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The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.

Authors :
Anna Ioannidou
Eleanor L Watts
Aurora Perez-Cornago
Elizabeth A Platz
Ian G Mills
Timothy J Key
Ruth C Travis
PRACTICAL consortium, CRUK, BPC3, CAPS, PEGASUS
Konstantinos K Tsilidis
Verena Zuber
Source :
PLoS Medicine, Vol 19, Iss 1, p e1003859 (2022)
Publication Year :
2022
Publisher :
Public Library of Science (PLoS), 2022.

Abstract

BackgroundNumerous epidemiological studies have investigated the role of blood lipids in prostate cancer (PCa) risk, though findings remain inconclusive to date. The ongoing research has mainly involved observational studies, which are often prone to confounding. This study aimed to identify the relationship between genetically predicted blood lipid concentrations and PCa.Methods and findingsData for low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides (TG), apolipoprotein A (apoA) and B (apoB), lipoprotein A (Lp(a)), and PCa were acquired from genome-wide association studies in UK Biobank and the PRACTICAL consortium, respectively. We used a two-sample summary-level Mendelian randomisation (MR) approach with both univariable and multivariable (MVMR) models and utilised a variety of robust methods and sensitivity analyses to assess the possibility of MR assumptions violation. No association was observed between genetically predicted concentrations of HDL, TG, apoA and apoB, and PCa risk. Genetically predicted LDL concentration was positively associated with total PCa in the univariable analysis, but adjustment for HDL, TG, and Lp(a) led to a null association. Genetically predicted concentration of Lp(a) was associated with higher total PCa risk in the univariable (ORweighted median per standard deviation (SD) = 1.091; 95% CI 1.028 to 1.157; P = 0.004) and MVMR analyses after adjustment for the other lipid traits (ORIVW per SD = 1.068; 95% CI 1.005 to 1.134; P = 0.034). Genetically predicted Lp(a) was also associated with advanced (MVMR ORIVW per SD = 1.078; 95% CI 0.999 to 1.163; P = 0.055) and early age onset PCa (MVMR ORIVW per SD = 1.150; 95% CI 1.015,1.303; P = 0.028). Although multiple estimation methods were utilised to minimise the effect of pleiotropy, the presence of any unmeasured pleiotropy cannot be excluded and may limit our findings.ConclusionsWe observed that genetically predicted Lp(a) concentrations were associated with an increased PCa risk. Future studies are required to understand the underlying biological pathways of this finding, as it may inform PCa prevention through Lp(a)-lowering strategies.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
15491277 and 15491676
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
PLoS Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.594d7c6f1cfc4afda76b10cd06a6d8f5
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pmed.1003859