Evidence map›Paper›PMID 21750727›Full record

ArticlePloS one2011

Genetic variation on 9p22 is associated with abnormal ovarian ultrasound results in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.

Nicolas Wentzensen, Amanda Black, Kevin Jacobs, Hannah P Yang, Christine D Berg, Neil Caporaso, Ulrike Peters, Lawrence Ragard, Saundra S Buys, Stephen Chanock and 1 more

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

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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

11 authors.

Nicolas WentzensenDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America. wentzenn@mail.nih.gov
Amanda Black
Kevin Jacobs
Hannah P Yang
Christine D Berg
Neil Caporaso
Ulrike Peters
Lawrence Ragard
Saundra S Buys
Stephen Chanock
Patricia Hartge

Funding

PLCO Trial Etiologic and Early Marker StudyZIACP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MOORE, STEVEN · 2009 to 2025
$29.9M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundA recent ovarian cancer genome-wide association study (GWAS) identified a locus on 9p22 associated with reduced ovarian cancer risk. The single nucleotide polymorphism (SNP) markers localize to the BNC2 gene, which has been associated with ovarian development.

methodsWe analyzed the association of 9p22 SNPs with transvaginal ultrasound (TVU) screening results and CA-125 blood levels from participants without ovarian cancer in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO); 1,106 women with adequate ultrasound screening results and available genotyping information were included in the study.

resultsWe observed a significantly increased risk of abnormal suspicious TVU results for seven SNPs on 9p22, with odds ratios between 1.68 (95% CI: 1.04-2.72) for rs4961501 and 2.10 (95% CI: 1.31-3.38) for rs12379183. Associations were restricted to abnormal suspicious findings at the first TVU screen. We did not observe an association between 9p22 SNPs and CA-125 levels.

conclusionsOur findings suggest that 9p22 SNPs, which were found to be associated with decreased risk of ovarian cancer in a recent GWAS, are associated with sonographically detectable ovarian abnormalities. Our results corroborate the relevance of the 9p22 locus for ovarian biology. Further studies are required to understand the complex relationship between screening abnormalities and ovarian carcinogenesis and to evaluate whether this locus can influence the risk stratification of ovarian cancer screening.

Indexed as

Polymorphism, Single NucleotideAgedCA-125 AntigenChromosomes, Human, Pair 9Clinical Trials as TopicColorectal NeoplasmsDNA-Binding ProteinsFemaleGene FrequencyGenetic TestingGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumLung NeoplasmsMaleBNC2 protein, humanCA-125 AntigenDNA-Binding Proteins

Identifiers

PMID21750727
PMCPMC3131287

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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.