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International Journal of Clinical Oncology|September 3, 2022
Predictive role of circulatory levels of high-mobility group box 1 for radiation pneumonitis in patients with non-small cell lung cancer treated with definitive thoracic radiotherapyShoko Isoyama, Kakuhiro Yamaguchi, Nobuki Imano, et al.Internal Medicine (Tokyo, Japan)|July 12, 2019
Non-small Cell Lung Cancer Treated by an Anti-programmed Cell Death-1 Antibody without a Flare-up of Preexisting Granulomatosis with PolyangiitisTakahiro Yamada, Takeshi Masuda, Kakuhiro Yamaguchi, et al.Thoracic Cancer|January 25, 2022
First-line osimertinib treatment in a patient with lung adenocarcinoma with coexisting epidermal growth factor receptor G719S and de novo T790M mutationsNoriaki Ito, Takeshi Masuda, Ikuko Ooka, et al.Scientific Reports|February 22, 2023
Preserved ratio impaired spirometry with or without restrictive spirometric abnormalityShinichiro Miura, Hiroshi Iwamoto, Keitaro Omori, et al.Cancer Chemotherapy and Pharmacology|January 24, 2025
HMGB1 assists the predictive value of tumor PD-L1 expression for the efficacy of anti-PD-1/PD-L1 antibody in NSCLCKunihiko Funaishi, Kakuhiro Yamaguchi, Hiroki Tanahashi, et al.Respiratory Medicine Case Reports|October 14, 2024
Primary pulmonary extranodal NK/T-cell lymphoma diagnosed by thoracoscopic lung biopsy: A case reportMichihiko Tanaka, Yasushi Horimasu, Kazuma Kawamoto, et al.Molecular Therapy. Nucleic Acids|December 1, 2025
Systemic miR-26a deficiency attenuates pulmonary fibrosis via PTEN upregulation and downstream TIMP-1 suppressionArisa Hamada, Kiyofumi Shimoji, Taku Nakashima, et al.BMJ Open Respiratory Research|February 20, 2024
High S100A9 level predicts poor survival, and the S100A9 inhibitor paquinimod is a candidate for treating idiopathic pulmonary fibrosisShinichiro Miura, Hiroshi Iwamoto, Masashi Namba, et al.Respiratory Medicine|May 27, 2019
Comparison of anti-aminoacyl-tRNA synthetase antibody-related and idiopathic non-specific interstitial pneumoniaSachiko Shioya, Takeshi Masuda, Kakuhiro Yamaguchi, et al.Medicine|February 20, 2021
A machine-learning based approach to quantify fine crackles in the diagnosis of interstitial pneumonia: A proof-of-concept studyYasushi Horimasu, Shinichiro Ohshimo, Kakuhiro Yamaguchi, et al.Pageof 12