基于孟德尔随机化分析探讨41种炎症因子与8种血液系统恶性肿瘤的关联

Exploring association between 41 inflammatory factors and eight hematological malignancies based on Mendelian randomization

  • 摘要:
    目的 探讨41种炎症因子水平变化与8种常见血液系统恶性肿瘤(HMs)的关联,为HMs的病因探索及早期预防提供参考。
    方法 使用41种炎症因子的全基因组关联研究(GWAS)数据作为暴露,8种常见HMs的GWAS数据作为结局,分别为急性髓系白血病(AML)、急性淋巴细胞白血病(ALL)、慢性粒细胞白血病(CML)、慢性淋巴细胞白血病(CLL)、弥漫大B细胞淋巴瘤(DLBCL)、滤泡性淋巴瘤(FL)、霍奇金淋巴瘤(HL)、多发性骨髓瘤(MM),首先进行单变量孟德尔随机化(MR)分析,以评估炎症因子水平与HMs发病间的因果关系;随后进行多变量MR分析,确定与HMs发病具有独立遗传关联的炎症因子;最后进行反向MR分析,评估HMs对炎症因子水平的影响。
    结果 白细胞介素-16(IL-16)是AML发病的危险因素(OR=1.832);IL-8是CML发病危险因素(OR=4.231);IL-8是CLL发病保护因素(OR=0.345),调节激活正常T细胞表达和分泌细胞因子水平是CLL发病危险因素(OR=2.224);碱性成纤维细胞生长因子水平是DLBCL发病保护因素(OR=0.220);血管内皮生长因子水平是MM发病危险因素(OR=1.235)。反向MR未发现HMs与IFs的遗传关联。
    结论 特定IFs与HMs风险之间的因果关联,提示特定IFs可能作为疾病标志物和治疗靶点,为HMs的早期诊断、预防提供参考。

     

    Abstract:
    OBJECTIVE To investigate the association between changes in the levels of 41 inflammatory factors and 8 common hematological malignancies (HMs), providing a reference for exploring the etiology and early prevention of HMs.
    METHODS Genome-wide association study (GWAS) data for 41 inflammatory factors were used as exposures, and GWAS data for eight common HMs were used as outcomes, including acute myeloid leukemia (AML), acute lymphoblastic leukemia (ALL), chronic myeloid leukemia (CML), chronic lymphocytic leukemia (CLL), diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Hodgkin lymphoma (HL) and multiple myeloma (MM). Univariate Mendelian randomization (MR) analysis was first performed to assess the causal relationship between inflammatory factor levels and the pathogenesis of HMs. Subsequently, multivariate MR analysis was conducted to identify inflammatory factors independently genetically associated with the pathogenesis of HMs. Finally, reverse MR analysis was performed to evaluate the influence of HMs on inflammatory factor levels.
    RESULTS The interleukin-16 (IL-16) was identified as a risk factor for the pathogenesis of AML (OR=1.832). The IL-8 was a risk factor for the pathogenesis of CML (OR=4.231) but a protective factor for the pathogenesis of CLL (OR=0.345). The regulated upon activation normal T-cell expressed and secreted (RANTES) were risk factors for the pathogenesis of CLL (OR=2.224). The basic fibroblast growth factor (bFGF) was a protective factor for the pathogenesis of DLBCL (OR=0.220). The vascular endothelial growth factor (VEGF) was a risk factor for the pathogenesis of MM (OR=1.235). Reverse MR analysis did not reveal any genetic association between HMs and inflammatory factors.
    CONCLUSION The causal associations between specific inflammatory factors and HM risk suggest that these factors may serve as disease markers and therapeutic targets, providing a reference for early diagnosis and prevention of HMs.

     

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