Evidence map›Paper›PMID 18628437›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2008

Mathematical modeling of folate metabolism: predicted effects of genetic polymorphisms on mechanisms and biomarkers relevant to carcinogenesis.

Cornelia M Ulrich, Marian Neuhouser, Amy Y Liu, Alanna Boynton, Jesse F Gregory, Barry Shane, S Jill James, Michael C Reed, H Frederik Nijhout

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Personalised nutrition: how far has nutrigenomics progressed?European journal of clinical nutrition · 2013
    Review
  12. Article
  13. Molecular mechanisms underlying the potentially adverse effects of folate.Clinical chemistry and laboratory medicine · 2013
    Review
  14. Mathematical modeling predicts the effect of folate deficiency and excess on cancer-related biomarkers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    Article
  15. Review
  16. Article
  17. Article
  18. Plasma vitamins B2, B6, and B12, and related genetic variants as predictors of colorectal cancer risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2010
    Article
  19. Review
  20. 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

9 authors at 5 institutions in 1 country.

Cornelia M UlrichCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. nulrich@fhcrc.org
Marian Neuhouser
Amy Y Liu
Alanna Boynton
Jesse F Gregory
Barry Shane
S Jill James
Michael C Reed
H Frederik Nijhout
Fred Hutch Cancer Center · USDuke University · USUniversity of Arkansas for Medical Sciences · USUniversity of California, Berkeley · USUniversity of Florida · US

Funding

A Prospective Study of Colorectal Cancer: One-Carbon Metabolism and InflammationR01CA120523 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ULRICH, CORNELIA M · 2008 to 2012
$3.0M
Modeling Folate, One-Carbon Metabolism &DNA MethylationR01CA105437 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ULRICH, CORNELIA M · 2004 to 2007
$914k
NCI NIH HHS R01 CA 105437NCI NIH HHS R01 CA105437NCI NIH HHS R01 CA120523
6 · The paper itself

Abstract

Low-folate status and genetic polymorphisms in folate metabolism have been linked to several cancers. Possible biological mechanisms for this association include effects on purine and thymidine synthesis, DNA methylation, or homocysteine concentrations. The influence of genetic variation in folate metabolism on these putative mechanisms or biomarkers of cancer risk has been largely unexplored. We used a mathematical model that simulates folate metabolism biochemistry to predict (a) the effects of polymorphisms with defined effects on enzyme function (MTHFR and TS) and (b) the effects of potential, as-of-yet-unidentified polymorphisms in a comprehensive set of folate-metabolizing enzymes on biomarkers and mechanisms related to cancer risk. The model suggests that there is substantial robustness in the pathway. Our predictions were consistent with measured effects of known polymorphisms in MTHFR and TS on biomarkers. Polymorphisms that alter enzyme function of FTD, FTS, and MTCH are expected to affect purine synthesis, FTS more so under a low-folate status. In addition, MTCH polymorphisms are predicted to influence thymidine synthesis. Polymorphisms in methyltransferases should affect both methylation rates and thymidylate synthesis. Combinations of polymorphisms in MTHFR, TS, and SHMT are expected to affect nucleotide synthesis in a nonlinear fashion. These investigations provide information on effects of genetic polymorphisms on biomarkers, including those that cannot be measured well, and highlight robustness and sensitivity in this complex biological system with regard to genetic variability. Although the proportional changes in biomarkers of risk with individual polymorphisms are frequently small, they may be quite relevant if present over an individual's lifetime.

Indexed as

Models, TheoreticalPolymorphism, GeneticBiomarkers, TumorDNA MethylationDNA, NeoplasmFolic AcidGenotypeHumansNeoplasmsReproducibility of Results5,11-methenyltetrahydrohomofolateBiomarkers, TumorDNA, NeoplasmFolic Acid

Identifiers

PMID18628437
PMCPMC3912564
OpenAlexW2134643094

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.