Evidence map›Paper›PMID 29702206›Full record

ReviewBiochimica et biophysica acta. Reviews on cancer2018

Applications of metabolomics to study cancer metabolism.

Akash K Kaushik, Ralph J DeBerardinis

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Reviews on cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.

0numbers the graph read from it
0cells of the map it votes in
102citing 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

102 citing papers in PubMed.

  1. Trial
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  7. Review
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  11. Article
  12. Review
  13. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Approaches and methods to study wildlife cancer.The Journal of animal ecology · 2024
    Review
  18. Article
  19. Review
  20. Review

42 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

2 authors.

Akash K KaushikChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX 75390-8502, United States.
Ralph J DeBerardinisChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd. Dallas, TX 75390-8502, United States. Electronic address: Ralph.DeBerardinis@UTSouthwestern.edu.

Funding

TR&D 3: Imaging Carbohydrate MetabolismP41EB015908 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI MALLOY, CRAIG R · 2012 to 2021
$10.9M
Metabolic Regulators of Tumor Growth and ProgressionR35CA220449 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI RALPH J DEBERARDINIS · 2017 to 2026
$9.4M
Evaluation of the BAP1 tumor suppressor gene in renal cell carcinomaR01CA175754 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI BRUGAROLAS, JAMES · 2014 to 2018
$1.6M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA175754NCI NIH HHS R35 CA220449NIBIB NIH HHS P41 EB015908
6 · The paper itself

Abstract

Reprogrammed metabolism supports tumor growth and provides a potential source of therapeutic targets and disease biomarkers. Mass spectrometry-based metabolomics has emerged as a broadly informative technique for profiling metabolic features associated with specific oncogenotypes, disease progression, therapeutic liabilities and other clinically relevant aspects of tumor biology. In this review, we introduce the applications of metabolomics to study deregulated metabolism and metabolic vulnerabilities in cancer. We provide examples of studies that used metabolomics to discover novel metabolic regulatory mechanisms, including processes that link metabolic alterations with gene expression, protein function, and other aspects of systems biology. Finally, we discuss emerging applications of metabolomics for in vivo isotope tracing and metabolite imaging, both of which hold promise to advance our understanding of the role of metabolic reprogramming in cancer.

Indexed as

MetabolomicsHumansNeoplasmsSystems BiologyAnd metabolite imagingCancer metabolismIsotope tracingMetabolic subtypesMetabolomicsSystems biology

Identifiers

PMID29702206
PMCPMC6193562

What OpenQuestion holds

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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.