Evidence map›Paper›PMID 25847249›Full record

ArticleThe Journal of biological chemistry2015

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

Rama K Mishra, Changyong Wei, Richard C Hresko, Richa Bajpai, Monique Heitmeier, Shannon M Matulis, Ajay K Nooka, Steven T Rosen, Paul W Hruz, Gary E Schiltz and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 69 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Rama K MishraFrom the Center for Molecular Innovation and Drug Discovery, Northwestern University, Evanston, Illinois 60208.
Changyong Weithe Department of Hematology and Medical Oncology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Richard C Hreskothe Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110.
Richa Bajpaithe Department of Hematology and Medical Oncology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Monique Heitmeierthe Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110.
Shannon M Matulisthe Department of Hematology and Medical Oncology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Ajay K Nookathe Department of Hematology and Medical Oncology, School of Medicine, Emory University, Atlanta, Georgia 30322.
Steven T Rosenthe City of Hope, Duarte, California 91010, and.
Paul W Hruzthe Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri 63110.
Gary E SchiltzFrom the Center for Molecular Innovation and Drug Discovery, Northwestern University, Evanston, Illinois 60208.
Mala Shanmugamthe Department of Hematology and Medical Oncology, School of Medicine, Emory University, Atlanta, Georgia 30322 mala.shan@emory.edu.
Emory University · USWashington University in St. Louis · USNorthwestern University · USCity Of Hope National Medical Center · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
NCI NIH HHS P30 CA060553
6 · The paper itself

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.

Indexed as

Drug DiscoveryAnimalsAntineoplastic AgentsComputer SimulationDatabases, PharmaceuticalEnzyme InhibitorsGlucoseGlucose Transporter Type 1Glucose Transporter Type 4HumansMiceModels, MolecularNeoplasmsProtein ConformationSmall Molecule LibrariesAntineoplastic AgentsEnzyme InhibitorsGlucoseGlucose Transporter Type 1Glucose Transporter Type 4Small Molecule Librariescancerglucose transportglucose transporter type 4 (GLUT4)multiple myelomaWarburg effect

Identifiers

PMID25847249
PMCPMC4505511
OpenAlexW1549007983

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.