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

<h4>Background</h4>Numerous 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 aime...

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Main 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
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Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS Medicine
Online Access:https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1003859&type=printable
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author 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
author_facet 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
author_sort Anna Ioannidou
collection DOAJ
description <h4>Background</h4>Numerous 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.<h4>Methods and findings</h4>Data 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.<h4>Conclusions</h4>We 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.
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spelling doaj-art-594d7c6f1cfc4afda76b10cd06a6d8f52025-08-20T02:23:28ZengPublic Library of Science (PLoS)PLoS Medicine1549-12771549-16762022-01-01191e100385910.1371/journal.pmed.1003859The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.Anna IoannidouEleanor L WattsAurora Perez-CornagoElizabeth A PlatzIan G MillsTimothy J KeyRuth C TravisPRACTICAL consortium, CRUK, BPC3, CAPS, PEGASUSKonstantinos K TsilidisVerena Zuber<h4>Background</h4>Numerous 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.<h4>Methods and findings</h4>Data 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.<h4>Conclusions</h4>We 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.https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1003859&type=printable
spellingShingle 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
The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
PLoS Medicine
title The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
title_full The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
title_fullStr The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
title_full_unstemmed The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
title_short The relationship between lipoprotein A and other lipids with prostate cancer risk: A multivariable Mendelian randomisation study.
title_sort relationship between lipoprotein a and other lipids with prostate cancer risk a multivariable mendelian randomisation study
url https://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1003859&type=printable
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