Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

PurposeIn post-menopausal women, high body mass index (BMI) is an established breast cancer risk factor and is associated with worse breast cancer prognosis. We assessed the associations between BMI and gene expression of both breast tumor and adjacent tissue in estrogen receptor-positive (ER+) and estrogen receptor-negative (ER-) diseases to help elucidate the mechanisms linking obesity with breast cancer biology in 519 post-menopausal women from the Nurses' Health Study (NHS) and NHSII.MethodsDifferential gene expression was analyzed separately in ER+ and ER- disease both comparing overweight (BMI ≥ 25 to < 30) or obese (BMI ≥ 30) women to women with normal BMI (BMI < 25), and per 5 kg/m2 increase in BMI. Analyses controlled for age and year of diagnosis, physical activity, alcohol consumption, and hormone therapy use. Gene set enrichment analyses were performed and validated among a subset of post-menopausal cases in The Cancer Genome Atlas (for tumor) and Polish Breast Cancer Study (for tumor-adjacent).ResultsNo gene was differentially expressed by BMI (FDR < 0.05). BMI was significantly associated with increased cellular proliferation pathways, particularly in ER+ tumors, and increased inflammation pathways in ER- tumor and ER- tumor-adjacent tissues (FDR < 0.05). High BMI was associated with upregulation of genes involved in epithelial-mesenchymal transition in ER+ tumor-adjacent tissues.ConclusionsThis study provides insights into molecular mechanisms of BMI influencing post-menopausal breast cancer biology. Tumor and tumor-adjacent tissues provide independent information about potential mechanisms.

More information Original publication

DOI

10.1007/s10549-018-5034-1

Type

Journal article

Publication Date

2019-02-01T00:00:00+00:00

Volume

173

Pages

667 - 677

Total pages

10

Addresses

D, e, p, a, r, t, m, e, n, t, , o, f, , P, a, t, h, o, l, o, g, y, ,, , B, e, t, h, , I, s, r, a, e, l, , D, e, a, c, o, n, e, s, s, , M, e, d, i, c, a, l, , C, e, n, t, e, r, ,, , H, a, r, v, a, r, d, , M, e, d, i, c, a, l, , S, c, h, o, o, l, ,, , 3, 3, 0, , B, r, o, o, k, l, i, n, e, , A, v, e, ,, , D, a, n, a, , 5, 1, 7, B, ,, , B, o, s, t, o, n, ,, , M, A, ,, , 0, 2, 2, 1, 5, ,, , U, S, A, ., , y, h, e, n, g, @, b, i, d, m, c, ., h, a, r, v, a, r, d, ., e, d, u, .

Keywords

Humans, Breast Neoplasms, Obesity, Disease Susceptibility, Body Mass Index, Risk Assessment, Risk Factors, Reproducibility of Results, Gene Expression Profiling, Computational Biology, Postmenopause, Adult, Middle Aged, Female, Transcriptome, Public Health Surveillance, Biomarkers, Tumor