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Enhancement of drug delivery through fibroblast activation protein–targeted near-infrared photoimmunotherapy
Seitaro Nishimura, Kazuhiro Noma, Tasuku Matsumoto, Yasushige Takeda, Tatsuya Takahashi, Hijiri Matsumoto, Kento Kawasaki, Hotaka Kawai, Tomoyoshi Kunitomo, Masaaki Akai, Teruki Kobayashi, Noriyuki Nishiwaki, Hajime Kashima, Takuya Kato, Satoru Kikuchi, Shunsuke Tanabe, Toshiaki Ohara, Hiroshi Tazawa, Yasuhiro Shirakawa, Peter L. Choyke, Hisataka Kobayashi, Toshiyoshi Fujiwara
Seitaro Nishimura, Kazuhiro Noma, Tasuku Matsumoto, Yasushige Takeda, Tatsuya Takahashi, Hijiri Matsumoto, Kento Kawasaki, Hotaka Kawai, Tomoyoshi Kunitomo, Masaaki Akai, Teruki Kobayashi, Noriyuki Nishiwaki, Hajime Kashima, Takuya Kato, Satoru Kikuchi, Shunsuke Tanabe, Toshiaki Ohara, Hiroshi Tazawa, Yasuhiro Shirakawa, Peter L. Choyke, Hisataka Kobayashi, Toshiyoshi Fujiwara
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Research Article Gastroenterology Oncology

Enhancement of drug delivery through fibroblast activation protein–targeted near-infrared photoimmunotherapy

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Abstract

The tumor microenvironment plays a key role in cancer progression and therapy resistance, with cancer-associated fibroblasts (CAFs) contributing to desmoplasia, extracellular matrix (ECM) remodeling, and elevated interstitial fluid pressure, all of which hinder drug delivery. We investigated fibroblast activation protein–targeted (FAP-targeted) near-infrared photoimmunotherapy (NIR-PIT) as a strategy to improve drug penetration in CAF-rich tumors. In clinical esophageal cancer samples, FAP expression strongly correlated with increased collagen I, hyaluronic acid, and microvascular collapse. CAF-rich 3D spheroids demonstrated elevated ECM deposition and significantly impaired drug uptake compared with CAF-poor models. FAP-targeted NIR-PIT selectively reduced CAFs, reduced ECM components, and restored drug permeability. In vivo, FAP-targeted NIR-PIT enhanced the accumulation of panitumumab and Abraxane in CAF-rich tumors and improved antitumor efficacy when combined with chemotherapy. These findings highlight FAP-targeted NIR-PIT as a promising therapeutic approach to remodel the tumor stroma and overcome drug resistance in desmoplastic solid tumors.

Authors

Seitaro Nishimura, Kazuhiro Noma, Tasuku Matsumoto, Yasushige Takeda, Tatsuya Takahashi, Hijiri Matsumoto, Kento Kawasaki, Hotaka Kawai, Tomoyoshi Kunitomo, Masaaki Akai, Teruki Kobayashi, Noriyuki Nishiwaki, Hajime Kashima, Takuya Kato, Satoru Kikuchi, Shunsuke Tanabe, Toshiaki Ohara, Hiroshi Tazawa, Yasuhiro Shirakawa, Peter L. Choyke, Hisataka Kobayashi, Toshiyoshi Fujiwara

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Figure 2

Correlation between CAF and ECM components, CD31 microvascular density, and clinical outcomes in esophageal cancer.

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Correlation between CAF and ECM components, CD31 microvascular density, ...
(A) Representative esophageal cancer sample showing Col I staining (original magnification, ×400; scale bars: 50 μm). (B) Distribution of Col I area indices, with the median indicated (red bar). (C) Overall survival comparison between patients with high (n = 42) and low (n = 42) Col I levels (log-rank test). (D) Representative esophageal cancer sample stained for HA (original magnification, ×400; scale bars: 50 μm). (E) Histogram showing HA area indices, with the median marked (red bar). (F) Survival analysis for patients with high (n = 42) and low (n = 42) HA expression (log-rank test). (G) Representative esophageal cancer sample stained for CD31 (original magnification, ×400; scale bars: 50 μm). (H) Distribution of microvascular density (MVD) for vessels with diameters of 0–9 μm, with the median highlighted (red bar). (I) Survival comparison for patients with high (n = 41) and low (n = 43) MVD of 0 to 9 μm diameter vessels (log-rank test). (J) Representative esophageal cancer sample showing FAP staining (original magnification, ×400; scale bars: 50 μm). (K) Correlation between FAP levels and Col I/HA area indices in esophageal cancer samples (n = 84, Spearman’s correlation). (L) Correlation between FAP levels and MVD of 0 to 9 μm diameter vessels in esophageal cancer samples (n = 84, Spearman’s correlation).

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