Evidence map›Paper›PMID 30678289›Full record

ReviewMetabolites2019

HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer.

Mikheil Gogiashvili, Jessica Nowacki, Roland Hergenröder, Jan G Hengstler, Jörg Lambert, Karolina Edlund

Abstract readReview
In one paragraph

Review in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. NMR in biomedicine · 2026
    Article
  4. Article
  5. Article
  6. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Metabolomics in Cell Biology.Handbook of experimental pharmacology · 2023
    Article
  13. Article
  14. Article
  15. Review
  16. Grading of endometrial cancer usingScientific reports · 2021
    Article
  17. Article
  18. Review
  19. Review
  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

6 authors.

Mikheil GogiashviliLeibniz Institut für Analytische Wissenschaften, ISAS, e.V., 44139 Dortmund, Germany. mikheil.gogiashvili@isas.de.
Jessica NowackiLeibniz Institut für Analytische Wissenschaften, ISAS, e.V., 44139 Dortmund, Germany. jessica.nowacki@tu-dortmund.de.
Roland HergenröderLeibniz Institut für Analytische Wissenschaften, ISAS, e.V., 44139 Dortmund, Germany. roland.hergenroeder@isas.de.
Jan G HengstlerLeibniz Research Centre for Working Environment and Human Factors (IfADo), 44139 Dortmund, Germany. Hengstler@ifado.de.
Jörg LambertLeibniz Institut für Analytische Wissenschaften, ISAS, e.V., 44139 Dortmund, Germany. joerg.lambert@isas.de.
Karolina EdlundLeibniz Research Centre for Working Environment and Human Factors (IfADo), 44139 Dortmund, Germany. Edlund@ifado.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis - including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods - and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters.

Indexed as

breast cancerHR MASmetabolomicsNMR

Identifiers

PMID30678289
PMCPMC6410210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.