Optimizing Care for Patients With Metastatic Castration-Resistant Prostate Cancer

Pierre-Yves Cren1, James Buteau2,3, Umma Fatema4

  • 1Department of Medical Oncology, Centre Oscar Lambret, Lille, France.

Insights

A new framework guides metastatic castration-resistant prostate cancer (mCRPC) management by integrating clinical, molecular, and imaging data. This approach optimizes treatment sequencing and supportive care for improved patient outcomes.

Area of Science:

  • Oncology
  • Medical Therapeutics
  • Patient Management

Background:

  • The treatment landscape for metastatic castration-resistant prostate cancer (mCRPC) has expanded significantly.
  • Earlier treatment intensification leads to complex clinical presentations at castration resistance onset.
  • Current treatment sequencing and decision-making require a more integrated approach.

Purpose of the Study:

  • To propose a pragmatic, patient-centered framework for managing mCRPC.
  • To integrate clinical features, molecular profiling, imaging, and supportive care into treatment decisions.
  • To guide clinicians in optimizing therapeutic strategies for mCRPC patients.

Main Methods:

  • Confirmation of castration resistance via biochemical or radiographic progression at castrate testosterone levels.
  • Treatment selection based on prior therapies, disease burden, symptoms, comorbidities, and frailty.
  • Molecular characterization for homologous recombination repair (HRR) alterations and mismatch repair deficiency (dMMR).
  • Utilizing Prostate-Specific Membrane Antigen (PSMA)-targeted radioligand therapy with PSMA-positron emission tomography (PET) based selection.
  • Incorporating early palliative care (EPC) and bone-protecting agents.

Main Results:

  • Molecular profiling identifies candidates for PARP inhibitors and immune checkpoint blockade.
  • PSMA-PET imaging aids in selecting patients for PSMA-targeted radioligand therapy.
  • Clinical factors like liver metastases and prior treatment response influence outcomes.
  • Early assessment of treatment response (PSA, PSMA-PET) supports adaptive strategies.
  • Bone-protecting agents reduce skeletal-related events; EPC improves quality of life.

Conclusions:

  • A comprehensive framework integrating diverse data improves mCRPC management.
  • Personalized treatment selection based on molecular and imaging biomarkers is crucial.
  • Early integration of supportive care, including EPC and bone protection, enhances patient well-being.
  • Adaptive treatment strategies informed by early response assessment are key to overcoming resistance.

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