Supraphysiologic Testosterone Therapy in the Treatment of Prostate Cancer: Models, Mechanisms and Questions

Osama S Mohammad1,2, Michael D Nyquist3, Michael T Schweizer4,5

  • 1Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. osamasaad89@live.com.

Cancers
|December 7, 2017
PubMed

Insights

High-dose testosterone (T) can inhibit prostate cancer (PCa) growth, offering a new therapeutic avenue. Further research is needed to understand response mechanisms and identify biomarkers for this advanced prostate cancer treatment.

Area of Science:

  • Oncology
  • Endocrinology
  • Cancer Biology

Background:

  • Prostate cancer (PCa) is initially androgen-sensitive, with testosterone (T) suppression as standard therapy.
  • Castration-resistant prostate cancer (CRPC) can paradoxically respond to T administration.
  • Preclinical models show biphasic PCa responses to T: proliferation at low doses, inhibition at high doses.

Purpose of the Study:

  • To review preclinical and clinical data on high-dose androgen-induced growth repression in PCa.
  • To discuss potential cellular pathways and mechanisms mediating this response.
  • To explore clinical applications and identify predictive biomarkers for high-dose T therapy.

Main Methods:

  • Review of preclinical studies on androgen biphasic responses in PCa models.
  • Analysis of clinical data from patients with advanced PCa treated with high-dose T.
  • Discussion of proposed molecular mechanisms and cellular pathways.

Main Results:

  • High-dose T administration has shown meaningful clinical responses in some men with PCa.
  • Preclinical data consistently demonstrate biphasic dose-dependent effects of T on PCa cells.
  • Not all patients respond to high-dose T, indicating variable tumor sensitivity.

Conclusions:

  • High-dose T represents a potential therapeutic strategy for advanced prostate cancer, including CRPC.
  • Understanding the mechanisms of high-dose T response and resistance is crucial for clinical optimization.
  • Identification of predictive biomarkers is essential to guide patient selection for this treatment.

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