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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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Related Experiment Video

Updated: Oct 7, 2025

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
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A Model-Based Framework to Identify Optimal Administration Protocols for Immunotherapies in Castration-Resistance

Roberta Coletti1, Andrea Pugliese2, Andrea Lunardi3

  • 1Fondazione The Microsoft Research, University of Trento Centre for Computational and Systems Biology (COSBI), 38068 Rovereto, Italy.

Cancers
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

Mathematical modeling suggests high-dose, short-term ipilimumab (anti-CTLA4) is optimal for castration-resistant prostate cancer (CRPC). Combining ipilimumab with sipuleucel-T enhances tumor control and reduces ipilimumab dosage.

Keywords:
computational biologyimmunotherapyipilimumabmathematical modelingoptimal administration protocolsoptimization problemsordinary differential equations (ODEs)prostate cancersipuleucel-Ttoxicity function

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Area of Science:

  • Oncology
  • Immunotherapy
  • Mathematical Modeling

Background:

  • Prostate cancer (PCa) frequently affects males, with castration-resistant prostate cancer (CRPC) becoming incurable.
  • CRPC exhibits resistance to immunotherapies, with only sipuleucel-T approved.
  • Anti-CTLA4 therapies are being investigated for CRPC treatment.

Purpose of the Study:

  • To determine optimal administration protocols for ipilimumab in CRPC.
  • To evaluate ipilimumab as a single treatment versus in combination with sipuleucel-T.
  • To consider both anti-tumor effects and drug toxicity in treatment optimization.

Main Methods:

  • Development of a mathematical model for CRPC.
  • Inclusion of a dose-dependent toxicity function derived from experimental data.
  • Definition and solving of two distinct optimization problems.

Main Results:

  • High-dose, short-duration ipilimumab administration is predicted to be more effective than prolonged low-dose regimens.
  • A synergistic effect was observed between ipilimumab and sipuleucel-T, improving tumor control.
  • Lower ipilimumab doses are feasible when combined with sipuleucel-T.

Conclusions:

  • Mathematical modeling provides insights into optimizing anti-CTLA4 therapy for CRPC.
  • Combination therapy with ipilimumab and sipuleucel-T shows promise for enhanced CRPC management.
  • Patient-specific factors may influence the potential for complete tumor eradication.