ReviewCurrent pharmacology reports2025
Application of Metabolomics in Carcinogenesis and Cancer Prevention by Dietary Phytochemicals.
Review in Current pharmacology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Purpose of Review: In this review article, specific emphasis is on evolution of metabolomics in cancer research, metabolomics workflow, general understanding of liquid chromatography - mass spectrometry (LC-MS) based platform for quantitation of metabolites, their biological interpretation and the application in carcinogenesis and cancer prevention by dietary phytochemicals. Recent Findings: Metabolomics is increasingly becoming a preferred approach for next generation metabolic screening and has profound impact on medical practice. Metabolomics describes the end products of biochemical processes which are greatly influenced by genetic and environmental factors. Metabolic alterations can be linked to potential biochemical reactions/enzymes and their corresponding genes. Thus, these results can be further validated via multi-omics approach including genomics, transcriptomics and proteomics. However, challenges exist within and between omic-domain data integration considering complex biochemical regulation including organism versus tissue versus cellular level processes, epigenetics, transcriptional and post translational modifications. Metabolomics can reflect the steady state or dynamic state of metabolism because metabolites are highly dynamic in space and time. Summary: Metabolomic analysis of biological samples exhibit the possibility to determine mechanism of action of anti-cancer agents, biomarker discovery and impact of genetic alterations.
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Registered trials
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.