Evidence map›Paper›PMID 34593009›Full record

ArticleBreast cancer research : BCR2021

Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study.

Lathan Liou, Stephen Kaptoge, Joe Dennis, Mitul Shah, Jonathan Tyrer, Michael Inouye, Douglas F Easton, Paul D P Pharoah

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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  6. Genetic factors in the pathogenesis of cardio-oncology.Journal of translational medicine · 2024
    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

8 authors at 2 institutions in 2 countries.

Lathan LiouBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. liou.lathan@gmail.com.ORCID 0000-0002-8066-5947
Stephen KaptogeBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Joe DennisDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Mitul ShahDepartment of Oncology, University of Cambridge, Cambridge, UK.
Jonathan TyrerDepartment of Oncology, University of Cambridge, Cambridge, UK.
Michael InouyeBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Douglas F EastonDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Paul D P PharoahDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
University of Cambridge · GBBaker Heart and Diabetes Institute · AU

Funding

British Heart Foundation CH/12/2/29428Cancer Research UK 16561Medical Research Council MR/L003120/1Wellcome Trust
6 · The paper itself

Abstract

backgroundAdvancements in cancer therapeutics have resulted in increases in cancer-related survival; however, there is a growing clinical dilemma. The current balancing of survival benefits and future cardiotoxic harms of oncotherapies has resulted in an increased burden of cardiovascular disease in breast cancer survivors. Risk stratification may help address this clinical dilemma. This study is the first to assess the association between a coronary artery disease-specific polygenic risk score and incident coronary artery events in female breast cancer survivors.

methodsWe utilized the Studies in Epidemiology and Research in Cancer Heredity prospective cohort involving 12,413 women with breast cancer with genotype information and without a baseline history of cardiovascular disease. Cause-specific hazard ratios for association of the polygenic risk score and incident coronary artery disease (CAD) were obtained using left-truncated Cox regression adjusting for age, genotype array, conventional risk factors such as smoking and body mass index, as well as other sociodemographic, lifestyle, and medical variables.

resultsOver a median follow-up of 10.3 years (IQR: 16.8) years, 750 incident fatal or non-fatal coronary artery events were recorded. A 1 standard deviation higher polygenic risk score was associated with an adjusted hazard ratio of 1.33 (95% CI 1.20, 1.47) for incident CAD.

conclusionsThis study provides evidence that a coronary artery disease-specific polygenic risk score can risk-stratify breast cancer survivors independently of other established cardiovascular risk factors.

Indexed as

Breast NeoplasmsCancer SurvivorsCoronary Artery DiseaseFemaleGenome-Wide Association StudyGenomicsGenotypeHumansIncidenceMiddle AgedMultifactorial InheritanceProportional Hazards ModelsProspective StudiesRisk FactorsUnited KingdomBreast cancerCardiovascular diseaseCoronary artery diseaseCoronary heart diseasePolygenic risk scoreSEARCH

Identifiers

PMID34593009
PMCPMC8482562
OpenAlexW3202342873

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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.