Lipids, lipid-lowering drug target genes and pancreatic cancer: a Mendelian randomization study

Read the full article See related articles

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Background Pancreatic cancer (PC) is a malignant tumor with a low survival rate. Lipid modifiers show potential for PC therapy, but evidence is lacking. This Mendelian Randomization (MR) study aimed to explore the relationship between lipid traits, and lipid-lowering drug target genes with PC risk. Methods We used genetic instrumental variables associated with lipid traits and lipid-lowering drug target genes to conduct MR analyses with PC risk. MR estimation utilized genome-wide association study (GWAS) data from two substantial sample sets, which were meta-analyzed to evaluate their influence on PC risk. To confirm the reliability of lipid modification drug targets, a Summary Data-based Mendelian Randomization (SMR) analysis was conducted. Additionally, a two-step MR (TSMR) analysis was implemented to investigate potential mediating roles. Result In the Discovery Dataset, HMGCR inhibition was statistically associated with a lower risk of PC (OR = 0.46, [95% CI, 0.22–0.97]; p  = 0.0404), and did not show statistical significance in the Replication Dataset, but the result of the meta-analysis reached statistical significance (OR = 0.50, [95% CI, 0.25-1.00]; p  = 0.0453). The SMR analysis enhanced the robustness of the results (OR = 0.51, [95% CI, 0.28–0.96]; p  = 0.0369). Furthermore, mediation analysis revealed that lowering BMI levels mediated the protective effect of HMGCR inhibitors on PC (mediation effect: OR = 0.91, [95% CI,0.84–0.97], mediation proportion:11.69%, [95% CI, 10.04%-13.61%]). Conclusions This study found that HMGCR inhibitors were significantly associated with the risk of PC, suggesting that HMGCR has the potential to be a candidate drug target for the treatment or prevention of PC.

Article activity feed