Mouse Models of Human Cancer Database

NIH RePORTER · NIH · R01 · $720,266 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY/ABSTRACT The laboratory mouse is the preeminent animal model system for investigation into the biology and genetics of human cancer. Mouse models have provided key insights into cancer susceptibility, the molecular genetics of tumor suppressor and oncogenes, and therapy response in pre-clinical and co-clinical studies. Human tumors engrafted into immune compromised and humanized mice (aka, Patient Derived Xenografts) are playing an increasingly important role as a powerful preclinical platform for testing new cancer treatments. The Mouse Models of Human Cancer (MMHC) database is a unique on-line compendium of mouse models for human cancer. MMHCdb provides electronic access to expertly curated and harmonized information on diverse mouse models for human cancer along with tools for accessing and visualizing associated data from these models. This in turn, facilitates the selection of appropriate strains of mice for cancer genetics research. MMHCdb integrates data derived from peer-reviewed literature and from direct submissions from researchers. Data in MMHCdb are also obtained from other bioinformatics resources including PathBase, HUGO Human Gene Nomenclature database, the Gene Expression Omnibus (GEO), and ArrayExpress. In this proposal we describe our plans for the continued development of MMHCdb with an emphasis on expanded support for analysis of tumor genomic data and drug response data from Patient Derived Xenograft models. To accomplish these goals we will build on successful collaborations to develop data standards for PDX models that are now widely adopted. The major goals for the project renewal include the following: · continue to populate MMHCdb with data on strain-specific patterns of tumorigenesis in inbred, mutant, and genetically engineered mice, · leverage collaborations with Seven Bridges and PDXNet to analyze genomic data for PDX models using a common analysis pipeline, · develop a platform for the analysis of PDX genomic and drug response data, and · support the infrastructure of MMHCdb and our user community through ongoing database maintenance, development of new software components, user support services, and community outreach activities.

Key facts

NIH application ID
10443699
Project number
5R01CA089713-20
Recipient
JACKSON LABORATORY
Principal Investigator
CAROL J BULT
Activity code
R01
Funding institute
NIH
Fiscal year
2022
Award amount
$720,266
Award type
5
Project period
2000-12-01 → 2026-06-30