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      Modulation of Cell Metabolic Pathways and Oxidative Stress Signaling Contribute to Acquired Melphalan Resistance in Multiple Myeloma Cells

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          Abstract

          Alkylating agents are widely used chemotherapeutics in the treatment of many cancers, including leukemia, lymphoma, multiple myeloma, sarcoma, lung, breast and ovarian cancer. Melphalan is the most commonly used chemotherapeutic agent against multiple myeloma. However, despite a 70–80% initial response rate, virtually all patients eventually relapse due to the emergence of drug-resistant tumour cells. By using global proteomic and transcriptomic profiling on melphalan sensitive and resistant RPMI8226 cell lines followed by functional assays, we discovered changes in cellular processes and pathways not previously associated with melphalan resistance in multiple myeloma cells, including a metabolic switch conforming to the Warburg effect (aerobic glycolysis), and an elevated oxidative stress response mediated by VEGF/IL8-signaling. In addition, up-regulated aldo-keto reductase levels of the AKR1C family involved in prostaglandin synthesis contribute to the resistant phenotype. Finally, selected metabolic and oxidative stress response enzymes were targeted by inhibitors, several of which displayed a selective cytotoxicity against the melphalan-resistant cells and should be further explored to elucidate their potential to overcome melphalan resistance.

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          On the origin of cancer cells.

          O WARBURG (1956)
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            Targeting cellular metabolism to improve cancer therapeutics

            The metabolic properties of cancer cells diverge significantly from those of normal cells. Energy production in cancer cells is abnormally dependent on aerobic glycolysis. In addition to the dependency on glycolysis, cancer cells have other atypical metabolic characteristics such as increased fatty acid synthesis and increased rates of glutamine metabolism. Emerging evidence shows that many features characteristic to cancer cells, such as dysregulated Warburg-like glucose metabolism, fatty acid synthesis and glutaminolysis are linked to therapeutic resistance in cancer treatment. Therefore, targeting cellular metabolism may improve the response to cancer therapeutics and the combination of chemotherapeutic drugs with cellular metabolism inhibitors may represent a promising strategy to overcome drug resistance in cancer therapy. Recently, several review articles have summarized the anticancer targets in the metabolic pathways and metabolic inhibitor-induced cell death pathways, however, the dysregulated metabolism in therapeutic resistance, which is a highly clinical relevant area in cancer metabolism research, has not been specifically addressed. From this unique angle, this review article will discuss the relationship between dysregulated cellular metabolism and cancer drug resistance and how targeting of metabolic enzymes, such as glucose transporters, hexokinase, pyruvate kinase M2, lactate dehydrogenase A, pyruvate dehydrogenase kinase, fatty acid synthase and glutaminase can enhance the efficacy of common therapeutic agents or overcome resistance to chemotherapy or radiotherapy.
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              Multiple myeloma.

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 March 2015
                2015
                : 10
                : 3
                : e0119857
                Affiliations
                [1 ]Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology NTNU, Trondheim, Norway
                [2 ]PROMEC Core Facility for Proteomics and Metabolomics, Norwegian University of Science and Technology NTNU, Trondheim, Norway
                [3 ]Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
                University of South Alabama, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: KAZ MMLS A. Sarno ONJ GS. Performed the experiments: KAZ MMLS A. Sarno AD SR CY PAA IE. Analyzed the data: KAZ MMLS A. Sarno A. Sharma A. Sundan GS. Contributed reagents/materials/analysis tools: KAZ MMLS A. Sarno A. Sharma A. Sundan CY PAA GS. Wrote the paper: KAZ MMLS A. Sarno GS.

                [¤]

                Current address: Department of Proteomics, The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

                Article
                PONE-D-14-42749
                10.1371/journal.pone.0119857
                4358942
                25769101
                59fe6ec4-2eab-4a71-9296-93d706297a35
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 23 September 2014
                : 16 January 2015
                Page count
                Figures: 5, Tables: 1, Pages: 20
                Funding
                Funding was provided by the Research Council of Norway ( http://www.forskningsradet.no/en/Home_pa​ge/1177315753906), grant no. 183423 and 183432; the Norwegian Cancer Society ( https://kreftforeningen.no/en/), grant no. TS-02-2008-0185; the Cancer Fund at St. Olavs Hospital, Trondheim ( http://www.stolav.no/en/), grant no. 47063403; the Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology (NTNU) ( http://www.ntnu.no/dmf/rad/samorg), grant no. 81133200. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                The proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the identifier PXD001276 ( http://www.ebi.ac.uk/pride/archive/projects/PXD001276) The transcriptomic data have been deposited to the GEO repository with the identifier GSE60970 ( http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE60970).

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