Evidence map›Paper›PMID 33198768›Full record

ArticleBMC medicine2020

Breast cancer risk factors and their effects on survival: a Mendelian randomisation study.

Maria Escala-Garcia, Anna Morra, Sander Canisius, Jenny Chang-Claude, Siddhartha Kar, Wei Zheng, Stig E Bojesen, Doug Easton, Paul D P Pharoah, Marjanka K Schmidt

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 8 pooled it
7.7field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 8 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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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

10 authors at 6 institutions in 5 countries.

Maria Escala-GarciaDivision of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Anna MorraDivision of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Sander CanisiusDivision of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Jenny Chang-ClaudeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Siddhartha KarMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Stig E BojesenCopenhagen University Hospital, Copenhagen General Population Study, Herlev and Gentofte Hospital, Herlev, Denmark.
Doug EastonDepartment of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK.
Paul D P PharoahDepartment of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK.
Marjanka K SchmidtDivision of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. mk.schmidt@nki.nl.ORCID 0000-0002-2228-429X
The Netherlands Cancer Institute · NLUniversity of Cambridge · GBUniversität Hamburg · DEUniversity of Bristol · GBUniversity of Copenhagen · DKVanderbilt University · US

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Ovarian cancer GWAS discovery, expansion and replication (N2 - Project #1)U19CA148112 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI SELLERS, THOMAS A · 2010 to 2014
$10.2M
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
Cancer Research UK 16563Cancer Research UK 19169Cancer Research UK C12292/A11174Cancer Research UK C1281/A12014Cancer Research UK C1287/A10118Cancer Research UK C1287/A10710Cancer Research UK C1287/A16563Cancer Research UK C5047/A10692Cancer Research UK C5047/A15007Cancer Research UK C5047/A8384Cancer Research UK C8197/A16565CIHRNCI NIH HHS R01 CA128978NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537
6 · The paper itself

Abstract

backgroundObservational studies have investigated the association of risk factors with breast cancer prognosis. However, the results have been conflicting and it has been challenging to establish causality due to potential residual confounding. Using a Mendelian randomisation (MR) approach, we aimed to examine the potential causal association between breast cancer-specific survival and nine established risk factors for breast cancer: alcohol consumption, body mass index, height, physical activity, mammographic density, age at menarche or menopause, smoking, and type 2 diabetes mellitus (T2DM).

methodsWe conducted a two-sample MR analysis on data from the Breast Cancer Association Consortium (BCAC) and risk factor summary estimates from the GWAS Catalog. The BCAC data included 86,627 female patients of European ancestry with 7054 breast cancer-specific deaths during 15 years of follow-up. Of these, 59,378 were estrogen receptor (ER)-positive and 13,692 were ER-negative breast cancer patients. For the significant association, we used sensitivity analyses and a multivariable MR model. All risk factor associations were also examined in a model adjusted by other prognostic factors.

resultsIncreased genetic liability to T2DM was significantly associated with worse breast cancer-specific survival (hazard ratio [HR] = 1.10, 95% confidence interval [CI] = 1.03-1.17, P value [P] = 0.003). There were no significant associations after multiple testing correction for any of the risk factors in the ER-status subtypes. For the reported significant association with T2DM, the sensitivity analyses did not show evidence for violation of the MR assumptions nor that the association was due to increased BMI. The association remained significant when adjusting by other prognostic factors.

conclusionsThis extensive MR analysis suggests that T2DM may be causally associated with worse breast cancer-specific survival and therefore that treating T2DM may improve prognosis.

Indexed as

Breast NeoplasmsFemaleHumansMendelian Randomization AnalysisRisk FactorsSurvival AnalysisBreast cancer risk factorsBreast cancer survivalGWAS CatalogLifestyleMendelian randomisation

Identifiers

PMID33198768
PMCPMC7670589
OpenAlexW3099722764

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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.