Evidence map›Paper›PMID 23372658›Full record

ArticlePloS one2013

Investigating multiple candidate genes and nutrients in the folate metabolism pathway to detect genetic and nutritional risk factors for lung cancer.

Michael D Swartz, Christine B Peterson, Philip J Lupo, Xifeng Wu, Michele R Forman, Margaret R Spitz, Ladia M Hernandez, Marina Vannucci, Sanjay Shete

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  10. Oncotarget · 2017
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  11. Investigation ofOncotarget · 2017
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  17. Polymorphisms in the MTHFR gene are associated with breast cancer risk and prognosis in a Chinese population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  18. Article
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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 3 institutions in 1 country.

Michael D SwartzDivision of Biostatistics, University of Texas School of Public Health, Houston, Texas, United States of America. Michael.D.Swartz@uth.tmc.edu
Christine B Peterson
Philip J Lupo
Xifeng Wu
Michele R Forman
Margaret R Spitz
Ladia M Hernandez
Marina Vannucci
Sanjay Shete
The University of Texas MD Anderson Cancer Center · USRice University · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Training Program in Biostatistics for Cancer ResearchT32CA096520 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK, YUAN, YING · 2003 to 2023
$4.5M
Bayesian Hierarchical Risk Models: Nutrition, Genes, & Environment InteractionsK07CA123109 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SWARTZ, MICHAEL D · 2007 to 2011
$659k
A Novel Bayesian Model Averaging Approach for Genome Wide Association StudiesR03CA141998 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SWARTZ, MICHAEL D · 2009 to 2010
$154k
NCI NIH HHS K07 CA123109NCI NIH HHS K07-CA 123109NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA55679NCI NIH HHS R03 CA141998NCI NIH HHS T32 CA096520NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

purposeFolate metabolism, with its importance to DNA repair, provides a promising region for genetic investigation of lung cancer risk. This project investigates genes (MTHFR, MTR, MTRR, CBS, SHMT1, TYMS), folate metabolism related nutrients (B vitamins, methionine, choline, and betaine) and their gene-nutrient interactions.

methodsWe analyzed 115 tag single nucleotide polymorphisms (SNPs) and 15 nutrients from 1239 and 1692 non-Hispanic white, histologically-confirmed lung cancer cases and controls, respectively, using stochastic search variable selection (a Bayesian model averaging approach). Analyses were stratified by current, former, and never smoking status.

resultsRs6893114 in MTRR (odds ratio [OR] = 2.10; 95% credible interval [CI]: 1.20-3.48) and alcohol (drinkers vs. non-drinkers, OR = 0.48; 95% CI: 0.26-0.84) were associated with lung cancer risk in current smokers. Rs13170530 in MTRR (OR = 1.70; 95% CI: 1.10-2.87) and two SNP*nutrient interactions [betaine*rs2658161 (OR = 0.42; 95% CI: 0.19-0.88) and betaine*rs16948305 (OR = 0.54; 95% CI: 0.30-0.91)] were associated with lung cancer risk in former smokers. SNPs in MTRR (rs13162612; OR = 0.25; 95% CI: 0.11-0.58; rs10512948; OR = 0.61; 95% CI: 0.41-0.90; rs2924471; OR = 3.31; 95% CI: 1.66-6.59), and MTHFR (rs9651118; OR = 0.63; 95% CI: 0.43-0.95) and three SNP*nutrient interactions (choline*rs10475407; OR = 1.62; 95% CI: 1.11-2.42; choline*rs11134290; OR = 0.51; 95% CI: 0.27-0.92; and riboflavin*rs8767412; OR = 0.40; 95% CI: 0.15-0.95) were associated with lung cancer risk in never smokers.

conclusionsThis study identified possible nutrient and genetic factors related to folate metabolism associated with lung cancer risk, which could potentially lead to nutritional interventions tailored by smoking status to reduce lung cancer risk.

Indexed as

Polymorphism, Single NucleotideAgedAlcohol DrinkingBayes TheoremBetaineCase-Control StudiesCholineFemaleFerredoxin-NADP ReductaseFolic AcidGenetic Predisposition to DiseaseHumansLung NeoplasmsMaleMethylenetetrahydrofolate Reductase (NADPH2)Middle AgedBetaineCholineFerredoxin-NADP ReductaseFolic Acidmethionine synthase reductaseMethylenetetrahydrofolate Reductase (NADPH2)MTHFR protein, humanVitamin B Complex

Identifiers

PMID23372658
PMCPMC3553105
OpenAlexW2132069848

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Registered trials

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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.