Evidence map›Paper›PMID 42485531›Full record

ReviewJournal of food and drug analysis2026

Metabolomics in precision medicine: Application and prospect in cancer research.

Ming-Shi Shiao

Abstract readReview
In one paragraph

Review in Journal of food and drug analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ming-Shi ShiaoDepartment of Biomedical Sciences, Chang Gung University, Taoyuan 333, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is the most recent and final discipline among the post-genomic, multiomics fields. It encompasses key technologies in systems biology, providing an overview of low-molecular-weight metabolites while examining disturbances to offer pathophysiological explanations. The two key analytical tools in metabolomics are nuclear magnetic resonance spectroscopy and mass spectrometry, which includes gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. Metabolomic research relies on a three-stage data generation process: the first stage involves precise analytical chemistry to produce data; the second stage employs multivariate statistical analysis; and the last stage uses big data as a reference for comparison to establish biochemical, metabolic, and pathophysiological correlations, thereby providing possible interpretations. The initiative of precision medicine starts with cancer as the first disease target. This review discusses and illustrates the application of metabolomics in precision medicine, choosing two types of cancer as example. Warburg effect and metabolic reprogramming are particularly discussed. By providing global, top-down, and less biased information, metabolomics enables precision medicine.

Indexed as

MetabolomicsNeoplasmsPrecision MedicineAnimalsHumansMagnetic Resonance SpectroscopyMultiomics

Identifiers

PMID42485531
PMCPMC13391008

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.