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

被引:27
|
作者
Fang, Si M. [1 ,2 ]
Yarmolinsky, James [1 ,2 ]
Gill, Dipender R. [3 ,4 ]
Bull, Caroline G. [1 ,2 ,5 ,6 ]
Perks, Claire [6 ]
Smith, George Davey [1 ,2 ]
Gaunt, Tom [1 ,2 ]
Richardson, Tom [1 ,2 ]
机构
[1] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, England
[2] Univ Bristol, MRC, Integrat Epidemiol Unit IEU, Bristol, England
[3] Novo Nordisk, Chief Sci Advisor Off, Res & Early Dev, Copenhagen, Denmark
[4] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, London, England
[5] Univ Bristol, Bristol Heart Inst, Bristol Med Sch, Bristol Renal, Bristol, England
[6] Southmead Hosp, Bristol Med Sch, IGF & Metab Endocrinol Grp, Translat Hlth Sci, Learning & Res Bldg, Bristol, England
基金
英国惠康基金; 英国医学研究理事会;
关键词
SUBTILISIN/KEXIN TYPE 9; CARDIOVASCULAR-DISEASE; CHOLESTEROL; COLOCALIZATION; METASTASIS; REGRESSION; VARIANTS; MELANOMA; LIPIDS; BLOOD;
D O I
10.1371/journal.pmed.1003988
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 x 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 x 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 x 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 x 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). Author summary Why was this study done? Prostate cancer is the second most diagnosed malignancy in men globally.Previous studies have provided conflicting evidence regarding a relationship between elevated low-density lipoprotein (LDL) cholesterol and prostate cancer risk.The aim of this study was to examine the association between genetically proxied inhibition of lipid-lowering drug targets (i.e., PCSK9, NPC1L1, HMGCR) and prostate cancer using evidence from multiple datasets and analytical methods. What did the researchers do and find? Using genetic variants associated with LDL cholesterol, liver-derived gene expression, and plasma protein levels, the researchers applied drug target Mendelian randomisation (MR) and colocalization to examine the association between lipid-lowering drug targets and the risk of overall, early-onset, and advanced prostate cancer. Additional MR analyses were conducted to explore putative mediators of drug effects.This study provided evidence of an association between genetically proxied PCSK9 inhibition and lower risk of overall and early-onset prostate cancer supported by both MR and colocalization approaches.Follow-up analyses of genetically proxied PCSK9 inhibition highlighted a potential mediatory role for Lp(a) along the causal pathway to lower prostate cancer risk. What do these findings mean? PCSK9 inhibition may be involved in biological mechanisms that reduce the risk of overall and early-onset prostate cancer, potentially through the regulation of Lp(a).However, functional validation is necessary to confirm these findings, as well as future research to further evaluate the relationship between lipid-lowering drug targets and advanced prostate cancer risk.
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页数:23
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