Evidence map›Paper›PMID 24910810›Full record

ArticleCurrent nutrition reports2012

Nutrigenomics and Cancer Prevention.

Holly L Nicastro, Elaine B Trujillo, John A Milner

Abstract read
In one paragraph

Article in Current nutrition reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Nutritional Genomics and Cancer Prevention.Cancer treatment and research · 2024
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
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

3 authors.

Holly L NicastroCancer Prevention Fellowship Program, Center for Cancer Training, National Cancer Institute, 6130 Executive Boulevard, MSC 7328, Bethesda, MD 20892-7328, USA.
Elaine B TrujilloNutritional Science Research Group, Division of Cancer Prevention, National Cancer Institute, 6130 Executive Boulevard, MSC 7328, Bethesda, MD 20892-7328, USA.
John A MilnerNutritional Science Research Group, Division of Cancer Prevention, National Cancer Institute, 6130 Executive Boulevard, MSC 7328, Bethesda, MD 20892-7328, USA.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Mounting evidence continues to point to dietary habits as a modifier of cancer risk and tumor behavior; although it is clear that considerable variability occurs across studies. While genetic public health messages can be developed, the use of mean values may result in underexposure to some essential and nonessential food components, yet precipitate overexposure to nutrients. Undeniably, inconsistencies in the literature may reflect variation in timing of exposures to specific dietary constituents, interactions with the food matrix, processing technologies, or the genomic variation among individuals, which can influence absorption, metabolism, and/or the molecular target. Inter-individual variability in genetics, epigenetics, transcriptomics, proteomics, metabolomics, or microbiomics can influence the magnitude and direction of response to bioactive food components, as briefly reviewed in this article. Unquestionably, understanding nutrigenomics holds promise to reveal those who will benefit most from dietary interventions plus identify any who might be placed at risk due to overexposures.

Indexed as

Bioactive food componentsCancerCancer preventionDietEpigeneticsMetabolomicsMicrobiomicsNutrigenomicsProteomicsTranscriptomics

Identifiers

PMID24910810
PMCPMC4047824

What OpenQuestion holds

Textmetadata
LicenceTDM
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.