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Inverse Association Between Dietary Iron Intake and Gastric Cancer: A Pooled Analysis of Case‐Control Studies of the Stop Consortium Publisher



Collatuzzo G1 ; Teglia F1 ; Pelucchi C2 ; Negri E1, 2 ; Rabkin CS3 ; Liao LM3 ; Sinha R3 ; Lopezcarrillo L4 ; Lunet N5, 6, 7 ; Morais S5, 6, 7 ; Aragones N8, 9 ; Moreno V10, 11, 12 ; Vioque J8, 13 ; De La Hera MG8 Show All Authors
Authors
  1. Collatuzzo G1
  2. Teglia F1
  3. Pelucchi C2
  4. Negri E1, 2
  5. Rabkin CS3
  6. Liao LM3
  7. Sinha R3
  8. Lopezcarrillo L4
  9. Lunet N5, 6, 7
  10. Morais S5, 6, 7
  11. Aragones N8, 9
  12. Moreno V10, 11, 12
  13. Vioque J8, 13
  14. De La Hera MG8
  15. Ward MH3
  16. Malekzadeh R14
  17. Pakseresht M14, 15, 16
  18. Hernandezramirez RU17
  19. Lopezcervantes M18
  20. Bonzi R2
  21. Dalmartello M2
  22. Tsugane S19, 20
  23. Hidaka A19
  24. Camargo MC3
  25. Curado MP21
  26. Zhang ZF22
  27. Zubair N23
  28. Vecchia CL2
  29. Shah S24
  30. Boffetta P1, 25
Show Affiliations
Authors Affiliations
  1. 1. Department of Medical and Surgical Sciences, University of Bologna, Bologna, 40138, Italy
  2. 2. Branch of Medical Statistics, Biometry, and Epidemiology “G. A. Maccacaro�, Department of Clinical Sciences and Community Health, University of Milan, Milan, 20133, Italy
  3. 3. Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, 20892, MD, United States
  4. 4. Mexico National Institute of Public Health, Cuernavaca, 62100, Mexico
  5. 5. EPIUnit—Instituto de Saude Publica, Universidade do Porto, Porto, 4050�600, Portugal
  6. 6. Laboratorio para a Investigacao Integrativa e Translacional em Saude Populacional (ITR), Porto, 4050�600, Portugal
  7. 7. Departamento de Ciencias da Saude Publica e Forenses e Educacao Medica, Faculdade de Medicina da Universidade do Porto, Porto, 4200�319, Portugal
  8. 8. Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, 28029, Spain
  9. 9. Cancer Epidemiology Section, Public Health Division, Department of Health of Madrid, Madrid, 28035, Spain
  10. 10. Oncology Data Analytics Program, Unit of Biomarkers and Susceptibility, Catalan Institute of Oncology (ICO), Hospital Duran I Reynals, Barcelona, 08907, Spain
  11. 11. Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, 08907, Spain
  12. 12. Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, 08907, Spain
  13. 13. Instituto de Investigacion Sanitaria y Biomedica de Alicante, ISABIAL�UMH, Alicante, 46020, Spain
  14. 14. Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, P.O. Box 1411713135, Tehran, Iran
  15. 15. Department of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, T6G 2R3, AB, Canada
  16. 16. Nutritional Epidemiology Group, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, LS2 9JT, United Kingdom
  17. 17. Department of Biostatistics, Yale School of Public Health, New Haven, 06520, CT, United States
  18. 18. Facultad de Medicina, National Autonomous University of Mexico (UNAM), Coyoacan, 04510, Mexico
  19. 19. Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, 104�0045, Japan
  20. 20. National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162�8636, Japan
  21. 21. Centro Internacional de Pesquisa, A. C. Camargo Cancer Center, Sao Paulo, 01508�010, Brazil
  22. 22. Department of Epidemiology, UCLA Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, 90095, CA, United States
  23. 23. Icahn School of Medicine at Mount Sinai, New York, 10003, NY, United States
  24. 24. Department of Medicine, University of California San Diego, San Diego, 92093, CA, United States
  25. 25. Stony Brook Cancer Center, Stony Brook University, Stony Brook, 11794, NY, United States

Source: Nutrients Published:2022


Abstract

Background: Inconsistent findings have been reported regarding the relationship between dietary iron intake and the risk of gastric cancer (GC). Methods: We pooled data from 11 case‐control studies from the Stomach Cancer Pooling (StoP) Project. Total dietary iron intake was derived from food frequency questionnaires combined with national nutritional tables. We derived the odds ratios (ORs) and 95% confidence intervals (CIs) for quartiles of dietary iron through multivariable unconditional logistic regression models. Secondary analyses stratified by sex, smoking status, caloric intake, anatomical subsite and histological type were performed. Results: Among 4658 cases and 12247 controls, dietary iron intake was inversely associated with GC (per quartile OR 0.88; 95% CI: 0.83–0.93). Results were similar between cardia (OR = 0.85, 95% CI = 0.77–0.94) and non‐cardia GC (OR = 0.87, 95% CI = 0.81–0.94), and for diffuse (OR = 0.79, 95% CI = 0.69–0.89) and intestinal type (OR = 0.88, 95% CI = 0.79–0.98). Iron intake exerted an independent effect from that of smoking and salt intake. Additional adjustment by meat and fruit/vegetable intake did not alter the results. Conclusions: Dietary iron is inversely related to GC, with no difference by subsite or histological type. While the results should be interpreted with caution, they provide evidence against a direct effect of iron in gastric carcinogenesis. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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