SFRP2 mediates Epstein-Barr virus and bladder cancer risk: a Mendelian randomization study and colocalization analysis.

IF 4.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Reports Pub Date : 2025-02-28 DOI:10.1038/s41598-025-91594-9
Jian Li, Bing Yang, Lei Guo, Wenqi Huang, Qiong Hu, Hongting Yan, Changpu Du, Rong Tan, Dongxin Tang
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Abstract

Studies suggest a possible association between Epstein-Barr virus (EBV) infection and bladder cancer (BCa) risk, though this remains unclear. Secreted frizzled-related protein (sFRP) is also linked to BCa, with some DNA viruses potentially regulating its expression. This study used Mendelian randomization (MR) and colocalization analysis to explore the causal relationship between EBV infection, BCa risk, and the mediating role of sFRP. We first performed a two-sample MR study to assess the causal relationship between 5 EBV-related antibodies (AEB-IgG, EA-D, EBNA-1, VCA-p18, ZEBRA) and BCa using the Finnish Consortium's R11 dataset, validated with R10. Reverse MR analysis followed. For significant results, multivariable MR (MVMR) was applied to adjust for confounding risk factors. A two-step MR explored the potential mediating role of 3 sFRPs (sFRP1, sFRP2, sFRP3) between positive exposures and BCa. Colocalization analysis were conducted for positive exposures, mediators, and BCa, with multiple sensitivity analyses confirming the robustness of the results. The two-sample Mendelian randomization study found that EBNA-1 (OR = 1.15, 95% CI: 1.01-1.30; p = 0.039) and VCA-p18 (OR = 1.36, 95% CI: 1.13-1.64; p = 0.001) may increase BCa risk, with only VCA-p18 (P_fdr = 0.006) showing a significant effect after False Discovery Rate (FDR) correction. The Finnish Consortium R10 replication study yielded similar results, and reverse MR analysis did not suggest reverse causality. After MVMR adjusted for relevant confounders, VCA-p18 (OR = 1.40, 95% CI: 1.13-1.74; p = 0.002) still significantly increased BCa risk. Two-step MR identified sFRP2 as a mediator, with VCA-p18 down-regulating sFRP2 expression to elevate BCa risk. Colocalization analysis suggested a shared causal variant (nearby gene HLA-DQA1) between VCA-p18 and BCa (PPH4 = 65.44%). Multiple sensitivity analyses confirmed the robustness of the results. Our study suggests that EBV infection (VCA-p18 antibody) may increase the risk of BCa by lowering sFRP2 levels. Additionally, EBNA-1 antibodies may also contribute to an elevated risk of BCa. We hope these findings will provide new insights for future research on the association between EBV and BCa.

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SFRP2介导Epstein-Barr病毒和膀胱癌风险:孟德尔随机研究和共定位分析
研究表明,eb病毒(EBV)感染与膀胱癌(BCa)风险之间可能存在关联,尽管这一点尚不清楚。分泌的卷曲相关蛋白(sFRP)也与BCa有关,一些DNA病毒可能调节其表达。本研究采用孟德尔随机化(MR)和共定位分析来探讨EBV感染、BCa风险和sFRP介导作用之间的因果关系。我们首先使用芬兰联盟的R11数据集进行了两样本MR研究,以评估5种ebv相关抗体(AEB-IgG、EA-D、EBNA-1、VCA-p18、ZEBRA)与BCa之间的因果关系,并使用R10进行验证。随后进行反向磁共振分析。对于显著的结果,应用多变量MR (MVMR)来调整混杂的危险因素。两步磁共振成像研究了3种sFRPs (sFRP1, sFRP2, sFRP3)在阳性暴露和BCa之间的潜在介导作用。对阳性暴露、介质和BCa进行共定位分析,多重敏感性分析证实了结果的稳健性。双样本孟德尔随机化研究发现EBNA-1 (OR = 1.15, 95% CI: 1.01-1.30;p = 0.039)和VCA-p18 (OR = 1.36, 95% CI: 1.13-1.64;p = 0.001)可能增加BCa风险,只有VCA-p18 (P_fdr = 0.006)在错误发现率(FDR)校正后显示出显著影响。芬兰联盟R10重复研究也得出了类似的结果,反向MR分析并没有表明反向因果关系。MVMR校正相关混杂因素后,VCA-p18 (OR = 1.40, 95% CI: 1.13-1.74;p = 0.002)仍显著增加BCa风险。两步MR鉴定了sFRP2作为中介,VCA-p18下调sFRP2的表达以提高BCa的风险。共定位分析显示VCA-p18与BCa之间存在共同的因果变异(邻近基因HLA-DQA1) (PPH4 = 65.44%)。多重敏感性分析证实了结果的稳健性。我们的研究表明EBV感染(VCA-p18抗体)可能通过降低sFRP2水平来增加BCa的风险。此外,EBNA-1抗体也可能导致BCa风险升高。我们希望这些发现能够为今后研究EBV与BCa之间的关系提供新的见解。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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