Evidence map›Paper›PMID 26992435›Full record

ArticleCancer medicine2016

Blood lipids and prostate cancer: a Mendelian randomization analysis.

Caroline J Bull, Carolina Bonilla, Jeff M P Holly, Claire M Perks, Neil Davies, Philip Haycock, Oriana Hoi Yun Yu, J Brent Richards, Rosalind Eeles, Doug Easton and 33 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
3.0field-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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 82 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

43 authors at 20 institutions in 12 countries.

Caroline J BullSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Carolina BonillaSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Jeff M P HollyIntegrative Cancer Epidemiology Programme, University of Bristol, Bristol, United Kingdom.
Claire M PerksIntegrative Cancer Epidemiology Programme, University of Bristol, Bristol, United Kingdom.
Neil DaviesSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Philip HaycockSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Oriana Hoi Yun YuDepartment of Medicine, Division of Endocrinology, Epidemiology, Biostatistics and Occupational Health McGill University, Montreal, Quebec, Canada.
J Brent RichardsDepartment of Medicine, Division of Endocrinology, Epidemiology, Biostatistics and Occupational Health McGill University, Montreal, Quebec, Canada.
Rosalind EelesThe Institute of Cancer Research, London, SM2 5NG, United Kingdom.
Doug EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, United Kingdom.
Zsofia Kote-JaraiThe Institute of Cancer Research, London, SM2 5NG, United Kingdom.
Ali Amin Al OlamaCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, United Kingdom.
Sara BenllochCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, United Kingdom.
Kenneth MuirIntegrative Cancer Epidemiology Programme, University of Bristol, Bristol, United Kingdom.
Graham G GilesCancer Epidemiology Centre, The Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, Australia.
Robert J MacInnisCancer Epidemiology Centre, The Cancer Council Victoria, 615 St Kilda Road, Melbourne, Victoria, Australia.
Fredrik WiklundDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Henrik GronbergDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California.
Johanna SchleutkerDepartment of Medical Biochemistry and Genetics, University of Turku and Tyks Microbiology and Genetics, Department of Medical Genetics, Turku University Hospital, Turku, Finland.
Børge G NordestgaardDepartment of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev Ringvej 75, Herlev, DK-2730, Denmark.
Ruth C TravisCancer Epidemiology, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
David NealSurgical Oncology (Uro-Oncology: S4), University of Cambridge, Addenbrooke's Hospital, Box 279, Hills Road, Cambridge, United Kingdom.
Nora PashayanCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, United Kingdom.
Kay-Tee KhawCambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, CB2 0SR, United Kingdom.
Janet L StanfordDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
William J BlotInternational Epidemiology Institute, 1455 Research Blvd., Suite 550, Rockville, 20850, Maryland.
Stephen ThibodeauMayo Clinic, Rochester, Minnesota.
Christiane MaierDepartment of Urology, University Hospital, Ulm, Germany.
Adam S KibelBrigham and Women's Hospital/Dana-Farber Cancer Institute, 45 Francis Street- ASB II-3, Boston, Massachusetts, 02115.
Cezary CybulskiInternational Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland.
Lisa Cannon-AlbrightDivision of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jong ParkDivision of Cancer Prevention and Control, H. Lee Moffitt Cancer Center, Magnolia Dr., Tampa, Florida, 12902.
Radka KanevaMolecular Medicine Center and Department of Medical Chemistry and Biochemistry, Medical University Sofia, 2 Zdrave St, Sofia, 1431, Bulgaria.
Jyotsna BatraAustralian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.
Manuel R TeixeiraDepartment of Genetics, Portuguese Oncology Institute, Porto, Portugal.
Agnieszka MichealThe University of Surrey, Surrey, GU2 7XH, United Kingdom.
Hardev PandhaThe University of Surrey, Surrey, GU2 7XH, United Kingdom.
George Davey SmithSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Sarah J LewisSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Richard M MartinSchool of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
PRACTICAL consortium
University of Bristol · GBUniversity of Cambridge · GBInstitute of Cancer Research · GBKarolinska Institutet · SEMRC Epidemiology Unit · GBUniversity of Surrey · GBBrigham and Women's Hospital · USCancer Council Victoria · AUCancer Research UK Oxford Centre · GBFimlab (Finland) · FIGentofte Hospital · DKHeidelberg University · DEInstituto Português de Oncologia Francisco Gentil · PTInternational Epidemiology Institute · USInternational Hereditary Cancer Center · PLKing's College London · GBMayo Clinic · USMcGill University Health Centre · CAMedical University of Sofia · BGMoffitt Cancer Center · US

Funding

Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
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
Cancer Research UK 13065Cancer Research UK 14136Cancer Research UK 15007Cancer Research UK 16491Cancer Research UK 17528Cancer Research UK 19170Cancer Research UK A19169Medical Research Council G0401527Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9Medical Research Council MR/N003284/1NCI NIH HHS R01 CA092447NCI NIH HHS U01 CA164973NCI NIH HHS U19 CA148537Wellcome Trust
6 · The paper itself

Abstract

Genetic risk scores were used as unconfounded instruments for specific lipid traits (Mendelian randomization) to assess whether circulating lipids causally influence prostate cancer risk. Data from 22,249 prostate cancer cases and 22,133 controls from 22 studies within the international PRACTICAL consortium were analyzed. Allele scores based on single nucleotide polymorphisms (SNPs) previously reported to be uniquely associated with each of low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglyceride (TG) levels, were first validated in an independent dataset, and then entered into logistic regression models to estimate the presence (and direction) of any causal effect of each lipid trait on prostate cancer risk. There was weak evidence for an association between the LDL genetic score and cancer grade: the odds ratio (OR) per genetically instrumented standard deviation (SD) in LDL, comparing high- (≥7 Gleason score) versus low-grade (<7 Gleason score) cancers was 1.50 (95% CI: 0.92, 2.46; P = 0.11). A genetically instrumented SD increase in TGs was weakly associated with stage: the OR for advanced versus localized cancer per unit increase in genetic risk score was 1.68 (95% CI: 0.95, 3.00; P = 0.08). The rs12916-T variant in 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) was inversely associated with prostate cancer (OR: 0.97; 95% CI: 0.94, 1.00; P = 0.03). In conclusion, circulating lipids, instrumented by our genetic risk scores, did not appear to alter prostate cancer risk. We found weak evidence that higher LDL and TG levels increase aggressive prostate cancer risk, and that a variant in HMGCR (that mimics the LDL lowering effect of statin drugs) reduces risk. However, inferences are limited by sample size and evidence of pleiotropy.

Indexed as

Mendelian Randomization AnalysisCase-Control StudiesGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansLipidsMaleMeta-Analysis as TopicNeoplasm GradingNeoplasm StagingOdds RatioPolymorphism, Single NucleotidePopulation SurveillanceProstatic NeoplasmsLipidsCholesterolMendelian randomizationprostate cancerstatins

Identifiers

PMID26992435
PMCPMC4924371
OpenAlexW2298141847

What OpenQuestion holds

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LicenceCC BY
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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.