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Cullati S, Sieber S, Gabriel R, Studer M, Chiolero A, van der Linden BWA. Lifetime employment trajectories and cancer. Sci Rep 2024; 14:20224. [PMID: 39215024 PMCID: PMC11364773 DOI: 10.1038/s41598-024-70909-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 08/22/2024] [Indexed: 09/04/2024] Open
Abstract
Working life is associated with lifestyle, screening uptake, and occupational health risks that may explain differences in cancer onset. To better understand the association between working life and cancer risk, we need to account for the entire employment history. We investigated whether lifetime employment trajectories are associated with cancer risk. We used data from 6809 women and 5716 men, average age 70 years, from the Survey of Health, Ageing, and Retirement in Europe. Employment history from age 16 to 65 was collected retrospectively using a life calendar and trajectories were constructed using sequence analysis. Associations between employment trajectories and self-reported cancer were assessed using logistic regression. We identified eight employment trajectories for women and two for men. Among women, the risk of cancer was higher in the trajectories "Mainly full-time to home/family", "Full-time or home/family to part-time", "Mainly full-time", and "Other" compared with the "Mainly home/family" trajectory. Among men, the risk of cancer was lower in the "Mainly self-employment" trajectory compared with "Mainly full-time". We could show how employment trajectories were associated with cancer risk, underlining the potential of sequence analysis for life course epidemiology. More research is needed to understand these associations and determine if causal relationships exist.
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Affiliation(s)
- Stéphane Cullati
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland.
- Quality of Care Service, University Hospitals of Geneva, Geneva, Switzerland.
| | - Stefan Sieber
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
| | - Rainer Gabriel
- Institute of Diversity and Social Integration, Zurich University of Applied Sciences, Winterthur, Switzerland
| | - Matthias Studer
- Institute of Demographics and Socioeconomics, University of Geneva, Geneva, Switzerland
| | - Arnaud Chiolero
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland
- School of Population and Global Health, McGill University, Montreal, Canada
- Swiss School of Public Health (SSPH+), Zurich, Switzerland
| | - Bernadette W A van der Linden
- Population Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland.
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Cullati S, Sieber S, Gabriel R, Studer M, Chiolero A, van der Linden BWA. Lifetime Employment Trajectories and Cancer: A Population-Based Cohort Study. RESEARCH SQUARE 2024:rs.3.rs-4207039. [PMID: 38699299 PMCID: PMC11065066 DOI: 10.21203/rs.3.rs-4207039/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Working life is associated with lifestyle, screening uptake, and occupational health risks that may explain differences in cancer onset. To better understand the association between working life and cancer risk, we need to account for the entire employment history. We investigated whether lifetime employment trajectories are associated with cancer risk. We used data from 6,809 women and 5,716 men, average age 70 years, from the Survey of Health, Ageing, and Retirement in Europe. Employment history from age 16 to 65 was collected retrospectively using a life calendar and trajectories were constructed using sequence analysis. Associations between employment trajectories and self-reported cancer were assessed using logistic regression. We identified eight employment trajectories for women and two for men. Among women, the risk of cancer was higher in the trajectories "Mainly full-time to home/family", "Full-time or home/family to part-time", "Mainly full-time", and "Other" compared with the "Mainly home/family" trajectory. Among men, the risk of cancer was lower in the "Mainly self-employment" trajectory compared with "Mainly full-time". We could show how employment trajectories were associated with cancer risk, underlining the potential of sequence analysis for life course epidemiology. More research is needed to understand these associations and determine if causal relationships exist.
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3
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Bradfield JP, Kember RL, Ulrich A, Balkhiyarova Z, Alyass A, Aris IM, Bell JA, Broadaway KA, Chen Z, Chai JF, Davies NM, Fernandez-Orth D, Bustamante M, Fore R, Ganguli A, Heiskala A, Hottenga JJ, Íñiguez C, Kobes S, Leinonen J, Lowry E, Lyytikainen LP, Mahajan A, Pitkänen N, Schnurr TM, Have CT, Strachan DP, Thiering E, Vogelezang S, Wade KH, Wang CA, Wong A, Holm LA, Chesi A, Choong C, Cruz M, Elliott P, Franks S, Frithioff-Bøjsøe C, Gauderman WJ, Glessner JT, Gilsanz V, Griesman K, Hanson RL, Kaakinen M, Kalkwarf H, Kelly A, Kindler J, Kähönen M, Lanca C, Lappe J, Lee NR, McCormack S, Mentch FD, Mitchell JA, Mononen N, Niinikoski H, Oken E, Pahkala K, Sim X, Teo YY, Baier LJ, van Beijsterveldt T, Adair LS, Boomsma DI, de Geus E, Guxens M, Eriksson JG, Felix JF, Gilliland FD, Biobank PM, Hansen T, Hardy R, Hivert MF, Holm JC, Jaddoe VWV, Järvelin MR, Lehtimäki T, Mackey DA, Meyre D, Mohlke KL, Mykkänen J, Oberfield S, Pennell CE, Perry JRB, Raitakari O, Rivadeneira F, Saw SM, Sebert S, Shepherd JA, Standl M, Sørensen TIA, Timpson NJ, Torrent M, Willemsen G, Hypponen E, Power C, McCarthy MI, Freathy RM, Widén E, Hakonarson H, Prokopenko I, Voight BF, Zemel BS, Grant SFA, Cousminer DL. Trans-ancestral genome-wide association study of longitudinal pubertal height growth and shared heritability with adult health outcomes. Genome Biol 2024; 25:22. [PMID: 38229171 PMCID: PMC10790528 DOI: 10.1186/s13059-023-03136-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 11/30/2023] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Pubertal growth patterns correlate with future health outcomes. However, the genetic mechanisms mediating growth trajectories remain largely unknown. Here, we modeled longitudinal height growth with Super-Imposition by Translation And Rotation (SITAR) growth curve analysis on ~ 56,000 trans-ancestry samples with repeated height measurements from age 5 years to adulthood. We performed genetic analysis on six phenotypes representing the magnitude, timing, and intensity of the pubertal growth spurt. To investigate the lifelong impact of genetic variants associated with pubertal growth trajectories, we performed genetic correlation analyses and phenome-wide association studies in the Penn Medicine BioBank and the UK Biobank. RESULTS Large-scale growth modeling enables an unprecedented view of adolescent growth across contemporary and 20th-century pediatric cohorts. We identify 26 genome-wide significant loci and leverage trans-ancestry data to perform fine-mapping. Our data reveals genetic relationships between pediatric height growth and health across the life course, with different growth trajectories correlated with different outcomes. For instance, a faster tempo of pubertal growth correlates with higher bone mineral density, HOMA-IR, fasting insulin, type 2 diabetes, and lung cancer, whereas being taller at early puberty, taller across puberty, and having quicker pubertal growth were associated with higher risk for atrial fibrillation. CONCLUSION We report novel genetic associations with the tempo of pubertal growth and find that genetic determinants of growth are correlated with reproductive, glycemic, respiratory, and cardiac traits in adulthood. These results aid in identifying specific growth trajectories impacting lifelong health and show that there may not be a single "optimal" pubertal growth pattern.
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Affiliation(s)
- Jonathan P Bradfield
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Rachel L Kember
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Anna Ulrich
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Zhanna Balkhiyarova
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, UK
| | - Akram Alyass
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Joshua A Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - K Alaine Broadaway
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, 90032, USA
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Neil M Davies
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Ruby Fore
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Amitavo Ganguli
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Anni Heiskala
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Carmen Íñiguez
- Department of Statistics and Computational Research, Universitat de València, Valencia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - Sayuko Kobes
- Phoenix Epidemiology and Clinical Research Center, NIDDK, NIH, Bethesda, USA
| | - Jaakko Leinonen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Estelle Lowry
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Leo-Pekka Lyytikainen
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, 33521, Tampere, Finland
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Niina Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Theresia M Schnurr
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Christian Theil Have
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. Von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Suzanne Vogelezang
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Callaghan, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, London, UK
| | - Louise Aas Holm
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Alessandra Chesi
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Catherine Choong
- Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Paul Elliott
- MRC Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Steve Franks
- Institute of Reproductive & Developmental Biology, Imperial College London, London, UK
| | - Christine Frithioff-Bøjsøe
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - W James Gauderman
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, 90032, USA
| | - Joseph T Glessner
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Vicente Gilsanz
- Center for Endocrinology, Diabetes & Metabolism, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | | | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Center, NIDDK, NIH, Bethesda, USA
| | - Marika Kaakinen
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- Institute of Reproductive & Developmental Biology, Imperial College London, London, UK
| | - Heidi Kalkwarf
- Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH, USA
| | - Andrea Kelly
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Division of Endocrinology & Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Joseph Kindler
- College of Family and Consumer Sciences, University of Georgia, Athens, GA, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, 33521, Tampere, Finland
| | - Carla Lanca
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Joan Lappe
- Department of Medicine and College of Nursing, Creighton University School of Medicine, Omaha, NB, USA
| | - Nanette R Lee
- USC-Office of Population Studies Foundation, Inc, University of San Carlos, Cebu, Philippines
| | - Shana McCormack
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Division of Endocrinology & Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Frank D Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Jonathan A Mitchell
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center - Tampere, Tampere University, 33014, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, 33520, Tampere, Finland
| | - Harri Niinikoski
- Department of Pediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
- Department of Physiology, University of Turku, Turku, Finland
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA, 02115, USA
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Unit for Health and Physical Activity, University of Turku, Turku, Finland
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Leslie J Baier
- Phoenix Epidemiology and Clinical Research Center, NIDDK, NIH, Bethesda, USA
| | - Toos van Beijsterveldt
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Linda S Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction & Development (AR&D) Research Institute, Amsterdam, the Netherlands
| | - Eco de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mònica Guxens
- ISGlobal, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Johan G Eriksson
- Institute of Clinical Medicine Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Obstetrics & Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Frank D Gilliland
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, 90032, USA
| | | | - Torben Hansen
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Hardy
- Cohort and Longitudinal Studies Enhancement Resources (CLOSER), UCL Institute of Education, London, UK
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Jens-Christian Holm
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Pediatrics, The Children's Obesity Clinic, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- The Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
- Unit of Primary Health Care, Oulu University Hospital, OYS, Kajaanintie 50, 90220, Oulu, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center - Tampere, Tampere University, 33014, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, 33520, Tampere, Finland
| | - David A Mackey
- Lions Eye Institute, Centre for Ophthalmology and Visual Science, Centre for Eye Research Australia, University of Western Australia, Perth, WA, Australia
| | - David Meyre
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada
- Inserm UMR_S1256 Nutrition-Genetics-Environmental Risk Exposure, University of Lorraine, Nancy, France
- Department of Biochemistry-Molecular Biology-Nutrition, University Hospital Centre of Nancy, Nancy, France
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Juha Mykkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Sharon Oberfield
- Division of Pediatric Endocrinology, Columbia University Medical Center, New York, NY, USA
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, University of Newcastle, Callaghan, NSW, 2308, Australia
- Hunter Medical Research Institute, Newcastle, NSW, 2305, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, NSW, 2305, Australia
| | - John R B Perry
- Metabolic Research Laboratory, School of Clinical Medicine, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
- MRC Epidemiology Unit, School of Clinical Medicine, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, MRC-PHE Centre for Environment and Health, Imperial College London, London, W2 1PG, UK
| | - John A Shepherd
- Department of Epidemiology and Population Science, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München- German Research Center for Environmental Health, Neuherberg, Germany
| | - Thorkild I A Sørensen
- Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Maties Torrent
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Fundació Institut d'Investigació Sanitària Illes Balears - IdISBa, Palma, Spain
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Elina Hypponen
- UCL Great Ormond Street Institute of Child Health, London, UK
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Chris Power
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
- Current Address: Genentech, 1 DNA Way, San Francisco, CA, 94080, USA
| | - Rachel M Freathy
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, EX2 5DW, UK
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Inga Prokopenko
- Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, UK
- UMR 8199 - EGID, Institut Pasteur de Lille, CNRS, University of Lille, 59000, Lille, France
| | - Benjamin F Voight
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Babette S Zemel
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Division of Gastroenterology, Hepatology and Nutrition, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Struan F A Grant
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA.
- Division of Endocrinology & Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
| | - Diana L Cousminer
- Center for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Currently Employed By GlaxoSmithKline, 1250 S Collegeville Rd, Collegeville, PA, 19426, USA.
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4
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Wei W, Wu BJ, Wu Y, Tong ZT, Zhong F, Hu CY. Association between long-term ambient air pollution exposure and the risk of breast cancer: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:63278-63296. [PMID: 34227005 DOI: 10.1007/s11356-021-14903-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
Breast cancer is a complex and multifactorial disease which stems significantly from both environmental and genetic factors. A growing number of epidemiological studies have suggested that ambient air pollution (AAP) exposure may play an important role in breast cancer development. However, no consistency has been reached concerning whether high levels of air pollutant exposure were related to increased breast cancer risk among the current evidence. To further clarify such association of long-term AAP exposure with risk of breast cancer, a systematic review and meta-analysis of available evidence was performed. An extensive literature search in 3 academic databases was conducted before March 10, 2020. The risk of bias (RoB) for each individual study was evaluated with a domain-based assessment tool, developed by the National Toxicology Program/Office of Health Assessment and Translation (NTP/OHAT). Meta-estimates for air pollutant-breast cancer combinations were calculated for a standardized increment in exposure by random-effect models. The confidence level in the body of evidence and the certainty of evidence was also assessed for each air pollutant-breast cancer combination. The initial search identified 5446 studies, and 18 of them were eligible. The pooled analysis found an increased risk of breast cancer was associated with an increase in each 10 μg/m3 in nitrogen dioxide (NO2) exposure (hazard ratio (HR) = 1.02, 95% confidence interval (CI) = 1.01, 1.04), while particulate matter with aerodynamic diameters ≤ 2.5 μm and 10 μm (PM2.5, PM10) revealed no statistically significant associations with breast cancer risk. Our evaluation on the certainty of evidence indicates that there was a "moderate level of evidence" in the body of evidence for an association of NO2 exposure with an increased breast cancer risk and an "inadequate level of evidence" in the body of evidence for an association of PM2.5 and PM10 exposure with an increased breast cancer risk. Our study suggests long-term exposure to NO2 is related to an increased risk of breast cancer. However, in consideration of the limitations, further studies, especially performed in developing countries, with improvements in exposure assessment, outcome ascertainment, and confounder adjustment, are needed to draw a definite evidence of a causal relationship.
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Affiliation(s)
- Wu Wei
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Bing-Jie Wu
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China
| | - Yue Wu
- Department of Traditional and Western Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Zhu-Ting Tong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Fei Zhong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China.
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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5
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Von Holle A, O’Brien KM, Sandler DP, Weinberg CR. Evidence for familial clustering in breast cancer age of onset. Int J Epidemiol 2021; 50:97-104. [PMID: 33247915 PMCID: PMC7938508 DOI: 10.1093/ije/dyaa201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Familial clustering of age at onset would have implications for both personalized screening and aetiology, but has not been studied for breast cancer. METHODS We prospectively studied a cohort of 23 145 sisters to explore whether their breast cancer risk changed near the age at diagnosis of a previously affected older sister. Using an age-time-dependent variable in a Cox regression model, we estimated hazard ratios for breast cancer when participants were near their sister's diagnosis age, relative to similarly aged women whose sister was diagnosed at a very different age. To rule out a correlation driven by young-onset familial cancer, we separately investigated women who had enrolled at age 50 or older. RESULTS Of the 23 145 women, 1412 developed breast cancer during follow-up (median 9.5 years). The estimated hazard ratio was 1.80 (95% confidence interval: 1.18, 2.74) at their sister's age at diagnosis, suggesting a substantial increase in risk compared with women of the same age but whose sister was diagnosed at a very different age. Restriction to women who enrolled at or after age 50 produced similar results. CONCLUSIONS This familial clustering suggests that there may be important genetic and/or early environmental risk factors that influence the timing of breast cancer, even when onset is late in life. Personalized screening might need to account for the age at which a sister was earlier diagnosed with breast cancer.
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Affiliation(s)
- Ann Von Holle
- National Institute of Environmental Health Sciences, POB 12233, Research Triangle, NC, USA
| | - Katie M O’Brien
- National Institute of Environmental Health Sciences, POB 12233, Research Triangle, NC, USA
| | - Dale P Sandler
- National Institute of Environmental Health Sciences, POB 12233, Research Triangle, NC, USA
| | - Clarice R Weinberg
- National Institute of Environmental Health Sciences, POB 12233, Research Triangle, NC, USA
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6
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Tastula A, Jukkola A, Alakokkare AE, Nordström T, Eteläinen S, Karihtala P, Miettunen J. Early-Life Risk Factors for Breast Cancer - Prospective Follow-up in the Northern Finland Birth Cohort 1966. Cancer Epidemiol Biomarkers Prev 2021; 30:616-622. [PMID: 33563646 DOI: 10.1158/1055-9965.epi-20-1442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 12/15/2020] [Accepted: 02/01/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND While some risk factors for breast cancer have been confirmed, less is known about the role of early biological and social risk factors for breast cancer in adult life. METHODS In a prospective follow-up in the Northern Finland Birth Cohort 1966 consisting of 5,308 women, 120 breast cancers were reported via national registers by the end of 2018. Early risk factors were examined with univariate and multivariate analyses using Cox regression analysis. The main results are reported with HRs and their 95% confidence intervals (CI). RESULTS In the multivariate-adjusted models, women whose mothers lived in urban areas (HR, 1.68; 95% CI, 1.13-2.51) during pregnancy, were low educated (HR, 2.40; 95% CI, 1.30-4.45), and had been diagnosed with breast cancer (HR, 1.97; 95% CI, 1.09-3.58) had a higher risk for breast cancer in adult life. Lower BMI at the age of 14 associated nonsignificantly with the risk of breast cancer (Mann-Whitney U test, P = 0.087). No association between birth size and breast cancer risk in adult life was found. CONCLUSIONS Early-life residence and socioeconomic conditions may have an impact on developing breast cancer in women in adult life. All breast cancer cases of this study were relatively young, and most of them are assumed to be premenopausal. IMPACT This study is one of a few prospective birth cohort studies to examine early-life socioeconomic factors and breast cancer risk in adult life. This study is limited due to small number of cases.
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Affiliation(s)
- Anniina Tastula
- Center for Life Course Health Research, University of Oulu, Oulu, Finland. .,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Arja Jukkola
- Department of Oncology of Medicine and Radiotherapy, Tampere University Hospital, Tampere, Finland.,Tampere Cancer Center, Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Anni-Emilia Alakokkare
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Tanja Nordström
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.,Infrastructure for Population Studies, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Sanna Eteläinen
- Department of Obstetrics and Gynaecology, Oulu University Hospital, Oulu, Finland.,PEDEGO Research Unit, University of Oulu, Oulu, Finland
| | - Peeter Karihtala
- Helsinki University Hospital Comprehensive Cancer Center and University of Helsinki, Helsinki, Finland
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland.,Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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7
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Levine AM, Gerstle DB. Female breast cancer mortality in relation to puberty on Staten Island, New York. AIMS Public Health 2020; 7:344-353. [PMID: 32617361 PMCID: PMC7327401 DOI: 10.3934/publichealth.2020029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/04/2020] [Indexed: 11/18/2022] Open
Abstract
Pursuant to a Congressional act in 2008, the Department of Health and Human Services established the Interagency Breast Cancer and Environmental Research Coordinating Committee to address the burden of breast cancer in the United States. Subsequently, the Committee recommended researchers study the timing of exposure to breast cancer risk factors. Given the high breast cancer mortality rate on Staten Island, this paper presents a case-control study investigating breast cancer risk associated with puberty while living on Staten Island. The dataset combined New York City Department of Health and Mental Hygiene female death certificate information between 1985 and 2006, with life history information from newspaper obituaries. Data analyzed included: age, length of residence on Staten Island, birth on Staten Island, and residence on Staten Island during puberty. Cases were individuals who died of breast cancer and controls were individuals who died of non-malignant causes. Analysis included multivariate logistic regression on the full dataset and multiple replicates of randomized one case to two controls simulations. Results indicated that living on Staten Island during puberty (ages 9-19) was associated with an elevated risk of dying from breast cancer (odds ratio 1.35, p < 0.001, 95% CI = 1.18, 1.55). This paper suggests the importance of studying puberty as a window of susceptibility for breast cancer risk.
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Affiliation(s)
- Alfred M Levine
- Center for Environmental Science, College of Staten Island, Staten Island, New York, USA.,Engineering and Environmental Science, College of Staten Island, Staten Island, New York, USA
| | - Donna B Gerstle
- Center for Environmental Science, College of Staten Island, Staten Island, New York, USA
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8
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Luo J, Chen X, Manson JE, Shadyab AH, Wactawski-Wende J, Vitolins M, Rohan TE, Cheng TYD, Zhang Z, Qi L, Hendryx M. Birth weight, weight over the adult life course and risk of breast cancer. Int J Cancer 2020; 147:65-75. [PMID: 31584193 DOI: 10.1002/ijc.32710] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 08/21/2019] [Accepted: 09/11/2019] [Indexed: 12/22/2022]
Abstract
Breast cancer has been suggested to potentially have prenatal origins. We examined associations between birth weight, body mass index (BMI) at four-time points over 25 years of adulthood, and risk of postmenopausal breast cancer, with emphasis on whether the association between birth weight and risk of breast cancer was mediated by weight and height changes over the adult life course. Postmenopausal women (n = 70,397) aged 50-79 years without breast cancer at enrollment (1993-1998) were followed up to 25 years. Weight and height were measured at baseline. Birth weight, and weights at ages 18, 35 and 50 were self-reported. Breast cancer cases were centrally adjudicated. Compared to women with birth weight of 6-8 pounds, women with birth weight of <6 pounds had lower risk of breast cancer (HR = 0.88 95% CI: 0.79-0.99). 44% and 21% of the relationship between birth weight and breast cancer risk was mediated by adult height and weight at baseline, respectively. Birth weight of 8 pounds or more was not associated with risk of postmenopausal breast cancer. Weight gain in adulthood was associated with increased risk of breast cancer regardless of time periods. In conclusion, lower birthweight was associated with lower risk of postmenopausal breast cancer, and this reduction in risk was significantly mediated by childhood or adolescent growth, especially by adult height. Our data suggest that reaching and maintaining a healthy weight during adulthood is key in the prevention of breast cancer.
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Affiliation(s)
- Juhua Luo
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN
| | - Xiwei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN
| | - JoAnn E Manson
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Aladdin H Shadyab
- Department of Family Medicine and Public Health, San Diego School of Medicine, University of California, La Jolla, CA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, Buffalo, NY
| | - Mara Vitolins
- Department of Epidemiology and Prevention, Walk Forest School of Medicine, Winston-Salem, NC
| | - Thomas E Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Ting-Yuan D Cheng
- Department of Epidemiology, College of Public Health & Health Professions, University of Florida, Gainesville, FL
| | - Zhenzhen Zhang
- Division of Hematology and Medical Oncology, Oregon Health and Science University, Portland, OR
| | - Lihong Qi
- Department of Public Health Science, School of Medicine, University of California, Davis, CA
| | - Michael Hendryx
- Department of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN
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9
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Lope V, Castelló A, Mena-Bravo A, Amiano P, Aragonés N, Fernández-Villa T, Guevara M, Dierssen-Sotos T, Fernandez-Tardón G, Castaño-Vinyals G, Marcos-Gragera R, Moreno V, Salas-Trejo D, Diaz-Santos M, Oribe M, Romieu I, Kogevinas M, Priego-Capote F, Pérez-Gómez B, Pollán M. Serum 25-hydroxyvitamin D and breast cancer risk by pathological subtype (MCC-Spain). J Steroid Biochem Mol Biol 2018; 182:4-13. [PMID: 29679754 DOI: 10.1016/j.jsbmb.2018.04.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 04/13/2018] [Indexed: 12/14/2022]
Abstract
Epidemiologic evidence on the association between vitamin D and breast cancer is still inconclusive. This study analyzes the association between serum 25-hydroxyvitamin D (25(OH)D) and breast cancer risk by pathologic subtype, stage at diagnosis and specific breast cancer risk factors. We conducted a population-based multicase-control study where 546 histologically-confirmed breast cancer cases and 558 population controls, frequently matched by geographic area, age and body mass index, were recruited in 12 Spanish provinces (MCC-Spain). Information was collected by a questionnaire and plasma 25(OH)D was measured by solid-phase extraction on-line coupled to liquid chromatography-tandem mass spectrometry (SPE-LC-MS/MS). Odds ratios and 95% confidence intervals were calculated using logistic and multinomial mixed regression models. We found a clear protective effect between 25(OH)D levels and breast cancer risk, with a significant dose-response trend (OR per 10 nmol/L = 0.88; 95%CI = 0.82-0.94). While no differences were observed between pre and postmenopausal women, stage at diagnosis, or across strata of the main breast cancer risk factors, the protection was more pronounced for triple negative tumors (OR per 10 nmol/L = 0.64; p-heterogeneity = 0.038). Similar results were observed when only cases sampled in the first month after diagnosis were considered. The protective effect of vitamin D on breast cancer risk may be subtype specific, being stronger for more aggressive tumors, which provides a new approach to prevent this disease.
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Affiliation(s)
- Virginia Lope
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain
| | - Adela Castelló
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain
| | - Antonio Mena-Bravo
- Department of Analytical Chemistry, University of Córdoba, Spain; Maimónides Institute of Biomedical Research (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Spain
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; Public Health Division of Gipuzkoa, BioDonostia Research institute, San Sebastian, Spain
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; Epidemiology Section, Public Health Division, Department of Health of Madrid, Spain
| | - Tania Fernández-Villa
- Área de Medicina Preventiva y Salud Pública, Departamento de Ciencias Biomédicas, Universidad de León, León, Spain; Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS), Universidad de León, León, Spain
| | - Marcela Guevara
- Early Detection Section, Public Health Institute of Navarra, Pamplona, Spain
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; University of Cantabria - IDIVAL, Santander, Spain
| | | | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Rafael Marcos-Gragera
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), Girona, Spain
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, L'Hospitalet del Llobregat, Spain; Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO), IDIBELL, L'Hospitalet de Llobregat, Spain
| | - Dolores Salas-Trejo
- Valencia Breast Cancer Screening Program, General Directorate Public Health, Valencia, Spain
| | - Marian Diaz-Santos
- Universidad de Huelva, Huelva, Spain; Centro de Investigación en Salud y Medio Ambiente (CYSMA), Huelva, Spain
| | - Madalen Oribe
- Public Health Division of Gipuzkoa, BioDonostia Research institute, San Sebastian, Spain
| | - Isabel Romieu
- Center for Research on Population Health, National Institute of Public Health, Mexico; Hubert Department of Global Health, Emory University, Atlanta, GA, USA
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Feliciano Priego-Capote
- Department of Analytical Chemistry, University of Córdoba, Spain; Maimónides Institute of Biomedical Research (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Spain
| | - Beatriz Pérez-Gómez
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain
| | - Marina Pollán
- National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health, CIBERESP, Madrid, Spain.
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10
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John EM, Hines LM, Phipps AI, Koo J, Longacre TA, Ingles SA, Baumgartner KB, Slattery ML, Wu AH. Reproductive history, breast-feeding and risk of triple negative breast cancer: The Breast Cancer Etiology in Minorities (BEM) study. Int J Cancer 2018; 142:2273-2285. [PMID: 29330856 PMCID: PMC5893409 DOI: 10.1002/ijc.31258] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 12/28/2017] [Accepted: 01/02/2018] [Indexed: 02/03/2023]
Abstract
Few risk factors have been identified for triple negative breast cancer (TNBC) which lacks expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2). This more aggressive subtype disproportionately affects some racial/ethnic minorities and is associated with lower survival. We pooled data from three population-based studies (558 TNBC and 5,111 controls) and examined associations of TNBC risk with reproductive history and breast-feeding. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression. For younger women, aged <50 years, TNBC risk was increased two-fold for parous women who never breast-fed compared to nulliparous women (OR = 2.02, 95% CI = 1.12-3.63). For younger parous women, longer duration of lifetime breast-feeding was associated with a borderline reduced risk (≥24 vs. 0 months: OR = 0.52, 95% CI = 0.26-1.04, Ptrend = 0.06). Considering the joint effect of parity and breast-feeding, risk was increased two-fold for women with ≥3 full-term pregnancies (FTPs) and no or short-term (<12 months) breast-feeding compared to women with 1-2 FTPs and breast-feeding ≥12 months (OR = 2.56, 95% CI = 1.22-5.35). None of these associations were observed among older women (≥50 years). Differences in reproductive patterns possibly contribute to the ethnic differences in TNBC incidence. Among controls aged <50 years, the prevalence of no or short-term breast-feeding and ≥3 FTPs was highest for Hispanics (22%), followed by African Americans (18%), Asian Americans (15%) and non-Hispanic whites (6%). Breast-feeding is a modifiable behavioral factor that may lower TNBC risk and mitigate the effect of FTPs in women under age 50 years.
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Affiliation(s)
- Esther M. John
- Cancer Prevention Institute of California, Fremont, CA 94538
- Department of Health Research and Policy (Epidemiology) and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305
| | - Lisa M. Hines
- University of Colorado at Colorado Springs, Department of Biology, Colorado Springs, CO 80918
| | - Amanda I. Phipps
- Department of Epidemiology, University of Washington, Seattle, WA 98195
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109
| | - Jocelyn Koo
- Cancer Prevention Institute of California, Fremont, CA 94538
| | - Teri A. Longacre
- Department of Pathology and Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305
| | - Sue A. Ingles
- Department of Preventive Medicine, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089
| | - Kathy B. Baumgartner
- Department of Epidemiology and Population Health, School of Public Health & Information Sciences, James Graham Brown Cancer Center, University of Louisville, Louisville, KY 40202
| | | | - Anna H. Wu
- Department of Preventive Medicine, Keck School of Medicine of USC, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90089
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11
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The association of early life socioeconomic position on breast cancer incidence and mortality: a systematic review. Int J Public Health 2017; 63:787-797. [PMID: 29197969 DOI: 10.1007/s00038-017-1060-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Accepted: 11/21/2017] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVES We conducted a systematic review of the literature relating early life socioeconomic position (SEP) to breast cancer incidence and mortality from a critical period and life-course trajectory perspective. METHODS PubMed, EMBASE and Web of Science were searched to identify cohort studies that evaluated the impact of early life SEP indicators on the incidence and/or mortality from breast cancer in adulthood. RESULTS Nine distinct studies evaluated the relationship between early life SEP and breast cancer between 1990 and 2016. Five reports assessed breast cancer incidence and five assessed breast cancer mortality as outcomes; one study assessed both incidence and mortality. While lower early life SEP was associated with reduced breast cancer incidence and increased breast cancer mortality in the US, studies conducted in Europe were unable to establish a consistent association. CONCLUSIONS We found moderate support for the association between early life SEP and incidence and mortality from breast cancer. The impact of early life SEP on breast cancer incidence and mortality appeared to vary between countries. We urge further investigation of the role of lifelong SEP trajectories in breast cancer outcomes.
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12
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Castelló A, Boldo E, Pérez-Gómez B, Lope V, Altzibar JM, Martín V, Castaño-Vinyals G, Guevara M, Dierssen-Sotos T, Tardón A, Moreno V, Puig-Vives M, Llorens-Ivorra C, Alguacil J, Gómez-Acebo I, Castilla J, Gràcia-Lavedán E, Dávila-Batista V, Kogevinas M, Aragonés N, Amiano P, Pollán M. Adherence to the Western, Prudent and Mediterranean dietary patterns and breast cancer risk: MCC-Spain study. Maturitas 2017; 103:8-15. [PMID: 28778338 DOI: 10.1016/j.maturitas.2017.06.020] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 06/01/2017] [Accepted: 06/09/2017] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To externally validate the previously identified effect on breast cancer risk of the Western, Prudent and Mediterranean dietary patterns. STUDY DESIGN MCC-Spain is a multicase-control study that collected epidemiological information on 1181 incident cases of female breast cancer and 1682 healthy controls from 10 Spanish provinces. Three dietary patterns derived in another Spanish case-control study were analysed in the MCC-Spain study. These patterns were termed Western (high intakes of fatty and sugary products and red and processed meat), Prudent (high intakes of low-fat dairy products, vegetables, fruits, whole grains and juices) and Mediterranean (high intake of fish, vegetables, legumes, boiled potatoes, fruits, olives, and vegetable oil, and a low intake of juices). Their association with breast cancer was assessed using logistic regression models with random province-specific intercepts considering an interaction with menopausal status. Risk according to tumour subtypes - based on oestrogen (ER), progesterone (PR) and human epidermal growth factor 2 (HER2) receptors (ER+/PR+ & HER2-; HER2+; ER-/PR- & HER2-) - was evaluated with multinomial regression models. MAIN OUTCOME MEASURES Breast cancer and histological subtype. RESULTS Our results confirm most of the associations found in the previous case-control study. A high adherence to the Western dietary pattern seems to increase breast cancer risk in both premenopausal women (OR4thvs.1stquartile (95% CI):1.68 (1.02;2.79); OR1SD-increase (95% CI):1.19 (1.02;1.40)) and postmenopausal women (OR4thvs.1stquartile(95% CI):1.48(1.07;2.05); OR1SD-increase(95% CI): 1.14 (1.01;1.29)). While high adherence to the Prudent pattern did not show any effect on breast cancer, the Mediterranean dietary pattern seemed to be protective, but only among postmenopausal women (OR4thvs.1stquartile (95% CI): 0.72 (95% CI 0.53;0.98); p-int=0.075). There were no significant differences by tumour subtype. CONCLUSION Dietary recommendations based on a departure from the Western dietary pattern in favour of the Mediterranean diet could reduce breast cancer risk in the general population.
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Affiliation(s)
- Adela Castelló
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Elena Boldo
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Beatriz Pérez-Gómez
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Virginia Lope
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Jone M Altzibar
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Breast Cancer Screening Program, Osakidetza-Health Basque Region Service, Avenida Navarra, 4, 20013, San Sebastián, Spain.
| | - Vicente Martín
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071, León, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Marcela Guevara
- Early Detection Section, Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Instituto Universitario de Oncología, Universidad de Oviedo, Facultad de Medicina, Planta 7, Campus de El Cristo B, 33006, Oviedo, Spain.
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; IDIBELL-Catalan Institute of Oncology, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, L'Hospitalet del Llobregat, Spain.
| | - Montserrat Puig-Vives
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Girona Biomedical Research Institute (IdiBGi), Carrer del Sol 15, 17004 Girona, Spain.
| | - Cristóbal Llorens-Ivorra
- Centro de Salud Pública de Dénia, Consellería de Sanidad Universal y Salud Pública, Plaza Jaime I, 5, 03700, Denia, Spain; Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunidad Valenciana (FISABIO), Avda. Cataluña, 21, 46020, Valencia, Spain.
| | - Juan Alguacil
- Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain.
| | - Inés Gómez-Acebo
- Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Jesús Castilla
- Early Detection Section, Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain.
| | - Esther Gràcia-Lavedán
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Verónica Dávila-Batista
- Grupo de Investigación en Interacciones Gen-Ambiente y Salud, Universidad de León, Campus Vegazana, s/n, 24071, León, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain.
| | - Nuria Aragonés
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Public Health Department of Gipuzkoa, Government of the Basque Country, Avenida Navarra, 4, 20013, San Sebastian, Spain; Biodonostia Research Institute, Paseo Dr Beguiristain s/n, 20014, San Sebastian, Spain.
| | - Marina Pollán
- Cancer Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain; Cancer Epidemiology Research Group, Oncology and Hematology Area, IIS Puerta de Hierro (IDIPHIM), Manuel de Falla 1, 28222, Madrid, Spain.
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13
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Prichystalova R, Fini JB, Trasande L, Bellanger M, Demeneix B, Maxim L. Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan. Environ Health 2017; 16:55. [PMID: 28599657 PMCID: PMC5466740 DOI: 10.1186/s12940-017-0265-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 05/26/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Socioeconomic analysis is currently used in the Europe Union as part of the regulatory process in Regulation Registration, Evaluation and Authorisation of Chemicals (REACH), with the aim of assessing and managing risks from dangerous chemicals. The political impact of the socio-economic analysis is potentially high in the authorisation and restriction procedures, however, current socio-economic analysis dossiers submitted under REACH are very heterogeneous in terms of methodology used and quality. Furthermore, the economic literature is not very helpful for regulatory purposes, as most published calculations of health costs associated with chemical exposures use epidemiological studies as input data, but such studies are rarely available for most substances. The quasi-totality of the data used in the REACH dossiers comes from toxicological studies. METHODS This paper assesses the use of the integrated probabilistic risk assessment, based on toxicological data, for the calculation of health costs associated with endocrine disrupting effects of triclosan. The results are compared with those obtained using the population attributable fraction, based on epidemiological data. RESULTS The results based on the integrated probabilistic risk assessment indicated that 4894 men could have reproductive deficits based on the decreased vas deferens weights observed in rats, 0 cases of changed T3 levels, and 0 cases of girls with early pubertal development. The results obtained with the Population Attributable Fraction method showed 7,199,228 cases of obesity per year, 281,923 girls per year with early pubertal development and 88,957 to 303,759 cases per year with increased total T3 hormone levels. The economic costs associated with increased BMI due to TCS exposure could be calculated. Direct health costs were estimated at €5.8 billion per year. CONCLUSIONS The two methods give very different results for the same effects. The choice of a toxicological-based or an epidemiological-based method in the socio-economic analysis will therefore significantly impact the estimated health costs and consequently the political risk management decision. Additional work should be done for understanding the reasons of these significant differences.
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Affiliation(s)
- Radka Prichystalova
- Institut des Sciences de la Communication (UMS 3665), CNRS (Centre National de la Recherche Scientifique)/Université Paris Sorbonne/UPMC (Université Pierre et Marie Curie), 20 rue Berbier du Mets, 75013 Paris, France
| | - Jean-Baptiste Fini
- Sorbonne Universités, CNRS UMR 7221, RDDM, Muséum d’Histoire Naturelle, F-75005 Paris, France
| | - Leonardo Trasande
- Department of Pediatrics, NYU School of Medicine, 403 E 34th St, New York, NY 10016 USA
| | - Martine Bellanger
- School of Public Health, University Sorbonne Paris Cité, EA7348 MOS, Paris, France
| | - Barbara Demeneix
- Sorbonne Universités, CNRS UMR 7221, RDDM, Muséum d’Histoire Naturelle, F-75005 Paris, France
| | - Laura Maxim
- Institut des Sciences de la Communication (UMS 3665), CNRS (Centre National de la Recherche Scientifique)/Université Paris Sorbonne/UPMC (Université Pierre et Marie Curie), 20 rue Berbier du Mets, 75013 Paris, France
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14
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Stroup AM, Herget KA, Hanson HA, Reed DL, Butler JT, Henry KA, Harrell CJ, Sweeney C, Smith KR. Baby Boomers and Birth Certificates: Early-Life Socioeconomic Status and Cancer Risk in Adulthood. Cancer Epidemiol Biomarkers Prev 2016; 26:75-84. [PMID: 27655898 DOI: 10.1158/1055-9965.epi-16-0371] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 09/09/2016] [Accepted: 09/12/2016] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Early-life socioeconomic status (SES) may play a role in cancer risk in adulthood. However, measuring SES retrospectively presents challenges. Parental occupation on the birth certificate is a novel method of ascertaining early-life SES that has not been applied in cancer epidemiology. METHODS For a Baby-Boom cohort born from 1945-1959 in two Utah counties, individual-level Nam-Powers SES (Np-SES) was derived from parental industry/occupation reported on birth certificates. Neighborhood SES was estimated from average household income of census tract at birth. Cancer incidence was determined by linkage to Utah Cancer Registry records through the Utah Population Database. Hazard ratios (HR) for cancer risk by SES quartile were estimated using Cox proportional hazards regression. RESULTS Females with low Np-SES at birth had lower risk of breast cancer compared with those in the highest Np-SES group [HRQ1/Q4 = 0.83; 95% confidence interval (CI), 0.72-0.97; HRQ2/Q4 = 0.81; 95% CI, 0.69-0.96]. Np-SES was inversely associated with melanoma (HRQ1/Q4 = 0.81; 95% CI, 0.67-0.98) and prostate cancer (HRQ1/Q4 = 0.70; 95% CI, 0.56-0.88). Women born into lower SES neighborhoods had significantly increased risk for invasive cervical cancer (HRQ1/Q4 = 1.44; 95% CI, 1.12-1.85; HRQ2/Q4 = 1.33; 95% CI, 1.04-1.72). Neighborhood SES had similar effects for melanoma and prostate cancers, but was not associated with female breast cancer. We found no association with SES for pancreas, lung, and colon and rectal cancers. CONCLUSIONS Individual SES derived from parental occupation at birth was associated with altered risk for several cancer sites. IMPACT This novel methodology can contribute to improved understanding of the role of early-life SES on cancer risk. Cancer Epidemiol Biomarkers Prev; 26(1); 75-84. ©2016 AACR.
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Affiliation(s)
- Antoinette M Stroup
- Utah Cancer Registry, University of Utah, Salt Lake City, Utah. .,Rutgers School of Public Health, Piscataway, New Jersey.,Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | | | - Heidi A Hanson
- Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah
| | - Diana Lane Reed
- Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Jared T Butler
- Department of Geography, University of Utah, Salt Lake City, Utah
| | - Kevin A Henry
- Department of Geography, University of Utah, Salt Lake City, Utah.,Department of Geography and Urban Studies, Temple University, Philadelphia, Pennsylvania.,Fox Chase Cancer Center, Temple University Health System, Philadelphia, Pennsylvania
| | - C Janna Harrell
- Utah Cancer Registry, University of Utah, Salt Lake City, Utah
| | - Carol Sweeney
- Utah Cancer Registry, University of Utah, Salt Lake City, Utah.,Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Ken R Smith
- Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.,Department of Family and Consumer Studies, University of Utah, Salt Lake City, Utah
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15
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Lope V, García-Esquinas E, Ruiz-Dominguez JM, LLorca J, Jiménez-Moleón JJ, Ruiz-Cerdá JL, Alguacil J, Tardón A, Dierssen-Sotos T, Tabernero Á, Mengual L, Kogevinas M, Aragonés N, Castaño-Vinyals G, Pollán M, Pérez-Gómez B. Perinatal and childhood factors and risk of prostate cancer in adulthood: MCC-Spain case-control study. Cancer Epidemiol 2016; 43:49-55. [DOI: 10.1016/j.canep.2016.06.012] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 06/22/2016] [Accepted: 06/27/2016] [Indexed: 10/21/2022]
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