Evidence map›Paper›PMID 25526632›Full record

SynthesisPloS one2014

A genome wide meta-analysis study for identification of common variation associated with breast cancer prognosis.

Sajjad Rafiq, Sofia Khan, William Tapper, Andrew Collins, Rosanna Upstill-Goddard, Susan Gerty, Carl Blomqvist, Kristiina Aittomäki, Fergus J Couch, Jianjun Liu and 2 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
–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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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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
    Pooled it
  5. Potential Role of Zinc Finger 365Iranian journal of medical sciences · 2023
    Article
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  7. Thioredoxin-Interacting Protein in Cancer and Diabetes.Antioxidants & redox signaling · 2022
    Review
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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

12 authors.

Sajjad RafiqGenetic Epidemiology and Bioinformatics Research Group, Human Genetics, Faculty of Medicine, University of Southampton, Southampton General Hospital, Hants, United Kingdom.
Sofia KhanDepartment of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.
William TapperGenetic Epidemiology and Bioinformatics Research Group, Human Genetics, Faculty of Medicine, University of Southampton, Southampton General Hospital, Hants, United Kingdom.
Andrew CollinsGenetic Epidemiology and Bioinformatics Research Group, Human Genetics, Faculty of Medicine, University of Southampton, Southampton General Hospital, Hants, United Kingdom.
Rosanna Upstill-GoddardGenetic Epidemiology and Bioinformatics Research Group, Human Genetics, Faculty of Medicine, University of Southampton, Southampton General Hospital, Hants, United Kingdom.
Susan GertyClinical Trials Unit, Faculty of Medicine, University of Southampton, Hants, United Kingdom.
Carl BlomqvistDepartment of Oncology, Helsinki University Central Hospital, Helsinki, Finland.
Kristiina AittomäkiDepartment of Clinical Genetics, Helsinki University Central Hospital, Helsinki, Finland.
Fergus J CouchDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America.
Jianjun LiuHuman Genetics, Genome Institute of Singapore, Singapore.
Heli NevanlinnaDepartment of Obstetrics and Gynaecology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.
Diana EcclesCancer Sciences Division, University of Southampton, School of Medicine, Southampton General Hospital, Hants, United Kingdom.

Funding

A genome-wide association study for breast cancer in BRCA1 mutation carriersR01CA128978 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2008 to 2012
$4.8M
Breast Cancer Now 2010NOVPR62Cancer Research UK A11699Cancer Research UK A7572Cancer Research UK C22524NCI NIH HHS CA128978NCI NIH HHS R01 CA128978
6 · The paper itself

Abstract

objectiveGenome wide association studies (GWAs) of breast cancer mortality have identified few potential associations. The concordance between these studies is unclear. In this study, we used a meta-analysis of two prognostic GWAs and a replication cohort to identify the strongest associations and to evaluate the loci suggested in previous studies. We attempt to identify those SNPs which could impact overall survival irrespective of the age of onset.

methodsTo facilitate the meta-analysis and to refine the association signals, SNPs were imputed using data from the 1000 genomes project. Cox-proportional hazard models were used to estimate hazard ratios (HR) in 536 patients from the POSH cohort (Prospective study of Outcomes in Sporadic versus Hereditary breast cancer) and 805 patients from the HEBCS cohort (Helsinki Breast Cancer Study). These hazard ratios were combined using a Mantel-Haenszel fixed effects meta-analysis and a p-value threshold of 5×10(-8) was used to determine significance. Replication was performed in 1523 additional patients from the POSH study.

resultsAlthough no SNPs achieved genome wide significance, three SNPs have significant association in the replication cohort and combined p-values less than 5.6×10(-6). These SNPs are; rs421379 which is 556 kb upstream of ARRDC3 (HR = 1.49, 95% confidence interval (CI) = 1.27-1.75, P = 1.1×10(-6)), rs12358475 which is between ECHDC3 and PROSER2 (HR = 0.75, CI = 0.67-0.85, P = 1.8×10(-6)), and rs1728400 which is between LINC00917 and FOXF1.

conclusionsIn a genome wide meta-analysis of two independent cohorts from UK and Finland, we identified potential associations at three distinct loci. Phenotypic heterogeneity and relatively small sample sizes may explain the lack of genome wide significant findings. However, the replication at three SNPs in the validation cohort shows promise for future studies in larger cohorts. We did not find strong evidence for concordance between the few associations highlighted by previous GWAs of breast cancer survival and this study.

Indexed as

Polymorphism, Single NucleotideAdultAgedArrestinsBreast NeoplasmsCase-Control StudiesFemaleForkhead Transcription FactorsGenetic LociGenome-Wide Association StudyHumansMiddle AgedPrognosisARRDC3 protein, humanArrestinsForkhead Transcription FactorsFOXF1 protein, human

Identifiers

PMID25526632
PMCPMC4272267

What OpenQuestion holds

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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.