Navigating therapeutic sequencing in the metastatic castration-resistant prostate cancer patient journey.

Prostate Cancer Prostatic Dis

Duke Cancer Institute Center for Prostate and Urologic Cancer, Duke University, Durham, NC, USA.

Published: October 2024

AI Article Synopsis

  • Novel therapies for metastatic castration-resistant prostate cancer (mCRPC) have improved outcomes, but optimal treatment selection remains unclear.
  • A comprehensive review of clinical trials and guidelines was conducted, identifying key factors for treatment selection like personal history, symptoms, and genetic testing.
  • The article discusses the current mCRPC treatment landscape, including recommended options and ongoing trials, while offering recommendations for treatment sequencing based on patient-specific factors.

Article Abstract

Background: Novel therapies for metastatic castration-resistant prostate cancer (mCRPC) have improved patient outcomes. However, there is uncertainty on the optimal selection of therapeutic agents for subsequent lines of therapy.

Methods: We conducted a comprehensive review of published evidence from pivotal clinical trials and recent guidelines for the treatment of mCRPC. We further identify gaps in knowledge and areas for future research.

Results: Key considerations to help guide treatment selection for patients with mCRPC include personal treatment history, individual clinical characteristics, symptoms, prognosis, availability of clinical trials, and other patient-specific factors. Genetic testing and prostate-specific membrane antigen-targeted imaging are important tools to evaluate candidacy for newer therapeutic options such as poly (ADP-ribose) polymerase inhibitors, alone or in combination with androgen receptor pathway inhibitors, and [Lu]Lu-PSMA-617.

Conclusion: This article provides an overview of the evolving treatment landscape of mCRPC, discussing guideline-recommended treatment options and data from key clinical trials, while highlighting ongoing trials that may impact the future treatment landscape. Recommendations for optimal treatment sequencing based on individual patient factors are provided.

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Source
http://dx.doi.org/10.1038/s41391-024-00906-zDOI Listing

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