Translational Therapeutics in Genetically Engineered Mouse Models of Cancer

2014 ◽  
Vol 2014 (2) ◽  
pp. pdb.top069997 ◽  
Author(s):  
Kenneth P. Olive ◽  
Katerina Politi
Keyword(s):  
Mouse Models ◽  
Genetically Engineered ◽  
Genetically Engineered Mouse Models ◽  
Mouse Models Of Cancer

scholarly journals Rapid Validation of Cancer Genes and Drug Targets in Genetically Engineered Mouse Models of Cancer

2013 ◽  
Vol 24 ◽  
pp. i7
Author(s):  
I.J. Huijbers ◽  
R. Bin Ali ◽  
C. Pritchard ◽  
M. Cozijnsen ◽  
N. Proost ◽  
...  
Keyword(s):  
Mouse Models ◽  
Drug Targets ◽  
Genetically Engineered ◽  
Cancer Genes ◽  
Genetically Engineered Mouse Models ◽  
Mouse Models Of Cancer

scholarly journals Keeping Score: Semiquantitative and Quantitative Scoring Approaches to Genetically Engineered and Xenograft Mouse Models of Cancer

2018 ◽  
Vol 56 (1) ◽  
pp. 24-32 ◽  
Author(s):  
Sue E. Knoblaugh ◽  
Lauren E. Himmel
Keyword(s):  
Mouse Models ◽  
Human Disease ◽  
Numerical Data ◽  
Genetically Engineered ◽  
Tumor Biomarkers ◽  
Genetically Engineered Mouse Models ◽  
Scoring Schemes ◽  
Mouse Models Of Cancer ◽  
Quantitative Scoring

There is a growing need to quantitate or “score” lesions in mouse models of human disease, for correlation with human disease and to establish their clinical relevance. Several standard semiquantitative scoring schemes have been adapted for nonneoplastic lesions; similarly, the pathologist must carefully select an approach to score mouse models of cancer. Genetically engineered mouse models with a continuum of precancerous and cancerous lesions and xenogeneic models of various derivations present unique challenges for the pathologist. Important considerations include experimental design, understanding of the human disease being modeled, standardized classification of lesions, and approaches for semiquantitative and/or quantitative scoring in the model being evaluated. Quantification should be considered for measuring the extent of neoplasia and expression of tumor biomarkers. Semiquantitative scoring schemes have been devised that include severity, frequency, and distribution of lesions. Although labor-intensive, scoring mouse models of cancer provides numerical data that enable statistical analysis and greater translational impact.

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