Evidence map›Paper›PMID 19366831›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2009

Analysis of recently identified prostate cancer susceptibility loci in a population-based study: associations with family history and clinical features.

Liesel M Fitzgerald, Erika M Kwon, Joseph S Koopmeiners, Claudia A Salinas, Janet L Stanford, Elaine A Ostrander

Abstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Genome-wide association study identifies a genetic variant associated with risk for more aggressive prostate cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    Trial
  2. Article
  3. Article
  4. Contribution ofOncotarget · 2019
    Article
  5. Article
  6. NUDT11 rs5945572 polymorphism and prostate cancer risk: a meta-analysis.International journal of clinical and experimental medicine · 2015
    Article
  7. Review
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  9. Article
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  11. Article
  12. Article
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  15. Article
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  17. Genetic variants in the LEPR, CRY1, RNASEL, IL4, and ARVCF genes are prognostic markers of prostate cancer-specific mortality.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
    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

6 authors.

Liesel M FitzgeraldNational Human Genome Research Institute, Cancer Genetics Branch, NIH, Bethesda, MD, USA.
Erika M Kwon
Joseph S Koopmeiners
Claudia A Salinas
Janet L Stanford
Elaine A Ostrander

Funding

TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI John Kyung Lee · 2002 to 2026
$58.1M
Finding Genes for Human Prostate CancerZIAHG200325 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI OSTRANDER, ELAINE · 2009 to 2021
$17.7M
NSAIDS and Other Medications in Prostate Cancer EtiologyR01CA092579 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STANFORD, JANET L · 2001 to 2005
$3.2M
GENETIC POLYMORPHISMS AND PROSTATE CANCER RISKR01CA082664 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STANFORD, JANET L · 1999 to 2001
$350k
PROSTATE CANCER IN RELATION TO VASECTOMYR01CA056678 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STANFORD, JANET L · 1993 to 1997
–
NCI NIH HHS P50 CA097186NCI NIH HHS R01 CA056678NCI NIH HHS R01 CA082664NCI NIH HHS R01 CA092579NCI NIH HHS R01 CA56678NCI NIH HHS R01 CA92579
6 · The paper itself

Abstract

purposeTwo recent genome-wide association studies have highlighted several single nucleotide polymorphisms (SNPs) purported to be associated with prostate cancer risk. We investigated the significance of these SNPs in a population-based study of Caucasian men, testing the effects of each SNP in relation to family history of prostate cancer and the clinicopathologic features of the disease. EXPERIMENTAL

designWe genotyped 13 SNPs in 1,308 prostate cancer patients and 1,267 unaffected controls frequency matched to cases by five-year age groups. The association of each SNP with disease risk stratified by family history of prostate cancer and clinicopathologic features of the disease was calculated with the use of logistic and polytomous regression.

resultsThese results confirm the importance of multiple, previously reported SNPs in relation to prostate cancer susceptibility; 11 of the 13 SNPs were significantly associated with risk of developing prostate cancer. However, none of the SNP associations were of comparable magnitude with that associated with having a first-degree family history of the disease. Risk estimates associated with SNPs rs4242382 and rs2735839 varied by family history, whereas risk estimates for rs10993994 and rs5945619 varied by Gleason score.

conclusionsOur results confirm that several recently identified SNPs are associated with prostate cancer risk; however, the variant alleles only confer a low to moderate relative risk of disease and are generally not associated with more aggressive disease features.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedCase-Control StudiesGenotypeHumansIncidenceMaleMicrosatellite RepeatsMiddle AgedNeoplasm StagingPolymorphism, Single NucleotideProstatic NeoplasmsRisk FactorsSurvival Rate

Identifiers

PMID19366831
PMCPMC2707085

What OpenQuestion holds

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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.