Evidence map›Paper›PMID 22733159›Full record

ArticleProstate cancer and prostatic diseases2012

Analysis of prostate cancer association with four single-nucleotide polymorphisms from genome-wide studies and serum phyto-estrogen concentrations.

C K M Ho, L Halley, J Wei, F K Habib

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In one paragraph

Article in Prostate cancer and prostatic diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

4 authors at 2 institutions in 2 countries.

C K M HoProstate Research Group, Department of Oncology, University of Edinburgh, Edinburgh, UK. clement.ho@doctors.org.uk
L Halley
J Wei
F K Habib
University of Edinburgh · GBUniversity of the Highlands and Islands · GB

Funding

Cancer Research UK
6 · The paper itself

Abstract

backgroundBoth genetics and the environment are implicated as risk factors for prostate cancer (PCa). This population-based case-control study evaluated four single-nucleotide polymorphisms (SNPs) previously identified by genome-wide association studies to be associated with increased PCa susceptibility. Potential relationships between serum concentrations of phyto-estrogens and SNPs were also investigated.

methodsFour SNPs (rs10993994, rs2660753, rs1016343 and rs6983267) were genotyped in 247 PCa patients, 125 BPH patients and 274 control men recruited in Scotland. Serum concentrations of the phyto-estrogens enterolactone, equol, genistein and daidzein were measured by isotope dilution gas chromatography-mass spectrometry.

resultsIncreased PCa risk was associated with TT genotype of rs10993994 compared with CC and CT genotypes combined (odds ratio (OR)=1.87; 95% confidence interval (CI), 1.26-2.77). TT homozygotes who had low serum enterolactone concentrations (below median) were more likely to have PCa (OR=2.90; 95% CI, 1.28-6.57) than individuals with CC/CT genotype and high serum enterolactone concentrations (above median). PCa was not associated with the other three SNPs tested.

conclusionsPCa susceptibility was associated with TT genotype of SNP rs10993994 in this cohort of Scottish men and the increased risk of PCa was modified by serum enterolactone concentrations.

Indexed as

Genetic Association StudiesPolymorphism, Single Nucleotide4-ButyrolactoneAgedAllelesGenetic Predisposition to DiseaseHumansLignansMaleMiddle AgedProstatic NeoplasmsRisk FactorsScotland2,3-bis(3'-hydroxybenzyl)butyrolactone4-ButyrolactoneLignans

Identifiers

PMID22733159
OpenAlexW1970049650

What OpenQuestion holds

Textmetadata
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.