Genetically engineered knock-in and conditional knock-in mouse models of cancer

Area of Science:

• Genetics
• Cancer Biology
• Animal Models

Background:

• Classical transgenic models offer rapid assessment but lack crucial regulatory elements and often fail to replicate human cancer complexity.
• Overexpression of oncogenes in transgenic models can lead to tumors with aberrant histopathology and genetic profiles, diverging from human disease.

Purpose of the Study:

• To highlight the advantages of targeted knock-in (KI) strategies for creating more accurate models of human tumors.
• To discuss advancements in KI technologies that improve the recapitulation of human disease features.

Main Methods:

• Utilizing targeted mutation of endogenous loci to create KI alleles for physiological gene expression.
• Employing advanced strategies for stochastic activation of KI alleles in somatic cells.
• Leveraging site-specific engineered nucleases to accelerate KI model development.

Main Results:

• KI alleles allow for expression of mutant genes under normal physiological regulation, enhancing model accuracy.
• Stochastic activation creates a microenvironment of wild-type cells surrounding mutant cells, mimicking tumor heterogeneity.
• Engineered nucleases streamline the creation and implementation of sophisticated KI models.

Conclusions:

• Targeted KI strategies significantly improve the fidelity of mouse models for human diseases, particularly cancer.
• Advanced KI technologies enable the development of sophisticated models that better recapitulate histopathological and genetic aspects of human tumors.