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Predictive testing with the subrenal capsule assay.

A E Bogden, W Griffin, S D Reich

    Cancer Treatment Reviews
    |March 1, 1984
    PubMed
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    This study presents a rapid, cost-effective 6-day in vivo assay using human tumor xenografts in mice to predict drug efficacy. Preliminary results show promising correlations between the assay and clinical responses, supporting its use in oncology drug development.

    Area of Science:

    • Oncology
    • Pharmacology
    • Translational Medicine

    Background:

    • Evaluating novel oncolytic drug activity requires reliable predictive assays.
    • Existing methods may be time-consuming or fail to accurately reflect in vivo tumor response.
    • A need exists for a rapid, reproducible, and cost-effective assay for drug sensitivity testing.

    Purpose of the Study:

    • To develop and validate a short-term, in vivo predictive assay for evaluating drug activity against human solid tumors.
    • To assess the feasibility of using human tumor explants in a xenograft model for drug screening.
    • To establish preliminary correlations between in vitro drug sensitivity and clinical outcomes.

    Main Methods:

    • Utilized a 6-day xenograft assay in immunocompetent CDF1 mice with human tumor explants.

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  • Employed a simple tumor size parameter to measure oncolytic drug activity, controlling for tissue quality and necrosis.
  • Collected data on drug efficacy and host response to establish assay reproducibility.

    • Main Results:

    • Demonstrated the feasibility of using human tumor explants from various solid malignancies in a short-term in vivo assay.
    • Observed predictability and reproducibility of the 6-day assay, measuring a biological property of the tumor.
    • Preliminary correlations between in vivo assay tumor sensitivity and clinical response showed reasonable concurrence.

    Conclusions:

    • The 6-day xenograft assay is a feasible, economical, and reproducible system for evaluating oncolytic drug activity.
    • The assay shows potential as a predictive tool for cancer drug development, correlating with clinical responses.
    • Further validation through large-scale, prospective, multi-institutional, and randomized clinical trials is necessary.