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Turner MC, Radzikowska U, Ferastraoaru DE, Pascal M, Wesseling P, McCraw A, Backes C, Bax HJ, Bergmann C, Bianchini R, Cari L, de Las Vecillas L, Izquierdo E, Lind-Holm Mogensen F, Michelucci A, Nazarov PV, Niclou SP, Nocentini G, Ollert M, Preusser M, Rohr-Udilova N, Scafidi A, Toth R, Van Hemelrijck M, Weller M, Jappe U, Escribese MM, Jensen-Jarolim E, Karagiannis SN, Poli A. AllergoOncology: Biomarkers and refined classification for research in the allergy and glioma nexus-A joint EAACI-EANO position paper. Allergy 2024; 79:1419-1439. [PMID: 38263898 DOI: 10.1111/all.15994] [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: 11/08/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024]
Abstract
Epidemiological studies have explored the relationship between allergic diseases and cancer risk or prognosis in AllergoOncology. Some studies suggest an inverse association, but uncertainties remain, including in IgE-mediated diseases and glioma. Allergic disease stems from a Th2-biased immune response to allergens in predisposed atopic individuals. Allergic disorders vary in phenotype, genotype and endotype, affecting their pathophysiology. Beyond clinical manifestation and commonly used clinical markers, there is ongoing research to identify novel biomarkers for allergy diagnosis, monitoring, severity assessment and treatment. Gliomas, the most common and diverse brain tumours, have in parallel undergone changes in classification over time, with specific molecular biomarkers defining glioma subtypes. Gliomas exhibit a complex tumour-immune interphase and distinct immune microenvironment features. Immunotherapy and targeted therapy hold promise for primary brain tumour treatment, but require more specific and effective approaches. Animal studies indicate allergic airway inflammation may delay glioma progression. This collaborative European Academy of Allergy and Clinical Immunology (EAACI) and European Association of Neuro-Oncology (EANO) Position Paper summarizes recent advances and emerging biomarkers for refined allergy and adult-type diffuse glioma classification to inform future epidemiological and clinical studies. Future research is needed to enhance our understanding of immune-glioma interactions to ultimately improve patient prognosis and survival.
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Affiliation(s)
- Michelle C Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Urszula Radzikowska
- Swiss Institute of Allergy and Asthma Research (SIAF), University of Zurich, Davos, Switzerland
- Christine Kühne - Center for Allergy Research and Education (CK-CARE), Davos, Switzerland
| | - Denisa E Ferastraoaru
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mariona Pascal
- Immunology Department, Centre de Diagnòstic Biomèdic, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Medicine, Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Pieter Wesseling
- Department of Pathology, Amsterdam University Medical Centers/VUmc, Amsterdam, The Netherlands
- Laboratory for Childhood Cancer Pathology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Alexandra McCraw
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
| | - Claudine Backes
- National Cancer Registry (Registre National du Cancer (RNC)), Luxembourg Institute of Health (LIH), Strassen, Luxembourg
- Public Health Expertise Unit, Department of Precision Health, Cancer Epidemiology and Prevention (EPI CAN), Luxembourg Institute of Health, Strassen, Luxembourg
| | - Heather J Bax
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
| | - Christoph Bergmann
- Department of Otorhinolaryngology, RKM740 Interdisciplinary Clinics, Düsseldorf, Germany
| | - Rodolfo Bianchini
- Center of Pathophysiology, Infectiology and Immunology, Institute of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria
- The Interuniversity Messerli Research Institute Vienna, University of Veterinary Medecine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
| | - Luigi Cari
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | - Elena Izquierdo
- Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Frida Lind-Holm Mogensen
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Alessandro Michelucci
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Petr V Nazarov
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Simone P Niclou
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
- NORLUX Neuro-Oncology laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Giuseppe Nocentini
- Section of Pharmacology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Markus Ollert
- Department of Infection and Immunity, Luxembourg Institute of Health, Esch-Sur-Alzette, Luxembourg
- Department of Dermatology and Allergy Centre, Odense University Hospital, Odense, Denmark
| | - Matthias Preusser
- Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Nataliya Rohr-Udilova
- Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
- Liver Cancer (HCC) Study Group Vienna, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Andrea Scafidi
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Faculty of Sciences, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Reka Toth
- Multiomics Data Science, Department of Cancer Research, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Mieke Van Hemelrijck
- Translational Oncology and Urology Research (TOUR), School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Uta Jappe
- Division of Clinical and Molecular Allergology, Priority Research Area Chronic Lung Diseases, Research Center Borstel, Leibniz Lung Center, German Center for Lung Research (DZL), Airway Research Center North (ARCN), Borstel, Germany
- Department of Pneumology, Interdisciplinary Allergy Outpatient Clinic, University of Luebeck, Luebeck, Germany
| | - Maria M Escribese
- Institute of Applied Molecular Medicine Instituto de Medicina Molecular Aplicada Nemesio Díez (IMMA), Department of Basic Medical Sciences, Facultad de Medicina, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Erika Jensen-Jarolim
- Center of Pathophysiology, Infectiology and Immunology, Institute of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria
- The Interuniversity Messerli Research Institute Vienna, University of Veterinary Medecine Vienna, Medical University Vienna, University Vienna, Vienna, Austria
| | - Sophia N Karagiannis
- St. John's Institute of Dermatology, School of Basic & Medical Biosciences, King's College London, Guy's Hospital, London, UK
- Breast Cancer Now Research Unit, School of Cancer & Pharmaceutical Sciences, King's College London, Innovation Hub, Guy's Cancer Centre, London, UK
| | - Aurélie Poli
- Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
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Smith CJ, Perfetti TA, Chokshi C, Venugopal C, Ashford JW, Singh SK. Alkylating agents are possible inducers of glioblastoma and other brain tumors. Hum Exp Toxicol 2024; 43:9603271241256598. [PMID: 38758727 DOI: 10.1177/09603271241256598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Abstract
Epidemiological evidence of an association between exposure to chemical carcinogens and an increased risk for development of glioblastoma (GBM) is limited to weak statistical associations in cohorts of firefighters, farmers, residents exposed to air pollution, and soldiers exposed to toxic chemicals (e.g., military burn pits, oil-well fire smoke). A history of ionizing radiation therapy to the head or neck is associated with an increased risk of GBM. Ionizing radiation induces point mutations, frameshift mutations, double-strand breaks, and chromosomal insertions or deletions. Mutational profiles associated with chemical exposures overlap with the broad mutational patterns seen with ionizing radiation. Data on 16 agents (15 chemicals and radio frequency radiation) that induced tumors in the rodent brain were extracted from 602 Technical Reports on 2-years cancer bioassays found in the National Toxicology Program database. Ten of the 15 chemical agents that induce brain tumors are alkylating agents. Three of the 15 chemical agents have idiosyncratic structures and might be alkylating agents. Only two of the 15 chemical agents are definitively not alkylating agents. The rat model is thought to be of possible relevance to humans suggesting that exposure to alkylating chemicals should be considered in epidemiology studies on GBM and other brain tumors.
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Affiliation(s)
- Carr J Smith
- Society for Brain Mapping and Therapeutics, Pacific Palisades, CA, USA
| | | | - Chirayu Chokshi
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Chitra Venugopal
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Center for Discovery in Cancer Research (CDCR), McMaster University, Hamilton, ON, Canada
| | - J Wesson Ashford
- Stanford University and VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Sheila K Singh
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Center for Discovery in Cancer Research (CDCR), McMaster University, Hamilton, ON, Canada
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Wu WYY, Dahlin AM, Wibom C, Björkblom B, Melin B. Prediagnostic biomarkers for early detection of glioma—using case–control studies from cohorts as study approach. Neurooncol Adv 2022; 4:ii73-ii80. [PMID: 36380862 PMCID: PMC9650466 DOI: 10.1093/noajnl/vdac036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Understanding the trajectory and development of disease is important and the knowledge can be used to find novel targets for therapy and new diagnostic tools for early diagnosis. Methods Large cohorts from different parts of the world are unique assets for research as they have systematically collected plasma and DNA over long-time periods in healthy individuals, sometimes even with repeated samples. Over time, the population in the cohort are diagnosed with many different diseases, including brain tumors. Results Recent studies have detected genetic variants that are associated with increased risk of glioblastoma and lower grade gliomas specifically. The impact for genetic markers to predict disease in a healthy population has been deemed low, and a relevant question is if the genetic variants for glioma are associated with risk of disease or partly consist of genes associated to survival. Both metabolite and protein spectra are currently being explored for early detection of cancer. Conclusions We here present a focused review of studies of genetic variants, metabolomics, and proteomics studied in prediagnostic glioma samples and discuss their potential in early diagnostics.
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Affiliation(s)
- Wendy Yi-Ying Wu
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | - Anna M Dahlin
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | - Carl Wibom
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
| | | | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University , Umeå , Sweden
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Muskens IS, Zhou M, Mccoy L, Bracci PM, Hansen HM, Gauderman WJ, Wiencke JK, Wrensch MR, Wiemels JL. Immune factors preceding diagnosis of glioma: a Prostate Lung Colorectal Ovarian Cancer Screening Trial nested case-control study. Neurooncol Adv 2019; 1:vdz031. [PMID: 31807733 PMCID: PMC6881819 DOI: 10.1093/noajnl/vdz031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Background Epidemiological studies of adult glioma have identified genetic and environmental risk factors, but much remains unclear. The aim of the current study was to evaluate anthropometric, disease-related, and prediagnostic immune-related factors for relationship with glioma risk. Methods We conducted a nested case–control study among the intervention arm of the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) Screening Trial. One hundred and twenty-four glioma cases were identified and each matched to four controls. Baseline characteristics were collected at enrollment and were evaluated for association with glioma status. Serum specimens were collected at yearly intervals and were analyzed for immune-related factors including TGF-β1, TNF-α, total IgE, and allergen-specific IgE. Immune factors were evaluated at baseline in a multivariate conditional logistic regression model, along with one additional model that incorporated the latest available measurement. Results A family history of glioma among first-degree relatives was associated with increased glioma risk (OR = 4.41, P = .002). In multivariate modeling of immune factors at baseline, increased respiratory allergen-specific IgE was inversely associated with glioma risk (OR for allergen-specific IgE > 0.35 PAU/L: 0.59, P = .03). A logistic regression model that incorporated the latest available measurements found a similar association for allergen-specific IgE (P = .005) and showed that elevated TGF-β1 was associated with increased glioma risk (P-value for trend <.0001). Conclusion The results from this prospective prediagnostic study suggest that several immune-related factors are associated with glioma risk. The association observed for TGF-β1 when sampling closer to the time of diagnosis may reflect the nascent brain tumor’s feedback on immune function.
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Affiliation(s)
- Ivo S Muskens
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Mi Zhou
- Department of Epidemiology and Biostatistics
| | - Lucie Mccoy
- Department of Neurological Surgery, School of Medicine, University of California, San Francisco, San Francisco, CA
| | | | - Helen M Hansen
- Department of Neurological Surgery, School of Medicine, University of California, San Francisco, San Francisco, CA
| | - W James Gauderman
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - John K Wiencke
- Department of Neurological Surgery, School of Medicine, University of California, San Francisco, San Francisco, CA
| | - Margaret R Wrensch
- Department of Neurological Surgery, School of Medicine, University of California, San Francisco, San Francisco, CA
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.,Department of Epidemiology and Biostatistics
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Ferastraoaru D, Rosenstreich D. IgE deficiency and prior diagnosis of malignancy: Results of the 2005-2006 National Health and Nutrition Examination Survey. Ann Allergy Asthma Immunol 2018; 121:613-618. [PMID: 30086407 DOI: 10.1016/j.anai.2018.07.036] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 07/10/2018] [Accepted: 07/30/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND Data on patients from tertiary-level health care facilities suggest that IgE-deficient (IgE <2.5 kU/L) patients have high rates of prior malignant tumors. OBJECTIVE To investigate the association between IgE levels and diagnosis of malignancy in non-institution-associated patients using the 2005-2006 US National Health and Nutrition Examination Survey (NHANES) cohort. METHODS All individuals with available IgE levels and known prior diagnosis of malignancy were divided into 4 groups: IgE deficient (IgE, <2.5 kU/L), normal IgE levels (2.5-100 kU/L), high IgE levels (100-1,000 kU/L), and very high IgE levels (≥1,000 kU/L). Rates of malignancy were compared among groups. RESULTS Of 4,488 individuals with data on IgE levels and malignancy status, 7.4% had a prior diagnosis of cancer. The rate of prior malignancy was significantly higher in the IgE-deficient group (12.6%) compared with individuals with high (6.7%, P = .04) and very high IgE levels (5.3%, P = 0.04). In the IgE-deficient group, only 3 patients had a diagnosis of malignancy within 3 years of IgE measurement. A mean (SD) of 10.3 (9.6) years elapsed between the time of malignancy diagnosis and IgE collection time; therefore, active neoplasm or recent chemotherapy was less likely to explain the very low IgE levels. Types of malignancies in the IgE-deficiency group included breast cancer (n = 6), nonmelanoma or unknown skin cancer (n = 3), uterine cancer (n = 2), cervical cancer (n = 1), lung cancer (n = 1), prostate cancer (n = 1), and hematologic cancer (n = 1). CONCLUSION In this non-institution-based cohort, IgE deficiency was associated with a higher rate of prior diagnosis of malignancies compared with individuals with high or very high IgE levels. Prospective studies are essential to better evaluate the association between IgE levels and risk of cancer.
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Affiliation(s)
- Denisa Ferastraoaru
- Department of Internal Medicine/Allergy-Immunology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York.
| | - David Rosenstreich
- Department of Internal Medicine/Allergy-Immunology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York
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