Abstract

Metastatic castration resistant prostate cancer (mCRPC) is commonly treated by androgen deprivation therapy (ADT) in combination with chemotherapy. Immune therapy by checkpoint inhibitors, has become a powerful new tool in the treatment of melanoma and lung cancer, and it is currently being used in clinical trials in other cancers, including mCRPC. However, so far, clinical trials with PD-1 and CTLA-4 inhibitors have been disappointing. In the present paper we develop a mathematical model to assess the efficacy of any combination of ADT with cancer vaccine, PD-1 inhibitor, and CTLA-4 inhibitor. The model is represented by a system of partial differential equations (PDEs) for cells, cytokines and drugs whose density/concentration evolves in time within the tumor. Efficacy of treatment is determined by the reduction in tumor volume at the endpoint of treatment. In mice experiments with ADT and various combinations of PD-1 and CTLA-4 inhibitors, tumor volume at day 30 was always larger than the initial tumor. Our model, however, shows that we can decrease tumor volume with large enough dose; for example, with 10 fold increase in the dose of anti-PD-1, initial tumor volume will decrease by 60%. Although the treatment with ADT in combination with PD-1 inhibitor or CTLA-4 inhibitor has been disappointing in clinical trials, our simulations suggest that, disregarding negative effects, combinations of ADT with checkpoint inhibitors can be effective in reducing tumor volume if larger doses are used. This points to the need for determining the optimal combination and amounts of dose for individual patients.

Highlights

  • Prostate cancer is a major public health concern in the United States, with 248,000 new cases annually, and 34,000 deaths [1]

  • Therapy for metastatic castration resistant prostate cancer (mCRPC) with immune checkpoint inhibitors (ICI), androgen deprivation therapy (ADT) and vaccine sensitivity analysis was performed in S1 File Section 2, and the techniques used for the simulations are in described in S1 File Section 3

  • The combination with anti-PD-1 drug (A1)+anti-CTLA-4 drug (A4) increases efficacy from 89.08% to 94.41%; this moderate increase is in agreement with Fig 5A of [49], where degarelix was combined with α-PD-1 and α-CLTA-4 (ND)

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Summary

Introduction

Prostate cancer is a major public health concern in the United States, with 248,000 new cases annually, and 34,000 deaths [1]. Treatments of mCRPC include ADT in combination with chemotherapeutic drugs [36, 37], and current clinical trials include cancer vaccines and immune therapy, primary checkpoint inhibitors [38,39,40,41]. In [57] they considered combination of PD-1 and VEGF inhibitors and addressed the question in which order to administer the drugs in cases where VEGF inhibitor is known to affect the perfusion of other drugs They showed that non-overlapping schedule of injections of the Therapy for mCRPC with ICI, ADT and vaccine two drugs is significantly more effective than simultaneous injections. We develop for the first time a mathematical model for cancer therapy that combines checkpoint inhibitors, vaccine and chemical castration. The list includes the following drugs: anti-PD-1, A1 (nivolumab); anti-CTLA-4, A4 (ipilimumab); ENZ (E) and Sip-T (S)

Mathematical model
Numerical simulations
Model calibration
Therapy predictions
Findings
Conclusion
Full Text
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