Abstract
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.
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Data Availability
The data generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- ER:
-
Estrogen receptor
- PR:
-
Progesterone receptor
- HER2/ERBB2:
-
Human epidermal growth factor receptor 2
- TN:
-
Triple negative
- HR:
-
Hormone receptor
- BMI:
-
Body mass index
- PDX:
-
Patient derived xenograft
- MNU:
-
1-methyl-1-nitrosourea
- DMBA:
-
7,12-dimethylbenzathracene
- MMTV:
-
Mouse mammary tumor virus
- WAP:
-
Whey acidic promoter
- PyMT:
-
Polyoma-virus middle T antigen
- DIO:
-
Diet-induced obesity
- DIOX:
-
Diet-induced obesity/xenograft
- MDST:
-
Mouse-derived syngeneic transplant
- NSG:
-
NOD-SCID (non-obese diabetic, severe combined immunodeficient) IL2R-gamma
- PMBC:
-
Peripheral blood mononuclear cell
- OVX:
-
Ovariectomy
- DEXA:
-
Dual-energy x-ray absorptiometry
- HF:
-
High fat
- HFHS:
-
High fat/high sucrose
- LFHS:
-
Low fat/high sucrose
- LFLS:
-
Low fat/low sucrose
- HOMA-IR:
-
Homeostatic model assessment of insulin resistance
- OR:
-
Obesity-resistant
- OP:
-
Obesity-prone
- NK:
-
Natural killer
- VCD:
-
4-vinylcyclohexene diepoxide
- E2:
-
17ß-estradiol
- qMR:
-
Quantitative magnetic resonance
- NHANES:
-
National Health and Nutrition Examination Survey
- PBMC:
-
Peripheral blood mononuclear cell
- SEM:
-
Standard error of the mean
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Acknowledgments
Development of these models was a team effort, and we are incredibly grateful to the members of the ‘Fat Rat’ team, who were instrumental in developing and characterizing these models. This includes: Drs. Paul MacLean, Pepper Schedin, Ann Thor, Steven Anderson, and members of each of their labs. We are equally grateful to the skilled research technicians who ensured the success of the many studies in mice and rats that contributed to this work. Summary figures were created using BioRender.com.
Funding
This work was supported by the NIH R00CA169430 (Giles), R01CA241156 (Wellberg), R01CA164166 (MacLean), Colorado Nutrition Obesity Research Center Metabolic Phenotyping Core and Pilot Grant Program P30DK48520, TREC Training Workshop R25CA203650 (Giles and Wellberg), KL2TR002534 (Wellberg), the Komen Foundation CCR17483321 (Wellberg), and seed grants from the University of Colorado’s Center for Women’s Health Research (Giles and Wellberg).
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EDG and EAW contributed equally to this manuscript. Both authors contributed to the conception of the work and the acquisition, analysis, and interpretation of data. Both authors contributed to the intellectual content and writing of this paper and have approved the version to be published. Both EDG and EAW assume accountability for all aspects of the work and will ensure that any questions related to the accuracy or integrity of the work are appropriately investigated and resolved.
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Giles, E.D., Wellberg, E.A. Preclinical Models to Study Obesity and Breast Cancer in Females: Considerations, Caveats, and Tools. J Mammary Gland Biol Neoplasia 25, 237–253 (2020). https://doi.org/10.1007/s10911-020-09463-2
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DOI: https://doi.org/10.1007/s10911-020-09463-2