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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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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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Related Experiment Video

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A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
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Predictive In Vivo Models for Oncology.

Diana Behrens, Jana Rolff, Jens Hoffmann

    Handbook of Experimental Pharmacology
    |October 23, 2015
    PubMed
    Summary

    Developing advanced cancer models, including patient-derived and humanized mouse models, is crucial for personalized drug development. These models improve preclinical research by addressing tumor heterogeneity and enhancing predictive accuracy for cancer therapies.

    Area of Science:

    • Oncology
    • Translational Research
    • Drug Discovery

    Background:

    • Cancer research requires clinically relevant in vitro and in vivo tumor models.
    • Increasing knowledge of cancer heterogeneity necessitates restructuring of preclinical test systems.
    • Current models face limitations due to xenogeneic barriers, impacting human-to-mouse translation.

    Purpose of the Study:

    • To outline an integrated discovery process for predictive and personalized drug development.
    • To highlight the need for larger panels of extensively characterized patient-derived tumor models.
    • To emphasize the potential of improved humanized mouse models to overcome xenogeneic barriers.

    Main Methods:

    • Implementation and characterization of larger panels of patient-derived tumor models.

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  • Integration of genetically engineered tumor models.
  • Development of core functions for expression profiling and data analysis.
  • Establishment of functional human immune systems and microenvironments in laboratory animals.

    • Main Results:

    • An integrated discovery process has been generated for predictive and personalized drug development.
    • Improved humanized mouse models are proposed to overcome xenogeneic barriers.
    • Closer integration of drug discovery, systems biology, and translational research is advancing cancer research.

    Conclusions:

    • Advanced preclinical models, including patient-derived and humanized mouse models, are essential for modern oncology research.
    • These models enhance the predictive value and success rate of cancer drug development.
    • The integration of diverse research approaches is key to addressing cancer complexity and advancing personalized medicine.