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Incidence and mortality of myeloid malignancies in children,adolescents and Young adults in Brazil: A population-based study
Affiliation:1. Programa de Hematologia-Oncologia Pediátrica - PHOP, Instituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brazil;2. Divisão de Vigilância e Análise de Situação, Coordenação de Prevenção e Vigilância, Instituto Nacional de Câncer José Alencar Gomes da Silva, Rio de Janeiro, Brazil;3. Secretaria Estadual de Saúde da Paraíba, Registro de Câncer de Base Populacional de João Pessoa, Brazil;4. Secretaria Municipal de Saúde de Recife, Registro de Câncer de Base Populacional de Recife, Brazil;5. Secretaria de Saúde do Estado do Ceará, Registro de Câncer de Base Populacional de Fortaleza, Brazil;6. Secretaria Estadual de Saúde de Minas Gerais, Superintendência de Epidemiologia, Registro de Câncer de Base Populacional de Belo Horizonte, Brazil;7. Hospital de Câncer de Barretos, Fundação Pio XII, Registro de Câncer de Base Populacional de Barretos, Brazil;8. Coordenação Estadual de Atenção Oncológica, Secretaria Estadual de Saúde do Pará, Registro de Câncer de Base Populacional de Belém, Brazil;9. Secretaria Municipal de Saúde de Curitiba, Registro de Câncer de Base Populacional de Curitiba, Brazil;10. Secretaria Estadual de Saúde, Hospital Gov. João Alves Filho, Registro de Câncer de Base Populacional de Aracaju, Brazil;11. Fundação Centro de Controle de Oncologia, Registro de Câncer de Base Populacional de Manaus, Brazil;12. Associação de Combate ao Câncer de Goiás, Registro de Câncer de Base Populacional de Goiânia, Brazil;13. Secretaria Estadual de Saúde do Espírito Santo, Registro de Câncer de Base Populacional de Espírito Santo, Brazil;14. Faculdade de Saúde Pública da Universidade de São Paulo, Registro de Câncer de Base Populacional de São Paulo, Brazil;15. Secretaria Municipal de Saúde de Porto Alegre, Registro de Câncer de Base Populacional de Porto Alegre, Brazil;p. Secretaria de Estado de Saúde do Mato Grosso, Superintendência de Vigilância em Saúde, Registro de Câncer de Base Populacional de Cuiabá, Brazil;q. Fundação Hospital Amaral Carvalho, Registro de Câncer de Base Populacional de Jahu, Brazil;1. Centre for Big Data Research in Health, University of New South Wales Sydney, NSW, Australia;2. Centre for Primary Health Care and Equity, University of New South Wales Sydney, NSW, Australia;3. School of Medicine, University of Wollongong, NSW, Australia;4. National Drug and Alcohol Research Centre, University of New South Wales Sydney, NSW, Australia;5. Faculty of Medicine and Health, University of Sydney, NSW, Australia;6. Cancer Voices NSW, NSW, Australia;1. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;2. Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences Durham, NC, United States;3. Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;4. Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States;5. Biospecimen Processing Center, University of North Carolina, Chapel Hill, NC, United States;6. Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA, United States;7. Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States;8. Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States;9. Showers Center for Childhood Cancer and Blood Disorder, Akron Children’s Hospital, Akron, OH, United States;10. Department of Biostatistics, Colleges of Medicine and Public Health & Health Professions, University of Florida, Children’s Oncology Group Statistics & Data Center, Gainesville, FL, United States;11. Department of Otolaryngology, Washington University School of Medicine, St Louis, MO, 63110;1. Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Nordre Fasanvej 57, 2000, Frederiksberg, Denmark;2. Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892-9778, USA;3. Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark;1. Department of Surgery, Division of Urology, Center for Integrated Research on Cancer and Lifestyle, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA;2. Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA;3. Surgery Section, Durham VA Health Care System, Durham, NC, USA;4. Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA, USA;5. Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA;6. Institute for Translational Epidemiology, and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA;7. Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, USA;1. Universidad de Las Palmas de Gran Canaria, Calle Juan de Quesada 30, 35001 Las Palmas de Gran Canaria, Spain;2. Dermatology Department, Hospital Universitario de Gran Canaria Doctor Negrín, Barranco de la Ballena s/n, 35010 Las Palmas de Gran Canaria, Spain;3. Research Unit, Hospital Universitario de Gran Canaria Doctor Negrín, Barranco de la Ballena s/n, 35010 Las Palmas de Gran Canaria, Spain;1. Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China;2. Department of Medical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & Affiliated Cancer Hospital of Nanjing Medical University, Nanjing China;3. State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210023, China;4. State Key Laboratory of Bioelectronics, Southeast University, Nanjing, China
Abstract:BackgroundMyeloid malignancies (MM) are heterogeneous when it comes to incidence rates and pathogenesis. These variation rates are important to generate hypotheses on causal aetiology. This study aimed to describe incidence and mortality patterns of MM among children, adolescents and young adults (cAYA) in Brazil and to evaluate trends in incidence and mortality rate overtime.MethodsData were extracted from a dataset of 15 Population-based Cancer Registries located in five Brazilian geographical regions and calculated by age-specific, crude, and age-standardized incidence (ASR) and mortality rates per million persons. Joinpoint regression analyses were performed for trends evaluations, regionally. Annual Percent Change (APC) and Average Annual Percent Change (AAPC) were also estimated.ResultsThe overall ASR for incidence and mortality of MM in Brazil was 14.57 and 8.83 per million, respectively. The AML (non-APL AML and APL) incidence rate is 8.18 per million, whereas other MM subtypes altogether have an incidence rate of 2.62 per million, and not otherwise specified (NOS) is 3.70 per million. The analysis of incidence trends (AAPC) showed a significant decline in Manaus (-5.6%) and São Paulo (-4.7%), and a significant increase was observed in Fortaleza (5.8%). Mortality trends steadily declined in all registries, with significant declines occurring in Goiânia (-1.5%), Belo Horizonte (-2.3%), São Paulo (-2.5%), Curitiba (-2.8%) and Porto Alegre (-4.1%).ConclusionOur findings showed differences in the incidence and mortality rates of MM in cAYA in Brazil, geographically. Infants-AML have the highest incidence within the cAYA population (17.42 per million). There was a substantial decrease in mortality rate observed, which was interpreted as an improvement in MM recognition and therapeutic approach.
Keywords:Cancer registry  Myeloid malignancies  Incidence rate  Mortality rate  Trends  Acute myeloid leukaemia
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