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Predictive experimental animal tumor models: a concept

A E Bogden, H J Esber

    National Cancer Institute Monograph
    |December 1, 1978
    PubMed
    Summary
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    Selecting appropriate animal tumor models is crucial for advancing cancer research. A spectrum of well-defined models, rather than single instances, better predicts clinical responses, especially for immunotherapy development.

    Area of Science:

    • Oncology
    • Comparative Pathology
    • Translational Medicine

    Background:

    • Animal tumor models are essential tools in cancer research, but their predictive value varies.
    • Existing models often fail to capture the full spectrum of human disease heterogeneity.
    • The complexity of cancer necessitates a nuanced approach to model selection.

    Purpose of the Study:

    • To introduce a conceptual framework for classifying animal tumor models.
    • To emphasize the importance of selecting appropriate models for immunotherapy research.
    • To highlight the need for well-characterized preclinical systems.

    Main Methods:

    • Conceptual differentiation between organ-specific disease models and specific neoplasm class models.
    • Emphasis on using a 'block' of tumors reflecting a spectrum of growth patterns and reactivities.

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  • Discussion of model selection criteria for chemotherapy and radiation responsiveness.
  • Main Results:

    • No single animal tumor model can fully represent an entire disease entity.
    • A collection of models exhibiting diverse characteristics better mimics clinical variability.
    • The effectiveness of immunotherapy is contingent on the chosen preclinical models.

    Conclusions:

    • Well-defined and characterized animal tumor model systems are critical for accurate preclinical research.
    • The selection of a spectrum of models is superior to single models for predicting clinical outcomes.
    • This approach is particularly vital for the development of novel immunotherapies.