Evidence map›Paper›PMID 35113855›Full record

ArticlePLoS medicine2022

Genetically proxied therapeutic inhibition of antihypertensive drug targets and risk of common cancers: A mendelian randomization analysis.

James Yarmolinsky, Virginia Díez-Obrero, Tom G Richardson, Marie Pigeyre, Jennifer Sjaarda, Guillaume Paré, Venexia M Walker, Emma E Vincent, Vanessa Y Tan, Mireia Obón-Santacana and 16 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 5 pooled it
12.2field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 5 syntheses or guidelines pooled it, 66 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

26 authors at 13 institutions in 6 countries.

James YarmolinskyMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4371-0873
Virginia Díez-ObreroBiomarkers and Susceptibility Unit, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0002-0163-9872
Tom G RichardsonMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7918-2040
Marie PigeyrePopulation Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Canada.ORCID 0000-0003-2984-8366
Jennifer SjaardaPopulation Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Canada.
Guillaume ParéPopulation Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Canada.ORCID 0000-0002-6795-4760
Venexia M WalkerMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-5064-446X
Emma E VincentMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-8917-7384
Vanessa Y TanMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-7938-127X
Mireia Obón-SantacanaBiomarkers and Susceptibility Unit, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0003-4646-3513
Demetrius AlbanesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Jochen HampeDepartment of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany.ORCID 0000-0002-2421-6127
Andrea GsurInstitute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria.ORCID 0000-0002-9795-1528
Heather HampelDivision of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, United States of America.
Rish K PaiDepartment of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, United States of America.ORCID 0000-0002-2692-221X
Mark JenkinsCentre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Australia.ORCID 0000-0002-8964-6160
Steven GallingerDivision of General Surgery, University Health Network, University of Toronto, Toronto, Canada.
Graham CaseyCenter for Public Health Genomics and Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0003-1584-5551
Wei ZhengDivision of Epidemiology, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0003-1226-070X
Christopher I AmosDepartment of Medicine, Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, Texas, United States of America.ORCID 0000-0002-8540-7023
International Lung Cancer Consortium
PRACTICAL consortium
MEGASTROKE consortium
George Davey SmithMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-1407-8314
Richard M MartinMRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7992-7719
Victor MorenoBiomarkers and Susceptibility Unit, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.ORCID 0000-0002-2818-5487
University of Bristol · GBBellvitge University Hospital · ESPopulation Health Research Institute · CABaylor College of Medicine · USMayo Clinic in Arizona · USNational Institutes of Health · USTechnische Universität Dresden · DEThe Ohio State University · USThe University of Melbourne · AUUniversity Health Network · CAUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Virginia · USVanderbilt University Medical Center · US

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Rayjean J. Hung · 2017 to 2026
$23.7M
Data sharing: the Colon Cancer Family Registry CohortU01CA167551 · NCI · UNIVERSITY OF MELBOURNE · PI Daniel David BUCHANAN, Steven Gallinger · 2018 to 2026
$16.8M
Inherited colorectal cancer risk variants: from association to biologyR01CA143237 · NCI · UNIVERSITY OF VIRGINIA · PI CASEY, GRAHAM · 2010 to 2020
$8.4M
PCPT and SELECT Cohorts: Core Infrastructure Support for Cancer ResearchU01CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2019 to 2023
$5.4M
PCPT and SELECT cohorts: Core Infrastructure Support for Cancer Research UM1CA182883 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TANGEN, CATHERINE M., THOMPSON, IAN M. · 2013 to 2017
$5.2M
Advancing equity in colorectal cancer genetic risk prediction through expansion of racial/ethnic minority representationR01CA244588 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2020 to 2024
$3.5M
Biology of Colorectal Cancer Risk EnhancersR01CA204279 · NCI · UNIVERSITY OF VIRGINIA · PI CASEY, GRAHAM, SCACHERI, PETER CHRISTOPHER · 2016 to 2020
$3.0M
Detection/Dysplastic Epithelium/Gastrointestinal TractR33CA094304 · NCI · UNIVERSITY HOSPITALS OF CLEVELAND · PI SIVAK, MICHAEL V · 2002 to 2004
$1.5M
Cancer Research UK 28534Cancer Research UK 29019Cancer Research UK C18281/A29019Cancer Research UK C68933/A28534Department of HealthMedical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00011/6NCI NIH HHS R01 CA143237NCI NIH HHS R01 CA204279NCI NIH HHS R01 CA244588NCI NIH HHS R33 CA094304NCI NIH HHS U01 CA182883NCI NIH HHS U19 CA203654NCI NIH HHS UG1 CA189974NCI NIH HHS UM1 CA182883Wellcome Trust
6 · The paper itself

Abstract

backgroundEpidemiological studies have reported conflicting findings on the potential adverse effects of long-term antihypertensive medication use on cancer risk. Naturally occurring variation in genes encoding antihypertensive drug targets can be used as proxies for these targets to examine the effect of their long-term therapeutic inhibition on disease outcomes. METHODS AND

findingsWe performed a mendelian randomization analysis to examine the association between genetically proxied inhibition of 3 antihypertensive drug targets and risk of 4 common cancers (breast, colorectal, lung, and prostate). Single-nucleotide polymorphisms (SNPs) in ACE, ADRB1, and SLC12A3 associated (P < 5.0 × 10-8) with systolic blood pressure (SBP) in genome-wide association studies (GWAS) were used to proxy inhibition of angiotensin-converting enzyme (ACE), β-1 adrenergic receptor (ADRB1), and sodium-chloride symporter (NCC), respectively. Summary genetic association estimates for these SNPs were obtained from GWAS consortia for the following cancers: breast (122,977 cases, 105,974 controls), colorectal (58,221 cases, 67,694 controls), lung (29,266 cases, 56,450 controls), and prostate (79,148 cases, 61,106 controls). Replication analyses were performed in the FinnGen consortium (1,573 colorectal cancer cases, 120,006 controls). Cancer GWAS and FinnGen consortia data were restricted to individuals of European ancestry. Inverse-variance weighted random-effects models were used to examine associations between genetically proxied inhibition of these drug targets and risk of cancer. Multivariable mendelian randomization and colocalization analyses were employed to examine robustness of findings to violations of mendelian randomization assumptions. Genetically proxied ACE inhibition equivalent to a 1-mm Hg reduction in SBP was associated with increased odds of colorectal cancer (odds ratio (OR) 1.13, 95% CI 1.06 to 1.22; P = 3.6 × 10-4). This finding was replicated in the FinnGen consortium (OR 1.40, 95% CI 1.02 to 1.92; P = 0.035). There was little evidence of association of genetically proxied ACE inhibition with risk of breast cancer (OR 0.98, 95% CI 0.94 to 1.02, P = 0.35), lung cancer (OR 1.01, 95% CI 0.92 to 1.10; P = 0.93), or prostate cancer (OR 1.06, 95% CI 0.99 to 1.13; P = 0.08). Genetically proxied inhibition of ADRB1 and NCC were not associated with risk of these cancers. The primary limitations of this analysis include the modest statistical power for analyses of drug targets in relation to some less common histological subtypes of cancers examined and the restriction of the majority of analyses to participants of European ancestry.

conclusionsIn this study, we observed that genetically proxied long-term ACE inhibition was associated with an increased risk of colorectal cancer, warranting comprehensive evaluation of the safety profiles of ACE inhibitors in clinical trials with adequate follow-up. There was little evidence to support associations across other drug target-cancer risk analyses, consistent with findings from short-term randomized controlled trials for these medications.

Indexed as

Antihypertensive AgentsBlood PressureFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisNeoplasmsPeptidyl-Dipeptidase APolymorphism, Single NucleotideReceptors, Adrenergic, beta-1Risk FactorsSolute Carrier Family 12, Member 3ACE protein, humanADRB1 protein, humanAntihypertensive AgentsPeptidyl-Dipeptidase AReceptors, Adrenergic, beta-1SLC12A3 protein, humanSolute Carrier Family 12, Member 3

Identifiers

PMID35113855
PMCPMC8812899
OpenAlexW4210438110

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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.