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Markers of B-Cell Activation in Relation to Risk of Non-Hodgkin Lymphoma
Journal article   Open access   Peer reviewed

Markers of B-Cell Activation in Relation to Risk of Non-Hodgkin Lymphoma

Anneclaire J De Roos, Dana K Mirick, Kerstin L Edlefsen, Andrea Z LaCroix, Kenneth J Kopecky, Margaret Madeleine, Larry Magpantay and Otoniel Martínez-Maza
Cancer research (Chicago, Ill.), v 72(18), pp 4733-4743
30 Jul 2012
PMID: 22846913
url
https://doi.org/10.1158/0008-5472.can-12-1639View
Accepted (AM)Open Access (License Unspecified) Open
url
https://doi.org/10.1158/0008-5472.CAN-12-1639View
Published, Version of Record (VoR) Open

Abstract

cohort epidemiology immune activation non-Hodgkin lymphoma
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. Additionally, 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 (9–13 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.

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Collaboration types
Domestic collaboration
Web of Science research areas
Oncology
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