Evidence map›Paper›PMID 28918937›Full record

ArticleCell metabolism2017

A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product.

Maria V Liberti, Ziwei Dai, Suzanne E Wardell, Joshua A Baccile, Xiaojing Liu, Xia Gao, Robert Baldi, Mahya Mehrmohamadi, Marc O Johnson, Neel S Madhukar and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed
7.7field-weighted citation impact, top 1% 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

120 citing papers in PubMed, 197 citations in OpenAlex.

  1. Article
  2. Review
  3. The return of metabolism: biochemistry and physiology of glycolysis.Biological reviews of the Cambridge Philosophical Society · 2026
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  11. A Covalent PFKL Activator Suppresses Tumor Growth.bioRxiv : the preprint server for biology · 2025
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  13. Evaluation ofFood science & nutrition · 2025
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  14. Review
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  17. SMC4 Promotes Prostate Cancer Cell Proliferation and Metastasis via the Rheb/mTOR Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
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  20. Article

60 more citing papers are in PubMed but not listed here.

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

17 authors at 6 institutions in 1 country.

Maria V LibertiDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
Ziwei DaiDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Suzanne E WardellDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Joshua A BaccileBoyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA.
Xiaojing LiuDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Xia GaoDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Robert BaldiDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Mahya MehrmohamadiDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
Marc O JohnsonDepartment of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Neel S MadhukarDepartment of Physiology and Biophysics, Meyer Cancer Center, Institute for Precision Medicine and Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Alexander A ShestovMolecular Imaging and Metabolomics Lab, Radiology Department, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Iok I Christine ChioCold Spring Harbor Laboratory, Lustgarten Foundation Pancreatic Cancer Research Laboratory, Cold Spring Harbor, NY 11724, USA.
Olivier ElementoDepartment of Physiology and Biophysics, Meyer Cancer Center, Institute for Precision Medicine and Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
Jeffrey C RathmellDepartment of Pathology, Microbiology, and Immunology, Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Frank C SchroederBoyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853, USA.
Donald P McDonnellDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA.
Jason W LocasaleDepartment of Pharmacology and Cancer Biology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: jason.locasale@duke.edu.
Duke University · USCornell University · USVanderbilt University Medical Center · USCold Spring Harbor Laboratory · USUniversity of Pennsylvania · USWeill Cornell Medicine · US

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
PREDOCTORAL TRAINING IN CELLULAR AND MOLECULAR BIOLOGYT32GM007273 · NIGMS · CORNELL UNIVERSITY ITHACA · PI BRETSCHER, ANTHONY P. · 1985 to 2019
$11.6M
Pharmacological Sciences Training ProgramT32GM007105 · NIGMS · DUKE UNIVERSITY · PI KUHN, CYNTHIA M · 1985 to 2019
$9.0M
CHEMISTRY OF BIOLOGICAL SYSTEMST32GM008500 · NIGMS · CORNELL UNIVERSITY ITHACA · PI LIN, HENING · 1996 to 2020
$5.4M
Exploiting metabolic vulnerabilities of CD4 T cell subsets to control inflammatory diseaseR01DK105550 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey C Rathmell · 2015 to 2026
$4.7M
Targeting TH17 cell metabolism in steroid resistanceR01HL136664 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI NEWCOMB, DAWN C, RATHMELL, JEFFREY C. · 2017 to 2024
$4.2M
Dietary methionine and cancerR01CA193256 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W. · 2015 to 2023
$3.1M
The role of ERRalpha/PGC-1 in disease pathogenesisR01CA174643 · NCI · DUKE UNIVERSITY · PI MCDONNELL, DONALD P · 2013 to 2017
$1.6M
Understanding metabolic flux and the control of mammalian cell growthR00CA168997 · NCI · DUKE UNIVERSITY · PI LOCASALE, JASON W. · 2013 to 2015
$695k
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
Characterization of the functions of one-carbon metabolism across human cancersK00CA212457 · NCI · STANFORD UNIVERSITY · PI MEHRMOHAMADI, MAHYA · 2017 to 2019
$228k
Metabolic and Genetic Heterogeneity in CancerF99CA222986 · NCI · CORNELL UNIVERSITY · PI LIBERTI, MARIA V · 2017 to 2018
$83k
NCI NIH HHS F99 CA222986NCI NIH HHS K00 CA212457NCI NIH HHS R00 CA168997NCI NIH HHS R01 CA174643NCI NIH HHS R01 CA193256NHLBI NIH HHS R01 HL136664NIDDK NIH HHS P30 DK058404NIDDK NIH HHS R01 DK105550NIGMS NIH HHS T32 GM007105NIGMS NIH HHS T32 GM007273NIGMS NIH HHS T32 GM008500NIH HHS S10 OD018164
6 · The paper itself

Abstract

Targeted cancer therapies that use genetics are successful, but principles for selectively targeting tumor metabolism that is also dependent on the environment remain unknown. We now show that differences in rate-controlling enzymes during the Warburg effect (WE), the most prominent hallmark of cancer cell metabolism, can be used to predict a response to targeting glucose metabolism. We establish a natural product, koningic acid (KA), to be a selective inhibitor of GAPDH, an enzyme we characterize to have differential control properties over metabolism during the WE. With machine learning and integrated pharmacogenomics and metabolomics, we demonstrate that KA efficacy is not determined by the status of individual genes, but by the quantitative extent of the WE, leading to a therapeutic window in vivo. Thus, the basis of targeting the WE can be encoded by molecular principles that extend beyond the status of individual genes.

Indexed as

AnimalsCell Line, TumorEnzyme InhibitorsGlucoseGlyceraldehyde-3-Phosphate DehydrogenasesGlycolysisHumansMachine LearningMetabolic Flux AnalysisMetabolomicsMice, Inbred C57BLModels, BiologicalMolecular Targeted TherapyNeoplasmsSesquiterpenesSystems BiologyEnzyme InhibitorsGlucoseGlyceraldehyde-3-Phosphate Dehydrogenasesheptelidic acidSesquiterpenescancer metabolismglucose metabolismmetabolic control analysismetabolic flux analysismetabolomicsnatural productpharmacogenomicsprecision medicinesystems biologyWarburg effect

Identifiers

PMID28918937
PMCPMC5629112
OpenAlexW2755085647

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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.