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Updated: Jul 23, 2025

A Genetically Engineered Mouse Model of Sporadic Colorectal Cancer
Published on: July 6, 2017
Dual Recombinase-Based Mouse Models Help Decipher Cancer Biology and Targets for Therapy
Tina Sket1,2,3, Chiara Falcomatà4, Dieter Saur1,2,3
1Division of Translational Cancer Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.
Abstract:
The advent of next-generation sequencing (NGS) and single-cell profiling technologies has revealed the complex and heterogenous ecosystem of human tumors under steady-state and therapeutic perturbation. Breakthroughs in the development of genetically engineered mouse models (GEMM) of human cancers that are based on the combination of two site-specific recombinase systems [dual-recombinase system (DRS)] offer fundamental new possibilities to elucidate and understand critical drivers of the diverse tumor phenotypes and validate potential targets for therapy. Here, we discuss opportunities DRS-based cancer GEMMs offer to model, trace, manipulate, and functionally investigate established cancers, their interactions with the host, and their response to therapy.
Insights
Genetically engineered mouse models using dual-recombinase systems (DRS-GEMMs) advance cancer research by enabling detailed study of tumor ecosystems and therapeutic responses. These models offer new ways to understand cancer drivers and validate therapeutic targets.
Area of Science:
- Oncology
- Genetics
- Bioengineering
Background:
- Next-generation sequencing and single-cell profiling reveal complex tumor ecosystems.
- Genetically engineered mouse models (GEMMs) are crucial for studying human cancers.
- Understanding tumor heterogeneity and host interactions is vital for effective cancer therapy.
Purpose of the Study:
- To discuss the utility of dual-recombinase system (DRS)-based cancer GEMMs.
- To highlight how DRS-GEMMs can model, trace, and manipulate tumor phenotypes.
- To explore the application of DRS-GEMMs in investigating host-tumor interactions and therapy response.
Main Methods:
- Development of genetically engineered mouse models (GEMMs) utilizing dual-recombinase systems (DRS).
- Application of advanced sequencing and single-cell profiling techniques.
- Functional investigation of cancer phenotypes, host interactions, and therapeutic responses within DRS-GEMMs.
Main Results:
- DRS-based cancer GEMMs provide unprecedented opportunities to study tumor ecosystems.
- These models facilitate the elucidation of critical drivers behind diverse tumor phenotypes.
- DRS-GEMMs enable validation of potential therapeutic targets.
Conclusions:
- DRS-based cancer GEMMs represent a significant advancement in cancer research.
- These models offer powerful tools for dissecting cancer biology and response to treatment.
- DRS-GEMMs are instrumental in validating novel therapeutic strategies.
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