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Updated: Aug 14, 2026
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
Published on: November 2, 2014
Mouse models for sporadic cancer
R Meuwissen1, J Jonkers, A Berns
1Division of Molecular Genetics and Center of Biomedical Genetics, The Netherlands Cancer Institute, Amsterdam, 1066 CX, The Netherlands.
Abstract:
Much of the advancement in mouse models for cancer during the past 2 decades can be attributed to our increasing capacity to specifically modify the mouse germ line. The first generations of oncomice and tumor-suppressor gene knockouts are now being succeeded by regulatable or conditional mouse tumor models, which can be utilized more effectively to establish correlations between distinct genetic lesions and specific tumor characteristics and to design and improve therapeutic intervention strategies. In this review we try to give the reader a flavor of how the latest reagents can be utilized.
Insights
Advancements in cancer research utilize sophisticated genetically engineered mouse models. These conditional mouse tumor models enable better understanding of genetic lesions and improved cancer therapy strategies.
Area of Science:
- Oncology
- Genetics
- Animal Models
Background:
- Significant progress in cancer research over 20 years is linked to enhanced mouse germ line modification capabilities.
- Early oncomice and tumor-suppressor gene knockout models are evolving into more advanced regulatable and conditional systems.
Purpose of the Study:
- To review the application of the latest reagents in developing advanced mouse tumor models.
- To illustrate how conditional mouse models aid in cancer research and therapeutic strategy development.
Main Methods:
- Review of recent advancements in genetic engineering techniques for mouse models.
- Discussion of regulatable and conditional mouse tumor model development.
Main Results:
- Conditional mouse models offer enhanced utility over earlier generations.
- These models facilitate stronger correlations between genetic alterations and tumor phenotypes.
- Improved design and validation of cancer therapeutic interventions are possible.
Conclusions:
- Latest genetic engineering reagents are crucial for developing sophisticated conditional mouse tumor models.
- These advanced models are instrumental in dissecting cancer biology and optimizing treatment strategies.
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