Abstract 14: The impact of genetic background on cancer phenotypes of mouse models

Abstract

Abstract The laboratory mouse is the premier animal model system for in vivo studies of the genetic and genomic basis of cancer in humans. Although thousands of mouse models have been generated, finding relevant data and knowledge about these models is complicated by a general lack of compliance in the published literature with nomenclature and annotation standards for genes, alleles, mouse strains, and cancer types. The Mouse Models of Human Cancer database (MMHCdb; tumor.informatics.jax.org) is an expertly curated knowledgebase of cancer phenotypes reported for diverse types of mouse models of human cancer such as inbred mouse strains, genetically engineered mouse models (GEMMs), Patient Derived Xenografts (PDXs), and mouse genetic diversity panels (e.g., the Collaborative Cross). MMHCdb includes data on more than 60,000 mouse models for over 1200 tumor classifications curated from more than 25,000 peer-reviewed publications. One of the primary goals of the MMHCdb is to highlight the impact of genetic background on the incidence and presentation of different tumor types in mice. The same allele on different backgrounds can result in very different cancer characteristics and, therefore, impact the appropriateness of a model for a specific research application. In MMHCdb, users can review the impact of genetic background on the frequency of spontaneous tumors for inbred mouse strains using an interactive table generated from different published and unpublished data sources. In addition, color-coded tabular summaries of individual papers are available that allow researchers to quickly assess how genetic background affects cancer phenotypes in the mouse models reported in a specific publication. We will highlight examples of how genetic background can profoundly change the types and frequencies of tumor types that can be expected in mouse models of human cancer. MMHCdb is supported by NCI R01 CA089713 Citation Format: Dale A. Begley, Debra M. Krupke, Steven B. Neuhauser, Emily L. Jocoy, John P. Sundberg, Carol J. Bult. The impact of genetic background on cancer phenotypes of mouse models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 14.