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Biomarker Dynamics in B-cell Lymphoma: A Longitudinal Prospective Study of Plasma Samples Up to 25 Years before Diagnosis
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Oncology.
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2017 (English)In: Cancer Research, ISSN 0008-5472, E-ISSN 1538-7445, Vol. 77, no 6, p. 1408-1415Article in journal (Refereed) Published
Abstract [en]

The B-cell activation markers CXCL13, sCD23, (S)CD27, and sCD30 are associated with future lymphoma risk. However, a lack of information about the individual dynamics of markerdisease association hampers interpretation. In this study, we identified 170 individuals who had donated two prediagnostic blood samples before B-cell lymphoma diagnosis, along with 170 matched cancer-free controls from the Northern Sweden Health and Disease Study. Lymphoma risk associations were investigated by subtype and marker levels measured at baseline, at the time of the repeated sample, and with the rate of change in the marker level. Notably, we observed strong associations between CXCL13, sCD23, sCD27, and sCD30 and lymphoma risk in blood samples collected 15 to 25 years before diagnosis. B-cell activation marker levels increased among future lympho-ma cases over time, while remaining stable among controls. Associations between slope and risk were strongest for indolent lymphoma subtypes. We noted a marked association of sCD23 with chronic lymphocytic leukemia (ORSlope - 28, Ptrend(-)7.279 x 10 (-10)). Among aggressive lymphomas, the association between diffuse large B-cell lymphoma risk and slope was restricted to CXCL13. B-cell activation seemed to play a role in B-cell lymphoma development at early stages across different subtypes. Furthermore, B-cell activation presented differential trajectories in future lymphoma patients, mainly driven by indolent subtypes. Our results suggest a utility of these markers in predicting the presence of early occult disease and/or the screening and monitoring of indolent lymphoma in individual patients. 

Place, publisher, year, edition, pages
American Association for Cancer Research , 2017. Vol. 77, no 6, p. 1408-1415
National Category
Cancer and Oncology Hematology
Identifiers
URN: urn:nbn:se:umu:diva-140249DOI: 10.1158/0008-5472.CAN-16-2345ISI: 000396845600015PubMedID: 28108506OAI: oai:DiVA.org:umu-140249DiVA, id: diva2:1150072
Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2019-02-20Bibliographically approved
In thesis
1. Molecular epidemiology approach: nested case-control studies in glioma and lymphoid malignancies
Open this publication in new window or tab >>Molecular epidemiology approach: nested case-control studies in glioma and lymphoid malignancies
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

BACKGROUND: Nested case-control studies aim to link molecular markers with a certain outcome. Repeated prediagnostic samples may improve the evaluation of marker-disease associations. However, data regarding the benefit of repeated samples in such studies are sparse. We aimed to assess the relationship between blood levels of various proteins and risk of glioma, B cell lymphoma, and multiple myeloma to gain further understanding of disease etiology and to evaluate the clinical relevance of the studied markers. To this end, marker-disease associations were evaluated considering the natural history of the studied disease and the time between blood sample collection and diagnosis using both single (I-II) and repeated prediagnostic blood samples (III-IV).

PATIENTS AND METHODS: We conducted four nested case-control studies and one meta-analysis using samples from three prospective cohorts: the Janus Serum Bank, the Northern Sweden Health and Disease study, and the European Prospective Investigation into Cancer and Nutrition study. The following studied endpoints and relationships were included: I) glioma risk and the association with the receptor tyrosine kinases (soluble) sEGFR and sERBB2; II) B cell lymphoma risk and the association with the immune markers sCD27 and sCD30; III) B cell lymphoma risk and the association with immune markers (CXCL13, sTNF-R1, sCD23, sCD27, and sCD30) and their trends over time; and IV) multiple myeloma risk and the association  with ten immune markers and growth factors (MCP-3, MIP-1α, MIP-1β, VEGF, FGF-2, fractalkine, TGF-α, IL-13, TNF-α, and IL-10) and their trends over time.

RESULTS: Risk of developing I) glioma was weakly associated with high blood levels of sERBB2. In addition, high levels of both sEGFR and sERBB2 assessed 15 years before diagnosis were associated with glioblastoma risk.

Risk of II) B cell lymphoma was associated with high levels of sCD30, whereas high levels of sCD27 were particularly associated with risk of chronic lymphocytic leukemia. Meta-analyses showed consistent results for sCD30 across cohorts and lymphoma subtypes, whereas results for sCD27 were less consistent across cohorts and subtypes.

In addition, III) B cell lymphoma risk was associated with levels of CXCL13, sCD23, sCD27, and sCD30 assessed in samples collected 17 years before diagnosis. Marker levels increased in cases closer to diagnosis, particularly for indolent lymphoma with a marked association for chronic lymphocytic leukemia and sCD23. Increasing marker levels closer to diagnosis were also observed for CXCL13 in future diffuse large B cell lymphoma patients.

Risk of IV) multiple myeloma was associated with low levels of MCP-3, VEGF, FGF-2, fractalkine, and TGF-α. Levels of these markers decreased in myeloma cases over time, especially for TGF-α. TGF-α assessed at time of the prediagnostic repeated sample seemed to help predict progression to multiple myeloma.

CONCLUSIONS: Both the natural history of the studied disease and the time between sample collection and diagnosis are crucial for the evaluation of marker-disease associations. Using repeated blood samples improves the understanding of marker-disease associations and might help to identify useful biomarker candidates.

Place, publisher, year, edition, pages
Umeå: Umeå universitet, 2019. p. 53
Series
Umeå University medical dissertations, ISSN 0346-6612 ; 2016
Keywords
Glioma, B cell lymphoma, multiple myeloma, risk, repeated samples, prospective longitudinal study, nested case-control study, circulating sEGFR and sERBB2, circulating immune markers and growth factors, marker disease association, disease progression, NSHDS, Janus, linear mixed modeling
National Category
Cancer and Oncology
Research subject
Epidemiology; Oncology
Identifiers
urn:nbn:se:umu:diva-156421 (URN)978-91-7855-025-8 (ISBN)
Public defence
2019-03-22, Bergasalen, byggnad 27, Norrlands universitetssjukhus, Umeå, 09:00 (English)
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Available from: 2019-02-22 Created: 2019-02-14 Last updated: 2019-02-21Bibliographically approved

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Späth, FlorentinWibom, CarlJohansson, Ann-SofieBergdahl, Ingvar A.Melin, Beatrice

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