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Emi Sugimoto
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Journal Articles

Machine Learning-Based Predictive Modeling Maximizes the Efficacy of mTOR/TP53 Co-Targeting Therapy Against Acute Myeloid Leukemia

Jingmei Li, Emi Sugimoto, Keita Yamamoto, Yutong Dai, Sung-Joon Park, Kenta Nakai, Toshio Kitamura, Susumu Goyama
Journal: Blood
Blood (2024) 144 (Supplement 1): 272.
https://doi.org/10.1182/blood-2024-206818
Published: 2024
Journal Articles

CRISPR/Cas9 Library Screens Identified Atp2a2 As an In Vivo Specific Tumor Suppressor in Myeloid Neoplasms

Ruka Shimura, Moe Tamura, Keita Yamamoto, Kohei Iida, Shuhei Asada, Emi Sugimoto, E. Christine Pietsch, Barbara A. Weir, Ramona Crescenzo, Glenn S. Cowley, Ricardo M. Attar, Ulrike Philippar, Satoshi Yamasaki, Taisei Hirouchi, Kaoru Uchimaru, Toshio Kitamura, Susumu Goyama
Journal: Blood
Blood (2024) 144 (Supplement 1): 949.
https://doi.org/10.1182/blood-2024-206816
Published: 2024
Journal Articles

SETDB1 Suppresses Interferon Responses and NK Cell-Mediated Immunosurveillance Specifically in Monocytic AML

Yu-Hsuan Chang, Keita Yamamoto, Takeshi Fujino, Teh-Wei Wang, Emi Sugimoto, Wenyu Zhang, Tomohiro Yabushita, E. Christine Pietsch, Barbara A. Weir, Ramona Crescenzo, Glenn S. Cowley, Ricardo M. Attar, Ulrike Philippar, Yutaka Enomoto, Yoichi Imai, Toshio Kitamura, Susumu Goyama
Journal: Blood
Blood (2023) 142 (Supplement 1): 713.
https://doi.org/10.1182/blood-2023-177531
Published: 2023
Journal Articles

DNAM-1/Tigit/CD155/CD112 Axis Is a Novel Target of NK-Cell Therapy in Acute Myeloid Leukemia

Yuta Kaito, Emi Sugimoto, Fumi Nakamura, Yutaka Tsukune, Makoto Sasaki, Shunsuke Yui, Hiroki Yamaguchi, Susumu Goyama, Yasuhito Nannya, Kinuko Mitani, Hideto Tamura, Yoichi Imai
Journal: Blood
Blood (2022) 140 (Supplement 1): 4514–4516.
https://doi.org/10.1182/blood-2022-164435
Published: 2022