Modeling biomarker dynamics with implications for the treatment of prostate cancer

Erin B. Hedican, John T. Kemper, Nicole M. Lanie

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


The authors review existing models of biomarker dynamics and develop and investigate several new models which may better accommodate the underlying biology. While the general foundations of the models studied could be applied to a number of biomarker systems, the parameter values and specific applications to treatment regimens are focused on the role of prostate-specific antigen (PSA) as a biomarker for prostate cancer. Included are suggestions for possible clinical validation studies.

Original languageEnglish (US)
Pages (from-to)77-92
Number of pages16
JournalComputational and Mathematical Methods in Medicine
Issue number2
StatePublished - Jun 2007
Externally publishedYes


  • Benign prostate hyperplasia
  • Biomarker dynamics
  • Biomarker models
  • Prostate-specific antigen
  • Prostatic intraepithilial neoplasia

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • Applied Mathematics


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