Whether rheumatoid arthritis patients have an increased risk of cervical cancer remains controversial, and further research is needed on this clinical question. This study aims to investigate the association between rheumatoid arthritis and the susceptibility to cervical cancer by employing Mendelian randomization methodology, utilizing the extensive dataset from human genome-wide association data analysis. The publicly accessible MR base database was utilized to obtain the complete genome, relevant research findings, and summarized data pertaining to rheumatoid arthritis and cervical cancer. Genetic tool variables, specifically single-nucleotide polymorphisms closely linked to rheumatoid arthritis, were chosen for analysis. Four methods, namely inverse variance weighted analysis, weighted median analysis, weighted mode, and MR-Egger regression, were employed. Statistical analysis was conducted to explore the potential association between rheumatoid arthritis and susceptibility to cervical cancer. The results of the inverse variance weighted analysis (OR = 1.096, 95% CI: 1.018–1.180, P = 0.015) indicate a significant causal relationship between rheumatoid arthritis and an increased risk of cervical cancer. Furthermore, the absence of horizontal pleiotropic effects (MR-Egger intercept = 0.00025, P = 0.574) and heterogeneity (QEgger = 2.239, I2Egger = 0.225, PEgger = 0.268, QIVW = 2.734, I2IVW = 0.220, PIVW = 0.999) suggests that the observed association is not influenced by confounding factors. Sensitivity analysis and other statistical methods also support the conclusion that genetic pleiotropy does not introduce bias to the findings. There is a causal relationship between rheumatoid arthritis and the occurrence of cervical cancer. People with rheumatoid arthritis is one of the high-risk groups for early screening of cervical cancer. The IL-18 may play a significant role in elevating the risk of cervical cancer among rheumatoid arthritis patients.

中文翻译：

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探索类风湿性关节炎与宫颈癌风险之间的因果关系：双样本孟德尔随机研究

类风湿性关节炎患者患宫颈癌的风险是否增加仍存在争议，这一临床问题还需要进一步研究。本研究旨在通过采用孟德尔随机化方法，利用人类全基因组关联数据分析的广泛数据集，研究类风湿性关节炎与宫颈癌易感性之间的关联。利用可公开访问的 MR 基础数据库来获取完整的基因组、相关研究结果以及与类风湿性关节炎和宫颈癌相关的汇总数据。选择遗传工具变量，特别是与类风湿性关节炎密切相关的单核苷酸多态性进行分析。采用了四种方法，即反方差加权分析、加权中值分析、加权模式和MR-Egger回归。进行统计分析以探讨类风湿性关节炎与宫颈癌易感性之间的潜在关联。逆方差加权分析结果（OR = 1.096，95% CI：1.018-1.180，P = 0.015）表明类风湿性关节炎与宫颈癌风险增加之间存在显着因果关系。此外，不存在水平多效性效应（MR-Egger 截距 = 0.00025，P = 0.574）和异质性（QEgger = 2.239，I2Egger = 0.225，PEgger = 0.268，QIVW = 2.734，I2IVW = 0.220，PIVW = 0.999）表明观察到的关联不受混杂因素的影响。敏感性分析和其他统计方法也支持遗传多效性不会给研究结果带来偏差的结论。类风湿性关节炎与宫颈癌的发生存在因果关系。类风湿性关节炎患者是宫颈癌早期筛查的高危人群之一。IL-18可能在增加类风湿性关节炎患者患宫颈癌的风险中发挥重要作用。