1. Modeling Acquired Resistance to the Second-Generation Androgen Receptor Antagonist Enzalutamide in the TRAMP Model of Prostate Cancer
- Author
-
Magdalena Kostrzewa, Marco Presta, Luca Triggiani, Daniela Coltrini, Debora Paris, Viviana Marolda, Roberta Verde, Ali M. Mahmoud, Federica Maccarinelli, Gaia C. Ghedini, Marianna Cerasuolo, Roberto Ronca, Alessia Ligresti, Arianna Giacomini, Dominique Melck, and Sara Rezzola
- Subjects
Male ,0301 basic medicine ,Cancer Research ,medicine.medical_treatment ,Disease ,urologic and male genital diseases ,Mice ,03 medical and health sciences ,chemistry.chemical_compound ,Prostate cancer ,0302 clinical medicine ,Acquired resistance ,In vivo ,Cell Line, Tumor ,Antineoplastic Combined Chemotherapy Protocols ,Nitriles ,Phenylthiohydantoin ,Androgen Receptor Antagonists ,Animals ,Humans ,Medicine ,Enzalutamide ,Androgen receptor antagonist ,Chemotherapy ,business.industry ,medicine.disease ,Disease Models, Animal ,Prostatic Neoplasms, Castration-Resistant ,030104 developmental biology ,Oncology ,chemistry ,Drug Resistance, Neoplasm ,Receptors, Androgen ,030220 oncology & carcinogenesis ,Benzamides ,Disease Progression ,Cancer research ,Taxoids ,business ,Signal Transduction ,Tramp - Abstract
Enzalutamide (MDV3100) is a potent second-generation androgen receptor antagonist approved for the treatment of castration-resistant prostate cancer (CRPC) in chemotherapy-naïve as well as in patients previously exposed to chemotherapy. However, resistance to enzalutamide and enzalutamide withdrawal syndrome have been reported. Thus, reliable and integrated preclinical models are required to elucidate the mechanisms of resistance and to assess therapeutic settings that may delay or prevent the onset of resistance. In this study, the prostate cancer multistage murine model TRAMP and TRAMP-derived cells have been used to extensively characterize in vitro and in vivo the response and resistance to enzalutamide. The therapeutic profile as well as the resistance onset were characterized and a multiscale stochastic mathematical model was proposed to link the in vitro and in vivo evolution of prostate cancer. The model showed that all therapeutic strategies that use enzalutamide result in the onset of resistance. The model also showed that combination therapies can delay the onset of resistance to enzalutamide, and in the best scenario, can eliminate the disease. These results set the basis for the exploitation of this “TRAMP-based platform” to test novel therapeutic approaches and build further mathematical models of combination therapies to treat prostate cancer and CRPC. Significance: Merging mathematical modeling with experimental data, this study presents the “TRAMP-based platform” as a novel experimental tool to study the in vitro and in vivo evolution of prostate cancer resistance to enzalutamide.
- Published
- 2020
- Full Text
- View/download PDF