Evidence map›Paper›PMID 20308648›Full record

SynthesisJournal of the National Cancer Institute2010

Association between a germline OCA2 polymorphism at chromosome 15q13.1 and estrogen receptor-negative breast cancer survival.

Elizabeth M Azzato, Jonathan Tyrer, Peter A Fasching, Matthias W Beckmann, Arif B Ekici, Rüdiger Schulz-Wendtland, Stig E Bojesen, Børge G Nordestgaard, Henrik Flyger, Roger L Milne and 46 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 6 pooled it
2.6field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 6 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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  4. Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
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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

56 authors at 1 institution in 10 countries.

Elizabeth M Azzatoazzatoe2@mail.nih.gov
Jonathan Tyrer
Peter A Fasching
Matthias W Beckmann
Arif B Ekici
Rüdiger Schulz-Wendtland
Stig E Bojesen
Børge G Nordestgaard
Henrik Flyger
Roger L Milne
José Ignacio Arias
Primitiva Menéndez
Javier Benítez
Jenny Chang-Claude
Rebecca Hein
Shan Wang-Gohrke
Heli Nevanlinna
Tuomas Heikkinen
Kristiina Aittomäki
Carl Blomqvist
Sara Margolin
Arto Mannermaa
Veli-Matti Kosma
Vesa Kataja
Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer
Jonathan Beesley
Xiaoqing Chen
Georgia Chenevix-Trench
Fergus J Couch
Janet E Olson
Zachary S Fredericksen
Xianshu Wang
Graham G Giles
Gianluca Severi
Laura Baglietto
Melissa C Southey
Peter Devilee
Rob A E M Tollenaar
Caroline Seynaeve
Montserrat García-Closas
Jolanta Lissowska
Mark E Sherman
Kelly L Bolton
Per Hall
Kamila Czene
Angela Cox
Ian W Brock
Graeme C Elliott
Malcolm W R Reed
David Greenberg
Hoda Anton-Culver
Argyrios Ziogas
Manjeet Humphreys
Douglas F Easton
Neil E Caporaso
Paul D P Pharoah
Leiden University · NL

Funding

HEREDITARY BREAST CANCER--GENETIC AND MOLECULAR STUDIESR01CA058860 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI ANTON-CULVER, HODA A · 1994 to 2008
$3.1M
Genetic epidemiology of cell division regulation in breast cancerR01CA122340 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
HEREDITARY BREAST CANCER--GENETIC AND MOLECULAR STUDIESU01CA058860 · NCI · UNIVERSITY OF CALIFORNIA IRVINE · PI ANTON-CULVER, HODA A. · 1997 to 2002
$2.5M
Breast Cancer Now 2004NOV49Cancer Research UK 10118Cancer Research UK 10119Cancer Research UK 10124Cancer Research UK 11021Cancer Research UK 11022Cancer Research UK A10119Cancer Research UK A10124Cancer Research UK A7497Cancer Research UK C1287Intramural NIH HHSNCI NIH HHS CA-58860NCI NIH HHS R01 CA122340
6 · The paper itself

Abstract

backgroundTraditional prognostic factors for survival and treatment response of patients with breast cancer do not fully account for observed survival variation. We used available genotype data from a previously conducted two-stage, breast cancer susceptibility genome-wide association study (ie, Studies of Epidemiology and Risk factors in Cancer Heredity [SEARCH]) to investigate associations between variation in germline DNA and overall survival.

methodsWe evaluated possible associations between overall survival after a breast cancer diagnosis and 10 621 germline single-nucleotide polymorphisms (SNPs) from up to 3761 patients with invasive breast cancer (including 647 deaths and 26 978 person-years at risk) that were genotyped previously in the SEARCH study with high-density oligonucleotide microarrays (ie, hypothesis-generating set). Associations with all-cause mortality were assessed for each SNP by use of Cox regression analysis, generating a per rare allele hazard ratio (HR). To validate putative associations, we used patient genotype information that had been obtained with 5' nuclease assay or mass spectrometry and overall survival information for up to 14 096 patients with invasive breast cancer (including 2303 deaths and 70 019 person-years at risk) from 15 international case-control studies (ie, validation set). Fixed-effects meta-analysis was used to generate an overall effect estimate in the validation dataset and in combined SEARCH and validation datasets. All statistical tests were two-sided.

resultsIn the hypothesis-generating dataset, SNP rs4778137 (C>G) of the OCA2 gene at 15q13.1 was statistically significantly associated with overall survival among patients with estrogen receptor-negative tumors, with the rare G allele being associated with increased overall survival (HR of death per rare allele carried = 0.56, 95% confidence interval [CI] = 0.41 to 0.75, P = 9.2 x 10(-5)). This association was also observed in the validation dataset (HR of death per rare allele carried = 0.88, 95% CI = 0.78 to 0.99, P = .03) and in the combined dataset (HR of death per rare allele carried = 0.82, 95% CI = 0.73 to 0.92, P = 5 x 10(-4)).

conclusionThe rare G allele of the OCA2 polymorphism, rs4778137, may be associated with improved overall survival among patients with estrogen receptor-negative breast cancer.

Indexed as

AllelesChromosomes, Human, Pair 15Germ-Line MutationPolymorphism, Single NucleotideAdultAgedBiomarkers, TumorBreast NeoplasmsFemaleGenotypeHumansMembrane Transport ProteinsMiddle AgedProportional Hazards ModelsReceptors, EstrogenResearch DesignBiomarkers, TumorMembrane Transport ProteinsOCA2 protein, humanReceptors, Estrogen

Identifiers

PMID20308648
PMCPMC2864289
OpenAlexW2125515825

What OpenQuestion holds

Textmetadata
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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.