Combining PD-1/PD-L1 blockade with type I interferon in cancer therapy

Ali Razaghi1, Mickaël Durand-Dubief2, Nele Brusselaers3,4,5

  • 1Department of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.

Frontiers in Immunology
|September 11, 2023
PubMed

Insights

Combining type I interferon (IFN) with PD-1/PD-L1 blockade enhances cancer immunity by increasing T cell activity within tumors. This immunotherapy combination shows promise for improving patient survival across various cancers.

Area of Science:

  • Immunology
  • Oncology
  • Cancer Therapy

Background:

  • Programmed cell death protein 1 (PD-1) and its ligand (PD-L1) are immune checkpoint proteins exploited by tumors to evade immune surveillance.
  • Blocking the PD-1/PD-L1 interaction can unleash T cell-mediated anti-tumor immunity.
  • Type I interferons (IFN) are cytokines that modulate immune responses and can enhance anti-tumor activity.

Purpose of the Study:

  • To evaluate the synergistic effects of combining PD-1/PD-L1 blockade with type I interferon therapy for cancer treatment.
  • To assess the impact of this combination on anti-tumoral immune responses and clinical outcomes.

Main Methods:

  • Review of preclinical and clinical data on the combination of type I IFN and PD-1/PD-L1 blockade.
  • Analysis of immune cell infiltration, activation, and memory T cell generation in tumors.
  • Assessment of safety, efficacy, and patient responses in early-phase clinical trials (Phases I and II).

Main Results:

  • The combination therapy significantly increases T cell infiltration and activation within tumors.
  • Synergistic effects enhance tumor cell sensitivity to PD-1/PD-L1 blockade and promote memory T cell generation.
  • Phase I/II trials demonstrated acceptable safety and promising efficacy across various cancer types, particularly melanoma.

Conclusions:

  • Combining type I IFN with PD-1/PD-L1 blockade represents a promising strategy to enhance anti-tumor immunity and improve patient survival.
  • Further Phase III/IV trials are warranted to compare this combination with standard treatments and evaluate long-term outcomes and side effects.
  • Identifying predictive biomarkers is crucial for optimizing patient selection and monitoring treatment response.

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