Literature DB >> 25847249

In Silico Modeling-based Identification of Glucose Transporter 4 (GLUT4)-selective Inhibitors for Cancer Therapy.

Rama K Mishra1, Changyong Wei2, Richard C Hresko3, Richa Bajpai2, Monique Heitmeier3, Shannon M Matulis2, Ajay K Nooka2, Steven T Rosen4, Paul W Hruz3, Gary E Schiltz1, Mala Shanmugam5.   

Abstract

Tumor cells rely on elevated glucose consumption and metabolism for survival and proliferation. Glucose transporters mediating glucose entry are key proximal rate-limiting checkpoints. Unlike GLUT1 that is highly expressed in cancer and more ubiquitously expressed in normal tissues, GLUT4 exhibits more limited normal expression profiles. We have previously determined that insulin-responsive GLUT4 is constitutively localized on the plasma membrane of myeloma cells. Consequently, suppression of GLUT4 or inhibition of glucose transport with the HIV protease inhibitor ritonavir elicited growth arrest and/or apoptosis in multiple myeloma. GLUT4 inhibition also caused sensitization to metformin in multiple myeloma and chronic lymphocytic leukemia and a number of solid tumors suggesting the broader therapeutic utility of targeting GLUT4. This study sought to identify selective inhibitors of GLUT4 to develop a more potent cancer chemotherapeutic with fewer potential off-target effects. Recently, the crystal structure of GLUT1 in an inward open conformation was reported. Although this is an important achievement, a full understanding of the structural biology of facilitative glucose transport remains elusive. To date, there is no three-dimensional structure for GLUT4. We have generated a homology model for GLUT4 that we utilized to screen for drug-like compounds from a library of 18 million compounds. Despite 68% homology between GLUT1 and GLUT4, our virtual screen identified two potent compounds that were shown to target GLUT4 preferentially over GLUT1 and block glucose transport. Our results strongly bolster the utility of developing GLUT4-selective inhibitors as anti-cancer therapeutics.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

Entities:  

Keywords:  Warburg effect; cancer; glucose transport; glucose transporter type 4 (GLUT4); multiple myeloma

Mesh:

Substances:

Year:  2015        PMID: 25847249      PMCID: PMC4505511          DOI: 10.1074/jbc.M114.628826

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  48 in total

1.  Targeting GLUT1 and the Warburg effect in renal cell carcinoma by chemical synthetic lethality.

Authors:  Denise A Chan; Patrick D Sutphin; Phuong Nguyen; Sandra Turcotte; Edwin W Lai; Alice Banh; Gloria E Reynolds; Jen-Tsan Chi; Jason Wu; David E Solow-Cordero; Muriel Bonnet; Jack U Flanagan; Donna M Bouley; Edward E Graves; William A Denny; Michael P Hay; Amato J Giaccia
Journal:  Sci Transl Med       Date:  2011-08-03       Impact factor: 17.956

Review 2.  Efficacy and safety of canagliflozin in subjects with type 2 diabetes: systematic review and meta-analysis.

Authors:  Xu-Ping Yang; Dan Lai; Xiao-Yan Zhong; Hong-Ping Shen; Yi-Lan Huang
Journal:  Eur J Clin Pharmacol       Date:  2014-08-16       Impact factor: 2.953

3.  Isoform-selective inhibition of facilitative glucose transporters: elucidation of the molecular mechanism of HIV protease inhibitor binding.

Authors:  Richard C Hresko; Thomas E Kraft; Anatoly Tzekov; Scott A Wildman; Paul W Hruz
Journal:  J Biol Chem       Date:  2014-04-04       Impact factor: 5.157

4.  The mechanism of insulin resistance caused by HIV protease inhibitor therapy.

Authors:  H Murata; P W Hruz; M Mueckler
Journal:  J Biol Chem       Date:  2000-07-07       Impact factor: 5.157

Review 5.  New treatments for multiple myeloma.

Authors:  Paul G Richardson; Robert Schlossman; Teru Hideshima; Kenneth C Anderson
Journal:  Oncology (Williston Park)       Date:  2005-12       Impact factor: 2.990

6.  The prognostic value of F-18 fluorodeoxyglucose bone marrow uptake in patients with recent diagnosis of multiple myeloma: a comparative study with Tc-99m sestamibi.

Authors:  Massimo Castellani; Marco Carletto; Luca Baldini; Rossella Calori; Virgilio Longari; Davide Soligo; Luca Dellavedova; Paolo Gerundini
Journal:  Clin Nucl Med       Date:  2010-01       Impact factor: 7.794

7.  Multiple myeloma exhibits novel dependence on GLUT4, GLUT8, and GLUT11: implications for glucose transporter-directed therapy.

Authors:  Samuel K McBrayer; Javelin C Cheng; Seema Singhal; Nancy L Krett; Steven T Rosen; Mala Shanmugam
Journal:  Blood       Date:  2012-03-27       Impact factor: 22.113

8.  Identification of a novel gene encoding an insulin-responsive glucose transporter protein.

Authors:  M J Birnbaum
Journal:  Cell       Date:  1989-04-21       Impact factor: 41.582

9.  A double leucine within the GLUT4 glucose transporter COOH-terminal domain functions as an endocytosis signal.

Authors:  S Corvera; A Chawla; R Chakrabarti; M Joly; J Buxton; M P Czech
Journal:  J Cell Biol       Date:  1994-08       Impact factor: 10.539

10.  MolProbity: all-atom structure validation for macromolecular crystallography.

Authors:  Vincent B Chen; W Bryan Arendall; Jeffrey J Headd; Daniel A Keedy; Robert M Immormino; Gary J Kapral; Laura W Murray; Jane S Richardson; David C Richardson
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-12-21
View more
  24 in total

1.  Development of GLUT4-selective antagonists for multiple myeloma therapy.

Authors:  Changyong Wei; Richa Bajpai; Horrick Sharma; Monique Heitmeier; Atul D Jain; Shannon M Matulis; Ajay K Nooka; Rama K Mishra; Paul W Hruz; Gary E Schiltz; Mala Shanmugam
Journal:  Eur J Med Chem       Date:  2017-08-14       Impact factor: 6.514

2.  Identification of TDP-43 as an oncogene in melanoma and its function during melanoma pathogenesis.

Authors:  Qinghai Zeng; Ke Cao; Rui Liu; Jinhua Huang; Kun Xia; Jintian Tang; Xiang Chen; Ming Zhou; Huiqing Xie; Jianda Zhou
Journal:  Cancer Biol Ther       Date:  2016-10-27       Impact factor: 4.742

3.  Discovery of novel Mnk inhibitors using mutation-based induced-fit virtual high-throughput screening.

Authors:  Rama K Mishra; Matthew R Clutter; Gavin T Blyth; Ewa M Kosciuczuk; Amy Z Blackburn; Elspeth M Beauchamp; Gary E Schiltz; Leonidas C Platanias
Journal:  Chem Biol Drug Des       Date:  2019-08-04       Impact factor: 2.817

4.  Interactions between HIV protease inhibitor ritonavir and human DNA repair enzyme ALKBH2: a molecular dynamics simulation study.

Authors:  Unnikrishnan Paruthiyezhath Shaji; Nikhil Tuti; Susmita Das; Roy Anindya; Monisha Mohan
Journal:  Mol Divers       Date:  2022-05-11       Impact factor: 2.943

5.  ID-Checker Technology for the Highly Selective Macroscale Delivery of Anticancer Agents to the Cancer Cells.

Authors:  Keum-Soo Song; Satish Balasaheb Nimse; Junghoon Kim; Shrikant Dashrath Warkad; Taisun Kim
Journal:  J Med Chem       Date:  2022-10-04       Impact factor: 8.039

Review 6.  The Route of the Malignant Plasma Cell in Its Survival Niche: Exploring "Multiple Myelomas".

Authors:  Antonio Giovanni Solimando; Matteo Claudio Da Vià; Niccolò Bolli; Torsten Steinbrunn
Journal:  Cancers (Basel)       Date:  2022-07-04       Impact factor: 6.575

Review 7.  In silico frameworks for systematic pre-clinical screening of potential anti-leukemia therapeutics.

Authors:  Matthew H Ung; Frederick S Varn; Chao Cheng
Journal:  Expert Opin Drug Discov       Date:  2016-10-11       Impact factor: 6.098

8.  NK cell count and glucotransporter 4 (GLUT4) expression in subjects with type 2 diabetes and colon cancer.

Authors:  Paweł Piątkiewicz; Małgorzata Bernat-Karpińska; Tomasz Miłek; Michał Rabijewski; Elżbieta Rosiak
Journal:  Diabetol Metab Syndr       Date:  2016-06-13       Impact factor: 3.320

9.  Identification of Compounds That Decrease Glioblastoma Growth and Glucose Uptake in Vitro.

Authors:  Catherine J Landis; Sixue Zhang; Gloria A Benavides; Sarah E Scott; Yanjie Li; Matthew Redmann; Anh Nhat Tran; Arphaxad Otamias; Victor Darley-Usmar; Marek Napierala; Jianhua Zhang; Corinne Elizabeth Augelli-Szafran; Wei Zhang; Anita B Hjelmeland
Journal:  ACS Chem Biol       Date:  2018-06-15       Impact factor: 5.100

10.  Targeting glutamine metabolism in multiple myeloma enhances BIM binding to BCL-2 eliciting synthetic lethality to venetoclax.

Authors:  R Bajpai; S M Matulis; C Wei; A K Nooka; H E Von Hollen; S Lonial; L H Boise; M Shanmugam
Journal:  Oncogene       Date:  2015-12-07       Impact factor: 9.867

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.