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Updated: Jun 26, 2026

A Genetically Engineered Mouse Model of Sporadic Colorectal Cancer
Published on: July 6, 2017
The untapped potential of genetically engineered mouse models in chemoprevention research: opportunities and
Cory Abate-Shen1, Powel H Brown, Nancy H Colburn
1Department of Urology, Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA. cabateshen@columbia.edu
Abstract:
The past decade has witnessed the unveiling of a powerful new generation of genetically engineered mouse (GEM) models of human cancer, which are proving to be highly effective for elucidating cancer mechanisms and interrogating novel experimental therapeutics. This new generation of GEM models are well suited for chemoprevention research, particularly for investigating progressive stages of carcinogenesis, identifying biomarkers for early detection and intervention, and preclinical assessment of novel agents or combinations of agents. Here we discuss opportunities and challenges for the application of GEM models in prevention research, as well as strategies to maximize their relevance for human cancer.
Insights
Genetically engineered mouse models offer powerful tools for cancer research, aiding in understanding disease mechanisms and testing new therapies for prevention and early detection.
Area of Science:
- Oncology
- Genetics
- Translational Research
Background:
- Recent advancements have introduced a new generation of genetically engineered mouse (GEM) models.
- These models closely mimic human cancer, proving effective for mechanistic studies and therapeutic evaluations.
Purpose of the Study:
- To discuss the application of GEM models in cancer prevention research.
- To highlight opportunities and challenges in utilizing GEM models for chemoprevention and early detection strategies.
Main Methods:
- Review of current literature on genetically engineered mouse models in cancer research.
- Discussion of the suitability of GEM models for studying carcinogenesis and preclinical assessments.
Main Results:
- GEM models are highly effective for elucidating cancer mechanisms and evaluating novel therapeutics.
- They are well-suited for investigating carcinogenesis, identifying biomarkers, and preclinical assessment of agents.
Conclusions:
- GEM models represent a significant advancement for cancer research and prevention.
- Strategies are needed to maximize the translational relevance of GEM models for human cancer prevention.
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