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【正文】 genetics and histo pathology of human cancers was recognized in 1998 as an ‘exceptional opportunity’ by the National Cancer Institute () (2). Mouse models provide the means to explore genetic and cellular aspects of disease progression and to test therapeutic strategies that might ultimately be used clinically in humans (2,3). Different inbred strains of mice vary in their intrinsic tumor susceptibility. Standard inbred mice are not usually appropriate models for human cancers because of the relatively low frequency and late onset of sporadic cancers in mice. However, knowing the characteristic cancer ‘profile’ of a particular genetic background is critical to the process of selecting the appropriate mouse strain for developing transgenic or targeted mutation mice whose disease progression patterns may be more useful for modeling genetic and molecular aspects of a specific human disease. Much of the data about tumor susceptibility and resistance in genetically defined strains of mice (., inbred lines, transgenics, targeted mutation strains) are not available in a format that allows researchers to pare different strains of mice to one another or to pare the cancer profile of a standard inbred strain to that of a transgenic or targeted mutation line created on the same inbred background. Integrating diverse data about genetics and patho biology for genetically defined strains of mice in a queryable database system is the primary mission of the Mouse Tumor Biology (MTB) Database (4,5). In a recent survey of Webbased resources for cancer genetics research, we identified over 70 databases and information resources related to basic cancer genetics research (6). The majority of existing cancerrelated resources and databases focus on single genes or specific cancer syndromes. Only a handful of the sites we surveyed provided information about mouse models of human cancers。 Email: cjb REFERENCES1 Paigen,K. (1995) A miracle enough: the power of mice. Nature Med., 1, 215–220.[ISI][Medline] 2 DePinho,. and Jacks,T. (1999) Mouse models of cancer: Introductory ments. Oncogene, 18, 5248.[ISI] 3 Klausner,R. (1999) Studying cancer in the mouse. Oncogene, 18, 5249–5252.[ISI][Medline] 4 Bult,., Krupke,. and Eppig,. (1999) Electronic access to mouse tumor data: the Mouse Tumor Biology Database (MTB) project. NucleicText] 7 Blake,., Eppig,., Richardson,., Kadin,., Bult,. and the Mouse Genome Database Group. (2001) The Mouse Genome Database (MGD): Integration Nexus for the Laboratory Mouse. Nucleic Acids Res., 29, 91–94.[Abstract/Free FullGenome, 11, 715–717.[ISI][Medline] 11 Beck,., Lloyd,S., Hafezparast,M., LennonPierce,M., Eppig,., Festing,. and Fisher,. (2000) Genealogies of mouse inbred strains. Nature Genet., 24, 23–25.[ISI][Medline] 12 / 12。Acids Res., 28, 115–119. Updated article in this issue: Nucleic Acids Res. (2001), 29, 98–101.[Abstract/Free FullText] 5 Bult,., Krupke,., Sundberg,. and Eppig,. (2000) Mouse Tumor Biology Database (MTB): enhancements and current status. Nucleic Acids Res., 28, 112–114.[Abstract/Free Fullpoint mutations, deletions, etc.) in the Rb1 gene. The query results for gene symbol searches are returned in two parts. First, a list of the alleles for genes represented in MTB is returned. Second, the associations of the alleles with either tumor and/or strains are indicated along with hypertext links to the appropriate detail pages. Enhancements to the tumor frequency gridThe MTB tumor frequency grid was introduced in 1999 as a graphical means of querying and displaying plex cancer profile information for families of inbred strains of mice (5). The tumor frequency grid includes most of the inbred strains of mice that are being systematically characterized as part of an international collaboration (also known as the mouse ‘phenome’ project) to establish broad baseline phenotypic data on monly used and genetically diverse inbred strains of the laboratory mouse (10). We have made two enhancements to the tumor frequency grid to make it more informative for our users. First, we changed the grid from a threecolor coding system to reflect tumor frequency to a fivecolor system. The display of five colors allows more precise information about tumor frequency to be municated graphically and has the additional benefit that relative frequencies can be discerned even if the grid is printed out or displayed in black and white. Second, we restructured the listing of the strains in the gr
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