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Publications

Journal Article Review Ppublish

PubMed: 40509936 DOI: 10.1158/1940-6207.CAPR-24-0545

Murine Models of Obesity-Related Cancer Risk.

Cancer Prev Res (Phila) 18(9):509-529

Authors: Lukmon M Raji, Monowarul M Siddique, Margaret S Bohm, Joseph F Pierre, Mary C Playdon, Scott A Summers, Bing Li, Katherine L Cook, E Angela Murphy, Liza Makowski

Affiliations

  • Department of Microbiology, Immunology and Biochemistry, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennesse.
  • The Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
  • Department of Nutritional Sciences, College of Agriculture and Life Science, The University of Wisconsin-Madison, Madison, Wisconsin.
  • Department of Pathology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa.
  • Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
  • Department of Pathology, Microbiology, and Immunology, School of Medicine, University of South Carolina, Columbia, South Carolina.
  • Department of Microbiology, Immunology and Biochemistry, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennesse. Division of Hematology and Oncology, Department of Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee. UTHSC Center for Cancer Research, College of Medicine, The University of Tennessee Health Science Center, Memphis, Tennessee.

Abstract

Obesity is a global menace that has impacted more than 14% of adults worldwide and more than a third of Americans. Importantly, obesity is associated with an increased risk of more than 13 types of cancer and worse outcomes, including increased mortality. This review focuses on the importance of considering obesity and metabolic dysfunction in cancer risk as part of the NCI's funded consortium known as the Metabolic Dysfunction and Cancer Risk Program. It describes previous and ongoing mouse models used in studies conducted by Metabolic Dysfunction and Cancer Risk Program consortium members, as well as other relevant studies. Most cancer studies examine tumor progression, metastasis, or recurrence, which are consequences following tumor onset; however, this approach does not consider risk per se. To truly model cancer risk, parameters to measure include the quantification of cancer onset, measured as incidence or latency. Investigators must be cognizant of many factors in study design, including the choice of cancer model and genetic strain. Preclinical approaches addressing risk typically include genetically engineered mouse models or the administration of irritants or carcinogens. We also discuss the transplantation of cells or tumors such as allografts or xenografts, with a focus on tumor rejection or regression to approximate cancer risk, not cancer progression. Herein, we highlight two cancers, breast and colorectal cancers, in which risk is associated with obesity and discussed varied murine model approaches, as well as key findings that explore cancer risk, prevention, or interception.

MeSH

Neoplasms, Obesity