Pharmacodynamics of doxorubicin in human bladder tumors

Y Gan1, M G Wientjes, R A Badalament

  • 1Colleges of Pharmacy and Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, USA.

Insights

Doxorubicin treatment for bladder cancer shows variable efficacy. Tumor stage and p53 expression are key predictors of doxorubicin sensitivity, guiding treatment decisions for superficial and invasive bladder cancers.

Area of Science:

  • Oncology
  • Pharmacology
  • Cancer Biology

Background:

  • Intravesical doxorubicin offers limited efficacy in superficial bladder cancer and is ineffective in muscle-invasive disease.
  • Understanding the pharmacological basis and prognostic indicators of doxorubicin sensitivity is crucial for optimizing bladder cancer treatment.

Purpose of the Study:

  • To evaluate the pharmacological basis of doxorubicin's variable response in bladder cancer.
  • To identify prognostic indicators of tumor sensitivity to doxorubicin therapy.

Main Methods:

  • Pharmacodynamics of doxorubicin were assessed using histocultures of superficial (Ta, T1) and invasive (T2-T4) bladder tumor specimens.
  • Drug-induced proliferation inhibition (bromodeoxyuridine incorporation) and cell death were measured.
  • Chemosensitivity was correlated with tumor pathology, p53, and p-glycoprotein (Pgp) expression.

Main Results:

  • Doxorubicin sensitivity varied significantly (>700-fold) between superficial and invasive tumors, with IC50 values ranging from 0.14 to >100 µM.
  • Superficial tumors (Ta, T1) showed higher sensitivity than invasive tumors (T2-T4).
  • p53 expression and tumor stage were the strongest predictors of doxorubicin resistance, outperforming Pgp expression and proliferation index.

Conclusions:

  • Variable response to intravesical doxorubicin is linked to tumor chemosensitivity and tissue pharmacokinetics.
  • Invasive bladder cancer's lack of response is due to inadequate drug delivery and inherent tumor resistance.
  • p53 expression combined with high tumor stage significantly predicts doxorubicin sensitivity, offering a potential biomarker for treatment selection.