Chen Bing, Chen Jun, Chen Zhi-Tao, Feng Zhang-Peng, Lv Han-Bei, Jiang Guo-Ping
School of Medicine, Zhejiang Chinese Medical University, Hangzhou 310022, Zhejiang Province, China.
Department of General Surgery, The Second People's Hospital of Guizhou Province, Hangzhou 310022, Zhejiang Province, China.
World J Gastrointest Oncol. 2025 Jul 15;17(7):108455. doi: 10.4251/wjgo.v17.i7.108455.
Intrahepatic cholangiocarcinoma (ICC) is a highly malignant liver cancer subtype with limited effective treatment options. Emerging evidence suggests that inflammatory factors play a critical role in ICC progression within the tumor microenvironment (TME). However, causal relationships between specific inflammatory factors and ICC risk remain unclear.
To investigate the causal relationship between inflammatory factors and ICC.
This study used Mendelian randomization (MR) and Bayesian weighted MR (BWMR) analyses to investigate the causal impact of inflammatory factors on ICC risk. Genetic data from genome-wide association studies were utilized to identify and validate instrumental variables for 91 inflammatory factors, followed by sensitivity analyses to ensure robustness.
MR analysis identified significant associations between elevated levels of artemin and matrix metalloproteinase (MMP)-10 and increased ICC risk. BWMR and meta-MR analysis results validated these associations. Sensitivity analyses confirmed the stability of these findings, indicating that specific inflammatory factors may contribute causally to ICC development.
This study provides evidence that certain inflammatory factors, particularly artemin and MMP-10, are causally linked to ICC risk, identifying them as potential risk factors and therapeutic targeting. These findings enhance the understanding of the inflammatory components of the TME in ICC, supporting the development of targeted intervention strategies.
肝内胆管癌(ICC)是一种高度恶性的肝癌亚型,有效治疗选择有限。新出现的证据表明,炎症因子在肿瘤微环境(TME)中的ICC进展中起关键作用。然而,特定炎症因子与ICC风险之间的因果关系仍不清楚。
研究炎症因子与ICC之间的因果关系。
本研究采用孟德尔随机化(MR)和贝叶斯加权MR(BWMR)分析来研究炎症因子对ICC风险的因果影响。利用全基因组关联研究的遗传数据来识别和验证91种炎症因子的工具变量,随后进行敏感性分析以确保结果的稳健性。
MR分析确定了Artemin和基质金属蛋白酶(MMP)-10水平升高与ICC风险增加之间存在显著关联。BWMR和meta-MR分析结果验证了这些关联。敏感性分析证实了这些发现的稳定性,表明特定炎症因子可能对ICC发展有因果作用。
本研究提供了证据,表明某些炎症因子,特别是Artemin和MMP-10,与ICC风险存在因果联系,将它们确定为潜在风险因素和治疗靶点。这些发现加深了对ICC中TME炎症成分的理解,支持了靶向干预策略的开发。