Evidence map›Paper›PMID 27379200›Full record

ArticleFrontiers in oncology2016

(13)C MRS and LC-MS Flux Analysis of Tumor Intermediary Metabolism.

Alexander A Shestov, Seung-Cheol Lee, Kavindra Nath, Lili Guo, David S Nelson, Jeffrey C Roman, Dennis B Leeper, Mariusz A Wasik, Ian A Blair, Jerry D Glickson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Analytical Methods for Mass Spectrometry-Based Metabolomics Studies.Advances in experimental medicine and biology · 2026
    Review
  2. Article
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  6. Non-Hodgkin Lymphoma Metabolism.Advances in experimental medicine and biology · 2021
    Article
  7. Tissue Imaging and Quantification Relying on Endogenous Contrast.Advances in experimental medicine and biology · 2021
    Review
  8. Tracer-Based Cancer Metabolomic Analysis.Advances in experimental medicine and biology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Drug repurposing for the treatment of glioblastoma multiforme.Journal of experimental & clinical cancer research : CR · 2017
    Review
  15. Review
  16. Review
  17. Mechanism of antineoplastic activity of lonidamine.Biochimica et biophysica acta · 2016
    Review
  18. Article
  19. Review
  20. Non-Hodgkin Lymphoma Metabolism.Advances in experimental medicine and biology
    Review
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

10 authors at 3 institutions in 1 country.

Alexander A ShestovLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Seung-Cheol LeeLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Kavindra NathLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Lili GuoDepartment of Systems Pharmacology and Translational Therapeutics, Center for Cancer Pharmacology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
David S NelsonLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Jeffrey C RomanLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Dennis B LeeperDepartment of Radiation Oncology, Thomas Jefferson University , Philadelphia, PA , USA.
Mariusz A WasikLaboratory Medicine, Department of Pathology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Ian A BlairDepartment of Systems Pharmacology and Translational Therapeutics, Center for Cancer Pharmacology, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA.
Jerry D GlicksonLaboratory of Molecular Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USThomas Jefferson University · USTranslational Therapeutics (United States) · US

Funding

Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Rebecca A Simmons · 2006 to 2026
$35.3M
Systemic Chemotherapy of Melanoma: NMR Studies of Lonidamine & N-Mustard ActivityR01CA129544 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GLICKSON, JERRY D · 2009 to 2016
$3.2M
Mechanism of Activity of LonidamineR01CA172820 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GLICKSON, JERRY D · 2013 to 2017
$2.8M
NCI NIH HHS R01 CA129544NCI NIH HHS R01 CA172820NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

We present the first validated metabolic network model for analysis of flux through key pathways of tumor intermediary metabolism, including glycolysis, the oxidative and non-oxidative arms of the pentose pyrophosphate shunt, the TCA cycle as well as its anaplerotic pathways, pyruvate-malate shuttling, glutaminolysis, and fatty acid biosynthesis and oxidation. The model that is called Bonded Cumomer Analysis for application to (13)C magnetic resonance spectroscopy ((13)C MRS) data and Fragmented Cumomer Analysis for mass spectrometric data is a refined and efficient form of isotopomer analysis that can readily be expanded to incorporate glycogen, phospholipid, and other pathways thereby encompassing all the key pathways of tumor intermediary metabolism. Validation was achieved by demonstrating agreement of experimental measurements of the metabolic rates of oxygen consumption, glucose consumption, lactate production, and glutamate pool size with independent measurements of these parameters in cultured human DB-1 melanoma cells. These cumomer models have been applied to studies of DB-1 melanoma and DLCL2 human diffuse large B-cell lymphoma cells in culture and as xenografts in nude mice at 9.4 T. The latter studies demonstrate the potential translation of these methods to in situ studies of human tumor metabolism by MRS with stable (13)C isotopically labeled substrates on instruments operating at high magnetic fields (≥7 T). The melanoma studies indicate that this tumor line obtains 51% of its ATP by mitochondrial metabolism and 49% by glycolytic metabolism under both euglycemic (5 mM glucose) and hyperglycemic conditions (26 mM glucose). While a high level of glutamine uptake is detected corresponding to ~50% of TCA cycle flux under hyperglycemic conditions, and ~100% of TCA cycle flux under euglycemic conditions, glutaminolysis flux and its contributions to ATP synthesis were very small. Studies of human lymphoma cells demonstrated that inhibition of mammalian target of rapamycin (mTOR) signaling produced changes in flux through the glycolytic, pentose shunt, and TCA cycle pathways that were evident within 8 h of treatment and increased at 24 and 48 h. Lactate was demonstrated to be a suitable biomarker of mTOR inhibition that could readily be monitored by (1)H MRS and perhaps also by FDG-PET and hyperpolarized (13)C MRS methods.

Indexed as

13C liquid chromatography-mass spectrometry13C magnetic resonance spectroscopycancer metabolismisotopolomeisotopomermetabolic flux analysismetabolic modelingsensitivity analysis

Identifiers

PMID27379200
PMCPMC4908130
OpenAlexW2440640758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.