Table 3.
Future challenges and possible solutions for mouse preclinical cancer trials
Issue | Challenges | Possible Solutions |
---|---|---|
Model improvement | More precise spatial and temporal control of genetic alterations in mouse tissues | Improve technologies for genomic editing (e.g., CRISPR) and regulating gene activity |
Human relevance of stroma, immune system and therapeutic targets in mouse cancer models | “Humanize” genes via genetic engineering and immune system by reconstitution with human hematopoietic stem cells | |
Recapitulation of the tumor heterogeneity found in human cancers | Introduce environmental etiological factors (e.g., UV in skin cancer models); allow tumor evolution by avoiding inappropriately dominant oncogenic drivers | |
Study setting | Difficulties in diagnosis and treatment of large cohorts of mice as individual patients | Synchronize tumorigenesis by adopting inducible GEM or transplantable GDA systems |
Disease progression and clinically relevant endpoints in preclinical study | Improve biomarkers and imaging techniques for tumor tracking; adopt clinically-relevant endpoints (e.g., progression-free survival) | |
Integration of pathologic, genomic, bioinformatic, molecular and immunological analyses | Develop/share improved and standardized protocols; organize workflows with core facilities | |
Extrapolation to human disease | Evaluating effects of life style on therapeutic outcomes | Consider gender, diet, and exposure to environmental factors in protocol development; consider effects of microbiota |
Physiological difference between mouse and human | “Humanize” aspects of mice; consider scaling law in PD/PK, life span, hemodynamics, etc. |