Pre-diagnostic blood immune markers, incidence and progression of B-cell lymphoma and multiple myeloma: Univariate and functionally informed multivariate analyses

Roel Vermeulen, Fatemeh Saberi Hosnijeh, Barbara Bodinier, Lützen Portengen, Benoît Liquet, Javiera Garrido-Manriquez, Henk Lokhorst, Ingvar A. Bergdahl, Soterios A. Kyrtopoulos, Ann Sofie Johansson, Panagiotis Georgiadis, Beatrice Melin, Domenico Palli, Vittorio Krogh, Salvatore Panico, Carlotta Sacerdote, Rosario Tumino, Paolo Vineis, Raphaële Castagné, Marc Chadeau-HyamMaria Botsivali, Aristotelis Chatziioannou, Ioannis Valavanis, Jos C.S. Kleinjans, Theo M.C.M. de Kok, Hector C. Keun, Toby J. Athersuch, Rachel Kelly, Per Lenner, Goran Hallmans, Euripides G. Stephanou, Antonis Myridakis, Manolis Kogevinas, Lucia Fazzo, Marco De Santis, Pietro Comba, Benedetta Bendinelli, Hannu Kiviranta, Panu Rantakokko, Riikka Airaksinen, Paivi Ruokojarvi, Mark Gilthorpe, Sarah Fleming, Thomas Fleming, Yu Kang Tu, Thomas Lundh, Kuo Liong Chien, Wei J. Chen, Wen Chung Lee, Chuhsing Kate Hsiao, Po Hsiu Kuo, Hung Hung, Shu Fen Liao

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

© 2018 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC 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.
Original languageEnglish
Pages (from-to)1335-1347
Number of pages13
JournalInternational Journal of Cancer
Volume143
Issue number6
DOIs
Publication statusPublished - 15 Sept 2018

Keywords

  • cytokine
  • lymphoma
  • mixed-effect modeling
  • multiple myeloma
  • multivariate models
  • prospective cohort
  • time to diagnosis

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