Abstract 1190: MMHCdb: A knowledgebase for the evolving landscape of mouse models of human cancer

Abstract

Abstract The laboratory mouse is the premier mammalian model organism for interrogating the genetic and molecular basis of human cancer and for preclinical investigations into targets for the prevention and treatment of cancer. The distributed and heterogenous nature of information about these model systems makes it difficult for researchers to integrate and interpret the information to determine the state of the field and to identify the most relevant models for basic and preclinical research. The Mouse Models of Human Cancer database (http://tumor.informatics.jax.org) is an expertly curated knowledgebase about genetically defined mouse strains and Patient Derived Xenograft (PDX) models of human cancer. Data in MMHCdb are obtained from peer-reviewed scientific publications and direct data submissions from individual investigators and large-scale programs. MMHCdb is built on FAIR data management principles (Findable, Accessible, Interoperable, Reusable). The enforcement of metadata standards and official gene, allele and strain nomenclature ensure accurate and comprehensive search results for cancer models. MMHCdb has long represented data from spontaneous or endogenously induced tumors from genetically defined mice and for PDXs which have been the foundation of basic cancer research and preclinical studies for decades. MMHCdb has expanded to include cancer models such as Diversity Outbred and Collaborative Cross mice which are ideally suited for research into the relationship of genetic variation with cancer susceptibility and for modeling the genetics of variability in treatment responses. The MMHCdb contains over 109,266 curated tumor frequency records for over 8,275 mouse strains. Tumor types in the database have been indexed to over 21,000 literature citations. PDX models and data available in MMHCdb are also accessible from the Patient Derived Cancer Models resource at EMBL-EBI which currently provides information for over 4,000 PDXs (https://cancermodels.org).MMHCdb is supported by NCI R01 CA089713 Citation Format: Dale A. Begley, Debbie M. Krupke, Steven Neuhauser, John Sundberg, Carol J. Bult. MMHCdb: A knowledgebase for the evolving landscape of mouse models of human cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1190.