Evidence map›Paper›PMID 24957997›Full record

ArticleMetabolites2013

The future of NMR metabolomics in cancer therapy: towards personalizing treatment and developing targeted drugs?

Marie S A Palmnas, Hans J Vogel

Abstract read
In one paragraph

Article in Metabolites, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  5. Practical Aspects of NMR-Based Metabolomics.Handbook of experimental pharmacology · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. An IntegrativeIranian journal of biotechnology · 2020
    Article
  10. Review
  11. Article
  12. High-Throughput Metabolomics by 1D NMR.Angewandte Chemie (International ed. in English) · 2019
    Review
  13. Article
  14. Response of Cisplatin Resistant Skov-3 Cells to [Pt(Molecules (Basel, Switzerland) · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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.

Marie S A PalmnasDepartments of Biological Sciences and Biochemistry and Molecular Biology, University of Calgary, Calgary Alberta T2N 1N4, Canada. msapalmn@ucalgary.ca.
Hans J VogelDepartments of Biological Sciences and Biochemistry and Molecular Biology, University of Calgary, Calgary Alberta T2N 1N4, Canada. vogel@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been a recent shift in how cancers are defined, where tumors are no longer simply classified by their tissue origin, but also by their molecular characteristics. Furthermore, personalized medicine has become a popular term and it could start to play an important role in future medical care. However, today, a "one size fits all" approach is still the most common form of cancer treatment. In this mini-review paper, we report on the role of nuclear magnetic resonance (NMR) metabolomics in drug development and in personalized medicine. NMR spectroscopy has successfully been used to evaluate current and potential therapies, both single-agents and combination therapies, to analyze toxicology, optimal dose, resistance, sensitivity, and biological mechanisms. It can also provide biological insight on tumor subtypes and their different responses to drugs, and indicate which patients are most likely to experience off-target effects and predict characteristics for treatment efficacy. Identifying pre-treatment metabolic profiles that correlate to these events could significantly improve how we view and treat tumors. We also briefly discuss several targeted cancer drugs that have been studied by metabolomics. We conclude that NMR technology provides a key platform in metabolomics that is well-positioned to play a crucial role in realizing the ultimate goal of better tailored cancer medicine.

Identifiers

PMID24957997
PMCPMC3901278

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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.