Evidence map›Paper›PMID 22132073›Full record

SynthesisPloS one2011

Association between Prostinogen (KLK15) genetic variants and prostate cancer risk and aggressiveness in Australia and a meta-analysis of GWAS data.

Jyotsna Batra, Felicity Lose, Tracy O'Mara, Louise Marquart, Carson Stephens, Kimberly Alexander, Srilakshmi Srinivasan, Rosalind A Eeles, Douglas F Easton, Ali Amin Al Olama and 15 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Association between single-nucleotide polymorphisms in growth factor genes and quality of life in men with prostate cancer and the general population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  4. Article
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

25 authors at 14 institutions in 2 countries.

Jyotsna BatraAustralian Prostate Cancer Research Centre-Queensland and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. jyotsna.batra@qut.edu.au
Felicity Lose
Tracy O'Mara
Louise Marquart
Carson Stephens
Kimberly Alexander
Srilakshmi Srinivasan
Rosalind A Eeles
Douglas F Easton
Ali Amin Al Olama
Zsofia Kote-Jarai
Michelle Guy
Kenneth Muir
Artitaya Lophatananon
Aneela A Rahman
David E Neal
Freddie C Hamdy
Jenny L Donovan
Suzanne Chambers
Robert A Gardiner
Joanne Aitken
John Yaxley
Mary-Anne Kedda
Judith A Clements
Amanda B Spurdle
Queensland University of Technology · AUQIMR Berghofer Medical Research Institute · AUCancer Council Queensland · AURoyal Marsden NHS Foundation Trust · GBUniversity of Warwick · GBCancer Research UK · GBInstitute of Cancer Research · GBJohn Radcliffe Hospital · GBMRC Epidemiology Unit · GBSt Vincent’s Private Hospital Brisbane · AUUniversity of Bristol · GBUniversity of Cambridge · GBUniversity of Nottingham · GBUniversity of Queensland · AU

Funding

Cancer Research UK 10118Cancer Research UK 11022Cancer Research UK C5047/A3354Cancer Research UK C522/A8649Department of HealthMedical Research Council G0500966Prostate Cancer UK G2011/36
6 · The paper itself

Abstract

backgroundKallikrein 15 (KLK15)/Prostinogen is a plausible candidate for prostate cancer susceptibility. Elevated KLK15 expression has been reported in prostate cancer and it has been described as an unfavorable prognostic marker for the disease.

objectivesWe performed a comprehensive analysis of association of variants in the KLK15 gene with prostate cancer risk and aggressiveness by genotyping tagSNPs, as well as putative functional SNPs identified by extensive bioinformatics analysis. METHODS AND DATA SOURCES: Twelve out of 22 SNPs, selected on the basis of linkage disequilibrium pattern, were analyzed in an Australian sample of 1,011 histologically verified prostate cancer cases and 1,405 ethnically matched controls. Replication was sought from two existing genome wide association studies (GWAS): the Cancer Genetic Markers of Susceptibility (CGEMS) project and a UK GWAS study.

resultsTwo KLK15 SNPs, rs2659053 and rs3745522, showed evidence of association (p<0.05) but were not present on the GWAS platforms. KLK15 SNP rs2659056 was found to be associated with prostate cancer aggressiveness and showed evidence of association in a replication cohort of 5,051 patients from the UK, Australia, and the CGEMS dataset of US samples. A highly significant association with Gleason score was observed when the data was combined from these three studies with an Odds Ratio (OR) of 0.85 (95% CI = 0.77-0.93; p = 2.7×10(-4)). The rs2659056 SNP is predicted to alter binding of the RORalpha transcription factor, which has a role in the control of cell growth and differentiation and has been suggested to control the metastatic behavior of prostate cancer cells.

conclusionsOur findings suggest a role for KLK15 genetic variation in the etiology of prostate cancer among men of European ancestry, although further studies in very large sample sets are necessary to confirm effect sizes.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedAged, 80 and overBase SequenceChromosome MappingComputational BiologyDatabases, GeneticDemographyHumansKallikreinsLinkage DisequilibriumMaleMiddle AgedPolymorphism, Single NucleotideKallikreinsKLK15 protein, human

Identifiers

PMID22132073
PMCPMC3223160
OpenAlexW2131075370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.