Department of Medicine and the Meyers Primary Care Institute, University of Massachusetts Medical School, Worcester, MA, USA.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Haematologica. 2018 Oct;103(10):1679-1687. doi: 10.3324/haematol.2017.183236. Epub 2018 Jun 21.
Inflammation and B-cell hyperactivation have been associated with non-Hodgkin lymphoma development. This prospective analysis aimed to further elucidate pre-diagnosis plasma immune marker profiles associated with non-Hodgkin lymphoma risk. We identified 598 incident lymphoma cases and 601 matched controls in Nurses' Health Study and Health Professionals Follow-up Study participants with archived pre-diagnosis plasma samples and measured 13 immune marker levels with multiplexed immunoassays. Using multivariable logistic regression we calculated Odds Ratios (OR) and 95% Confidence Intervals (CI) per standard deviation unit increase in biomarker concentration for risk of non-Hodgkin lymphoma and major histological subtype, stratifying additional models by years (<5, 5 to <10, ≥10) after blood draw. Soluble interleukin-2 receptor-α, CXC chemokine ligand 13, soluble CD30, and soluble tumor necrosis factor receptor-2 were individually positively associated, and B-cell activating factor of the tumor necrosis factor family inversely associated, with all non-Hodgkin lymphoma and one or more subtypes. The biomarker combinations associated independently with lymphoma varied somewhat by subtype and years after blood draw. Of note, the unexpected inverse association between B-cell activating factor and chronic lymphocytic leukemia/small lymphocytic lymphoma risk (OR: 95%CI: 0.51, 0.43-0.62) persisted more than ten years after blood draw (OR: 0.70; 95%CI: 0.52-0.93). In conclusion, immune activation precedes non-Hodgkin lymphoma diagnosis by several years. Decreased B-cell activating factor levels may denote nascent chronic lymphocytic leukemia many years pre-diagnosis.
炎症和 B 细胞过度激活与非霍奇金淋巴瘤的发生有关。本前瞻性分析旨在进一步阐明与非霍奇金淋巴瘤风险相关的发病前血浆免疫标志物特征。我们在护士健康研究和健康专业人员随访研究的参与者中确定了 598 例新发淋巴瘤病例和 601 例匹配对照,这些参与者有存档的发病前血浆样本,并使用多重免疫分析测量了 13 种免疫标志物水平。我们使用多变量逻辑回归计算了生物标志物浓度每增加一个标准差单位与非霍奇金淋巴瘤和主要组织学亚型风险的比值比 (OR) 和 95%置信区间 (CI) ,并通过采血后年份 (