Li Jianing, Zhang Yongsheng, Fu Tong, Wang Songyan, Cai Hongbo, Xu Fenghua, Xing Guoli, Tong Ying
Heilongjiang University of Chinese Medicine, Harbin, China.
Harbin Institute of Technology, Harbin, China.
Front Genet. 2024 Dec 2;15:1449205. doi: 10.3389/fgene.2024.1449205. eCollection 2024.
Previous findings on the association between uric acid (UA) levels and cancer risk are conflicting. Moreover, the mechanisms underlying the interactions between UA levels, fatty acid traits, and cancer outcomes remain complex; it is still unclear whether elevated UA levels influence fatty acid traits and, thereby, contribute to an increased cancer risk. Therefore, we aimed to investigate the association between UA levels and cancer risk, with a specific focus on the potential mediating role of fatty acid traits.
We employed a Mendelian randomization (MR) analysis utilizing genetic data from large-scale genome-wide association studies to assess the causal relationships among UA levels, fatty acid traits, and cancer risk. The primary method used was the inverse variance-weighted approach alongside Bayesian-weighted Mendelian randomization. Other MR models were also applied for comparison. Sensitivity analyses, based on various statistical assumptions, were also performed to evaluate the robustness of the findings. A two-step MR analysis was conducted to explore the mediating effects of fatty acid traits on the relationship between UA levels and cancer risk.
Elevated UA levels were associated with an increased risk of neoplasms, cervical cancer, and invasive mucinous ovarian cancer, while they were linked to a decreased risk of cancers of the eye and adnexa, small cell lung cancer, bronchus and lung cancer, respiratory system and intrathoracic organ cancers, as well as lung cancer. Mediation analysis revealed that fatty acid traits, particularly the docosahexaenoic acid/trans fatty acid ratio, mediated the relationship between UA levels and lung cancer risk. These findings underscore the potential of fatty acid traits to mediate the association between UA levels and cancer risk, offering new insights for targeted interventions and potentially improving clinical outcomes.
先前关于尿酸(UA)水平与癌症风险之间关联的研究结果相互矛盾。此外,尿酸水平、脂肪酸特征与癌症结局之间相互作用的潜在机制仍然复杂;目前尚不清楚尿酸水平升高是否会影响脂肪酸特征,进而导致癌症风险增加。因此,我们旨在研究尿酸水平与癌症风险之间的关联,特别关注脂肪酸特征的潜在中介作用。
我们采用孟德尔随机化(MR)分析,利用大规模全基因组关联研究的遗传数据,评估尿酸水平、脂肪酸特征与癌症风险之间的因果关系。主要使用的方法是逆方差加权法以及贝叶斯加权孟德尔随机化。还应用了其他MR模型进行比较。基于各种统计假设进行了敏感性分析,以评估研究结果的稳健性。进行了两步MR分析,以探讨脂肪酸特征对尿酸水平与癌症风险之间关系的中介作用。
尿酸水平升高与肿瘤、宫颈癌和浸润性黏液性卵巢癌风险增加相关,而与眼及附属器癌、小细胞肺癌、支气管和肺癌、呼吸系统和胸腔内器官癌以及肺癌风险降低相关。中介分析表明,脂肪酸特征,特别是二十二碳六烯酸/反式脂肪酸比值,介导了尿酸水平与肺癌风险之间的关系。这些发现强调了脂肪酸特征在介导尿酸水平与癌症风险之间关联方面的潜力,为靶向干预提供了新的见解,并可能改善临床结局。