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      Reactive metabolite production is a targetable liability of glycolytic metabolism in lung cancer

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          Abstract

          Increased glucose uptake and metabolism is a prominent phenotype of most cancers, but efforts to clinically target this metabolic alteration have been challenging. Here, we present evidence that lactoylglutathione (LGSH), a byproduct of methylglyoxal detoxification, is elevated in both human and murine non-small cell lung cancers (NSCLC). Methylglyoxal is a reactive metabolite byproduct of glycolysis that reacts non-enzymatically with nucleophiles in cells, including basic amino acids, and reduces cellular fitness. Detoxification of methylglyoxal requires reduced glutathione (GSH), which accumulates to high levels in NSCLC relative to normal lung. Ablation of the methylglyoxal detoxification enzyme glyoxalase I (Glo1) potentiates methylglyoxal sensitivity and reduces tumor growth in mice, arguing that targeting pathways involved in detoxification of reactive metabolites is an approach to exploit the consequences of increased glucose metabolism in cancer.

          Abstract

          Glycolysis is elevated in many cancers. In this study, the authors show that lactoylglutathione, a by-product of methylglyoxal produced from increased glycolysis, is elevated in lung cancer in mouse models and humans, arguing reactive metabolite production can be a liability for cancers.

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          Most cited references38

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          Lactate Metabolism in Human Lung Tumors

          Cancer cells consume glucose and secrete lactate in culture. It is unknown whether lactate contributes to energy metabolism in living tumors. We previously reported that human non-small cell lung cancers (NSCLC) oxidize glucose in the tricarboxylic acid (TCA) cycle. Here we show that lactate is also a TCA cycle carbon source for NSCLC. In human NSCLC, evidence of lactate utilization was most apparent in tumors with high 18 fluorodeoxyglucose uptake and aggressive oncological behavior. Infusing human NSCLC patients with 13 C-lactate revealed extensive labeling of TCA cycle metabolites. In mice, deleting monocarboxylate transporter-1 (MCT1) from tumor cells eliminated lactate-dependent metabolite labeling, confirming tumor-cell autonomous lactate uptake. Strikingly, directly comparing lactate and glucose metabolism in vivo indicated that lactate's contribution to the TCA cycle predominates. The data indicate that tumors, including bona fide human NSCLC, can use lactate as a fuel in vivo. Human non-small cell lung cancer preferentially utilizes lactate over glucose to fuel TCA cycle and sustain tumor metabolism in vivo.
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            An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma.

            Dysregulated metabolism is a hallmark of cancer, manifested through alterations in metabolites. We performed metabolomic profiling on 138 matched clear cell renal cell carcinoma (ccRCC)/normal tissue pairs and found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. Tumor progression and metastasis were associated with metabolite increases in glutathione and cysteine/methionine metabolism pathways. We develop an analytic pipeline and visualization tool (metabolograms) to bridge the gap between TCGA transcriptomic profiling and our metabolomic data, which enables us to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome. Lastly, expression profiling was performed on a high-glutathione cluster, which corresponds to a poor-survival subgroup in the ccRCC TCGA cohort.
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              Cell transformation by the superoxide-generating oxidase Mox1.

              Reactive oxygen species (ROS) generated in some non-phagocytic cells are implicated in mitogenic signalling and cancer. Many cancer cells show increased production of ROS, and normal cells exposed to hydrogen peroxide or superoxide show increased proliferation and express growth-related genes. ROS are generated in response to growth factors, and may affect cell growth, for example in vascular smooth-muscle cells. Increased ROS in Ras-transformed fibroblasts correlates with increased mitogenic rate. Here we describe the cloning of mox1, which encodes a homologue of the catalytic subunit of the superoxide-generating NADPH oxidase of phagocytes, gp91phox. mox1 messenger RNA is expressed in colon, prostate, uterus and vascular smooth muscle, but not in peripheral blood leukocytes. In smooth-muscle cells, platelet-derived growth factor induces mox1 mRNA production, while antisense mox1 mRNA decreases superoxide generation and serum-stimulated growth. Overexpression of mox1 in NIH3T3 cells increases superoxide generation and cell growth. Cells expressing mox1 have a transformed appearance, show anchorage-independent growth and produce tumours in athymic mice. These data link ROS production by Mox1 to growth control in non-phagocytic cells.
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                Author and article information

                Contributors
                mvh@mit.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                6 December 2019
                6 December 2019
                2019
                : 10
                : 5604
                Affiliations
                [1 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Koch Institute for Integrative Cancer Research, , Massachusetts Institute of Technology, ; Cambridge, MA 02139 USA
                [2 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Department of Biology, , Massachusetts Institute of Technology, ; Cambridge, MA 02139 USA
                [3 ]GRID grid.66859.34, Broad Institute of MIT and Harvard University, ; Cambridge, MA 02142 USA
                [4 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Children’s Medical Center Research Institute, , University of Texas Southwestern Medical Center, ; Dallas, TX USA
                [5 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Whitehead Institute for Biomedical Research, , Massachusetts Institute of Technology, ; Cambridge, MA 02142 USA
                [6 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Howard Hughes Medical Institute, , University of Texas Southwestern Medical Center, ; Dallas, TX USA
                [7 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Department of Pediatrics and Eugene McDermott Center for Human Growth and Development, , University of Texas Southwestern Medical Center, ; Dallas, TX USA
                [8 ]ISNI 0000 0001 2106 9910, GRID grid.65499.37, Dana-Farber Cancer Institute, ; Boston, MA 02115 USA
                Author information
                http://orcid.org/0000-0002-4236-0229
                http://orcid.org/0000-0002-6166-704X
                http://orcid.org/0000-0002-2886-886X
                http://orcid.org/0000-0001-8259-9245
                http://orcid.org/0000-0003-1787-5084
                http://orcid.org/0000-0002-6702-4192
                Article
                13419
                10.1038/s41467-019-13419-4
                6898239
                31811141
                2cce4997-5fcf-4c26-9fcf-1f53609d45cc
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 August 2019
                : 5 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000054, U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI);
                Award ID: R01CA168653
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                metabolomics,cancer metabolism
                Uncategorized
                metabolomics, cancer metabolism

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