TY - JOUR
T1 - Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma
T2 - Univariate and functionally informed multivariate analyses
AU - on behalf of the EnviroGenoMarkers Consortium Consortium members
AU - Vermeulen, Roel
AU - Saberi Hosnijeh, Fatemeh
AU - Bodinier, Barbara
AU - Portengen, Lützen
AU - Liquet, Benoît
AU - Garrido-Manriquez, Javiera
AU - Lokhorst, Henk
AU - Bergdahl, Ingvar A.
AU - Kyrtopoulos, Soterios A.
AU - Johansson, Ann Sofie
AU - Georgiadis, Panagiotis
AU - Melin, Beatrice
AU - Palli, Domenico
AU - Krogh, Vittorio
AU - Panico, Salvatore
AU - Sacerdote, Carlotta
AU - Tumino, Rosario
AU - Vineis, Paolo
AU - Castagné, Raphaële
AU - Chadeau-Hyam, Marc
AU - Botsivali, Maria
AU - Chatziioannou, Aristotelis
AU - Valavanis, Ioannis
AU - Kleinjans, Jos C.S.
AU - de Kok, Theo M.C.M.
AU - Keun, Hector C.
AU - Athersuch, Toby J.
AU - Kelly, Rachel
AU - Lenner, Per
AU - Hallmans, Goran
AU - Stephanou, Euripides G.
AU - Myridakis, Antonis
AU - Kogevinas, Manolis
AU - Fazzo, Lucia
AU - De Santis, Marco
AU - Comba, Pietro
AU - Bendinelli, Benedetta
AU - Kiviranta, Hannu
AU - Rantakokko, Panu
AU - Airaksinen, Riikka
AU - Ruokojarvi, Paivi
AU - Gilthorpe, Mark
AU - Fleming, Sarah
AU - Fleming, Thomas
AU - Tu, Yu Kang
AU - Lundh, Thomas
AU - Chien, Kuo Liong
AU - Chen, Wei J.
AU - Lee, Wen Chung
AU - Liao, Shu Fen
N1 - Funding Information:
Measurements of immune markers were conducted at Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands. The authors thank all the centers that took part in the study. This work was supported by the Cancer Research-UK ‘Mechanomics’ Population Research Committee project with a grant number 22184 [to M.C.-H.]. This work has been carried out as part of the FP7 project Envirogenomarkers (grant number 226756 [to S.A.K.]). Dr R. Castagnéwas supported by the Fondation pour la Recherche Médicale (FRM, grant number SPE20120523823). Ms J. Garrido-Manriquez was supported by the Becas Chile scholarship scheme from the Chilean Government.
Funding Information:
Measurements of immune markers were conducted at Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands. The authors thank all the centers that took part in the study. This work was supported by the Cancer Research-UK ?Mechanomics? Population Research Committee project with a grant number 22184 [to M.C.-H.]. This work has been carried out as part of the FP7 project Envirogenomarkers (grant number 226756 [to S.A.K.]). Dr R. Castagn? was supported by the Fondation pour la Recherche M?dicale (FRM, grant number SPE20120523823). Ms J. Garrido-Manriquez was supported by the Becas Chile scholarship scheme from the Chilean Government.
Funding Information:
Key words: lymphoma, multiple myeloma, cytokine, prospective cohort, mixed-effect modeling, multivariate models, time to diagnosis Additional Supporting Information may be found in the online version of this article. Conflict of interest: The authors declare that they have no potential conflicts of interest. R.V. and F.S.H. are first authors. R.C. and M.C.-H. are last authors. Grant sponsor: Cancer Research-UK ‘Mechanomics’ Population Research Committee project grant; Grant number: 22184; Grant sponsor: FP7 project Envirogenomarkers; Grant number: 226756; Grant sponsor: Fondation pour la Recherche Médicale (FRM); Grant number: SPE20120523823; Grant sponsor: Becas Chile scholarship scheme from the Chilean Government. DOI: 10.1002/ijc.31536 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. History: Received 27 Dec 2017; Accepted 19 Mar 2018; Online 18 Apr 2018 Correspondence to: Roel Vermeulen, Division Environmental Epidemiology, Institute for Risk Assessment Sciences, PO Box 80178, Utrecht University, Utrecht, The Netherlands, Tel.: 131 30 253 9448, Fax: 131 30 253 9499, E-mail: [email protected]
Publisher Copyright:
© 2018 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
PY - 2018/9
Y1 - 2018/9
N2 - 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 before diagnosis (range 2.01–15.97) in 268 incident cases of BCL (including multiple myeloma [MM]) 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 model analyses identified associations linking lower levels of fibroblast growth factor-2 (FGF-2 p = 7.2 × 10−4) and transforming growth factor alpha (TGF-α, p = 6.5 × 10−5) and BCL incidence. Analyses stratified by histological subtypes identified inverse associations for MM subtype including FGF-2 (p = 7.8 × 10−7), TGF-α (p = 4.08 × 10−5), fractalkine (p = 1.12 × 10−3), monocyte chemotactic protein-3 (p = 1.36 × 10−4), macrophage inflammatory protein 1-alpha (p = 4.6 × 10−4) and vascular endothelial growth factor (p = 4.23 × 10−5). Our results also provided marginal support for already reported associations between chemokines and diffuse large BCL (DLBCL) and cytokines and chronic lymphocytic leukemia (CLL). Case-only analyses showed that Granulocyte-macrophage colony stimulating factor 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.
AB - 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 before diagnosis (range 2.01–15.97) in 268 incident cases of BCL (including multiple myeloma [MM]) 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 model analyses identified associations linking lower levels of fibroblast growth factor-2 (FGF-2 p = 7.2 × 10−4) and transforming growth factor alpha (TGF-α, p = 6.5 × 10−5) and BCL incidence. Analyses stratified by histological subtypes identified inverse associations for MM subtype including FGF-2 (p = 7.8 × 10−7), TGF-α (p = 4.08 × 10−5), fractalkine (p = 1.12 × 10−3), monocyte chemotactic protein-3 (p = 1.36 × 10−4), macrophage inflammatory protein 1-alpha (p = 4.6 × 10−4) and vascular endothelial growth factor (p = 4.23 × 10−5). Our results also provided marginal support for already reported associations between chemokines and diffuse large BCL (DLBCL) and cytokines and chronic lymphocytic leukemia (CLL). Case-only analyses showed that Granulocyte-macrophage colony stimulating factor 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.
KW - cytokine
KW - lymphoma
KW - mixed-effect modeling
KW - multiple myeloma
KW - multivariate models
KW - prospective cohort
KW - time to diagnosis
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U2 - 10.1002/ijc.31536
DO - 10.1002/ijc.31536
M3 - Article
C2 - 29667176
AN - SCOPUS:85046006336
SN - 0020-7136
VL - 143
SP - 1335
EP - 1347
JO - International Journal of Cancer
JF - International Journal of Cancer
IS - 6
ER -