» Articles » PMID: 39609539

Normal Weight Obesity, Circulating Biomarkers and Risk of Breast Cancer: a Prospective Cohort Study and Meta-analysis

Overview
Journal Br J Cancer
Specialty Oncology
Date 2024 Nov 28
PMID 39609539
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Individuals with normal weight obesity (NWO) often escape the attention of healthcare providers who may assume that a normal body mass index (BMI) correlates with low health risks. However, it remains unknown whether NWO increases the risk of breast cancer.

Methods: This study included 22,257 and 52,506 pre- and postmenopausal females with normal BMI in the UK Biobank. NWO was defined as participants with a normal BMI (18.5-24.9 kg/m2) and an excess percent body fat (PBF > 33.3%). Cox proportional hazard models were used to investigate the associations of NWO and NWO-related biomarkers with incident breast cancer.

Results: NWO was not associated with premenopausal breast cancer, whereas it was associated with a higher risk of postmenopausal breast cancer (hazard ratio = 1.19, 95% CI: 1.08-1.31). In our meta-analysis, per 5-unit increment in percent body fat level was linked to a 15% (95% CI: 10-19%) elevated risk of postmenopausal breast cancer in females with normal BMI. Stratified analyses showed a stronger positive association in females with higher genetic risk. In our NWO-biomarkers analyses, NWO was linked to 34 identified biomarkers, of which three inflammation markers (monocyte count, neutrophil count, and C-reactive protein), and one ketone body metabolite (β-Hydroxybutyrate) also indicated a positive association with postmenopausal breast cancer.

Conclusions: NWO is associated with an increased risk of postmenopausal breast cancer, indicating that relying solely on BMI neglects the higher risk faced by non-obese postmenopausal women.

References
1.
Bhaskaran K, Douglas I, Forbes H, Dos-Santos-Silva I, Leon D, Smeeth L . Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5·24 million UK adults. Lancet. 2014; 384(9945):755-65. PMC: 4151483. DOI: 10.1016/S0140-6736(14)60892-8. View

2.
Liedtke S, Schmidt M, Vrieling A, Lukanova A, Becker S, Kaaks R . Postmenopausal sex hormones in relation to body fat distribution. Obesity (Silver Spring). 2012; 20(5):1088-95. DOI: 10.1038/oby.2011.383. View

3.
Cepeda-Valery B, Pressman G, Figueredo V, Romero-Corral A . Impact of obesity on total and cardiovascular mortality--fat or fiction?. Nat Rev Cardiol. 2011; 8(4):233-7. DOI: 10.1038/nrcardio.2010.209. View

4.
Farland L, Wang S, Rich-Edwards J, Gaskins A, Chavarro J, Wang Y . History of infertility and risk of breast cancer: a prospective cohort study. Breast Cancer Res Treat. 2023; 199(1):185-193. PMC: 10695171. DOI: 10.1007/s10549-023-06907-1. View

5.
Greenland S, Longnecker M . Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol. 1992; 135(11):1301-9. DOI: 10.1093/oxfordjournals.aje.a116237. View