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Hinchliffe A, Kogevinas M, Pérez-Gómez B, Ardanaz E, Amiano P, Marcos-Delgado A, Castaño-Vinyals G, Llorca J, Moreno V, Alguacil J, Fernandez-Tardón G, Salas D, Marcos-Gragera R, Aragonés N, Guevara M, Gil L, Martin V, Benavente Y, Gomez-Acebo I, Santibáñez M, Ángel Alba M, García AM, Pollán M, Turner MC. Occupational Heat Exposure and Breast Cancer Risk in the MCC-Spain Study. Cancer Epidemiol Biomarkers Prev 2020; 30:364-372. [PMID: 33268491 DOI: 10.1158/1055-9965.epi-20-0732] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/30/2020] [Accepted: 11/25/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Mechanisms linking occupational heat exposure with chronic diseases have been proposed. However, evidence on occupational heat exposure and cancer risk is limited. METHODS We evaluated occupational heat exposure and female breast cancer risk in a large Spanish case-control study. We enrolled 1,738 breast cancer cases and 1,910 frequency-matched population controls. A Spanish job-exposure matrix, MatEmEsp, was used to assign estimates of the proportion of workers exposed (P ≥ 25% for at least 1 year) and work time with heat stress (wet bulb globe temperature ISO 7243) for each occupation. We used three exposure indices: ever versus never exposed, lifetime cumulative exposure, and duration of exposure (years). We estimated ORs and 95% confidence intervals (CI), applying a lag period of 5 years and adjusting for potential confounders. RESULTS Ever occupational heat exposure was associated with a moderate but statistically significant higher risk of breast cancer (OR 1.22; 95% CI, 1.01-1.46), with significant trends across categories of lifetime cumulative exposure and duration (P trend = 0.01 and 0.03, respectively). Stronger associations were found for hormone receptor-positive disease (OR ever exposure = 1.38; 95% CI, 1.12-1.67). We found no confounding effects from multiple other common occupational exposures; however, results attenuated with adjustment for occupational detergent exposure. CONCLUSIONS This study provides some evidence of an association between occupational heat exposure and female breast cancer risk. IMPACT Our results contribute substantially to the scientific literature. Further investigations are needed considering multiple occupational exposures.
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Affiliation(s)
- Alice Hinchliffe
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Eva Ardanaz
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra (IdiSNA), Pamplona, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, San Sebastian, Spain
| | | | - Gemma Castaño-Vinyals
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Javier Llorca
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,University of Cantabria - IDIVAL, Santander, Spain
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO) and Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospital Duran i Reynals, Barcelona, Spain.,Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, Huelva, Spain
| | - Guillermo Fernandez-Tardón
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Institute of Health Research of the Principality of Asturias (ISPA), Public Health Department, University of Oviedo, Oviedo, Spain
| | - Dolores Salas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Valencia, Spain.,General Directorate Public Health, Valencian Community, Valencia, Spain
| | - Rafael Marcos-Gragera
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona, Spain.,Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, Spain
| | - Marcela Guevara
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Instituto de Salud Pública de Navarra (IdiSNA), Pamplona, Spain
| | - Leire Gil
- Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, San Sebastian, Spain
| | - Vicente Martin
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Instituto de Biomedicina (IBIOMED)
| | - Yolanda Benavente
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, IDIBELL, Institut Català d'Oncologia, L'Hospitalet De Llobregat, Barcelona, Spain
| | - Ines Gomez-Acebo
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,University of Cantabria - IDIVAL, Santander, Spain
| | | | - Miguel Ángel Alba
- Industrial Hygiene Department, Quirón Prevención, S.L.U., Barcelona, Barcelona, Spain
| | - Ana M García
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Departamento de Medicina Preventiva y Salud Pública, Universitat de València, València, Spain.,Center for Research in Occupational Health (CISAL), Universitat Pompeu Fabra, Barcelona, Spain
| | - Marina Pollán
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain
| | - Michelle C Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública - CIBERESP), Madrid, Spain.,McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Canada
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Yin X, Sun J, Zhang H, Wang S. Comprehensive analysis of multi Ewing sarcoma microarray datasets identifies several prognosis biomarkers. Mol Med Rep 2018; 18:4229-4238. [PMID: 30221671 PMCID: PMC6172382 DOI: 10.3892/mmr.2018.9432] [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] [Received: 01/16/2018] [Accepted: 07/25/2018] [Indexed: 11/27/2022] Open
Abstract
Ewing sarcoma (ES) is a common primary malignancy in children and adolescents. Progression of treatment methods hasn't contributed a lot to the imrovement of prognosis. To identify potential prognostic biomarkers, a meta-analysis pipeline of multi-gene expression datasets for ES from the Gene Expression Omnibus (GEO) was performed. Three datasets were screened and differential expression genes (DEGs) in ES samples compared with normal tissues were identified through limma package and subjected to network analysis. As a result, 1,470 DEGs were obtained which were mainly involved in biological processes associated with immune response and transcription regulation. Network analysis obtained 22 core genes with high network degree and fold change. Kaplan-Meier analysis based on ES datasets from The Cancer Genome Atlas identified five genes, including glycogen phosphorylase, muscle-associated, myocyte-specific enhancer factor 2C, tripartite motif containing 63, budding uninhibited by benzimidazoses1 and Ras GTPase-activating protein 1, whose altered expression profiles are significantly associated with survival. Changes of their expression values were further confirmed through RT-qPCR in ES cell and normal cell lines. Those genes may be considered as potential prognostic biomarkers of ES and should be helpful for its early diagnosis and treatment.
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Affiliation(s)
- Xuqing Yin
- Department of Traumatic Orthopaedics, Central Hospital of Zibo, Zibo, Shandong 255036, P.R. China
| | - Jiubo Sun
- Department of Radiation Oncology, Central Hospital of Zibo, Zibo, Shandong 255036, P.R. China
| | - Haiyang Zhang
- Department of Microinvasive Othopaedics, Central Hospital of Zibo, Zibo, Shandong 255036, P.R. China
| | - Shuai Wang
- Department of Spine Surgery, Jining No. 1 People's Hospital, Jining, Shandong 272000, P.R. China
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