contextualized macrophage-specific interactome using a combination of statistical methods. The obtained interactome is enriched in experimentally verified interactions and in proteins involved in macrophage-related biological processes (i.e. immune response activation, regulation of apoptosis). As a case study, we used the contextualized interactome to highlight the cellular processes induced upon Mycobacterium tuberculosis infection. Conclusion: Our work confirms that contextualizing interactomes improves the biological significance of bioinformatic analyses. More specifically, studying such inferred network rather than focusing at the gene expression level only, is informative on the processes involved in the host response. Indeed, important immune features such as apoptosis are solely highlighted when the spotlight is on the protein interaction level.
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            Targeting metabolic transformation for cancer therapy.

            Cancer therapy has long relied on the rapid proliferation of tumour cells for effective treatment. However, the lack of specificity in this approach often leads to undesirable side effects. Many reports have described various 'metabolic transformation' events that enable cancer cells to survive, suggesting that metabolic pathways might be good targets. There are currently several drugs under development or in clinical trials that are based on specifically targeting the altered metabolic pathways of tumours. This Review highlights pathways against which there are already drugs in different stages of development and also discusses additional druggable targets.
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              Abrogation of de novo lipogenesis by stearoyl-CoA desaturase 1 inhibition interferes with oncogenic signaling and blocks prostate cancer progression in mice.

              Increased de novo fatty acid (FA) synthesis is one hallmark of tumor cells, including prostate cancer. We present here our most recent results showing that lipid composition in human prostate cancer is characterized by an increased ratio of monounsaturated FA to saturated FA, compared with normal prostate, and evidence the overexpression of the lipogenic enzyme stearoyl-CoA desaturase 1 (SCD1) in human prostate cancer. As a new therapeutic strategy, we show that pharmacologic inhibition of SCD1 activity impairs lipid synthesis and results in decreased proliferation of both androgen-sensitive and androgen-resistant prostate cancer cells, abrogates the growth of prostate tumor xenografts in nude mice, and confers therapeutic benefit on animal survival. We show that these changes in lipid synthesis are translated into the inhibition of the AKT pathway and that the decrease in concentration of phosphatidylinositol-3,4,5-trisphosphate might at least partially mediate this effect. Inhibition of SCD1 also promotes the activation of AMP-activated kinase and glycogen synthase kinase 3alpha/beta, the latter on being consistent with a decrease in beta-catenin activity and mRNA levels of various beta-catenin growth-promoting transcriptional targets. Furthermore, we show that SCD1 activity is required for cell transformation by Ras oncogene. Together, our data support for the first time the concept of targeting the lipogenic enzyme SCD1 as a new promising therapeutic approach to block oncogenesis and prostate cancer progression.
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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Metabolites
                Metabolites
                metabolites
                Metabolites
                MDPI
                2218-1989
                26 May 2016
                June 2016
                : 6
                : 2
                : 16
                Affiliations
                [1 ]Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB E1A 3E9, Canada; Anissa.Belkaid@ 123456vitalitenb.ca (A.B.); mohamed.touaibia@ 123456umoncton.ca (M.T.); marc.surette@ 123456umoncton.ca (M.E.S.)
                [2 ]Atlantic Cancer Research Institute, Moncton, NB E1C 8X3, Canada; RodneyO@ 123456rrsb.nb.ca
                [3 ]National Research Council of Canada, 1200 Montreal Road, Ottawa, ON, Canada
                Author notes
                [* ]Correspondence: cuperlovim@ 123456nrc.ca ; Tel.: +1-613-993-0116
                Article
                metabolites-06-00016
                10.3390/metabo6020016
                4931547
                27240414
                12d18a8a-e4de-4f60-8ffd-dae72bdae472
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 March 2016
                : 18 May 2016
                Categories
                Article

                17β-estradiol,ferulic acid,carbonic anhydrase,er + cells,metabolomics,cancer metabolism,acetazolamide

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