Raul Zamora-Ros1, Jazmín Castañeda2, Sabina Rinaldi3, Valerie Cayssials2, Nadia Slimani3, Elisabete Weiderpass4,5,6,7, Konstantinos K Tsilidis8,9, Marie-Christine Boutron-Ruault10,11, Kim Overvad12, Anne K Eriksen13, Anne Tjønneland13, Tilman Kühn14, Verena Katzke14, Heiner Boeing15, Antonia Trichopoulou16,17, Carlo La Vecchia16,18, Anastasia Kotanidou16,19, Domenico Palli20, Sara Grioni21, Amalia Mattiello22, Rosario Tumino23, Veronica Sciannameo24, Eiliv Lund4, Susana Merino25, Elena Salamanca-Fernández26,27, Pilar Amiano27,28, José María Huerta27,29, Aurelio Barricarte27,30,31, Ulrika Ericson32, Martin Almquist33,34, Joakim Hennings35, Maria Sandström36, H Bas Bueno-de-Mesquita9,37,38, Petra H Peeters9,39, Kay-Tee Khaw40, Nicholas J Wareham41, Julie A Schmidt42, Amanda J Cross9, Elio Riboli9, Augustin Scalbert3, Isabelle Romieu3, Antonio Agudo2, Silvia Franceschi3. 1. Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; rzamora@iconcologia.net. 2. Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain. 3. International Agency for Research on Cancer, Lyon, France. 4. Department of Community Medicine, Faculty of Health Sciences, UiT, The Artic University of Tromsø, Tromsø, Norway. 5. Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway. 6. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 7. Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland. 8. Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. 9. School of Public Health, Imperial College London, London, United Kingdom. 10. Université Paris-Saclay, Université Paris-Sud, University of Versailles Saint-Quentin-en-Yvelines (UVSQ), Center for Research in Epidemiology and Population Health (CESP), National Institute of Health and Medical Research (INSERM), Villejuif, France. 11. Institut Gustave Roussy, Villejuif, France. 12. Department of Public Health, Section of Epidemiology, Aarhus University, Aarhus, Denmark. 13. Danish Cancer Society Research Center, Copenhagen, Denmark. 14. Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany. 15. Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany. 16. Hellenic Health Foundation, Athens, Greece. 17. WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece. 18. Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy. 19. First Department of Critical Care Medicine and Pulmonary Services, University of Athens Medical School, Evangelismos Hospital, Athens, Greece. 20. Cancer Risk Factors and Lifestyle Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy. 21. Nutritional Epidemiology Unit, IRCCS Foundation National Institute of Tumors, Milan, Italy. 22. Department of Clinical and Experimental Medicine, Federico II University, Naples, Italy. 23. Cancer Registry and Histopathology Unit, "Civic MP Arezzo" Hospital, ASP Ragusa, Italy. 24. Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco (TO), Turin, Italy. 25. Public Health Directorate, Asturias, Spain. 26. Andalusian School of Public Health, Instituto de Investigación Biosanitaria ibs. Granada, University Hospitals of Granada/University of Granada, Granada, Spain. 27. Biomedical Research Center Network for Epidemiology and Public Health (CIBERESP), Madrid, Spain. 28. Public Health Division of Gipuzkoa, Regional Government of the Basque Country, Bilbao, Spain. 29. Department of Epidemiology, Murcia Regional Health Council, Murciano Institute for Biosanitary Research (IMIB)-Arrixaca, Murcia, Spain. 30. Navarra Public Health Institute, Pamplona, Spain. 31. Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. 32. Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden. 33. Department of Surgery, University Hospital Lund, Lund, Sweden. 34. Malmö Diet and Cancer Study, University Hospital Malmö, Malmö, Sweden; Departments of. 35. Surgical and Perioperative Sciences and. 36. Radiation Sciences, Umeå University, Umeå, Sweden. 37. Department of Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands. 38. Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. 39. Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands. 40. Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom. 41. Medical Research Center Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom; and. 42. Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Abstract
Background: Differentiated thyroid cancer (TC) is the most common endocrine cancer. Fish can be an important source of iodine and other micronutrients and contaminants that may affect the thyroid gland and TC risk.Objective: We prospectively evaluated the relations between the consumption of total fish and different fish types and shellfish and TC risk in the EPIC (European Prospective Investigation into Cancer and Nutrition) study. Methods: EPIC is a cohort of >500,000 men and women, mostly aged 35-70 y, who were recruited in 10 European countries. After a mean follow-up of 14 y, 748 primary differentiated TC cases were diagnosed; 666 were in women and 601 were papillary TC. Data on intakes of lean fish, fatty fish, fish products, and shellfish were collected by using country-specific validated dietary questionnaires at recruitment. Multivariable Cox regression was used to calculate HRs and 95% CIs adjusted for many potential confounders, including dietary and nondietary factors. Results: No significant association was observed between total fish consumption and differentiated TC risk for the highest compared with the lowest quartile (HR: 1.03; 95% CI: 0.81, 1.32; P-trend = 0.67). Likewise, no significant association was observed with the intake of any specific type of fish, fish product, or shellfish. No significant heterogeneity was found by TC subtype (papillary or follicular tumors), by sex, or between countries with low and high TC incidence. Conclusion: This large study shows that the intake of fish and shellfish was not associated with differentiated TC risk in Europe, a region in which iodine deficiency or excess is rare.
Background: Differentiated thyroid cancer (TC) is the most common endocrine cancer. Fish can be an important source of iodine and other micronutrients and contaminants that may affect the thyroid gland and TC risk.Objective: We prospectively evaluated the relations between the consumption of total fish and different fish types and shellfish and TC risk in the EPIC (European Prospective Investigation into Cancer and Nutrition) study. Methods: EPIC is a cohort of >500,000 men and women, mostly aged 35-70 y, who were recruited in 10 European countries. After a mean follow-up of 14 y, 748 primary differentiated TC cases were diagnosed; 666 were in women and 601 were papillary TC. Data on intakes of lean fish, fatty fish, fish products, and shellfish were collected by using country-specific validated dietary questionnaires at recruitment. Multivariable Cox regression was used to calculate HRs and 95% CIs adjusted for many potential confounders, including dietary and nondietary factors. Results: No significant association was observed between total fish consumption and differentiated TC risk for the highest compared with the lowest quartile (HR: 1.03; 95% CI: 0.81, 1.32; P-trend = 0.67). Likewise, no significant association was observed with the intake of any specific type of fish, fish product, or shellfish. No significant heterogeneity was found by TC subtype (papillary or follicular tumors), by sex, or between countries with low and high TC incidence. Conclusion: This large study shows that the intake of fish and shellfish was not associated with differentiated TC risk in Europe, a region in which iodinedeficiency or excess is rare.
Authors: Raul Zamora-Ros; Muath A Alghamdi; Valerie Cayssials; Silvia Franceschi; Martin Almquist; Joakim Hennings; Maria Sandström; Konstantinos K Tsilidis; Elisabete Weiderpass; Marie-Christine Boutron-Ruault; Bodil Hammer Bech; Kim Overvad; Anne Tjønneland; Kristina E N Petersen; Francesca Romana Mancini; Yahya Mahamat-Saleh; Fabrice Bonnet; Tilman Kühn; Renée T Fortner; Heiner Boeing; Antonia Trichopoulou; Christina Bamia; Georgia Martimianaki; Giovanna Masala; Sara Grioni; Salvatore Panico; Rosario Tumino; Francesca Fasanelli; Guri Skeie; Tonje Braaten; Cristina Lasheras; Elena Salamanca-Fernández; Pilar Amiano; Maria-Dolores Chirlaque; Aurelio Barricarte; Jonas Manjer; Peter Wallström; H Bas Bueno-de-Mesquita; Petra H Peeters; Kay-Thee Khaw; Nicholas J Wareham; Julie A Schmidt; Dagfinn Aune; Graham Byrnes; Augustin Scalbert; Antonio Agudo; Sabina Rinaldi Journal: Eur J Nutr Date: 2018-12-10 Impact factor: 5.614
Authors: Elena Salamanca-Fernández; Miguel Rodriguez-Barranco; Yoe-Ling Chang-Chan; Daniel Redondo-Sánchez; Santiago Domínguez-López; Eloísa Bayo; Dariusz Narankiewicz; José Expósito; María José Sánchez Journal: Endocrine Date: 2018-07-24 Impact factor: 3.633
Authors: Immacolata Cristina Nettore; Annamaria Colao; Paolo Emidio Macchia Journal: Int J Environ Res Public Health Date: 2018-08-13 Impact factor: 3.390