Mechanisms of Resistance to Prostate-Specific Membrane Antigen-Targeted Radioligand Therapy in a Mouse Model of Prostate Cancer

  • Andreea D. Stuparu
  • , Joseph R. Capri
  • , Catherine A.L. Meyer
  • , Thuc M. Le
  • , Susan L. Evans-Axelsson
  • , Kyle Current
  • , Mark Lennox
  • , Christine E. Mona
  • , Wolfgang P. Fendler
  • , Jeremie Calais
  • , Matthias Eiber
  • , Magnus Dahlbom
  • , Johannes Czernin
  • , Caius G. Radu
  • , Katharina Lückerath
  • , Roger Slavik

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

Prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) is effective against prostate cancer (PCa), but all patients relapse eventually. Poor understanding of the underlying resistance mechanisms represents a key barrier to development ofmore effective RLT. We investigate the proteome and phosphoproteome in a mouse model of PCa to identify signaling adaptations triggered by PSMA RLT. Methods: Therapeutic efficacy of PSMA RLT was assessed by tumor volume measurements, time to progression, and survival in C4-2 or C4-2 TP532/2 tumor-bearing nonobese diabetic scid g-mice. Two days after RLT, the proteome and phosphoproteome were analyzed by mass spectrometry. Results: PSMA RLT significantly improved disease control in a dose-dependent manner. Proteome andphosphoproteomedatasets revealedactivationof genotoxic stress response pathways, including deregulation ofDNA damage/replication stress response, TP53, androgen receptor, phosphatidylinositol-3- kinase/AKT, andMYCsignaling.C4-2TP532/2 tumorswere less sensitive to PSMARLT thanwereparental counterparts, supporting a role for TP53 inmediatingRLT responsiveness.Conclusion:Weidentified signaling alterations that may mediate resistance to PSMA RLT in a PCa mousemodel. Our data enable the development of rational synergistic RLT-combination therapies to improve outcomes for PCa patients.

Original languageEnglish
Pages (from-to)989-995
Number of pages7
JournalJournal of Nuclear Medicine
Volume62
Issue number7
DOIs
StatePublished - 1 Jul 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • DNA damage response
  • [177Lu]Lu-PSMA;prostatecancer;proteomics/ phosphoproteomics
  • [225Ac]Ac-PSMA

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