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Pharmacokinetic approach to rational therapeutic doses for human tumor-bearing nude mice

M Inaba1, T Kobayashi, T Tashiro

  • 1Cancer Chemotherapy Center, Japanese Foundation for Cancer Research, Tokyo.

Insights

Pharmacokinetically equivalent dosing in nude mouse models improves prediction of antitumor drug efficacy. Using equivalent doses, rather than maximum tolerated doses, better reflects clinical outcomes for most anticancer agents.

Area of Science:

  • Pharmacology
  • Oncology
  • Translational Medicine

Background:

  • Predicting antitumor agent efficacy in human tumor/nude mouse models requires doses that are pharmacokinetically equivalent to clinical doses.
  • Current reliance on maximum tolerated doses (MTD) may lead to over- or underestimation of therapeutic effects in preclinical models.

Purpose of the Study:

  • To determine pharmacokinetically equivalent doses for various anticancer agents in nude mouse models.
  • To compare these equivalent doses with MTDs for predicting clinical outcomes.

Main Methods:

  • Comparative pharmacokinetic studies between humans and nude mice were conducted for several anticancer agents.
  • Doses were adjusted to achieve plasma levels in nude mice similar to those in human patients.
  • Calculated doses were compared to the MTDs of the respective agents.

Main Results:

  • For alkylating agents (mitomycin C, ACNU, cyclophosphamide) and antimitotic agents (vincristine, vinblastine), equivalent doses were 1/4 to 1/5 of MTDs.
  • Adriamycin's MTD was pharmacokinetically equivalent to its clinical dose.
  • Clinically equivalent doses for antimetabolites (5-fluorouracil, methotrexate) exceeded MTDs, with effective plasma levels not achievable at MTDs in mice.

Conclusions:

  • Using MTDs in nude mouse models can lead to inaccurate predictions of antitumor agent efficacy.
  • Pharmacokinetically determined, clinically equivalent doses are essential for improving the predictability of preclinical antitumor studies.
  • This approach enhances the translational value of xenograft models in oncology drug development.

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