Adaptive Immunity Determines the Cancer Treatment Outcome of Oncolytic Virus and Anti-PD-1

Kang-Ling Liao1, Kenton D Watt2

  • 1Department of Mathematics, University of Manitoba, 340 UMSU University Centre, Winnipeg, MB, R3T 2N2, Canada. Kang-Ling.Liao@umanitoba.ca.

PubMed

Insights

Anti-programmed death protein-1 (anti-PD-1) and oncolytic viruses (OV) boost immune responses against tumors. Adaptive immunity is key, but treatment efficacy depends on OV dosage and immune cell balance.

Area of Science:

  • Immunology
  • Mathematical Biology
  • Oncology

Background:

  • Immune checkpoint inhibitors like anti-PD-1 enhance adaptive immunity against tumors.
  • Oncolytic viruses (OV) stimulate innate immunity to eliminate infected tumor cells.
  • Combining these therapies may improve tumor reduction through synergistic immune activation.

Purpose of the Study:

  • To investigate the interaction between adaptive and innate immunities under OV and anti-PD-1 treatment.
  • To identify key factors influencing tumor reduction based on varying immune strengths.
  • To determine optimal treatment protocols for patients with different immune profiles.

Main Methods:

  • Development of a mathematical model simulating tumor-immune interactions.
  • Creation of virtual baseline and cohort patients with varying immunity strengths.
  • Global sensitivity analysis to assess the impact of different parameters on treatment outcomes.

Main Results:

  • Adaptive immunity exerts greater control over treatment outcomes than innate immunity.
  • Treatment efficacy is sensitive to OV dosage and the balance of infected cell clearance by T cells.
  • OV treatment is more sensitive to adaptive than innate immunity, and anti-PD-1 efficacy is amplified with stronger adaptive immunity.

Conclusions:

  • Tumor reduction is significantly influenced by the interplay of adaptive and innate immunity.
  • Anti-PD-1 can either enhance or counteract OV efficacy depending on OV dosage and host immune status.
  • Tailoring treatment protocols based on individual immune strength is crucial for optimizing therapeutic outcomes.

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