Host Immunity Following Near-Infrared Photoimmunotherapy Is Enhanced with PD-1 Checkpoint Blockade to Eradicate
Tadanobu Nagaya1, Jay Friedman2, Yasuhiro Maruoka1
1Molecular Imaging Program, Center for Cancer Research, NCI, NIH, Bethesda, Maryland.
Cancer Immunology Research
|January 27, 2019
Summary
Near-infrared photoimmunotherapy (NIR-PIT) combined with PD-1 blockade overcomes adaptive immune resistance. This combination therapy enhances tumor antigen-specific T-cell responses, leading to complete tumor rejection and systemic immune memory.
Area of Science:
- Immunology
- Oncology
- Biotechnology
Background:
- Near-infrared photoimmunotherapy (NIR-PIT) induces immunogenic cell death but often fails to generate durable antitumor responses.
- Adaptive immune resistance is a potential barrier to sustained efficacy after NIR-PIT treatment.
Purpose of the Study:
- To investigate the combination of NIR-PIT targeting CD44 with PD-1 blockade in syngeneic tumor models.
- To determine if this combination can overcome adaptive immune resistance and induce durable antitumor immunity.
Main Methods:
- Utilized multiple syngeneic tumor models in mice.
- Administered NIR-PIT targeting CD44 alone or in combination with PD-1 blockade.
- Assessed tumor growth, immune cell infiltration (dendritic cells), and tumor antigen-specific T-cell responses (preexisting and de novo).
Main Results:
- NIR-PIT monotherapy halted tumor growth and induced de novo T-cell responses in two of three models.
- Combination therapy reversed adaptive immune resistance, enhancing both preexisting and de novo T-cell responses.
- Complete rejection of MC38 tumors and systemic antitumor immunity, including immune memory, were observed with combination treatment.
Conclusions:
- Combining NIR-PIT with PD-1 blockade effectively reverses adaptive immune resistance.
- This strategy induces robust innate and adaptive immunity, leading to significant tumor growth control and rejection.
- Tumor antigenicity is a key factor influencing response to combination therapy, with antigenic models showing higher efficacy.
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