Evidence map›Paper›PMID 23635555›Full record

ArticleThe oncologist2013

The relationship between eight GWAS-identified single-nucleotide polymorphisms and primary breast cancer outcomes.

Soley Bayraktar, Patricia A Thompson, Suk-Young Yoo, Kim-anh Do, Aysegul A Sahin, Banu K Arun, Melissa L Bondy, Abenaa M Brewster

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
1.9field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Update on the relationship between theThe Journal of international medical research · 2023
    Pooled it
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  5. Article
  6. Review
  7. Determination ofDisease markers · 2019
    Article
  8. Article
  9. Article
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  11. Association ofOncology letters · 2017
    Article
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  15. Article
  16. TOX gene: a novel target for human cancer gene therapy.American journal of cancer research · 2015
    Review
  17. Article
  18. 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

8 authors at 4 institutions in 1 country.

Soley BayraktarDepartment of Medical Oncology, Mercy Cancer Center, Ardmore, Oklahoma, USA.
Patricia A Thompson
Suk-Young Yoo
Kim-anh Do
Aysegul A Sahin
Banu K Arun
Melissa L Bondy
Abenaa M Brewster
Cancer Research And Biostatistics · USBaylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · USUniversity of Arizona · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Determinants of Breast Cancer SurvivalR01CA089608 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L · 2002 to 2006
$3.1M
Insulin Resistance and Breast Cancer OutcomeR03CA123553 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BREWSTER, ABENAA M · 2006 to 2007
$148k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA089608NCI NIH HHS R01CA089608NCI NIH HHS R03 CA123553NCI NIH HHS R03CA123553
6 · The paper itself

Abstract

backgroundSeveral single-nucleotide polymorphisms (SNPs) associated with breast cancer risk have been identified through genome-wide association studies (GWAS). We investigated whether eight risk SNPs identified in GWAS were associated with breast cancer disease-free survival (DFS) and overall survival (OS) rates. PATIENTS AND

methodsA cohort of 739 white women with early-stage breast cancer was genotyped for eight GWAS-identified SNPs (rs2981582, rs1219648 [FGFR2], rs3803662, rs12443621, rs8051542 [TOX3], rs999737 [RAD51L1], rs6504950 [17q23], and rs4973768 [3p24]). Relationships between SNPs and breast cancer outcomes were evaluated using Cox proportional hazard regression models. The cumulative effects of SNPs on breast cancer outcomes were assessed by computing the number of at-risk genotypes.

resultsAt a median follow-up of 121 months (range: 188-231 months) for survivors, 237 deaths (32%) and 186 breast cancer events (25%) were identified among the 739 patients. After adjusting for age, clinical stage, and treatment, rs12443621 (16q12; p = .03) and rs6504950 (17q23; p = .008) were prognostic for OS but not DFS. A higher risk for death was also found in the multivariable analysis of patients harboring three or four at-risk genotypes of the GWAS SNPs compared to patients carrying two or less at-risk genotypes (hazard ratio: 1.60, 95% confidence interval: 1.23-2.24; p = .0008).

conclusionThe study results suggest that previously identified breast cancer risk susceptibility loci, rs12443621 (16q12) and rs6504950 (17q23), may influence breast cancer prognosis or comorbid conditions associated with overall survival. The precise molecular mechanisms through which these risk SNPs, as well as others that were not included in the analysis, influence clinical outcomes remain to be determined.

Indexed as

Genome-Wide Association StudyAdultAgedBreast NeoplasmsDisease-Free SurvivalFemaleGenetic LociGenetic Predisposition to DiseaseHumansMiddle AgedNeoplasm StagingPolymorphism, Single NucleotideProportional Hazards ModelsRisk FactorsTreatment OutcomeWhite People17q23Breast cancerPrognosisSingle-nucleotide polymorphismsTNRC9

Identifiers

PMID23635555
PMCPMC3662839
OpenAlexW2140864824

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Registered trials

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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.