Burden of postmenopausal breast cancer attributable to excess body weight: comparative study of body mass index and CUN-BAE in MCC-Spain study
Year: 2024
Type: article
Study design: Observational Study
Abstract: BACKGROUND: 10% of postmenopausal breast cancer cases are attributed to a high body mass index (BMI). BMI underestimates body fat, particularly in older women, and therefore the cancer burden attributable to obesity may be even higher. However, this is not clear. CUN-BAE (Clínica Universidad de Navarra-Body Adiposity Estimator) is an accurate validated estimator of body fat, taking into account sex and age. The objective of this study was to compare the burden of postmenopausal breast cancer attributable to excess body fat calculated using BMI and CUN-BAE. METHODS: This case-control study included 1033 cases of breast cancer and 1143 postmenopausal population controls from the multicase-control MCC-Spain study. Logistic regression models were used to calculate odds ratios (ORs). The population attributable fraction (PAF) of excess weight related to breast cancer was estimated with both anthropometric measures. Stratified analyses were carried out for hormone receptor type. RESULTS: and 38.0% when assessed using a CUN-BAE value of ≥40% body fat. Hormone receptor stratification showed that these differences in PAFs were only observed in hormone receptor positive cases, with an estimated burden of 19.9% for BMI and 41.9% for CUN-BAE. CONCLUSION: These findings suggest that the significance of excess body fat in postmenopausal hormone receptor positive breast cancer could be underestimated when assessed using only BMI. Accurate estimation of the cancer burden attributable to obesity is crucial for planning effective prevention initiatives.
Authors: Naiara Cubelos-Fernández, Verónica Dávila-Batista, Tania Fernández-Villa, Gemma Castaño-Vinyals, Beatriz Perez-Gomez, Pilar Amiano, Eva Ardanaz, Irene Delgado Sillero, Javier Llorca, Guillermo Fernández Tardón, Juan Alguacil, Mercedes Vanaclocha Espí, Rafael Marcos-Gragera, Víctor Moreno, Nuria Aragones, Ane Dorronsoro, Marcela Guevara, Sofía Reguero Celada, Marina Pollan, Manolis Kogevinas, Vicente Martín
Institutions: Universidad de León, Universidad de Las Palmas de Gran Canaria, Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Universitat Pompeu Fabra, Hospital Del Mar, Barcelona Institute for Global Health, Hospital del Mar Research Institute, Instituto de Salud Carlos III, Basque Government, Biogipuzkoa Health Research Institute, Instituto de Salud Pública de Navarra, Navarre Institute of Health Research, Universidad de Cantabria, Instituto de Investigación Sanitaria del Principado de Asturias, Universidad de Huelva, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, Universitat de Girona, Departament de Salut, Institut Català d'Oncologia, Institut d'Investigació Biomèdica de Girona, Institut d'Investigació Biomédica de Bellvitge, Universitat de Barcelona
Language: English
Topic: Cancer Risks and Factors
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Centres de Recerca de Catalunya, European Commission, Fundación Científica Asociación Española Contra el Cáncer, Generalitat de Catalunya, Ministerio de Economía y Competitividad, Universidad de Oviedo, Junta de Castilla y León, Fundación Marqués de Valdecilla, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III
Awards: G1203044189, G1274129560, G1317564010, G1343860231, G1443676575, G1492351230, G1563087297, G1656120899, G1677669578, G178315305, G1839702727, G1900157527, G2045172656, G2092426522, G2103931134, G2117726266, G2151249950, G2247562131, G2377181310, G25115478, G2553834064, G2620658983, Estudio de las interacciones microbioma-anfitrión para la prevención del cáncer colorrectal (Colonbiome), G2739777946, G2957026379, G3033981070, G3224322550, G3317672598, G3559709381, G3583461342, G3635063837, G3646853989, G3750740788, G3771020718, G3807906117, G3888200106, G3931208633, G4118698698, Identificación de marcadores de susceptibilidad genética útiles para el diseño de estrategias personalizadas de cribado, G4502495630, G4505522013, G4561499809, G4600474357, G4623508005, G4628349315, G4820186031, Enhancing natural wastewater treatment systems: the role of particles in sunlight-mediated virus inactivation, G5394670091, G5432386086, G556022927, G5578384164, G5578457147, G5675886668, G5716438915, G5803674879, G5881411584, G5893827543, G5942132429, G6260981759, G6508629688, Supervivencia de cáncer colorrectal en el proyecto MCC-Spain: Modelos de predicción que integran datos genéticos y clínico-epidemiológicos, G6737142931, G677632107, G687257720, G7029154051, G7835729849, G7868651054, G7932779895, Integración de big data genéticos y datos clínicos: supervivencia con cáncer de mama en el estudio MCC-Spain, Integración de big data genéticos y datos clínicos: supervivencia y calidad de vida en participantes con cáncer de próstata en el estudio MCC-Spain, G8214743223, G8227040326, G8297320173, G8619603317, G8630196938, G8684904721, G8759146715, G8835261403, Aceptabilidad, optimización y coste-efectividad de las estrategias para un cribado conjunto endometrial/cervical mediante autotoma, G8931017233, G8934562342, Perfil molecular del envejecimiento en la patogénesis y pronóstico de la leucemia linfática crónica
OpenAlex ID: W4403489061