Abstract B50: Mouse Tumor Biology (MTB) database–An integrated data resource for GEM, inbred strains, and PDX models of human cancer
Authors: Krupke Debra M. , Begley Dale A. , Neuhauser Steven B. , Richardson Joel E. , Sundberg John P. , Bult Carol J. 
Published: May 2018

The number and types of mouse models of human cancer and the volume and heterogeneity of information related to the characterization of these models is diverse and large. The distributed nature of the information and lack of conformance to terminology standards complicates integrated searches of these data and the identification of relevant mouse models for a particular study or application.

The Mouse Tumor Biology database (MTB) (http://tumor.informatics.jax.org) provides online query tools to facilitate cohesive searches and visualization of these varied data, thus enabling the identification of appropriate mouse models of human cancer and potential therapeutic treatments. MTB is an expertly curated resource for information and data about genetically engineered mouse (GEM) strains, inbred strains, and patient-derived xenograft (PDX) models of human cancer. Enforcement of standard gene and strain nomenclature and use of controlled vocabularies within MTB enables complete and accurate searching of the published literature for relevant mouse models. Information in MTB is obtained from curation of peer-reviewed scientific publications and from direct data submissions from individual investigators and large-scale programs.

MTB has a primary focus on the cancer predisposition of inbred strains of mice and the spectrum of cancers observed in GEM models. Additionally, the breadth of MTB's data coverage has expanded to encompass PDX models. Recent enhancements to MTB include an interactive mouse model chart that summarizes the number of traditional mouse models and PDXs organized by the top 20 cancer types for human mortality as reported by the American Cancer Society. The traditional mouse models listed are restricted to those in which the frequency of the tumor type is very high (reported colony size greater than or equal to twenty; reported tumor frequency greater than or equal to 80%). For PDX models, all the publicly available models from The Jackson Laboratory PDX repository are listed. MTB currently contains more than 87,000 tumor frequencies, 7,000+ mouse strain cohorts, and over 6,700 images from over 4,300 references. MTB also provides access to detailed clinical, pathologic, expression, and genomics data from over 400 PDX models. Information in MTB is integrated with cancer models data from other bioinformatics resources including PathBase, the Gene Expression Omnibus (GEO), and ArrayExpress.

MTB is supported by NCI grant CA089713.

Citation Format: Debra M. Krupke, Dale A. Begley, Steven B. Neuhauser, Joel E. Richardson, John P. Sundberg, Carol J. Bult. Mouse Tumor Biology (MTB) database–An integrated data resource for GEM, inbred strains, and PDX models of human cancer [abstract]. In: Proceedings of the AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; 2017 Sep 24-27; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(10 Suppl):Abstract nr B50.