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      Combined deletion of Glut1 and Glut3 impairs lung adenocarcinoma growth

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          Abstract

          Glucose utilization increases in tumors, a metabolic process that is observed clinically by 18F-fluorodeoxyglucose positron emission tomography ( 18F-FDG-PET). However, is increased glucose uptake important for tumor cells, and which transporters are implicated in vivo? In a genetically-engineered mouse model of lung adenocarcinoma, we show that the deletion of only one highly expressed glucose transporter, Glut1 or Glut3, in cancer cells does not impair tumor growth, whereas their combined loss diminishes tumor development. 18F-FDG-PET analyses of tumors demonstrate that Glut1 and Glut3 loss decreases glucose uptake, which is mainly dependent on Glut1. Using 13C-glucose tracing with correlated nanoscale secondary ion mass spectrometry (NanoSIMS) and electron microscopy, we also report the presence of lamellar body-like organelles in tumor cells accumulating glucose-derived biomass, depending partially on Glut1. Our results demonstrate the requirement for two glucose transporters in lung adenocarcinoma, the dual blockade of which could reach therapeutic responses not achieved by individual targeting.

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          Most cited references11

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          Keap1 loss promotes Kras-driven lung cancer and results in a dependence on glutaminolysis

          Treating KRAS-mutant lung adenocarcinoma (LUAD) remains a major challenge in cancer treatment given the difficulties associated with directly inhibiting the KRAS oncoprotein 1 . One approach to addressing this challenge is to define frequently co-occurring mutations with KRAS, which themselves may lead to therapeutic vulnerabilities in tumors. Approximately 20% of KRAS-mutant LUAD tumors carry loss-of-function (LOF) mutations in Kelch-like ECH-associated protein 1 (KEAP1) 2-4 , a negative regulator of nuclear factor erythroid 2-like 2 (NFE2L2; hereafter NRF2), which is the master transcriptional regulator of the endogenous antioxidant response 5-10 . The high frequency of mutations in KEAP1 suggests an important role for the oxidative stress response in lung tumorigenesis. Using a CRISPR/Cas9-based approach in a mouse model of Kras-driven LUAD we examined the effects of Keap1 loss in lung cancer progression. We show that loss of Keap1 hyper-activates Nrf2 and promotes Kras-driven LUAD. Combining CRISPR/Cas9-based genetic screening and metabolomic analyses, we show that Keap1/Nrf2-mutant cancers are dependent on increased glutaminolysis, and this property can be therapeutically exploited through the pharmacological inhibition of glutaminase. Finally, we provide a rationale for sub-stratification of human lung cancer patients with KRAS-KEAP1 or -NRF2-mutant tumors as likely to respond to glutaminase inhibition.
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            Autophagy is required for glucose homeostasis and lung tumor maintenance.

            Macroautophagy (autophagy hereafter) recycles intracellular components to sustain mitochondrial metabolism that promotes the growth, stress tolerance, and malignancy of lung cancers, suggesting that autophagy inhibition may have antitumor activity. To assess the functional significance of autophagy in both normal and tumor tissue, we conditionally deleted the essential autophagy gene, autophagy related 7 (Atg7), throughout adult mice. Here, we report that systemic ATG7 ablation caused susceptibility to infection and neurodegeneration that limited survival to 2 to 3 months. Moreover, upon fasting, autophagy-deficient mice suffered fatal hypoglycemia. Prior autophagy ablation did not alter the efficiency of non-small cell lung cancer (NSCLC) initiation by activation of oncogenic Kras(G12D) and deletion of the Trp53 tumor suppressor. Acute autophagy ablation in mice with preexisting NSCLC, however, blocked tumor growth, promoted tumor cell death, and generated more benign disease (oncocytomas). This antitumor activity occurred before destruction of normal tissues, suggesting that acute autophagy inhibition may be therapeutically beneficial in cancer. We systemically ablated cellular self-cannibalization by autophagy in adult mice and determined that it is dispensable for short-term survival, but required to prevent fatal hypoglycemia and cachexia during fasting, delineating a new role for autophagy in metabolism. Importantly, acute, systemic autophagy ablation was selectively destructive to established tumors compared with normal tissues, thereby providing the preclinical evidence that strategies to inhibit autophagy may be therapeutically advantageous for RAS-driven cancers. ©2014 American Association for Cancer Research.
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              Look@NanoSIMS--a tool for the analysis of nanoSIMS data in environmental microbiology.

              We describe an open-source freeware programme for high throughput analysis of nanoSIMS (nanometre-scale secondary ion mass spectrometry) data. The programme implements basic data processing and analytical functions, including display and drift-corrected accumulation of scanned planes, interactive and semi-automated definition of regions of interest (ROIs), and export of the ROIs' elemental and isotopic composition in graphical and text-based formats. Additionally, the programme offers new functions that were custom-designed to address the needs of environmental microbiologists. Specifically, it allows manual and automated classification of ROIs based on the information that is derived either from the nanoSIMS dataset itself (e.g. from labelling achieved by halogen in situ hybridization) or is provided externally (e.g. as a fluorescence in situ hybridization image). Moreover, by implementing post-processing routines coupled to built-in statistical tools, the programme allows rapid synthesis and comparative analysis of results from many different datasets. After validation of the programme, we illustrate how these new processing and analytical functions increase flexibility, efficiency and depth of the nanoSIMS data analysis. Through its custom-made and open-source design, the programme provides an efficient, reliable and easily expandable tool that can help a growing community of environmental microbiologists and researchers from other disciplines process and analyse their nanoSIMS data. © 2012 Society for Applied Microbiology and Blackwell Publishing Ltd.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                23 June 2020
                2020
                : 9
                : e53618
                Affiliations
                [1 ]Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [2 ]Swiss Cancer Center Léman LausanneSwitzerland
                [3 ]Bioinformatics Core Facility, Swiss Institute of Bioinformatics LausanneSwitzerland
                [4 ]Laboratory for Biological Geochemistry, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [5 ]Institute of Animal Pathology (COMPATH), University of Bern, CH-3012 Bern, and Histology Core Facility, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [6 ]Laboratory for Functional and Metabolic Imaging (LIFMET), Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [7 ]Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [8 ]Institute of Pathology, University of Bern BernSwitzerland
                [9 ]BioEM Facility, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne LausanneSwitzerland
                [10 ]Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center NashvilleUnited States
                [11 ]Fraternal Order of Eagles Diabetes Research Center and Division of Endocrinology and Metabolism, Carver College of Medicine, University of Iowa Iowa CityUnited States
                [12 ]Center for Advanced Surface Analysis, Faculty of Geosciences and Environment, University of Lausanne LausanneSwitzerland
                Massachusetts Institute of Technology United States
                The Wistar Institute United States
                Massachusetts Institute of Technology United States
                Author information
                http://orcid.org/0000-0002-2956-9052
                http://orcid.org/0000-0001-5290-0738
                https://orcid.org/0000-0002-0899-2230
                Article
                53618
                10.7554/eLife.53618
                7311173
                32571479
                781675e9-6170-45f2-b435-3c0fd5368f89
                © 2020, Contat et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 14 November 2019
                : 05 June 2020
                Funding
                Funded by: Swiss Cancer Research Foundation;
                Award ID: KFS-3681-08-2015-R
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001711, Swiss National Science Foundation;
                Award ID: PP00P3_133661
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001711, Swiss National Science Foundation;
                Award ID: PP00P3_157527
                Award Recipient :
                Funded by: Anna Fuller Fund;
                Award Recipient :
                Funded by: Emma Muschamp Foundation;
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Short Report
                Cancer Biology
                Custom metadata
                In lung adenocarcinoma, deleting one glucose transporter, whether it is Glut1 or Glut3 is insufficient, whereas their dual deletion reduces tumor growth.

                Life sciences
                genetically engineered mouse model of cancer,glucose transporters,lamellar bodies,lung adenocarcinoma,nanosims,human,mouse

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