Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma; univariate and functionally-informed multivariate analyses
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Published version
Author(s)
Type
Journal Article
Abstract
Recent prospective studies have shown that dysregulation of the immune system may precede the
development of B-cell lymphomas (BCL) in immunocompetent individuals. However, to date, the studies
were restricted to a few immune markers, which were considered separately. Using a nested case-control
study within two European prospective cohorts, we measured plasma levels of 28 immune markers
in
samples collected a median of 6 years prior to diagnosis (range, 2.01-15.97)
in 268 incident cases of BCL
(including multiple myeloma) and matched controls. Linear mixed models, and Partial Least Square
analyses were used to analyze the association between levels of immune marker and the incidence of BCL
and its main histological subtypes, and to investigate potential biomarkers predictive of the time to diagnosis.
Linear mixed modelIrrespective of the model, our
analyses identified associations linking
blood lower
immune markerslevels of and BCL incidence. In particular, we identified
growth factors, and within that
family,
fibroblast growth factor-2 (FGF-2
,
p=7.2x10
-4
), ) and
transforming growth factor alpha (TGF-α
,
p=6.5x10
-5
) and BCL incidence.
Analyses stratified by histological subtypes identified inverse associations
for MM subtype including FGF-2 (p=7.8x10
-7
), TGF-α (p=4.08x10
-5
),
fractalkine (p=1.12x10
-3
), monocyte
chemotactic protein-3 (p=1.36x10
-4
), macrophage inflammatory protein 1-alpha (p=4.6x10
-4
), and vascular
endothelial growth factor (p=4.23x10
-5
). , and vascular endothelial growth factor (VEGF), to be consistently
(and inversely) associated with MM incidence.
Our results also provide
d marginal support for already
reported associations between chemokines and diffuse large B-Cell lymphoma
(DLBCL)
, and cytokines and
chronic lymphocytic leukemia
(CLL)
. Case-only analyses showed that GM-CSF levels were
consistently
higher closer to diagnosis, which provides further evidence of its role in tumor progression.
In conclusion, our study suggests a role of growth-factors in the incidence of MM, and of chemokine and
cytokine regulation in DLBCL and CLL.
development of B-cell lymphomas (BCL) in immunocompetent individuals. However, to date, the studies
were restricted to a few immune markers, which were considered separately. Using a nested case-control
study within two European prospective cohorts, we measured plasma levels of 28 immune markers
in
samples collected a median of 6 years prior to diagnosis (range, 2.01-15.97)
in 268 incident cases of BCL
(including multiple myeloma) and matched controls. Linear mixed models, and Partial Least Square
analyses were used to analyze the association between levels of immune marker and the incidence of BCL
and its main histological subtypes, and to investigate potential biomarkers predictive of the time to diagnosis.
Linear mixed modelIrrespective of the model, our
analyses identified associations linking
blood lower
immune markerslevels of and BCL incidence. In particular, we identified
growth factors, and within that
family,
fibroblast growth factor-2 (FGF-2
,
p=7.2x10
-4
), ) and
transforming growth factor alpha (TGF-α
,
p=6.5x10
-5
) and BCL incidence.
Analyses stratified by histological subtypes identified inverse associations
for MM subtype including FGF-2 (p=7.8x10
-7
), TGF-α (p=4.08x10
-5
),
fractalkine (p=1.12x10
-3
), monocyte
chemotactic protein-3 (p=1.36x10
-4
), macrophage inflammatory protein 1-alpha (p=4.6x10
-4
), and vascular
endothelial growth factor (p=4.23x10
-5
). , and vascular endothelial growth factor (VEGF), to be consistently
(and inversely) associated with MM incidence.
Our results also provide
d marginal support for already
reported associations between chemokines and diffuse large B-Cell lymphoma
(DLBCL)
, and cytokines and
chronic lymphocytic leukemia
(CLL)
. Case-only analyses showed that GM-CSF levels were
consistently
higher closer to diagnosis, which provides further evidence of its role in tumor progression.
In conclusion, our study suggests a role of growth-factors in the incidence of MM, and of chemokine and
cytokine regulation in DLBCL and CLL.
Date Issued
2018-09-15
Date Acceptance
2018-03-19
Citation
International Journal of Cancer, 2018, 143 (6), pp.1335-1347
ISSN
0020-7136
Publisher
Wiley
Start Page
1335
End Page
1347
Journal / Book Title
International Journal of Cancer
Volume
143
Issue
6
Copyright Statement
© 2018 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Sponsor
Cancer Research UK
Grant Number
‘Mechanomics’ PRC project grant 22184
Subjects
Science & Technology
Life Sciences & Biomedicine
Oncology
lymphoma
multiple myeloma
cytokine
prospective cohort
mixed-effect modeling
multivariate models
time to diagnosis
NON-HODGKIN-LYMPHOMA
TRANSFORMING-GROWTH-FACTOR
SERUM-LEVELS
FACTOR-ALPHA
BONE-MARROW
INDEPENDENT PREDICTOR
CYTOKINE LEVELS
POOR-PROGNOSIS
OVARIAN-CANCER
SOLUBLE CD30
EnviroGenoMarkers Consortium Consortium members
1112 Oncology And Carcinogenesis
Oncology & Carcinogenesis
Publication Status
Published
Date Publish Online
2018-04-18