Volume 73 Supplement 1
The impact of body mass index on age at breast cancer diagnosis and breast cancer phenotype
© Brouckaert et al. 2015
Published: 17 September 2015
Evidence suggests that premenopausal obesity decreases and postmenopausal obesity increases breast cancer risk. It is unclear why this dual relationship is observed. We here study whether body mass index (BMI) affects (a) age at breast cancer diagnosis and (b) the probability of being diagnosed with a specific breast cancer phenotype, taking menopausal status into account.
Patients and methods
All patients with non-metastatic operable breast cancer from UZ Leuven diagnosed between January 1, 2000 and December 31, 2013 were included (n=7020). For statistical analysis, linear models and logistic regression were used to study respectively the association between BMI and age at diagnosis and BMI and breast cancer phenotype by menopausal status. Where necessary, a correction for the relation between BMI and age will be applied, based on publicly available data from the Belgian Health Interview Surveys.
There was a quadratic relationship between BMI and age at breast cancer diagnosis studying the overall population (p<0.0001). A 5kg/m2 increase in BMI was associated with the following increases in age at diagnosis: +1.8y (95% CI 1.4-2.3y) at BMI=18, +1.2y (95% CI 0.95-1.5y) at BMI=23 and +0.6y (95% CI 0.4-0.9y) at BMI=28 (corrected for menopause). Correction for the relation BMI with age are ongoing and not yet available in this abstract.
The relationship between BMI and the probability of being diagnosed with specific breast cancer phenotypes will be presented during the congress.
The relation between BMI and age at diagnosis and between BMI and the chance of being diagnosed with specific breast cancers is complex. New analyses taking into account the relation between BMI and age are ongoing. We look forward to present the final results on the congress.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.