Systemic Therapies for Metastatic Castration-Resistant Prostate Cancer: An Updated Review

Koji Hatano1, Norio Nonomura2

  • 1Department of Urology, Osaka University Graduate School of Medicine, Suita, Japan. koj.hatan@gmail.com.

Insights

Novel therapies offer improved survival for advanced prostate cancer. Optimal sequencing of treatments like ARSIs, cabazitaxel, and radioligand therapy is crucial for managing metastatic castration-resistant prostate cancer (mCRPC).

Area of Science:

  • Oncology
  • Medical Science

Background:

  • Advanced prostate cancer, specifically metastatic castration-resistant prostate cancer (mCRPC), has seen significant therapeutic advancements.
  • New agents including abiraterone, enzalutamide, docetaxel, cabazitaxel, sipuleucel-T, radium-223, 177Lu-PSMA-617, and Olaparib have shown survival benefits.
  • Bone-modifying agents like denosumab and zoledronic acid are integral to managing skeletal-related events.

Purpose of the Study:

  • To review recent progress in systemic therapies for mCRPC.
  • To discuss strategies for patient selection and optimizing treatment sequences.
  • To highlight emerging therapeutic combinations and targeted approaches.

Main Methods:

  • Literature review of phase 3 trials and clinical studies on mCRPC treatments.
  • Analysis of efficacy and cross-resistance patterns of various therapeutic agents.
  • Examination of emerging treatment strategies, including upfront therapies and triplet regimens.

Main Results:

  • Multiple novel agents demonstrate survival benefits in mCRPC.
  • Cabazitaxel shows efficacy after docetaxel and androgen receptor-signaling inhibitor (ARSI) failure.
  • 177Lu-PSMA-617 is effective for PSMA-positive mCRPC, and PARP inhibitors show promise for tumors with HRR gene alterations.

Conclusions:

  • Optimal sequencing of therapies is critical due to potential cross-resistance.
  • Emerging strategies like triplet therapy and targeted agents (177Lu-PSMA-617, PARP inhibitors) offer new hope.
  • Personalized treatment selection based on tumor characteristics and prior therapies is essential for improving outcomes in mCRPC.

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