Cai Xianfu, Wang Decai, Ding Chenguang, Li Yang, Zheng Jin, Xue Wujun
Department of Renal Transplantation, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Department of Urology, Mianyang Hospital Affiliated to School of Medicine, University of Electronic Science and Technology of China Mianyang Central Hospital, Mianyang, China.
Front Oncol. 2024 Aug 29;14:1381803. doi: 10.3389/fonc.2024.1381803. eCollection 2024.
Prostate cancer (PCa) is one of the most prevalent malignancies affecting males; however, the role of inflammatory activity in the pathogenesis of this disease is not yet fully elucidated. Although inflammation is recognized as being closely associated with the onset and progression of PCa, the specific causal relationships between individual inflammatory factors and the disease require further clarification.
Mendelian randomization (MR) methodologies can mitigate bias by utilizing whole-genome sequencing data, leveraging specific genetic variants to assess causal relationships between a given exposure and an outcome of interest. This research employed an MR approach to investigate the association between inflammatory cytokines and PCa.
In total, 44 inflammatory cytokines were evaluated in a large GWAS dataset to enable the drawing of robust conclusions. Elevated circulating C-reactive protein (CRP) and prostaglandin E2 (PGE-2) levels were related to greater PCa risk. The reverse Mendelian randomization (MR) study indicates a causal relationship between prostate cancer and stem cell factor (SCF) (=0.025).
CRP and PGE-2 play crucial roles in the regulation of PCa development. Moreover, PCa may have an impact on SCF levels. Further research is imperative to elucidate whether these biomarkers can be effectively utilized to prevent or treat PCa.
前列腺癌（PCa）是影响男性的最常见恶性肿瘤之一；然而，炎症活动在该疾病发病机制中的作用尚未完全阐明。尽管炎症被认为与PCa的发生和进展密切相关，但个体炎症因子与该疾病之间的具体因果关系仍需进一步明确。
孟德尔随机化（MR）方法可以通过利用全基因组测序数据来减轻偏差，利用特定的基因变异来评估给定暴露与感兴趣结果之间的因果关系。本研究采用MR方法来研究炎症细胞因子与PCa之间的关联。
在一个大型全基因组关联研究（GWAS）数据集中总共评估了44种炎症细胞因子，以便得出可靠的结论。循环中C反应蛋白（CRP）和前列腺素E2（PGE-2）水平升高与更高的PCa风险相关。反向孟德尔随机化（MR）研究表明前列腺癌与干细胞因子（SCF）之间存在因果关系（=0.025）。
CRP 和 PGE-2 在 PCa 发展的调节中起关键作用。此外，PCa 可能会影响 SCF 水平。必须进行进一步的研究以阐明这些生物标志物是否可以有效地用于预防或治疗 PCa。
