4.2 Article

Preclinical Models to Study Obesity and Breast Cancer in Females: Considerations, Caveats, and Tools

Journal

JOURNAL OF MAMMARY GLAND BIOLOGY AND NEOPLASIA
Volume 25, Issue 4, Pages 237-253

Publisher

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10911-020-09463-2

Keywords

Obesity; Adipose tissue; Preclinical model; Breast cancer; Thermoneutrality; Diet; Ovariectomy; Menopause; Carcinogen; Tumor subtype

Funding

  1. NIH [R00CA169430, R01CA241156, R01CA164166]
  2. Colorado Nutrition Obesity Research Center Metabolic Phenotyping Core and Pilot Grant Program [P30DK48520]
  3. TREC Training Workshop [R25CA203650, KL2TR002534]
  4. Komen Foundation [CCR17483321]
  5. University of Colorado's Center for Women's Health Research

Ask authors/readers for more resources

Obesity increases the risk for breast cancer and is associated with poor outcomes for cancer patients. A variety of rodent models have been used to investigate these relationships; however, key differences in experimental approaches, as well as unique aspects of rodent physiology lead to variability in how these valuable models are implemented. We combine expertise in the development and implementation of preclinical models of obesity and breast cancer to disseminate effective practices for studies that integrate these fields. In this review, we share, based on our experience, key considerations for model selection, highlighting important technical nuances and tips for use of preclinical models in studies that integrate obesity with breast cancer risk and progression. We describe relevant mouse and rat paradigms, specifically highlighting differences in breast tumor subtypes, estrogen production, and strategies to manipulate hormone levels. We also outline options for diet composition and housing environments to promote obesity in female rodents. While we have applied our experience to understanding obesity-associated breast cancer, the experimental variables we incorporate have relevance to multiple fields that investigate women's health.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available