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      A small-molecule pan-class I glucose transporter inhibitor reduces cancer cell proliferation in vitro and tumor growth in vivo by targeting glucose-based metabolism

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          Abstract

          Background

          Cancer cells drastically increase the uptake of glucose and glucose metabolism by overexpressing class I glucose transporters (GLUT1-4) to meet their energy and biomass synthesis needs and are very sensitive and vulnerable to glucose deprivation. Although targeting glucose uptake via GLUTs has been an attractive anticancer strategy, the relative anticancer efficacy of multi-GLUT targeting or single GLUT targeting is unclear. Here, we report DRB18, a synthetic small molecule, is a potent anticancer compound whose pan-class I GLUT inhibition is superior to single GLUT targeting.

          Methods

          Glucose uptake and MTT/resazurin assays were used to measure DRB18’s inhibitory activities of glucose transport and cell viability/proliferation in human lung cancer and other cancer cell lines. Four HEK293 cell lines expressing GLUT1-4 individually were used to determine the IC 50 values of DRB18’s inhibitory activity of glucose transport. Docking studies were performed to investigate the potential direct interaction of DRB18 with GLUT1-4. Metabolomics analysis was performed to identify metabolite changes in A549 lung cancer cells treated with DRB18. DRB18 was used to treat A549 tumor-bearing nude mice. The GLUT1 gene was knocked out to determine how the KO of the gene affected tumor growth.

          Results

          DRB18 reduced glucose uptake mediated via each of GLUT1-4 with different IC 50s, which match with the docking glidescores with a correlation coefficient of 0.858. Metabolomics analysis revealed that DRB18 altered energy-related metabolism in A549 cells by changing the abundance of metabolites in glucose-related pathways in vitro and in vivo. DRB18 eventually led to G1/S phase arrest and increased oxidative stress and necrotic cell death. IP injection of DRB18 in A549 tumor-bearing nude mice at 10 mg/kg body weight thrice a week led to a significant reduction in the tumor volume compared with mock-treated tumors. In contrast, the knockout of the GLUT1 gene did not reduce tumor volume.

          Conclusions

          DRB18 is a potent pan-class I GLUT inhibitor in vitro and in vivo in cancer cells. Mechanistically, it is likely to bind the outward open conformation of GLUT1-4, reducing tumor growth through inhibiting GLUT1-4-mediated glucose transport and metabolisms. Pan-class I GLUT inhibition is a better strategy than single GLUT targeting for inhibiting tumor growth.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40170-021-00248-7.

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          Most cited references47

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          SWISS-MODEL: homology modelling of protein structures and complexes

          Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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            The Emerging Hallmarks of Cancer Metabolism.

            Tumorigenesis is dependent on the reprogramming of cellular metabolism as both direct and indirect consequence of oncogenic mutations. A common feature of cancer cell metabolism is the ability to acquire necessary nutrients from a frequently nutrient-poor environment and utilize these nutrients to both maintain viability and build new biomass. The alterations in intracellular and extracellular metabolites that can accompany cancer-associated metabolic reprogramming have profound effects on gene expression, cellular differentiation, and the tumor microenvironment. In this Perspective, we have organized known cancer-associated metabolic changes into six hallmarks: (1) deregulated uptake of glucose and amino acids, (2) use of opportunistic modes of nutrient acquisition, (3) use of glycolysis/TCA cycle intermediates for biosynthesis and NADPH production, (4) increased demand for nitrogen, (5) alterations in metabolite-driven gene regulation, and (6) metabolic interactions with the microenvironment. While few tumors display all six hallmarks, most display several. The specific hallmarks exhibited by an individual tumor may ultimately contribute to better tumor classification and aid in directing treatment.
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              The Warburg Effect: How Does it Benefit Cancer Cells?

              Cancer cells rewire their metabolism to promote growth, survival, proliferation, and long-term maintenance. The common feature of this altered metabolism is the increased glucose uptake and fermentation of glucose to lactate. This phenomenon is observed even in the presence of completely functioning mitochondria and, together, is known as the 'Warburg Effect'. The Warburg Effect has been documented for over 90 years and extensively studied over the past 10 years, with thousands of papers reporting to have established either its causes or its functions. Despite this intense interest, the function of the Warburg Effect remains unclear. Here, we analyze several proposed explanations for the function of Warburg Effect, emphasize their rationale, and discuss their controversies.
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                Author and article information

                Contributors
                chenx@ohio.edu
                Journal
                Cancer Metab
                Cancer Metab
                Cancer & Metabolism
                BioMed Central (London )
                2049-3002
                26 March 2021
                26 March 2021
                2021
                : 9
                : 14
                Affiliations
                [1 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Department of Biological Sciences, , Ohio University, ; Athens, OH 45701 USA
                [2 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Edison Biotechnology Institute, , Ohio University, ; Athens, OH 45701 USA
                [3 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Molecular and Cellular Biology Program, , Ohio University, ; Athens, OH 45701 USA
                [4 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Department of Biomedical Sciences, , Ohio University, ; Athens, OH 45701 USA
                [5 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Department of Chemistry and Biochemistry, , Ohio University, ; Athens, OH 45701 USA
                [6 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Translational Biomedical Sciences Program, , Ohio University, ; Athens, OH 45701 USA
                [7 ]GRID grid.20627.31, ISNI 0000 0001 0668 7841, Edison Biotechnology Institute, , Ohio University, ; 172 Water Tower Drive, Athens, OH 43701 USA
                Author information
                http://orcid.org/0000-0001-9635-4572
                Article
                248
                10.1186/s40170-021-00248-7
                8004435
                33771231
                d561db01-8b03-44e3-ac26-2aeca4ea3586
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 December 2020
                : 3 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: R15 CA242177-01
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                the warburg effect,glycolysis,tca cycle,metabolomics,anticancer therapeutics,docking

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