Development of a limited-sampling model for prediction of doxorubicin exposure in dogs

Luke Anthony Wittenburg, D. H. Thamm, D. L. Gustafson

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Understanding the relationship between drug dose and exposure (pharmacokinetics, PK) and the relationship between exposure and effect (pharmacodynamics) is an important component of pharmacology when attempting to predict clinical effects of anticancer drugs. PK studies can provide a better understanding of these relationships; however, they often involve intensive sampling over an extended period of time, resulting in increased cost and decreased compliance. Doxorubicin (DOX), one of the most widely used antineoplastic agents in veterinary cancer therapy, is characterized by large interpatient variability in overall drug exposure and the development and degree of myelosuppression following equivalent dosages. We have developed and validated a limited-sampling strategy for DOX, in which three blood samples are obtained over 1 h post-treatment, that accurately predicts patient exposure. This strategy could allow for refining of dosing variables and utilization of therapeutic drug monitoring to ensure optimized dosing.

Original languageEnglish (US)
Pages (from-to)114-119
Number of pages6
JournalVeterinary and Comparative Oncology
Issue number2
StatePublished - 2014
Externally publishedYes


  • Adriamycin
  • Canine
  • Limited sampling
  • Pharmacodynamics
  • Pharmacokinetics

ASJC Scopus subject areas

  • veterinary(all)
  • Medicine(all)


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