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B 细胞活化标志物与非霍奇金淋巴瘤风险的关系。

Markers of B-cell activation in relation to risk of non-Hodgkin lymphoma.

机构信息

Program in Epidemiology, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024, USA.

出版信息

Cancer Res. 2012 Sep 15;72(18):4733-43. doi: 10.1158/0008-5472.CAN-12-1639. Epub 2012 Jul 30.

Abstract

B-cell activation biomarkers have been associated with increased risk of non-Hodgkin lymphoma (NHL) in HIV-infected populations. However, whether a similar association may exist in general populations has not been established. We conducted a case-control study within the Women's Health Initiative Observational Study cohort to measure the B-cell activation biomarkers sCD23, sCD27, sCD30, sCD44, and CXCL13 in serum samples collected an average of 6 years before NHL diagnosis in 491 cases and 491 controls. Using logistic regression to estimate odds ratios, we observed strong associations between NHL and markers for all B-cell NHL and for major subtypes. Women with marker levels in the highest-versus-lowest quartile categories of CD23, CD27, CD30, or CXCL13 were at 2.8- to 5.5-fold increased risk of B-NHL. In addition, there were significant trends of risk with increasing levels of these markers present. Associations were strongest for cases with shortest lag times between blood draw and diagnosis (<3 years). However, there were also significant associations for cases with the longest prediagnostic lag (9 to 13 years). Taken together, our findings indicate a prominent role for B-cell activation among postmenopausal women in the etiology of B-cell NHL and/or in processes reflective of early disease development as early as 9 years before diagnosis.

摘要

B 细胞激活生物标志物与 HIV 感染人群中非霍奇金淋巴瘤(NHL)风险增加相关。然而,在一般人群中是否存在类似的关联尚未确定。我们在妇女健康倡议观察研究队列中进行了一项病例对照研究,以测量 NHL 诊断前平均 6 年采集的血清样本中的 B 细胞激活生物标志物 sCD23、sCD27、sCD30、sCD44 和 CXCL13,共纳入 491 例病例和 491 例对照。使用逻辑回归估计比值比,我们观察到 NHL 与所有 B 细胞 NHL 和主要亚型的标志物之间存在强烈关联。CD23、CD27、CD30 或 CXCL13 标志物水平处于最高与最低四分位类别的女性患 B-NHL 的风险增加 2.8-5.5 倍。此外,随着这些标志物水平的升高,风险呈显著上升趋势。与血液采集和诊断之间的最短滞后时间(<3 年)相关的病例关联最强。然而,对于最长的诊断前滞后时间(9 至 13 年)的病例也存在显著关联。综上所述,我们的研究结果表明,B 细胞激活在绝经后妇女中在 B 细胞 NHL 的病因学中起着重要作用,/或在诊断前 9 年左右就反映了早期疾病发展的过程。

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本文引用的文献

1
Circulating soluble CD30 and future risk of lymphoma; evidence from two prospective studies in the general population.
Cancer Epidemiol Biomarkers Prev. 2011 Sep;20(9):1925-7. doi: 10.1158/1055-9965.EPI-11-0396. Epub 2011 Jul 22.
2
Prediagnostic serum levels of cytokines and other immune markers and risk of non-hodgkin lymphoma.
Cancer Res. 2011 Jul 15;71(14):4898-907. doi: 10.1158/0008-5472.CAN-11-0165. Epub 2011 Jun 1.
3
4
5
Racial differences in chronic immune stimulatory conditions and risk of non-Hodgkin's lymphoma in veterans from the United States.
J Clin Oncol. 2011 Feb 1;29(4):378-85. doi: 10.1200/JCO.2010.30.1515. Epub 2010 Dec 20.
7
A prospective study of serum soluble CD30 concentration and risk of non-Hodgkin lymphoma.
Blood. 2009 Sep 24;114(13):2730-2. doi: 10.1182/blood-2009-04-217521. Epub 2009 Jul 28.
8
B-cell clones as early markers for chronic lymphocytic leukemia.
N Engl J Med. 2009 Feb 12;360(7):659-67. doi: 10.1056/NEJMoa0806122.
9
Monoclonal B-cell lymphocytosis and chronic lymphocytic leukemia.
N Engl J Med. 2008 Aug 7;359(6):575-83. doi: 10.1056/NEJMoa075290.

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