Adela Castelló1,2,3, Pilar Amiano4,5,6, Nerea Fernández de Larrea7,4, Vicente Martín8, Maria Henar Alonso9,10, Gemma Castaño-Vinyals4,11,12,13, Beatriz Pérez-Gómez7,4, Rocío Olmedo-Requena4,14,15, Marcela Guevara4,16, Guillermo Fernandez-Tardon4,17, Trinidad Dierssen-Sotos18, Cristobal Llorens-Ivorra19, Jose María Huerta4,20, Rocío Capelo21, Tania Fernández-Villa8, Anna Díez-Villanueva9, Carmen Urtiaga6, Jesús Castilla4,16, Jose Juan Jiménez-Moleón4,14,15, Víctor Moreno9,10, Verónica Dávila-Batista8, Manolis Kogevinas4,11,12,13, Nuria Aragonés7,4, Marina Pollán7,4. 1. Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain. acastello@isciii.es. 2. Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain. acastello@isciii.es. 3. Faculty of Medicine, University of Alcalá, Campus Universitario-C/ 19, Av. de Madrid, Km 33,600, 28871, Alcalá de Henares, Madrid, Spain. acastello@isciii.es. 4. Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain. 5. Public Health Department of Gipuzkoa, Government of the Basque Country, Avenida Navarra, 4, 20013, San Sebastián, Spain. 6. Biodonostia Research Institute, Paseo Dr Beguiristain s/n, 20014, San Sebastián, Spain. 7. Cancer Epidemiology Unit, National Center for Epidemiology, Carlos III Institute of Health, Avenida Monforte de Lemos 5, 28029, Madrid, Spain. 8. The Research Group in Gene-Environment and Health Interactions, Vegazana Campus, University of León, Campus Vegazana, s/n, 24071, León, Spain. 9. Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, Catalan Institute of Oncology (ICO) and IDIBELL, Gran Via km 2.7, 08907, L'Hospitalet de Llobregat, Spain. 10. Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Campus de Bellvitge, Pavelló de Govern, Feixa Llarga s/n, 08907, L'Hospitalet de Llobregat, Spain. 11. ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain. 12. Universitat Pompeu Fabra (UPF), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain. 13. IMIM (Hospital del Mar Medical Research Institute), Carrer del Doctor Aiguader 88, 08003, Barcelona, Spain. 14. Department of Preventive Medicine and Public Health, University of Granada, Av, de la Investigación, 11, 18016, Granada, Spain. 15. Instituto de Investigación Biosanitaria ibs.GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Edificio Licinio de la Fuente, Calle Dr. Azpitarte, 4, 18012, Granada, Spain. 16. Public Health Institute of Navarra, Calle Leyre 15, 31003, Pamplona, Spain. 17. IUOPA, University of Oviedo, Facultad de Medicina, Planta 7, Campus de El Cristo B, 33006, Oviedo, Spain. 18. Universidad de Cantabria, IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011, Santander, Spain. 19. Centro de Salud Pública de Dénia, Consellería de Sanidad Universal y Salud Pública, Plaza Jaime I, 5, 03700, Denia, Spain. 20. Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, C/ Luis Fontes Pagán nº 9-1ª planta, C.P.-30003, Murcia, Spain. 21. Centro de Investigación en Salud y Medio Ambiente (CYSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain.
Abstract
PURPOSE: To assess if the associations found between three previously identified dietary patterns with breast, prostate and gastric cancer are also observed for colorectal cancer (CRC). METHODS: MCC-Spain is a multicase-control study that collected information of 1629 incident cases of CRC and 3509 population-based controls from 11 Spanish provinces. Western, Prudent and Mediterranean data-driven dietary patterns-derived in another Spanish case-control study-were reconstructed in MCC-Spain. Their association with CRC was assessed using mixed multivariable logistic regression models considering a possible interaction with sex. Risk by tumor site (proximal colon, distal colon, and rectum) was evaluated using multinomial regression models. RESULTS: While no effect of the Prudent pattern on CRC risk was observed, a high adherence to the Western dietary pattern was associated with increased CRC risk for both males [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 1.45 (1.11;1.91)] and females [ORQ4 vs. Q1 (95% CI): 1.50 (1.07;2.09)] but seem to be confined to distal colon [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 2.02 (1.44;2.84)] and rectal [ORQ4 vs. Q1 (95% CI): 1.46 (1.05;2.01)] tumors. The protective effect of the Mediterranean dietary pattern against CRC was observed for both sexes [males: ORQ4 vs. Q1 (95% CI): 0.71 (0.55;0.92); females: ORQ4 vs. Q1 (95% CI): 0.56 (0.40;0.77)] and for all cancer sites: proximal colon [ORQ4 vs. Q1 (95% CI): 0.70 (0.51;0.97)], distal colon [ORQ4 vs. Q1 (95% CI): 0.65 (0.48;0.89)], and rectum (ORQ4 vs. Q1 (95% CI): 0.60 (0.45;0.81)]. CONCLUSION: Our results are consistent with most of the associations previously found between these patterns and breast, prostate and gastric cancer risk and indicate that consuming whole fruits, vegetables, legumes, olive oil, nuts, and fish and avoiding red and processed meat, refined grains, sweets, caloric drinks, juices, convenience food, and sauces might reduce CRC risk.
PURPOSE: To assess if the associations found between three previously identified dietary patterns with breast, prostate and gastric cancer are also observed for colorectal cancer (CRC). METHODS: MCC-Spain is a multicase-control study that collected information of 1629 incident cases of CRC and 3509 population-based controls from 11 Spanish provinces. Western, Prudent and Mediterranean data-driven dietary patterns-derived in another Spanish case-control study-were reconstructed in MCC-Spain. Their association with CRC was assessed using mixed multivariable logistic regression models considering a possible interaction with sex. Risk by tumor site (proximal colon, distal colon, and rectum) was evaluated using multinomial regression models. RESULTS: While no effect of the Prudent pattern on CRC risk was observed, a high adherence to the Western dietary pattern was associated with increased CRC risk for both males [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 1.45 (1.11;1.91)] and females [ORQ4 vs. Q1 (95% CI): 1.50 (1.07;2.09)] but seem to be confined to distal colon [ORfourth(Q4) vs. first(Q1)quartile (95% CI): 2.02 (1.44;2.84)] and rectal [ORQ4 vs. Q1 (95% CI): 1.46 (1.05;2.01)] tumors. The protective effect of the Mediterranean dietary pattern against CRC was observed for both sexes [males: ORQ4 vs. Q1 (95% CI): 0.71 (0.55;0.92); females: ORQ4 vs. Q1 (95% CI): 0.56 (0.40;0.77)] and for all cancer sites: proximal colon [ORQ4 vs. Q1 (95% CI): 0.70 (0.51;0.97)], distal colon [ORQ4 vs. Q1 (95% CI): 0.65 (0.48;0.89)], and rectum (ORQ4 vs. Q1 (95% CI): 0.60 (0.45;0.81)]. CONCLUSION: Our results are consistent with most of the associations previously found between these patterns and breast, prostate and gastric cancer risk and indicate that consuming whole fruits, vegetables, legumes, olive oil, nuts, and fish and avoiding red and processed meat, refined grains, sweets, caloric drinks, juices, convenience food, and sauces might reduce CRC risk.
Entities:
Keywords:
Colonic neoplasms; Diet; Diet, Mediterranean; Diet, Western; Dietary patterns; Prevention and control; Principal component analysis; Rectal neoplasms
Authors: Lorne J Hofseth; James R Hebert; Anindya Chanda; Hexin Chen; Bryan L Love; Maria M Pena; E Angela Murphy; Mathew Sajish; Amit Sheth; Phillip J Buckhaults; Franklin G Berger Journal: Nat Rev Gastroenterol Hepatol Date: 2020-02-21 Impact factor: 46.802