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DOI 10.1016/j.canlet.2026.218515

Медицинская библиотека · Cancer letters · 2026

Understanding tumor microenvironment dynamics and immune checkpoint inhibitor efficacy following mEGFR-targeted near-infrared photoimmunotherapy.

Takao Seiichiro, Furusawa Aki, Kano Makoto, Yamamoto Hiroshi, Kano Miyu, Suzuki Motofumi, Fukushima Hiroshi, Okuyama Shuhei, Kitamura Ko, Choyke Peter L, Kobayashi Hisataka

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Аннотация

Near-infrared photoimmunotherapy (NIR-PIT) is an innovative cancer treatment that provides both direct and selective killing of cancer cells and enhancement of the host's antitumor immune response. In Japan, EGFR-targeted NIR-PIT is already used clinically for head and neck cancer; however, there is limited understanding of the immune response kinetics of EGFR-targeted NIR-PIT. This limitation poses a significant barrier to further development of NIR-PIT, such as expanding its applications to other cancers and combination therapies. The purpose of this study is to establish a model incorporating EGFR-targeted NIR-PIT using a new anti-mouse EGFR (mEGFR) antibody and to evaluate its potential in an immunocompetent model. Employing a syngeneic tumor expressing mEGFR, mEGFR-targeted NIR-PIT showed significant tumor suppression in both the LL/2-luc and TS/A models, with the latter also showing improved survival. Analysis of the host immune response after NIR-PIT in the TS/A model indicated a temporary early increase in dendritic cell maturation markers, followed by a rise in intratumoral CD8+ T cells from day three after treatment. Combining CTLA-4 blockade therapy with mEGFR-targeted NIR-PIT resulted in strong tumor growth inhibition and prolonged survival in both models. Notably, the group received early CTLA-4 therapy, which aligns with the timing of immune activation after NIR-PIT, demonstrated better antitumor effect than the group receiving late CTLA-4 therapy. In summary, this mEGFR-targeted NIR-PIT model enabled detailed analysis of NIR-PIT-mediated immune effects and facilitated the establishment of the optimal treatment schedule for CTLA-4 blockade. This preclinical NIR-PIT model would provide valuable insights into improving treatment strategies.

Для цитирования: Takao Seiichiro, Furusawa Aki, Kano Makoto, Yamamoto Hiroshi, Kano Miyu, Suzuki Motofumi, Fukushima Hiroshi, Okuyama Shuhei, Kitamura Ko, Choyke Peter L, Kobayashi Hisataka. Understanding tumor microenvironment dynamics and immune checkpoint inhibitor efficacy following mEGFR-targeted near-infrared photoimmunotherapy.. Cancer letters. 2026. DOI: 10.1016/j.canlet.2026.218515.

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