Evidence map›Paper›PMID 28592486›Full record

ReviewThe Journal of biological chemistry2017

Exploring cancer metabolism using stable isotope-resolved metabolomics (SIRM).

Ronald C Bruntz, Andrew N Lane, Richard M Higashi, Teresa W-M Fan

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
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

67 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Live Metabolomics with NMR.Analytical chemistry · 2026
    Review
  6. Article
  7. Review
  8. NMR-Based Stable Isotope Tracing of Cancer Metabolism.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Tracing the path of disruption:CNS neuroscience & therapeutics · 2024
    Review
  13. Ex VivoBiomolecules · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. The PLOD2/succinate axis regulates the epithelial-mesenchymal plasticity and cancer cell stemness.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Review

7 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

4 authors.

Ronald C BruntzCenter for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506.
Andrew N LaneCenter for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506. Electronic address: andrew.lane@uky.edu.
Richard M HigashiCenter for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506.
Teresa W-M FanCenter for Environmental and Systems Biochemistry, Markey Cancer Center, Lexington, Kentucky 40506; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, Kentucky 40506. Electronic address: twmfan@gmail.com.

Funding

Systems Biochemistry in Lung Cancer: Toward a Mechanistic Understanding of NSCLCP01CA163223 · NCI · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI, FAN, TERESA WHEI-MEI · 2013 to 2017
$6.5M
Integrated Chemoselective and Informatic Platform for Large-Scale MetabolomicsR01ES022191 · NIEHS · UNIVERSITY OF LOUISVILLE · PI FAN, TERESA WHEI-MEI, HIGASHI, RICHARD M · 2012 to 2016
$3.4M
Interdisciplinary Research Training in Cancer BiologyT32CA165990 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers, KATHLEEN L. O'CONNOR · 2013 to 2026
$3.2M
NCI NIH HHS P01 CA163223NCI NIH HHS T32 CA165990NIEHS NIH HHS R01 ES022191
6 · The paper itself

Abstract

Metabolic reprogramming is a hallmark of cancer. The changes in metabolism are adaptive to permit proliferation, survival, and eventually metastasis in a harsh environment. Stable isotope-resolved metabolomics (SIRM) is an approach that uses advanced approaches of NMR and mass spectrometry to analyze the fate of individual atoms from stable isotope-enriched precursors to products to deduce metabolic pathways and networks. The approach can be applied to a wide range of biological systems, including human subjects. This review focuses on the applications of SIRM to cancer metabolism and its use in understanding drug actions.

Indexed as

Energy MetabolismAnimalsAntineoplastic AgentsCarbon IsotopesCellular ReprogrammingDrug Evaluation, PreclinicalFourier AnalysisHumansMagnetic Resonance SpectroscopyMass SpectrometryMetabolomicsNeoplasmsNitrogen IsotopesAntineoplastic AgentsCarbon IsotopesNitrogen Isotopescancerisotopic tracermass spectrometry (MS)metabolismmetabolomicsnuclear magnetic resonance (NMR)

Identifiers

PMID28592486
PMCPMC5512057

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.