Lu Chaoqun, Wang Minghui, Li Jiang, Xian Huajian, Huang Zixuan, Wang Yixin, Xie Shufeng, Zhang Wenjie, Yu YaoYifu, Zheng Huijian, Li Dan, Zheng Yuling, Liu Han, Zhao Chunjun
Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Hematology. 2025 Dec;30(1):2538327. doi: 10.1080/16078454.2025.2538327. Epub 2025 Jul 30.
Although a substantial body of research has underscored the pivotal role of inflammatory proteins in hematologic malignancies, precise understanding of the underlying mechanisms is limited. Therefore, it's necessary to explore the possible causal relationships between specific circulating inflammatory proteins and these malignancies by using a genome-wide association approach.
To evaluate the possible causal effects, we performed a two-sample Mendelian randomization (MR) study. Summary statistics for 91 proteins, sourced from large-scale genome-wide association studies, were integrated with data on 11 hematologic malignancies from the FinnGen consortium. Inverse variance weighting was applied as the primary method for MR analysis, with detailed sensitivity analyses conducted to ensure robustness. Furthermore, protein-protein interaction analysis and cross-cancer effect assessments were performed to identify potential common drug targets.
Our analysis demonstrated both positive and negative associations of circulating inflammatory proteins on the development of 11 hematologic malignancies. Nine proteins exhibited cross-cancer effects. MCP-1, CXCL8, IL-1α, and SCF were associated with an increased risk of hematologic malignancies, while IFN-γ, IL-10, CD40, SULT1A1, and CXCL5 were associated with a reduced risk.
The results of the study provided possible causal evidence for the involvement of circulating inflammatory proteins in the pathogenesis of eleven hematologic malignancies. Nine proteins with cross-cancer effects were of special interest, and their potential as targets in the therapeutic intervention of blood malignancies was highlighted.
尽管大量研究强调了炎症蛋白在血液系统恶性肿瘤中的关键作用,但对其潜在机制的精确理解仍然有限。因此,有必要通过全基因组关联方法探索特定循环炎症蛋白与这些恶性肿瘤之间可能的因果关系。
为了评估可能的因果效应,我们进行了一项两样本孟德尔随机化(MR)研究。从大规模全基因组关联研究中获取的91种蛋白质的汇总统计数据,与来自芬兰基因联盟的11种血液系统恶性肿瘤的数据相结合。逆方差加权被用作MR分析的主要方法,并进行了详细的敏感性分析以确保稳健性。此外,还进行了蛋白质-蛋白质相互作用分析和跨癌效应评估,以确定潜在的共同药物靶点。
我们的分析表明,循环炎症蛋白与11种血液系统恶性肿瘤的发生存在正相关和负相关。9种蛋白质表现出跨癌效应。单核细胞趋化蛋白-1(MCP-1)、趋化因子配体8(CXCL8)、白细胞介素-1α(IL-1α)和干细胞因子(SCF)与血液系统恶性肿瘤风险增加相关,而干扰素-γ(IFN-γ)、白细胞介素-10(IL-10)、肿瘤坏死因子受体超家族成员4(CD40)、磺基转移酶1A1(SULT1A1)和趋化因子配体5(CXCL5)与风险降低相关。
该研究结果为循环炎症蛋白参与11种血液系统恶性肿瘤的发病机制提供了可能的因果证据。9种具有跨癌效应的蛋白质特别值得关注,突出了它们作为血液恶性肿瘤治疗干预靶点的潜力。