Evidence map›Paper›PMID 36595504›Full record

ArticlePLoS medicine2023

Association between genetically proxied PCSK9 inhibition and prostate cancer risk: A Mendelian randomisation study.

Si Fang, James Yarmolinsky, Dipender Gill, Caroline J Bull, Claire M Perks, PRACTICAL Consortium, George Davey Smith, Tom R Gaunt, Tom G Richardson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01221168 (ProGene), which is not on this map. Cited by 38 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 5 pooled it
16.2field-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.

NCT01221168 recruitingnot on this map

ProGene: Etude Genetique et Epidemiologique du Cancer de la Prostate Familial

TypeobservationalSponsorCentre de Recherche sur les Pathologies ProstatiquesRan1996 to 2026Enrolled10,000ConditionsProstate Cancer
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 5 syntheses or guidelines pooled it, 52 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

9 authors at 3 institutions in 2 countries.

Si FangPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4934-1212
James YarmolinskyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4371-0873
Dipender GillChief Scientific Advisor Office, Research and Early Development, Novo Nordisk, Copenhagen, Denmark.ORCID 0000-0001-7312-7078
Caroline J BullPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-2176-5120
Claire M PerksIGF & Metabolic Endocrinology Group, Translational Health Sciences, Bristol Medical School, Learning & Research Building, Southmead Hospital, Bristol, United Kingdom.ORCID 0000-0003-1562-891X
PRACTICAL Consortium
George Davey SmithPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-1407-8314
Tom R GauntPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-0924-3247
Tom G RichardsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7918-2040
University of Bristol · GBSouthmead Hospital · GBNovo Nordisk (Denmark) · DK

Funding

Cancer Research UK 28534Cancer Research UK C68933/A28534Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_00032/1Wellcome TrustWellcome Trust 108902/Z/15/Z
6 · The paper itself

Abstract

backgroundProstate cancer (PrCa) is the second most prevalent malignancy in men worldwide. Observational studies have linked the use of low-density lipoprotein cholesterol (LDL-c) lowering therapies with reduced risk of PrCa, which may potentially be attributable to confounding factors. In this study, we performed a drug target Mendelian randomisation (MR) analysis to evaluate the association of genetically proxied inhibition of LDL-c-lowering drug targets on risk of PrCa. METHODS AND

findingsSingle-nucleotide polymorphisms (SNPs) associated with LDL-c (P < 5 × 10-8) from the Global Lipids Genetics Consortium genome-wide association study (GWAS) (N = 1,320,016) and located in and around the HMGCR, NPC1L1, and PCSK9 genes were used to proxy the therapeutic inhibition of these targets. Summary-level data regarding the risk of total, advanced, and early-onset PrCa were obtained from the PRACTICAL consortium. Validation analyses were performed using genetic instruments from an LDL-c GWAS conducted on male UK Biobank participants of European ancestry (N = 201,678), as well as instruments selected based on liver-derived gene expression and circulation plasma levels of targets. We also investigated whether putative mediators may play a role in findings for traits previously implicated in PrCa risk (i.e., lipoprotein a (Lp(a)), body mass index (BMI), and testosterone). Applying two-sample MR using the inverse-variance weighted approach provided strong evidence supporting an effect of genetically proxied inhibition of PCSK9 (equivalent to a standard deviation (SD) reduction in LDL-c) on lower risk of total PrCa (odds ratio (OR) = 0.85, 95% confidence interval (CI) = 0.76 to 0.96, P = 9.15 × 10-3) and early-onset PrCa (OR = 0.70, 95% CI = 0.52 to 0.95, P = 0.023). Genetically proxied HMGCR inhibition provided a similar central effect estimate on PrCa risk, although with a wider 95% CI (OR = 0.83, 95% CI = 0.62 to 1.13, P = 0.244), whereas genetically proxied NPC1L1 inhibition had an effect on higher PrCa risk with a 95% CI that likewise included the null (OR = 1.34, 95% CI = 0.87 to 2.04, P = 0.180). Analyses using male-stratified instruments provided consistent results. Secondary MR analyses supported a genetically proxied effect of liver-specific PCSK9 expression (OR = 0.90 per SD reduction in PCSK9 expression, 95% CI = 0.86 to 0.95, P = 5.50 × 10-5) and circulating plasma levels of PCSK9 (OR = 0.93 per SD reduction in PCSK9 protein levels, 95% CI = 0.87 to 0.997, P = 0.04) on PrCa risk. Colocalization analyses identified strong evidence (posterior probability (PPA) = 81.3%) of a shared genetic variant (rs553741) between liver-derived PCSK9 expression and PrCa risk, whereas weak evidence was found for HMGCR (PPA = 0.33%) and NPC1L1 expression (PPA = 0.38%). Moreover, genetically proxied PCSK9 inhibition was strongly associated with Lp(a) levels (Beta = -0.08, 95% CI = -0.12 to -0.05, P = 1.00 × 10-5), but not BMI or testosterone, indicating a possible role for Lp(a) in the biological mechanism underlying the association between PCSK9 and PrCa. Notably, we emphasise that our estimates are based on a lifelong exposure that makes direct comparisons with trial results challenging.

conclusionsOur study supports a strong association between genetically proxied inhibition of PCSK9 and a lower risk of total and early-onset PrCa, potentially through an alternative mechanism other than the on-target effect on LDL-c. Further evidence from clinical studies is needed to confirm this finding as well as the putative mediatory role of Lp(a).

Indexed as

Proprotein Convertase 9Prostatic NeoplasmsCholesterol, LDLGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideTestosteroneCholesterol, LDLPCSK9 protein, humanProprotein Convertase 9Testosterone

Identifiers

PMID36595504
PMCPMC9810198
OpenAlexW4313461963

What Socratic holds

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Registered trials

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 Socratic graph.