The effect of lipidomes on the risk of endometrioid endometrial cancer: a Mendelian randomization study.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2024-10-18 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1436955
Yaochen Lou, Feng Jiang, Jun Guan
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Abstract

Objective: This study aimed to explore the potential effects between various human plasma lipidomes and endometrioid endometrial cancer (EEC) by using Mendelian randomization (MR) methods.

Methods: This study designated a total of 179 human plasma lipidomes from the genome-wide association study (GWAS) database as the exposure variable. An EEC-related dataset from the GWAS (GCST006465) served as the outcome variable. MR analyses used the inverse variance-weighted method (IVW), MR-Egger, weighted median, simple mode, and weighted mode methods for regression calculations, accounting for possible biases induced by linkage disequilibrium and weak instrument variables. Any lipidomes failing to pass heterogeneity and horizontal pleiotropy tests were deemed to lack significant causal impact on the outcome.

Results: The results of IVW analysis disclosed that a variety of human plasma lipidomes (n = 15) exhibited a significant causal effect on EEC (p < 0.05). A subset of these lipidomes (n = 13) passed heterogeneity and horizontal pleiotropy tests, which demonstrated consistent and viable causal effects (p < 0.05) including glycerophospholipids, glycerolipids, and sterols. Specifically, phosphatidylcholine (odds ratio [OR]: 1.065-1.129, p < 0.05) exhibited a significant positive causal effect on the occurrence of EEC. Conversely, sterol ester (OR = 0.936, p = 0.007), diacylglycerol (OR = 0.914, p = 0.036), phosphatidylcholine (OR: 0.903-0.927, p < 0.05), phosphatidylethanolamine (OR = 0.907, p = 0.046) and triacylglycerol (OR: 0.880-0.924, p < 0.05) showed a notable negative causal association with EEC, suggesting their inhibitory effects on the EEC occurrence.

Conclusions: The study revealed that human plasma lipidomes have complex impacts on EEC through Mendelian randomization. This indicated that the diversity of structural changes in lipidomes could show different effects on subtypes and then affect EEC occurrence. Although these lipids had the potential to be promising biomarkers, they needed to be further clinically validated nevertheless.

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脂质体对子宫内膜癌风险的影响:孟德尔随机研究。
研究目的本研究旨在利用孟德尔随机化(MR)方法探讨各种人类血浆脂质体与子宫内膜样内膜癌(EEC)之间的潜在影响:本研究将全基因组关联研究(GWAS)数据库中的179个人类血浆脂质体指定为暴露变量。全基因组关联研究(GWAS)数据库中的一个 EEC 相关数据集(GCST006465)作为结果变量。MR分析使用了反方差加权法(IVW)、MR-Egger、加权中位数、简单模式和加权模式等方法进行回归计算,并考虑了连锁不平衡和弱工具变量可能引起的偏差。未能通过异质性和水平多向性检验的脂质体被认为对结果缺乏显著的因果影响:IVW分析结果显示,多种人体血浆脂质体(n = 15)对EEC具有显著的因果影响(p 结论:IVW分析结果显示,人体血浆脂质体对EEC具有显著的因果影响:该研究通过孟德尔随机化揭示了人体血浆脂质体对 EEC 的复杂影响。这表明脂质体结构变化的多样性会对亚型产生不同的影响,进而影响 EEC 的发生。虽然这些脂质有可能成为有前途的生物标记物,但仍需进一步临床验证。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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