Suppr超能文献

银屑病可能增加肺癌风险:一项两样本孟德尔随机化研究。

Psoriasis may increase the risk of lung cancer: a two-sample Mendelian randomization study.

机构信息

Department of Cardiology, Affiliated Hospital of Southwest Jiaotong University, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China.

出版信息

J Eur Acad Dermatol Venereol. 2022 Nov;36(11):2113-2119. doi: 10.1111/jdv.18437. Epub 2022 Jul 28.

Abstract

BACKGROUND

Although many studies have indicated that Psoriasis (PsO) could contribute to the risk of lung cancer, no study has reported a clear causal association between them. Our aim was to explore the potential causal association between PsO and the lung cancer risk using Mendelian randomization (MR) design.

METHODS

To explore a causal association between the PsO and lung cancer, we used large-scale genetic summary data from genome-wide association study (GWAS), including PsO (n = 337 159) and lung cancer (n = 361 586), based on previous observational studies. Our main analyses were conducted by inverse-variance weighted (IVW) method with random-effects model, with a complementary with the other two analyses: weighted median method and MR-Egger approach.

RESULTS

The results of IVW methods demonstrated that genetically predicted PsO was significantly associated with higher odds of lung cancer, with an odds ratio (OR) of 1.06 (95%CI, 1.01-1.12; P = 0.02). Weighted median method and MR-Egger regression also demonstrated directionally similar results (All P < 0.05). In addition, both funnel plots and MR-Egger intercepts indicated no directional pleiotropic effects between PsO and lung cancer.

CONCLUSIONS

Our study provided potential evidence between genetically predicted PsO and lung cancer, which suggested that enhanced screening for lung cancer allows early detection of lung cancer.

摘要

背景

尽管许多研究表明银屑病(PsO)可能会增加肺癌的风险,但尚无研究报告它们之间存在明确的因果关系。我们旨在使用孟德尔随机化(MR)设计来探索 PsO 和肺癌风险之间潜在的因果关系。

方法

为了探索 PsO 和肺癌之间的因果关系,我们使用了来自全基因组关联研究(GWAS)的大规模遗传汇总数据,包括 PsO(n=337159)和肺癌(n=361586),这些数据基于先前的观察性研究。我们的主要分析是通过逆方差加权(IVW)方法和随机效应模型进行的,同时还进行了两种补充分析:加权中位数方法和 MR-Egger 方法。

结果

IVW 方法的结果表明,遗传预测的 PsO 与肺癌的发病风险显著相关,比值比(OR)为 1.06(95%CI,1.01-1.12;P=0.02)。加权中位数方法和 MR-Egger 回归也得出了方向相似的结果(均 P<0.05)。此外,漏斗图和 MR-Egger 截距均表明 PsO 和肺癌之间不存在定向的混杂效应。

结论

本研究提供了遗传预测的 PsO 与肺癌之间的潜在证据,表明增强对肺癌的筛查可以实现早期发现肺癌。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验