Published February 15, 2019 | Version v1
Journal article

Molecular mechanisms linking high body mass index to breast cancer etiology in post-menopausal breast tumor and tumor-adjacent tissues

  • 1. Harvard Medical School, Department of Pathology, Beth Israel Deaconess Medical Center (United States)
  • 2. University of Massachusetts Amherst, Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences (United States)
  • 3. National Cancer Institute, Division of Cancer Epidemiology and Genetics (United States)
  • 4. Brigham and Women's Hospital, Channing Division of Network Medicine, Department of Medicine, Harvard Medical School (United States)
  • 5. Roswell Park Cancer Institute, Department of Cancer Prevention and Control (United States)
  • 6. AC Camargo Cancer Center, Departamento de Patologia (Brazil)
  • 7. University of Pittsburgh Medical Center, Department of Medicine (United States)
  • 8. Mayo Clinic, Department of Laboratory Medicine and Pathology (United States)
  • 9. Dana-Farber Cancer Institute and Brigham and Women's Cancer Center (United States)
  • 10. University of Pittsburgh School of Medicine, Department of Obstetrics, Gynecology and Reproductive Sciences (United States)
  • 11. Mayo Clinic, Department of Health Sciences Research (United States)

Description

Purpose

In 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.

Methods

Differential 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).

Results

No 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.

Conclusions

This 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.

Additional details

Identifiers

Publishing Information

Journal Title
Breast Cancer Research and Treatment
Journal Volume
173
Journal Issue
3
Journal Page Range
p. 667-677
ISSN
0167-6806
CODEN
BCTRD6

INIS

Optional Information

Copyright
Copyright (c) 2019 Springer Science+Business Media, LLC, part of Springer Nature