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Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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Preclinical mouse solid tumour models: status quo, challenges and perspectives.

Nicolas Gengenbacher¹, Mahak Singhal^1,2, Hellmut G Augustin^1,2,3

¹Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ-ZMBH Alliance), 69120 Heidelberg, Germany.

Nature Reviews. Cancer

|October 28, 2017

Summary

Preclinical mouse tumor models are crucial for oncology research, bridging lab studies and human trials. This analysis highlights challenges and suggests improvements for better relevance and reproducibility in these essential cancer research models.

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Area of Science:

Oncology
Translational Research
Preclinical Models

Background:

Human oncology research is ethically restricted, limiting direct therapeutic studies.
Preclinical mouse tumor models are vital for bridging in vitro research and human clinical trials.
These models are indispensable for advancing cancer therapy development.

Purpose of the Study:

To provide an overview of current preclinical mouse tumor biology research practices.
To identify key challenges in the field of preclinical cancer modeling.
To discuss potential improvements for preclinical mouse tumor models.

Main Methods:

Systematic survey of preclinical mouse tumor studies.
Analysis of research published in eight scientific journals in 2016.
Identification of trends and challenges in cancer model utilization.

Main Results:

Contemporary preclinical research extensively utilizes mouse tumor models.
Significant challenges exist in ensuring model relevance, reproducibility, and translatability.
Specific areas for improvement in model design and execution were identified.

Conclusions:

Preclinical mouse tumor models are essential but face challenges impacting their effectiveness.
Improvements are needed to enhance the predictive value and applicability of these models in oncology.
Addressing current limitations can lead to more translatable and impactful cancer research findings.