Mathematical modeling of prostate cancer progression in response to androgen ablation therapy

Harsh Vardhan Jain, Steven K. Clinton, Arvinder Bhinder, Avner Friedman

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Prostate cancer progression depends in part on the complex interactions between testosterone, its active metabolite DHT, and androgen receptors. In a metastatic setting, the first line of treatment is the elimination of testosterone. However, such interventions are not curative because cancer cells evolve via multiple mechanisms to a castrate-resistant state, allowing progression to a lethal outcome. It is hypothesized that administration of antiandrogen therapy in an intermittent, as opposed to continuous, manner may bestow improved disease control with fewer treatmentrelated toxicities. The present study develops a biochemically motivated mathematical model of antiandrogen therapy that can be tested prospectively as a predictive tool. The model includes "personalized" parameters, which address the heterogeneity in the predicted course of the disease under various androgen-deprivation schedules. Model simulations are able to capture a variety of clinically observed outcomes for "average" patient data under different intermittent schedules. The model predicts that in the absence of a competitive advantage of androgen-dependent cancer cells over castration-resistant cancer cells, intermittent scheduling can lead to more rapid treatment failure as compared to continuous treatment. However, increasing a competitive advantage for hormone-sensitive cells swings the balance in favor of intermittent scheduling, delaying the acquisition of genetic or epigenetic alterations empowering androgen resistance. Given the near universal prevalence of antiandrogen treatment failure in the absence of competing mortality, such modeling has the potential of developing into a useful tool for incorporation into clinical research trials and ultimately as a prognostic tool for individual patients.

Original languageEnglish (US)
Pages (from-to)19701-19706
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume108
Issue number49
DOIs
StatePublished - Dec 6 2011
Externally publishedYes

Keywords

  • Castration resistance
  • Continuous androgen ablation
  • Intermittent androgen ablation
  • Rapid antiandrogen cycling

Fingerprint

Dive into the research topics of 'Mathematical modeling of prostate cancer progression in response to androgen ablation therapy'. Together they form a unique fingerprint.

Cite this