Yiming Shao, Rui Hao, Si Si Lin, Ba-Fang Ma, Jun-Nan Ye, Mayila Maimaiti, Yasen Maimaitiyiming
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引用次数: 0
Abstract
Background: The causal relationship between lipoprotein traits and the risk of pancre-atic cancer (PC) remains unclear. In this study, we employed a two-sample Mendelian randomiza-tion (MR) approach to explore the untangled relationship between lipoprotein traits and PC.
Methods: Univariable MR analyses were used to determine the causal connection between lipo-protein traits and PC. Instrumental variables corresponding to lipoprotein traits were taken from the Global Lipids Genetics Consortium (GLGC) (n = 188,578). The outcome dataset was created from PC summary-level data (n case = 1896, n control = 1939) from a genome-wide association study of European ancestry. Causal effects were evaluated using the inverse variance weighted (IVW) method. For sensitivity analysis, both the weighted median (WM) and MR-Egger methods, among others, were utilized. We also conducted multivariable MR analyses to examine potential confounders.
Results: In univariable MR, IVW methods supported evidence that HDL cholesterol (OR = 0.463, 95% CI: 0.313-0.685; P = 1.10×10-4) was linked with a decreased risk of PC. These findings were consistent across other MR methods, including MR-Egger (OR = 0.340, 95% CI: 0.182-0.638; P = 1.30×10-3) and WM (OR = 0.367, 95% CI: 0.195-0.692; P = 1.90×10-3). Our results displayed no significant heterogeneity or horizontal pleiotropy. Furthermore, these associations persisted in the multivariable MR analysis after adjusting for confounding factors such as smok-ing, alcohol consumption, and body mass index (BMI).
Conclusions: Our comprehensive MR analyses consistently demonstrate a protective association between higher HDL cholesterol levels and decreased PC risk, even after adjustments for key life-style factors and BMI.
期刊介绍:
Current Cancer Drug Targets aims to cover all the latest and outstanding developments on the medicinal chemistry, pharmacology, molecular biology, genomics and biochemistry of contemporary molecular drug targets involved in cancer, e.g. disease specific proteins, receptors, enzymes and genes.
Current Cancer Drug Targets publishes original research articles, letters, reviews / mini-reviews, drug clinical trial studies and guest edited thematic issues written by leaders in the field covering a range of current topics on drug targets involved in cancer.
As the discovery, identification, characterization and validation of novel human drug targets for anti-cancer drug discovery continues to grow; this journal has become essential reading for all pharmaceutical scientists involved in drug discovery and development.