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Tigchelaar C, Cunningham JL, Rasmusson AJ, Thulin M, Burman J, Kema IP, Larsson A, Absalom AR. Cerebrospinal fluid and plasma concentrations of the inflammatory marker soluble CD27 in a large surgical population. iScience 2024; 27:110036. [PMID: 38883839 PMCID: PMC11179565 DOI: 10.1016/j.isci.2024.110036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 04/08/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Soluble CD27 (sCD27) is a potential biomarker for diseases involving immune dysfunction. As there is currently little data on cerebrospinal fluid (CSF) sCD27 concentrations in the general population we measured CSF and plasma concentrations in 486 patients (age range 18-92 years, 57% male) undergoing spinal anesthesia for elective surgery. Across the complete cohort the median [range] sCD27 concentrations were 163 [<50 to 7474] pg/mL in CSF and 4624 [1830 to >400,000] pg/mL in plasma. Plasma sCD27, age and Qalb were the factors most strongly associated with CSF sCD27 levels. Reference sCD27 concentration intervals (central 95% of values) in a sub-group without the indication of neuropsychiatric, inflammatory or systemic disease (158 patients) were <50 pg/mL - 419 pg/mL for CSF and 2344-36422 pg/mL for plasma. These data provide preliminary reference ranges that could inform future studies of the validity of sCD27 as a biomarker for neuro- and systemic inflammatory disorders.
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Affiliation(s)
- Celien Tigchelaar
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Janet L Cunningham
- Department of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Annica J Rasmusson
- Department of Medical Sciences, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Måns Thulin
- Department of Mathematics, Uppsala University, Uppsala, Sweden
| | - Joachim Burman
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | - Ido P Kema
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Anders Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Anthony R Absalom
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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Rhee J, Birmann BM, De Roos AJ, Epstein MM, Martinez-Maza O, Breen EC, Magpantay LI, Levin LI, Visvanathan K, Hosgood HD, Rohan TE, Smoller SW, Bassig BA, Qi L, Shu XO, Koh WP, Zheng W, Yuan JM, Weinstein SJ, Albanes D, Lan Q, Rothman N, Purdue MP. Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis. Int J Cancer 2023; 152:865-878. [PMID: 36151863 PMCID: PMC9812887 DOI: 10.1002/ijc.34299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 01/07/2023]
Abstract
Although prediagnostic circulating concentrations of the immune activation markers soluble CD27 (sCD27), sCD30 and chemokine ligand-13 (CXCL13) have been associated with non-Hodgkin lymphoma (NHL) risk, studies have been limited by sample size in associations with NHL subtypes. We pooled data from eight nested case-control studies to investigate subtype-specific relationships for these analytes. Using polytomous regression, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) relating study-specific analyte tertiles to selected subtypes vs controls (n = 3310): chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; n = 623), diffuse large B cell lymphoma (DLBCL; n = 621), follicular lymphoma (FL; n = 398), marginal zone lymphoma (MZL; n = 138), mantle cell lymphoma (MCL; n = 82) and T cell lymphoma (TCL; n = 92). We observed associations with DLBCL for elevated sCD27 [OR for third vs first tertile (ORT3 ) = 2.2, 95% CI = 1.6-3.1], sCD30 (ORT3 = 2.0, 95% CI = 1.6-2.5) and CXCL13 (ORT3 = 2.3, 95% CI = 1.8-3.0). We also observed associations with sCD27 for CLL/SLL (ORT3 = 3.3, 95% CI = 2.4-4.6), MZL (ORT3 = 7.7, 95% CI = 3.0-20.1) and TCL (ORT3 = 3.4, 95% CI = 1.5-7.7), and between sCD30 and FL (ORT3 = 2.7, 95% CI = 2.0-3.5). In analyses stratified by time from phlebotomy to case diagnosis, the sCD27-TCL and all three DLBCL associations were equivalent across both follow-up periods (<7.5, ≥7.5 years). For other analyte-subtype comparisons, associations were stronger for the follow-up period closer to phlebotomy, particularly for indolent subtypes. In conclusion, we found robust evidence of an association between these immune markers and DLBCL, consistent with hypotheses that mechanisms related to immune activation are important in its pathogenesis. Our other findings, particularly for the rarer subtypes MZL and TCL, require further investigation.
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Affiliation(s)
- Jongeun Rhee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Mara M. Epstein
- Department of Medicine and the Meyers Health Care Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Otoniel Martinez-Maza
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Elizabeth C. Breen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Larry I. Magpantay
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lynn I. Levin
- Statistics and Epidemiology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Kala Visvanathan
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H. Dean Hosgood
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas E. Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sylvia W. Smoller
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Formerly at the U.S. National Cancer Institute. This author is currently employed by the U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. All work on this study by the author was conducted while employed by the National Cancer Institute
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore 117609, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Levin LI, Ramirez CM, Liao EL, Guo H, Kim BK, Marrogi AJ, Magpantay LI, Breen EC, Martínez-Maza O. Longitudinal Changes in Immune Activation Serum Biomarkers Prior to Diagnosis and Risk of B-cell NHL Subtypes. Cancer Epidemiol Biomarkers Prev 2023; 32:233-241. [PMID: 36409490 PMCID: PMC9905313 DOI: 10.1158/1055-9965.epi-22-0247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/14/2022] [Accepted: 11/14/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND To examine the contribution of B-cell activation molecules to B-cell follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL), a prospective study was conducted using pre-diagnosis serial serum samples from the US Department of Defense Serum Repository. METHODS Each case (n = 142 FL, n = 211 DLBCL) was matched to two controls on age, gender, race, military branch, and blood collection dates. Immune activation molecules (IL1β, IL2, IL4, IL5, IL6, IL10, IL12, CXCL13, IL8, TNFα, IFNγ, GM-CSF, VEGF, sCD30, IgE) were quantified using ELISA or multiplex immunometric (Luminex) assay. Longitudinal data were analyzed using linear mixed modeling. As serial specimens were collected over several years before diagnosis, we evaluated the temporal dynamics of these markers. RESULTS Increased serum levels of sCD30, CXCL13, and to a lesser extent IL10, were associated with both FL and DLBCL in cases compared with controls, with a median follow-up of 5.5 years from the earliest specimen collection to diagnosis date. Significant increasing sCD30 and CXCL13 trajectories for FL and DLBCL subtypes were noted starting at the earliest time points and with IL10 levels increasing significantly at time points closer to diagnosis. CONCLUSIONS These results suggest that sCD30, CXCL13, and IL10 may contribute to the etiology of FL and DLBCL and are potential biomarkers for these non-Hodgkin lymphoma subtypes. IMPACT The increasing trajectories of the B-cell activation molecules, sCD30, CXCL13, and to a lesser extent IL10, may indicate early disease-induced effects or reflect the chronic stimulation of B-cells that promotes the development of FL and DLBCL subtypes.
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Affiliation(s)
- Lynn I Levin
- Statistics and Epidemiology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Christina M Ramirez
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA
| | - Eileen L Liao
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA
| | - Hongyu Guo
- Statistics and Epidemiology Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Bong K Kim
- Armed Forces Institute of Pathology, Washington DC
| | - Aizen J Marrogi
- Experimental Therapeutics Branch, Walter Reed Army Institute of Research, Silver Spring, MD
| | - Larry I Magpantay
- Department of Obstetrics & Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Elizabeth C Breen
- Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Otoniel Martínez-Maza
- Department of Obstetrics & Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA.,Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA.,Department of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA.,UCLA AIDS Institute, Los Angeles, CA.,Jonsson Comprehensive Cancer Center, Los Angeles, CA
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Landeira-Viñuela A, Arias-Hidalgo C, Juanes-Velasco P, Alcoceba M, Navarro-Bailón A, Pedreira CE, Lecrevisse Q, Díaz-Muñoz L, Sánchez-Santos JM, Hernández ÁP, García-Vaquero ML, Góngora R, De Las Rivas J, González M, Orfao A, Fuentes M. Unravelling soluble immune checkpoints in chronic lymphocytic leukemia: Physiological immunomodulators or immune dysfunction. Front Immunol 2022; 13:965905. [PMID: 36248816 PMCID: PMC9554405 DOI: 10.3389/fimmu.2022.965905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/24/2022] [Indexed: 11/13/2022] Open
Abstract
Chronic lymphocytic leukemia (CLL) is a lymphoid neoplasm characterized by the accumulation of mature B cells. The diagnosis is established by the detection of monoclonal B lymphocytes in peripheral blood, even in early stages [monoclonal B-cell lymphocytosis (MBLhi)], and its clinical course is highly heterogeneous. In fact, there are well-characterized multiple prognostic factors that are also related to the observed genetic heterogenicity, such as immunoglobulin heavy chain variable region (IGHV) mutational status, del17p, and TP53 mutations, among others. Moreover, a dysregulation of the immune system (innate and adaptive immunity) has been observed in CLL patients, with strong impact on immune surveillance and consequently on the onset, evolution, and therapy response. In addition, the tumor microenvironment is highly complex and heterogeneous (i.e., matrix, fibroblast, endothelial cells, and immune cells), playing a critical role in the evolution of CLL. In this study, a quantitative profile of 103 proteins (cytokines, chemokines, growth/regulatory factors, immune checkpoints, and soluble receptors) in 67 serum samples (57 CLL and 10 MBLhi) has been systematically evaluated. Also, differential profiles of soluble immune factors that discriminate between MBLhi and CLL (sCD47, sCD27, sTIMD-4, sIL-2R, and sULBP-1), disease progression (sCD48, sCD27, sArginase-1, sLAG-3, IL-4, and sIL-2R), or among profiles correlated with other prognostic factors, such as IGHV mutational status (CXCL11/I-TAC, CXCL10/IP-10, sHEVM, and sLAG-3), were deciphered. These results pave the way to explore the role of soluble immune checkpoints as a promising source of biomarkers in CLL, to provide novel insights into the immune suppression process and/or dysfunction, mostly on T cells, in combination with cellular balance disruption and microenvironment polarization leading to tumor escape.
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Affiliation(s)
- Alicia Landeira-Viñuela
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Carlota Arias-Hidalgo
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Pablo Juanes-Velasco
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Miguel Alcoceba
- Department of Hematology, University Hospital of Salamanca, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00233, Center Research-Centre Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC) Consejo Superior de Investigaciones Científicas - Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca (CSIC-USAL, IBSAL), Salamanca, Spain
| | - Almudena Navarro-Bailón
- Department of Hematology, University Hospital of Salamanca, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00233, Center Research-Centre Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC) Consejo Superior de Investigaciones Científicas - Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca (CSIC-USAL, IBSAL), Salamanca, Spain
| | - Carlos Eduardo Pedreira
- Systems and Computing Department Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia-Programa de Engenharia de Sistemas e Computação (COPPE-PESC), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Quentin Lecrevisse
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Laura Díaz-Muñoz
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | | | - Ángela-Patricia Hernández
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Department of Pharmaceutical Sciences, Organic Chemistry Section, Faculty of Pharmacy, University of Salamanca, Salamanca, Spain
| | - Marina L. García-Vaquero
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Rafael Góngora
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Javier De Las Rivas
- Bioinformatics and Functional Genomics Group, Cancer Research Center Instituto Universitario de Biología Molecular y Celular del Cáncer, Consejo Superior de Investigaciones Científicas/Universidad de Salamanca (CIC-IBMCC, CSIC/USAL), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), Salamanca, Spain
| | - Marcos González
- Department of Hematology, University Hospital of Salamanca, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00233, Center Research-Centre Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC) Consejo Superior de Investigaciones Científicas - Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca (CSIC-USAL, IBSAL), Salamanca, Spain
| | - Alberto Orfao
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
| | - Manuel Fuentes
- Department of Medicine and General Service of Cytometry, Centro de Investigación Biomédica en Red Cáncer (CIBERONC)- CB16/12/00400, Cancer Research Centre-Instituto Universitario de Biología Molecular y Celular del Cáncer (IBMCC), Consejo Superior de Investigaciones Científicas - Universidad de Salamanca (CSIC-USAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
- Proteomics Unit, Cancer Research Centre-IBMCC, Instituto de Investigación Biomédica de Salamanca (IBSAL), University of Salamanca-Consejo Superior de Investigaciones Científicas (CSIC), Salamanca, Spain
- *Correspondence: Manuel Fuentes,
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de Carvalho PS, Leal FE, Soares MA. Clinical and Molecular Properties of Human Immunodeficiency Virus-Related Diffuse Large B-Cell Lymphoma. Front Oncol 2021; 11:675353. [PMID: 33996608 PMCID: PMC8117347 DOI: 10.3389/fonc.2021.675353] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 04/14/2021] [Indexed: 12/15/2022] Open
Abstract
Non-Hodgkin lymphoma is the most common malignancy affecting people living with HIV (PLWH). Among its several subtypes, diffuse large B-cell lymphoma (DLBCL) is an important manifestation within the HIV-infected compartment of the population. Since HIV is able to modulate B cells and promote lymphomagenesis through direct and indirect mechanisms, HIV-related DLBCL has specific characteristics. In this review, we address the clinical and molecular properties of DLBCL disease in the context of HIV infection, as well as the mechanisms by which HIV is able to modulate B lymphocytes and induce their transformation into lymphoma.
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Affiliation(s)
- Pedro S de Carvalho
- Programa de Oncovirologia, Instituto Nacional do Câncer, Rio de Janeiro, Brazil
| | - Fabio E Leal
- Programa de Oncovirologia, Instituto Nacional do Câncer, Rio de Janeiro, Brazil
| | - Marcelo A Soares
- Programa de Oncovirologia, Instituto Nacional do Câncer, Rio de Janeiro, Brazil.,Departamento de Genética, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
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6
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Deubler EL, Gapstur SM, Diver WR, Gaudet MM, Hodge JM, Stevens VL, McCullough ML, Haines LG, Levine KE, Teras LR. Erythrocyte levels of cadmium and lead and risk of B-cell non-Hodgkin lymphoma and multiple myeloma. Int J Cancer 2020; 147:3110-3118. [PMID: 32506449 DOI: 10.1002/ijc.33136] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 04/28/2020] [Accepted: 05/26/2020] [Indexed: 12/20/2022]
Abstract
Cadmium and lead are persistent environmental toxins that are known or probable carcinogens, based on evidence for causality for nonhematologic cancers. Associations of these metals with risk of non-Hodgkin lymphoma (NHL) and multiple myeloma (MM) are unknown but biologically plausible. To examine the associations of circulating levels of lead and cadmium exposure with risk of B-cell NHL (B-NHL) and multiple myeloma, we conducted a nested case-control study among 299 incident B-cell NHLs and 76 MM cases within the Cancer Prevention Study-II Nutrition Cohort (CPS-II NC). Each case was incidence-density matched to two eligible controls on age, race, sex and blood draw date. Conditional logistic regression was used to estimate relative risks (RR) and 95% confidence intervals (CI) for lymphoid malignancies overall and stratified by subtype. We observed a significant positive association between high erythrocyte lead concentration and risk of lymphoid malignancies overall (RR = 1.16, 95% CI: 1.02-1.33 per 17.6 μg/L (1 standard deviation [SD])) and follicular lymphoma in particular (RR = 1.80, 95% CI: 1.15-2.80 per SD). In contrast, there was no association between erythrocyte cadmium and risk of B-NHL (RR = 0.89, 95% CI: 0.75-1.06 per 0.37 μg/L [1 SD]), or any B-NHL subtypes; but a strong inverse association with MM risk (RR = 0.59, 95% CI: 0.38-0.89, per SD). Results from our study suggest a positive association between erythrocyte lead level and risk of lymphoid malignancies and a possible inverse association between cadmium and myeloma. Additional research is needed to confirm and further explore these findings.
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Affiliation(s)
- Emily L Deubler
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Susan M Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - W Ryan Diver
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Mia M Gaudet
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - James M Hodge
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Marjorie L McCullough
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | | | | | - Lauren R Teras
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
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7
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Maggiolo F, Bandera A, Bonora S, Borderi M, Calcagno A, Cattelan A, Cingolani A, Gianotti N, Lichtner M, Lo Caputo S, Madeddu G, Maggi P, Marchetti GC, Maserati R, Nozza S, Rusconi S, Zazzi M, Di Biagio A. Enhancing care for people living with HIV: current and future monitoring approaches. Expert Rev Anti Infect Ther 2020; 19:443-456. [PMID: 33054479 DOI: 10.1080/14787210.2021.1823217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Antiretroviral therapy (ART) is the most significant advance in the medical management of HIV-1 infection. Given the fact that HIV cannot be eradicated from the body, ART has to be indefinitely maintained. New approaches need to be defined for monitoring HIV-infected individuals (PLWHIV), including clinical, virologic, immunological parameters and also ways to collect individual points of view and quality of life. AREAS COVERED We discuss which tests may be used to improve the management of PLWHIV and respond to a comprehensive health demand. EXPERT OPINION Viral load and CD4 counts are well-validated outcome measures and we still need them, but they do not completely depict the health status of PLWHIV. We need to better understand and to apply to clinical practice what happens in sanctuaries, what is the role of HIV DNA, what is the meaning of low-level viremia. Most of these questions do not yet have a definitive response. Further, we need to understand how to modify these variables in order to improve outcomes.Similar points may be raised for immunological measures and for tests exploring the tolerability of drugs. The goal must be the evolution from a viro/immunologic-based to a comprehensive quality-of-health-based evaluation of PLWHIV.
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Affiliation(s)
- Franco Maggiolo
- Unit of Infectious Diseases, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Alessandra Bandera
- A Infectious Disease Unit, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico - B Department of Pathophysiology and Transplantation, University of Milan, Milano, Italy
| | - Stefano Bonora
- Unit of Infectious Diseases, Department of Medical Sciences, University of Torino, Torino, Italy
| | - Marco Borderi
- Unit of Infectious Diseases, Department of Medical and Surgical Sciences, S. Orsola Hospital, "Alma Mater Studiorum" University of Bologna, Italy
| | - Andrea Calcagno
- Unit of Infectious Diseases, Department of Medical Sciences, University of Torino, Torino, Italy
| | - Annamaria Cattelan
- Unit of Infectious Diseases, Department of Internal Medicine, Azienda Ospedaliera and University of Padua, Italy
| | - Antonella Cingolani
- Department of Infectious Diseases, Università Cattolica, Fondazione Policlinico A. Gemelli, Roma, Italy
| | - Nicola Gianotti
- Department of Infectious Diseases, Ospedale San Raffaele, Milano, Italy
| | - Miriam Lichtner
- Dept of Public Health and Infectious Diseases - Sapienza, University of Rome, SM Goretti Hospital, Latina, Italy
| | - Sergio Lo Caputo
- Infection Disease Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia Italy
| | - Giordano Madeddu
- Unit of Infectious Diseases, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - Paolo Maggi
- Department of Infectious Diseases, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - Giulia Carla Marchetti
- Dept of Health Sciences, Clinic of Infectious Diseases, University of Milan, ASST Santi Paolo E Carlo, Milano, Italy
| | - Renato Maserati
- Department of Infectious Diseases, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Silvia Nozza
- Department of Infectious Diseases, Ospedale San Raffaele, Milano, Italy
| | - Stefano Rusconi
- Infectious Diseases Unit, DIBIC Luigi Sacco, University of Milan, Milano, Italy
| | - Maurizio Zazzi
- Dept of Medical Biotechnologies, University of Siena, A.O.U. Senese - Ospedale Santa Maria Alle Scotte, Siena, Italy
| | - Antonio Di Biagio
- Infectious Diseases Clinic, San Martino Hospital - IRCCS, Genoa, Italy - Department of Health Sciences, University of Genoa, Genova, Italy
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8
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Saberi Hosnijeh F, Kolijn PM, Casabonne D, Nieters A, Solans M, Naudin S, Ferrari P, Mckay JD, Weiderpass E, Perduca V, Besson C, Mancini FR, Masala G, Krogh V, Ricceri F, Huerta JM, Petrova D, Sala N, Trichopoulou A, Karakatsani A, La Vecchia C, Kaaks R, Canzian F, Aune D, Boeing H, Schulze MB, Perez-Cornago A, Langerak AW, van der Velden VHJ, Vermeulen R. Mediating effect of soluble B-cell activation immune markers on the association between anthropometric and lifestyle factors and lymphoma development. Sci Rep 2020; 10:13814. [PMID: 32796953 PMCID: PMC7429856 DOI: 10.1038/s41598-020-70790-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 07/24/2020] [Indexed: 02/06/2023] Open
Abstract
Sustained B-cell activation is an important mechanism contributing to B-cell lymphoma (BCL). We aimed to validate four previously reported B-cell activation markers predictive of BCL risk (sCD23, sCD27, sCD30, and CXCL13) and to examine their possible mediating effects on the association between anthropometric and lifestyle factors and major BCL subtypes. Pre-diagnostic serum levels were measured for 517 BCL cases and 525 controls in a nested case-control study. The odds ratios of BCL were 6.2 in the highest versus lowest quartile for sCD23, 2.6 for sCD30, 4.2 for sCD27, and 2.6 for CXCL13. Higher levels of all markers were associated with increased risk of chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and diffuse large B-cell lymphoma (DLBCL). Following mutual adjustment for the other immune markers, sCD23 remained associated with all subtypes and CXCL13 with FL and DLBCL. The associations of sCD23 with CLL and DLBCL and CXCL13 with DLBCL persisted among cases sampled > 9 years before diagnosis. sCD23 showed a good predictive ability (area under the curve = 0.80) for CLL, in particular among older, male participants. sCD23 and CXCL13 showed a mediating effect between body mass index (positive) and DLBCL risk, while CXCL13 contributed to the association between physical activity (inverse) and DLBCL. Our data suggest a role of B-cell activation in BCL development and a mediating role of the immune system for lifestyle factors.
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MESH Headings
- Antigens, CD
- B-Lymphocytes/immunology
- Biomarkers
- Body Mass Index
- Case-Control Studies
- Chemokine CXCL13
- Cohort Studies
- Exercise/physiology
- Female
- Humans
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Life Style
- Lymphocyte Activation/immunology
- Lymphoma, Follicular/etiology
- Lymphoma, Follicular/immunology
- Lymphoma, Large B-Cell, Diffuse/etiology
- Lymphoma, Large B-Cell, Diffuse/immunology
- Male
- Prospective Studies
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Affiliation(s)
- Fatemeh Saberi Hosnijeh
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands.
| | - Pieter M Kolijn
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Delphine Casabonne
- Centro de Investigación Biomédica en Red de Epidemiología y. Salud Pública, M.P. (CIBERESP), Madrid, Spain
- Unit of Infections and Cancer, Cancer Epidemiology Research PRogramme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Alexandra Nieters
- Faculty of Medicine and Medical Center, Institute for Immunodeficiency, University of Freiburg, Freiburg, Germany
| | - Marta Solans
- Centro de Investigación Biomédica en Red de Epidemiología y. Salud Pública, M.P. (CIBERESP), Madrid, Spain
- Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain
| | - Sabine Naudin
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Pietro Ferrari
- Nutritional Methodology and Biostatistics Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - James D Mckay
- Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - Elisabete Weiderpass
- International Agency for Research on Cancer- World Health Organization, Lyon, France
| | - Vittorio Perduca
- CNRS, MAP5 UMR 8145, Université de Paris, 75006, Paris, France
- CESP, Fac. de Médecine - Univ. Paris-Sud, Fac de Médecine - UVSQ, INSERM, Université Paris Saclay, 94805, Villejuif, France
| | - Caroline Besson
- CESP, Fac. de Médecine - Univ. Paris-Sud, Fac de Médecine - UVSQ, INSERM, Université Paris Saclay, 94805, Villejuif, France
- Gustave Roussy, 94805, Villejuif, France
- Department of Hematology and Oncology, Hospital of Versailles, Le Chesnay, France
| | - Francesca Romana Mancini
- CESP, Fac. de Médecine - Univ. Paris-Sud, Fac de Médecine - UVSQ, INSERM, Université Paris Saclay, 94805, Villejuif, France
- Gustave Roussy, 94805, Villejuif, France
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network - ISPRO, Florence, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
- Unit of Epidemiology, Regional Health Service ASL, Turin, Italy
| | - José M Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Dafina Petrova
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Andalusian School of Public Health (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (Ibs.GRANADA), Universidad de Granada, Granada, Spain
| | - Núria Sala
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program and Translational Research Laboratory, Catalan Institute of Oncology (ICO), Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | | | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, "ATTIKON" University Hospital, Haidari, Greece
| | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health Università Degli Studi di Milano, 20133, Milan, Italy
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Federico Canzian
- Research Group Genomic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Bjørknes University College, Oslo, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Sciences, University of Potsdam, Nuthetal, Germany
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Anton W Langerak
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Vincent H J van der Velden
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, P.O. Box 80178, 3508 TD, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
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9
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Saberi Hosnijeh F, van der Straten L, Kater AP, van Oers MHJ, Posthuma WFM, Chamuleau MED, Bellido M, Doorduijn JK, van Gelder M, Hoogendoorn M, de Boer F, Te Raa GD, Kerst JM, Marijt EWA, Raymakers RAP, Koene HR, Schaafsma MR, Dobber JA, Tonino SH, Kersting SS, Langerak AW, Levin MD. Proteomic markers with prognostic impact on outcome of chronic lymphocytic leukemia patients under chemo-immunotherapy: results from the HOVON 109 study. Exp Hematol 2020; 89:55-60.e6. [PMID: 32781097 DOI: 10.1016/j.exphem.2020.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 07/23/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022]
Abstract
Despite recent identification of several prognostic markers, there is still a need for new prognostic parameters able to predict clinical outcome in chronic lymphocytic leukemia (CLL) patients. Here, we aimed to validate the prognostic ability of known (proteomic) markers measured pretreatment and to search for new proteomic markers that might be related to treatment response in CLL. To this end, baseline serum samples of 51 CLL patients treated with chemo-immunotherapy were analyzed for 360 proteomic markers, using Olink technology. Median event-free survival (EFS) was 23 months (range: 1.25-60.9). Patients with high levels of sCD23 (>11.27, p = 0.026), sCD27 (>11.03, p = 0.04), SPINT1 (>1.6, p = 0.001), and LY9 (>8.22, p = 0.0003) had a shorter EFS than those with marker levels below the median. The effect of sCD23 on EFS differed between immunoglobulin heavy chain variable gene-mutated and unmutated patients, with the shortest EFS for unmutated CLL patients with sCD23 levels above the median. Taken together, our results validate the prognostic impact of sCD23 and highlight SPINT1 and LY9 as possible promising markers for treatment response in CLL patients.
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MESH Headings
- Aged
- Aged, 80 and over
- Antineoplastic Agents/therapeutic use
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/genetics
- Chlorambucil
- Disease-Free Survival
- Female
- Gene Expression
- Humans
- Immunoglobulin Heavy Chains/blood
- Immunoglobulin Heavy Chains/genetics
- Immunotherapy/methods
- Lenalidomide
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/therapy
- Male
- Middle Aged
- Mutation
- Prognosis
- Proteinase Inhibitory Proteins, Secretory/blood
- Proteinase Inhibitory Proteins, Secretory/genetics
- Proteomics/methods
- Receptors, IgE/blood
- Receptors, IgE/genetics
- Rituximab
- Signaling Lymphocytic Activation Molecule Family/blood
- Signaling Lymphocytic Activation Molecule Family/genetics
- Treatment Outcome
- Tumor Necrosis Factor Receptor Superfamily, Member 7/blood
- Tumor Necrosis Factor Receptor Superfamily, Member 7/genetics
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Affiliation(s)
- Fatemeh Saberi Hosnijeh
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands; Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands.
| | - Lina van der Straten
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands; Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - Arnon P Kater
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam, Academic Medical Center, Amsterdam, The Netherlands
| | - Marinus H J van Oers
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam, Academic Medical Center, Amsterdam, The Netherlands
| | - Ward F M Posthuma
- Department of Internal Medicine, Reinier de Graaf Hospital, Delft, The Netherlands; Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Mar Bellido
- Department of Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jeanette K Doorduijn
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michel van Gelder
- Department of Hematology, University Medical Center, Maastricht, The Netherlands
| | - Mels Hoogendoorn
- Department of Internal Medicine, Medical Center, Leeuwarden, The Netherlands
| | - Fransien de Boer
- Department of Internal Medicine, Ikazia Hospital, Rotterdam, The Netherlands
| | - G Doreen Te Raa
- Department of Internal Medicine, Gelderland Valley Hospital, Ede, The Netherlands
| | - J Martijn Kerst
- Department of Medical Oncology, Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Erik W A Marijt
- Department of Hematology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Harry R Koene
- Department of Internal Medicine, St Antonius Hospital, Nieuwegein, The Netherlands
| | - Martijn R Schaafsma
- Department of Hematology, Medical Spectrum Twente, Enschede, The Netherlands
| | - Johan A Dobber
- Laboratory Special Hematology, Academic Medical Center, Amsterdam, The Netherlands
| | - Sanne H Tonino
- Department of Hematology, Academic Medical Center, Amsterdam, The Netherlands
| | | | - Anton W Langerak
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Mark-David Levin
- Department of Internal Medicine, Albert Schweitzer Hospital, Dordrecht, The Netherlands
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10
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Purdue MP, Lan Q, Langseth H, Grimsrud TK, Hildesheim A, Rothman N. Prediagnostic serum sCD27 and sCD30 in serial samples and risks of non-Hodgkin lymphoma subtypes. Int J Cancer 2020; 146:3312-3319. [PMID: 31523805 PMCID: PMC10123845 DOI: 10.1002/ijc.32684] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 08/07/2019] [Accepted: 08/30/2019] [Indexed: 02/06/2023]
Abstract
Elevated prediagnostic serum levels of the immune activation markers sCD27 and sCD30 have been associated with non-Hodgkin lymphoma (NHL). However, the use of a single sample per participant in these studies has limited etiologic inferences. We report findings, overall and by NHL subtype, from a case-control analysis (422 cases, 434 controls) within the Janus Serum Bank with two samples per subject collected on average 5 years apart. Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) was associated with elevated sCD27 in the later, but not earlier, prediagnostic sample (odds ratio [OR] 4.2, 95% confidence interval [CI] 1.5-11.6 and 1.7, 0.7-4.7 per log increase, respectively) in analyses adjusting for both analytes, while follicular lymphoma (FL) was associated with elevated sCD30 in both the later and earlier samples (OR 2.9, 95% CI 1.4-4.4 and 2.3, 1.2-4.4, respectively). CLL/SLL cases were significantly more likely than controls to have higher sCD27 in the later vs. earlier sample (OR 1.4, 95% CI 1.1-1.9 per standard deviation increase); no such difference in sCD30 was apparent for FL. In a joint analysis, NHL cases were more likely than controls to have below-median sCD27 in the earlier sample and above-median sCD27 in the later sample (OR 1.5, 95% CI 1.0-2.3). For sCD30, the association between sCD30 and FL was confined to subjects with above-median analyte levels in both samples (OR 2.5, 95% CI 1.1-5.9). Our findings are compatible with elevated sCD27 representing a disease-induced effect and sCD30 representing a marker of increased FL susceptibility.
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Affiliation(s)
- Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Hilde Langseth
- Department of Research, Institute of Population-based Cancer Research, Cancer Registry of Norway, Oslo, Norway
| | - Tom K Grimsrud
- Department of Research, Institute of Population-based Cancer Research, Cancer Registry of Norway, Oslo, Norway
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
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11
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Abstract
Follicular lymphoma (FL) is a common indolent lymphoma subtype in Western countries. FL incidence increases with age, and shows considerable variation by race/ethnicity and geography. In the United States and France, FL incidence has been stable since 2000, whereas in other Western and Asian countries it has been increasing. Five-year relative survival rates have been increasing in Western and Asian countries. Progress on identifying FL-specific risk factors has accelerated with the implementation of the InterLymph nested classification and the availability of larger epidemiologic studies and pooled analyses. Identification of risk factors for FL requires further research.
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Affiliation(s)
- James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, 200 1st Street Southwest, Rochester, MN 55905, USA.
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12
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Chronic CD30 signaling in B cells results in lymphomagenesis by driving the expansion of plasmablasts and B1 cells. Blood 2019; 133:2597-2609. [PMID: 30962205 DOI: 10.1182/blood.2018880138] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 03/08/2019] [Indexed: 01/12/2023] Open
Abstract
CD30 is expressed on a variety of B-cell lymphomas, such as Hodgkin lymphoma, primary effusion lymphoma, and a diffuse large B-cell lymphoma subgroup. In normal tissues, CD30 is expressed on some activated B and T lymphocytes. However, the physiological function of CD30 signaling and its contribution to the generation of CD30+ lymphomas are still poorly understood. To gain a better understanding of CD30 signaling in B cells, we studied the expression of CD30 in different murine B-cell populations. We show that B1 cells expressed higher levels of CD30 than B2 cells and that CD30 was upregulated in IRF4+ plasmablasts (PBs). Furthermore, we generated and analyzed mice expressing a constitutively active CD30 receptor in B lymphocytes. These mice displayed an increase in B1 cells in the peritoneal cavity (PerC) and secondary lymphoid organs as well as increased numbers of plasma cells (PCs). TI-2 immunization resulted in a further expansion of B1 cells and PCs. We provide evidence that the expanded B1 population in the spleen included a fraction of PBs. CD30 signals seemed to enhance PC differentiation by increasing activation of NF-κB and promoting higher levels of phosphorylated STAT3 and STAT6 and nuclear IRF4. In addition, chronic CD30 signaling led to B-cell lymphomagenesis in aged mice. These lymphomas were localized in the spleen and PerC and had a B1-like/plasmablastic phenotype. We conclude that our mouse model mirrors chronic B-cell activation with increased numbers of CD30+ lymphocytes and provides experimental proof that chronic CD30 signaling increases the risk of B-cell lymphomagenesis.
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13
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Makgoeng SB, Bolanos RS, Jeon CY, Weiss RE, Arah OA, Breen EC, Martínez-Maza O, Hussain SK. Markers of Immune Activation and Inflammation, and Non-Hodgkin Lymphoma: A Meta-Analysis of Prospective Studies. JNCI Cancer Spectr 2019; 2:pky082. [PMID: 30873511 PMCID: PMC6400235 DOI: 10.1093/jncics/pky082] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 12/08/2018] [Accepted: 12/21/2018] [Indexed: 12/12/2022] Open
Abstract
Background Chronic inflammation and immune activation are reported to play a key role in the etiology of non-Hodgkin lymphoma (NHL). We conducted a meta-analysis on the associations between prediagnosis circulating levels of immune stimulatory markers, interleukin 6 (IL-6), IL-10, tumor necrosis factor α (TNF-α), CXCL13, soluble CD23 (sCD23), sCD27, sCD30, and the risk of NHL. Methods Relevant studies were identified from PubMed, EMBASE, and Web of Science up to January 1, 2017. We calculated summary odds ratio (OR) estimates for the association between one natural log increase in concentration of each biomarker and NHL using random-effects models for NHL as a composite outcome and for several histological subtypes of NHL. Results Seventeen nested case control studies were included. Elevated levels of several biomarkers were more strongly associated with increased odds of NHL: TNF-α, OR = 1.18 (95% confidence interval [CI] = 1.04 to 1.34); CXCL13, OR = 1.47 (95% CI = 1.03 to 2.08); sCD23, OR = 1.57 (95% CI = 1.21 to 2.05); sCD27, OR = 2.18 (95% CI = 1.20 to 3.98); sCD30, OR = 1.65 (95% CI = 1.22 to 2.22). In stratified analyses, IL-6, TNF-α, sCD27, and sCD30 were more strongly associated with NHL in HIV-infected individuals compared to HIV-uninfected individuals. Between-study heterogeneity was observed across multiple biomarkers for overall NHL and by subtypes. Conclusion This meta-analysis provides evidence that elevated circulating levels of TNF-α, CXCL13, sCD23, sCD27, and sCD30 are consistently associated with an increased risk of NHL, suggesting the potential utility of these biomarkers in population risk stratification and prediction.
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Affiliation(s)
- Solomon B Makgoeng
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA
| | - Rachel S Bolanos
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA
| | - Christie Y Jeon
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA.,Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Robert E Weiss
- Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, CA
| | - Onyebuchi A Arah
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA
| | - Elizabeth C Breen
- Cousins Center for Psychoneuroimmunology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles
| | - Otoniel Martínez-Maza
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA.,Departments of Obstetrics and Gynecology and Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Shehnaz K Hussain
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), CA.,Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA
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14
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Purdue MP, Lan Q, Hoffman-Bolton J, Hildesheim A, Callahan CL, Strickland P, Visvanathan K, Rothman N. Circulating sCD27 and sCD30 in pre-diagnostic samples collected fifteen years apart and future non-Hodgkin lymphoma risk. Int J Cancer 2018; 144:1780-1785. [PMID: 30230539 DOI: 10.1002/ijc.31879] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/28/2018] [Accepted: 09/07/2018] [Indexed: 11/05/2022]
Abstract
Elevated serum sCD27 and sCD30 from a single banked sample have been associated with future non-Hodgkin lymphoma risk (NHL); however, the etiologic relevance of this finding is unclear. To address this question, we conducted a case-control study (235 cases, 235 controls) nested within the CLUE-I and CLUE-II cohorts, which enrolled participants in 1974 and 1989 respectively in Washington County, Maryland. Our study features a subset of 102 cases and 102 controls with two banked pre-diagnostic samples each, collected 15 years apart. In analyses involving an individual sample per subject, both sCD27 and sCD30 were associated with NHL diagnosed up to 20 years later. In analyses involving repeated samples, cases were significantly more likely than controls to have higher analyte levels in the CLUE-II vs. CLUE-I sample for sCD27 (p = 0.006) but not sCD30 (p = 0.16). In joint analyses of dichotomized analyte levels in both samples, the strongest NHL association observed for sCD27 was for having below-median levels in CLUE-I and above-median levels in CLUE-II [odds ratio (OR) 3.6, 95% confidence interval (CI) 1.4-9.2 vs. below-median levels in both). In joint analyses for sCD30, the strongest NHL association was observed for having above-median levels in both samples (OR 1.7, 95% CI 0.8-3.7), particularly for cases diagnosed >10 years after the CLUE-II sample (OR 2.4, 95% CI 0.9-6.7). Our findings suggest that sCD27 is a disease marker for NHL and add to the weight of evidence that elevated circulating sCD30 is a marker of increased NHL susceptibility.
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Affiliation(s)
- Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | | | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Catherine L Callahan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Paul Strickland
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kala Visvanathan
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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15
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Callahan CL, Hofmann JN, Corley DA, Zhao WK, Shuch B, Chow WH, Purdue MP. Obesity and renal cell carcinoma risk by histologic subtype: A nested case-control study and meta-analysis. Cancer Epidemiol 2018; 56:31-37. [PMID: 30029068 DOI: 10.1016/j.canep.2018.07.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 06/28/2018] [Accepted: 07/06/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Although obesity is an established risk factor for renal cell carcinoma (RCC), it is unclear whether this relationship varies across histologic subtypes. METHODS We conducted a nested case-control study within the Kaiser Permanente Northern California (KPNC) health care network, and meta-analysis combining our results with those of previously published studies. Our KPNC study included 685 RCC cases [421 clear cell; 65 papillary; 24 chromophobe; 35 other; 141 not otherwise specified (NOS)] and 4266 controls. Subtype-specific odds ratios (ORs) and 95% confidence intervals (CIs) for categories of body mass index (BMI) and were computed from the case-control data using polytomous logistic regression. Findings from this and other relevant studies were combined by meta-analysis using a random effects model. RESULTS In the KPNC study, obesity (BMI ≥ 30 kg/m2) was associated with clear cell RCC (OR 1.5, 95% CI 1.1-2.1) and chromophobe RCC (OR 2.5, 95%CI 0.8-8.1), but not with papillary RCC (OR 1.0, 95% CI 0.5-1.9). In meta-analysis including three additional studies, a similar pattern of summary relative risks (SRR) for obesity was observed across subtypes (clear cell: SRR 1.8, 95% CI 1.5-2.2; chromophobe: SRR 2.2, 95% CI 1.3-3.7; papillary, SRR 1.2, 95% CI 0.8-1.6). CONCLUSIONS These findings support the hypothesis that histologic subtypes of RCC possess distinct etiologic pathways, with obesity important for the development of clear cell and, possibly, chromophobe RCC, but not papillary RCC.
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Affiliation(s)
- Catherine L Callahan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States
| | - Wei K Zhao
- Division of Research, Kaiser Permanente Northern California, Oakland, California, United States
| | - Brian Shuch
- Department of Urology, Yale School of Medicine, New Haven, Connecticut, United States
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States.
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16
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Elevated soluble CD23 level indicates increased risk of B cell non-Hodgkin's lymphomas: evidence from a meta-analysis. Ann Hematol 2018; 97:1317-1325. [PMID: 29750316 DOI: 10.1007/s00277-018-3349-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 04/23/2018] [Indexed: 10/16/2022]
Abstract
The aim of the present study was to determine whether circulating soluble CD23 (sCD23) was associated with B cells non-Hodgkin's lymphomas (B-NHL). PubMed, EMBASE, and ISI Web of Science were extensively searched without language restriction. Data was extracted in a standardized data collection sheet after two reviewers scanned studies independently. The association between sCD23 and NHL was indicated as odds ratio (OR) along with its related 95% confidence interval (95% CI). Meta-analysis was conducted via RevMan 5.3. A total of five studies, which included 964 B-NHL patients and 1243 matched controls without B-NHL, among which 257 were HIV-positive donors and 986 were general controls, were included in our study. Meta-analysis revealed a significant association between peripheral sCD23 level and B-NHL in HIV-positive samples (OR 1.66, 95% CI 1.25, 2.20; P = 0.0005) as well as the general population (OR 2.51; 95% CI 1.71, 3.86; P < 0.00001). Meta-analysis, stratified by sampling time prior to diagnosis, indicated potential HIV-NHL patients are 2.34-folds more likely to have higher blood sCD23 level, although this association is statistically meaningful only during 3-5 years prior to diagnosis (95% CI 1.27, 4.33). Subgroup analysis based on B-NHL type demonstrated a significant association between sCD23 level and diffuse large B cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), and follicular lymphoma (FL). The findings of our study indicate a positive association of circulating sCD23 level and B-NHL risks and highlight the possibility of sCD23 as a predictive marker of B-NHL. However, to better understand the underlying mechanism, further studies are needed.
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17
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Smedby KE, Ponzoni M. The aetiology of B-cell lymphoid malignancies with a focus on chronic inflammation and infections. J Intern Med 2017; 282:360-370. [PMID: 28875507 DOI: 10.1111/joim.12684] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
B-cell malignancies are a heterogeneous group of lymphoproliferative disorders with different molecular characteristics and clinical course. It is increasingly recognized that the group displays considerable heterogeneity also regarding aetiologic factors. Here, we summarize the latest developments in the aetiology of B-cell lymphoid malignancy subtypes focusing on immune perturbation. Severe immune suppression constitutes a strong and well-established risk factor for aggressive subtypes (e.g. diffuse large B-cell and Burkitt lymphoma), but appears unrelated to risk of common low-grade subtypes (e.g. follicular and mantle cell lymphoma). Inflammation and infections are known co-factors amongst the immunosuppressed; however, immune stimulation is now recognized as a crucial determinant of lymphomagenesis also amongst immunocompetent individuals. This is best exemplified in marginal zone lymphomas where local chronic inflammation and infection in the stomach, ocular adnexa and salivary glands have been directly linked with the development of oligoclonal and monoclonal malignant B-cell populations. Aggressive subtypes (e.g. diffuse large B-cell lymphoma) are increasingly linked with features of systemic immune stimulation including autoimmune/inflammatory disease and subclinical cytokine elevations. Lifestyle factors (e.g. high body mass index, cigarette smoking) are associated with risk of diffuse large B-cell and follicular lymphoma, respectively, possibly mediated through inflammation. Recent genome-wide association studies further underline the importance of immune function by linking several subtypes to variations in the human leucocyte antigen (HLA) class genes. In the future, improved knowledge of mechanistic pathways of inflammation/infections in lymphoma development may translate to active measures of prevention or treatment, as is already the case for some low-grade lymphoma subtypes.
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Affiliation(s)
- K E Smedby
- Clinical Epidemiology Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - M Ponzoni
- Ateneo Vita-Salute, Pathology and Lymphoid Malignancies Unit, San Raffaele H. Scientific Institute, Milan, Italy
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18
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Georgiadis P, Liampa I, Hebels DG, Krauskopf J, Chatziioannou A, Valavanis I, de Kok TM, Kleinjans JC, Bergdahl IA, Melin B, Spaeth F, Palli D, Vermeulen R, Vlaanderen J, Chadeau-Hyam M, Vineis P, Kyrtopoulos SA. Evolving DNA methylation and gene expression markers of B-cell chronic lymphocytic leukemia are present in pre-diagnostic blood samples more than 10 years prior to diagnosis. BMC Genomics 2017; 18:728. [PMID: 28903739 PMCID: PMC5598006 DOI: 10.1186/s12864-017-4117-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/05/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND B-cell chronic lymphocytic leukemia (CLL) is a common type of adult leukemia. It often follows an indolent course and is preceded by monoclonal B-cell lymphocytosis, an asymptomatic condition, however it is not known what causes subjects with this condition to progress to CLL. Hence the discovery of prediagnostic markers has the potential to improve the identification of subjects likely to develop CLL and may also provide insights into the pathogenesis of the disease of potential clinical relevance. RESULTS We employed peripheral blood buffy coats of 347 apparently healthy subjects, of whom 28 were diagnosed with CLL 2.0-15.7 years after enrollment, to derive for the first time genome-wide DNA methylation, as well as gene and miRNA expression, profiles associated with the risk of future disease. After adjustment for white blood cell composition, we identified 722 differentially methylated CpG sites and 15 differentially expressed genes (Bonferroni-corrected p < 0.05) as well as 2 miRNAs (FDR < 0.05) which were associated with the risk of future CLL. The majority of these signals have also been observed in clinical CLL, suggesting the presence in prediagnostic blood of CLL-like cells. Future CLL cases who, at enrollment, had a relatively low B-cell fraction (<10%), and were therefore less likely to have been suffering from undiagnosed CLL or a precursor condition, showed profiles involving smaller numbers of the same differential signals with intensities, after adjusting for B-cell content, generally smaller than those observed in the full set of cases. A similar picture was obtained when the differential profiles of cases with time-to-diagnosis above the overall median period of 7.4 years were compared with those with shorted time-to-disease. Differentially methylated genes of major functional significance include numerous genes that encode for transcription factors, especially members of the homeobox family, while differentially expressed genes include, among others, multiple genes related to WNT signaling as well as the miRNAs miR-150-5p and miR-155-5p. CONCLUSIONS Our findings demonstrate the presence in prediagnostic blood of future CLL patients, more than 10 years before diagnosis, of CLL-like cells which evolve as preclinical disease progresses, and point to early molecular alterations with a pathogenetic potential.
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MESH Headings
- Biomarkers, Tumor/genetics
- DNA Methylation
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic
- Leukemia, Lymphocytic, Chronic, B-Cell/blood
- Leukemia, Lymphocytic, Chronic, B-Cell/diagnosis
- Leukemia, Lymphocytic, Chronic, B-Cell/genetics
- MicroRNAs/genetics
- Prognosis
- Time Factors
- Humans
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Affiliation(s)
- Panagiotis Georgiadis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Irene Liampa
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Dennie G. Hebels
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Julian Krauskopf
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Aristotelis Chatziioannou
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Ioannis Valavanis
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
| | - Theo M.C.M. de Kok
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Jos C.S. Kleinjans
- Department of Toxicogenomics, Maastricht University, 6229 Maastricht, ER Netherlands
| | - Ingvar A. Bergdahl
- Department of Biobank Research, and Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Florentin Spaeth
- Department of Radiation Sciences, Oncology, Umeå University, 901 87 Umeå, Sweden
| | - Domenico Palli
- The Institute for Cancer Research and Prevention, 50141 Florence, Italy
| | - R.C.H. Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - J. Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, W2 1PG UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, MRC-HPA Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College, London, W2 1PG UK
| | - Soterios A. Kyrtopoulos
- Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, 48, Vassileos Constantinou Avenue, 11635 Athens, Greece
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19
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Späth F, Wibom C, Krop EJM, Johansson AS, Bergdahl IA, Vermeulen R, Melin B. Biomarker Dynamics in B-cell Lymphoma: A Longitudinal Prospective Study of Plasma Samples Up to 25 Years before Diagnosis. Cancer Res 2017; 77:1408-1415. [PMID: 28108506 DOI: 10.1158/0008-5472.can-16-2345] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 11/16/2016] [Accepted: 12/05/2016] [Indexed: 11/16/2022]
Abstract
The B-cell activation markers CXCL13, sCD23, sCD27, and sCD30 are associated with future lymphoma risk. However, a lack of information about the individual dynamics of marker-disease 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 lymphoma 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 × 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. Cancer Res; 77(6); 1408-15. ©2017 AACR.
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Affiliation(s)
- Florentin Späth
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden.
| | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Esmeralda J M Krop
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | | | | | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
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20
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Bassig BA, Zhang L, Vermeulen R, Tang X, Li G, Hu W, Guo W, Purdue MP, Yin S, Rappaport SM, Shen M, Ji Z, Qiu C, Ge Y, Hosgood HD, Reiss B, Wu B, Xie Y, Li L, Yue F, Freeman LEB, Blair A, Hayes RB, Huang H, Smith MT, Rothman N, Lan Q. Comparison of hematological alterations and markers of B-cell activation in workers exposed to benzene, formaldehyde and trichloroethylene. Carcinogenesis 2016; 37:692-700. [PMID: 27207665 DOI: 10.1093/carcin/bgw053] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 04/27/2016] [Indexed: 01/19/2023] Open
Abstract
Benzene, formaldehyde (FA) and trichloroethylene (TCE) are ubiquitous chemicals in workplaces and the general environment. Benzene is an established myeloid leukemogen and probable lymphomagen. FA is classified as a myeloid leukemogen but has not been associated with non-Hodgkin lymphoma (NHL), whereas TCE has been associated with NHL but not myeloid leukemia. Epidemiologic associations between FA and myeloid leukemia, and between benzene, TCE and NHL are, however, still debated. Previously, we showed that these chemicals are associated with hematotoxicity in cross-sectional studies of factory workers in China, which included extensive personal monitoring and biological sample collection. Here, we compare and contrast patterns of hematotoxicity, monosomy 7 in myeloid progenitor cells (MPCs), and B-cell activation biomarkers across these studies to further evaluate possible mechanisms of action and consistency of effects with observed hematologic cancer risks. Workers exposed to benzene or FA, but not TCE, showed declines in cell types derived from MPCs, including granulocytes and platelets. Alterations in lymphoid cell types, including B cells and CD4+ T cells, and B-cell activation markers were apparent in workers exposed to benzene or TCE. Given that alterations in myeloid and lymphoid cell types are associated with hematological malignancies, our data provide biologic insight into the epidemiological evidence linking benzene and FA exposure with myeloid leukemia risk, and TCE and benzene exposure with NHL risk.
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Affiliation(s)
| | - Luoping Zhang
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | | | - Guilan Li
- Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - Weihong Guo
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | | | - Songnian Yin
- Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Stephen M Rappaport
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | | | - Zhiying Ji
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Chuangyi Qiu
- Guangdong Poison Control Center, Guangzhou, China
| | - Yichen Ge
- Guangdong Poison Control Center, Guangzhou, China
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Boris Reiss
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA and
| | - Banghua Wu
- Guangdong Poison Control Center, Guangzhou, China
| | - Yuxuan Xie
- Guangdong Poison Control Center, Guangzhou, China
| | - Laiyu Li
- Guangdong Poison Control Center, Guangzhou, China
| | - Fei Yue
- Guangdong Poison Control Center, Guangzhou, China
| | | | | | - Richard B Hayes
- Division of Epidemiology, Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Hanlin Huang
- Guangdong Poison Control Center, Guangzhou, China
| | - Martyn T Smith
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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