177Lu-PSMA-617 radioligand therapy as an immune modulator in prostate cancer

Carolina Sciortino1, Amedeo Nuzzo1, Marco Stellato1

  • 1Genitourinary Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy.

Abstract

Insights

Prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) shows promise in modulating the tumor immune microenvironment for metastatic castration-resistant prostate cancer (mCRPC). Further research into biomarkers and combination strategies is needed for optimal clinical benefit.

Area of Science:

  • Oncology
  • Radiopharmaceutical Therapy
  • Immunotherapy

Background:

  • Metastatic castration-resistant prostate cancer (mCRPC) presents significant therapeutic challenges.
  • Advances in systemic treatments offer limited efficacy for many patients.
  • Prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) with 177Lu-PSMA-617 is an emerging treatment strategy.

Purpose of the Study:

  • To review preclinical and clinical evidence on the immunomodulatory effects of PSMA-targeted RLT.
  • To explore how 177Lu-PSMA-617 impacts immune cells and the tumor microenvironment.
  • To examine the role of alternative radioligands and targeted agents.

Main Methods:

  • A narrative literature review of studies up to January 2026.
  • Utilized the PubMed database for study identification.
  • Synthesized evidence on immunomodulatory effects, cell death induction, and microenvironmental interactions.

Main Results:

  • 177Lu-PSMA-617 influences immune cell populations and induces immunogenic cell death.
  • The therapy interacts with tumor microenvironmental factors like hypoxia, vascularization, and PSMA heterogeneity.
  • Alternative radioligands (alpha-emitters, fibroblast activation protein-targeted agents) were also considered.

Conclusions:

  • PSMA-targeted RLT shows potential as an immune-priming strategy in mCRPC.
  • Clinical impact is currently limited by tumor and microenvironmental heterogeneity.
  • Biomarker selection, dosimetry optimization, and combination with immunotherapy are crucial for maximizing clinical benefit.

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