Evidence map›Paper›PMID 20056625›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2010

Variation in the FGFR2 gene and the effect of a low-fat dietary pattern on invasive breast cancer.

Ross L Prentice, Ying Huang, David A Hinds, Ulrike Peters, David R Cox, Erica Beilharz, Rowan T Chlebowski, Jacques E Rossouw, Bette Caan, Dennis G Ballinger

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  4. A newly identified susceptibility locus near FOXP1 modifies the association of gastroesophageal reflux with Barrett's esophagus.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
    Article
  5. Interaction between common breast cancer susceptibility variants, genetic ancestry, and nongenetic risk factors in Hispanic women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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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

10 authors at 4 institutions in 1 country.

Ross L PrenticePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, PO Box 19024, Seattle, WA 98109-1024, USA. rprentic@fhcrc.org
Ying Huang
David A Hinds
Ulrike Peters
David R Cox
Erica Beilharz
Rowan T Chlebowski
Jacques E Rossouw
Bette Caan
Dennis G Ballinger
Fred Hutch Cancer Center · USKaiser Permanente · USNational Institutes of Health · USPerlegen (United States) · US

Funding

Use of Biomarkers in Diagnosis, Prognosis, Risk Prediction and Early Detection ofP01CA053996 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HSU, LI · 1991 to 2015
$9.4M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
NCI NIH HHS CA53996NCI NIH HHS P01 CA053996PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-19PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221PHS HHS HHSN268200764314CWHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

backgroundThe Women's Health Initiative dietary modification (DM) trial provided suggestive evidence of a benefit of a low-fat dietary pattern on breast cancer risk, with stronger evidence among women whose baseline diet was high in fat. Single nucleotide polymorphisms (SNP) in the FGFR2 gene relate strongly to breast cancer risk and could influence intervention effects.

methodsAll 48,835 trial participants were postmenopausal and ages 50 to 79 years at enrollment (1993-1998). We interrogated eight SNPs in intron 2 of the FGFR2 gene for 1,676 women who developed breast cancer during trial follow-up (1993-2005). Case-only analyses were used to estimate odds ratios for the DM intervention in relation to SNP genotype.

resultsOdds ratios for the DM intervention did not vary significantly with the genotype for any of the eight FGFR2 SNPs (P > or = 0.18). However, odds ratios varied (P < 0.05) with the genotype of six of these SNPs, among women having baseline percent of energy from fat in the upper quartile (> or =36.8%). This variation is most evident for SNP rs3750817, with odds ratios for the DM intervention at 0, 1, and 2 minor SNP alleles of 1.06 [95% confidence intervals (95% CI), 0.80-1.41], 0.53 (95% CI, 0.38-0.74), and 0.62 (95% CI, 0.33-1.15). The nominal significance level for this interaction is P = 0.005, and P = 0.03 following multiple testing adjustment, with most evidence deriving from hormone receptor-positive tumors.

conclusionInvasive breast cancer odds ratios for a low-fat dietary pattern, among women whose usual diets are high in fat, seem to vary with SNP rs3750817 in the FGFR2 gene.

Indexed as

AdultAgedBreast NeoplasmsDietDietary FatsFeeding BehaviorFemaleGenotypeHumansMiddle AgedOdds RatioPolymorphism, Single NucleotidePostmenopauseReceptor, Fibroblast Growth Factor, Type 2Dietary FatsFGFR2 protein, humanReceptor, Fibroblast Growth Factor, Type 2

Identifiers

PMID20056625
PMCPMC2806599
OpenAlexW2163215490

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.