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Dietary Constituents: Relationship with Breast Cancer Prognostic (MCC-SPAIN Follow-Up)

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  • Trinidad Dierssen-Sotos

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    IDIVAL Santander, 39011 Santander, Spain
    Faculty of Medicine, University of Cantabria, 39011 Santander, Spain)

  • Inés Gómez-Acebo

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    IDIVAL Santander, 39011 Santander, Spain
    Faculty of Medicine, University of Cantabria, 39011 Santander, Spain)

  • Nuria Gutiérrez-Ruiz

    (Faculty of Medicine, University of Cantabria, 39011 Santander, Spain)

  • Nuria Aragonés

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Epidemiology Section, Public Health Division, Department of Health of Madrid, 28009 Madrid, Spain)

  • Pilar Amiano

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Public Health Division of Gipuzkoa, Health Department, BioDonostia Research Institute, 20014 San Sebastian, Spain)

  • Antonio José Molina de la Torre

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Grupo de Investigación en Interacciones Gen-Ambiente y Salud (GIIGAS), Instituto de Biomedicina (IBIOMED), Universidad de León, 24071 León, Spain)

  • Marcela Guevara

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Navarra Public Health Institute, 31003 Pamplona, Spain
    IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain)

  • Jessica Alonso-Molero

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Faculty of Medicine, University of Cantabria, 39011 Santander, Spain)

  • Mireia Obon-Santacana

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, 08908 Barcelona, Spain
    Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, 08908 Barcelona, Spain)

  • Guillermo Fernández-Tardón

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Health Research Institute of the Principality of Asturias, Oncology Institute, University of Oviedo, 33006 Oviedo, Spain)

  • Ana Molina-Barceló

    (Cancer and Public Health Area, FISABIO—Public Health, 46020 Valencia, Spain)

  • Juan Alguacil

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, 21007 Huelva, Spain)

  • Rafael Marcos-Gragera

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Research Group on Statistics, Econometrics and Health (GRECS), Universitat de Girona, 17071 Girona, Spain
    Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, 17007 Girona, Spain)

  • Paz Rodríguez-Cundín

    (IDIVAL Santander, 39011 Santander, Spain
    Preventive Medicine, Hospital Universitario Marqués de Valdecilla, 39011 Santander, Spain)

  • Gemma Castaño-Vinyals

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    ISGlobal, 08036 Barcelona, Spain
    Department of Public Health, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
    IMIM (Hospital Del Mar Medical Research Institute), 08003 Barcelona, Spain)

  • Rosario Canseco Fernandez

    (Servicio de Cirugía General y del Aparato Digestivo, Complejo Asistencial Universitario de León, 24001 León, Spain)

  • Jesús Castilla

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Navarra Public Health Institute, 31003 Pamplona, Spain
    IdiSNA, Navarra Institute for Health Research, 31008 Pamplona, Spain)

  • Amaia Molinuevo

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Public Health Division of Gipuzkoa, Health Department, BioDonostia Research Institute, 20014 San Sebastian, Spain)

  • Beatriz Pérez-Gómez

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, 28029 Madrid, Spain)

  • Manolis Kogevinas

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    ISGlobal, 08036 Barcelona, Spain
    Department of Public Health, Universitat Pompeu Fabra (UPF), 08002 Barcelona, Spain
    IMIM (Hospital Del Mar Medical Research Institute), 08003 Barcelona, Spain)

  • Marina Pollán

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    Cancer and Environmental Epidemiology Unit, National Centre for Epidemiology, Carlos III Institute of Health, 28029 Madrid, Spain)

  • Javier Llorca

    (Consortium for Biomedical Research in Epidemiology and Public Health (CIBER de Epidemiología Y Salud Pública-CIBERESP), 28029 Madrid, Spain
    IDIVAL Santander, 39011 Santander, Spain
    Faculty of Medicine, University of Cantabria, 39011 Santander, Spain)

Abstract

The aim of this study was to characterize the relationship between the intake of the major nutrients and prognosis in breast cancer. A cohort based on 1350 women with invasive (stage I-IV) breast cancer (BC) was followed up. Information about their dietary habits before diagnosis was collected using a semi-quantitative Food Frequency Questionnaire. Participants without FFQ or with implausible energy intake were excluded. The total amount consumed of each nutrient (Kcal/day) was divided into tertiles, considering as “high intakes” those above third tertile. The main effect studied was overall survival. Cox regression was used to assess the association between death and nutrient intake. During a median follow-up of 6.5 years, 171 deaths were observed. None of the nutrients analysed was associated with mortality in the whole sample. However, in normal-weight women (BMI 18.5–25 kg/m 2 ) a high intake of carbohydrates (≥809 Kcal/day), specifically monosaccharides (≥468 Kcal/day), worsened prognostic compared to lowest (≤352 Kcal/day). Hazard Ratios (HRs) for increasing tertiles of intake were HR:2.22 95% CI (1.04 to 4.72) and HR:2.59 95% CI (1.04 to 6.48), respectively ( p trend = 0.04)). Conversely, high intakes of polyunsaturated fats (≥135 Kcal/day) improved global survival (HR: 0.39 95% CI (0.15 to 1.02) p -trend = 0.05) compared to the lowest (≤92.8 kcal/day). In addition, a protective effect was found substituting 100 kcal of carbohydrates with 100 kcal of fats in normal-weight women (HR: 0.76 95% CI (0.59 to 0.98)). Likewise, in premenopausal women a high intake of fats (≥811 Kcal/day) showed a protective effect (HR:0.20 95% CI (0.04 to 0.98) p trend = 0.06). Finally, in Estrogen Receptors (ER) negative tumors, we found a protective effect of high intake of animal proteins (≥238 Kcal/day, HR: 0.24 95% CI (0.06 to 0.98). According to our results, menopausal status, BMI and ER status could play a role in the relationship between diet and BC survival and must be taken into account when studying the influence of different nutrients.

Suggested Citation

  • Trinidad Dierssen-Sotos & Inés Gómez-Acebo & Nuria Gutiérrez-Ruiz & Nuria Aragonés & Pilar Amiano & Antonio José Molina de la Torre & Marcela Guevara & Jessica Alonso-Molero & Mireia Obon-Santacana & , 2020. "Dietary Constituents: Relationship with Breast Cancer Prognostic (MCC-SPAIN Follow-Up)," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:84-:d:467774
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