【査読付き英文論文】

*1. Hirose S, Murakami N, Takahashi K, Kuno I, Takayanagi D, Asami Y, Matsuda M, Shimada Y, Yamano S, Sunami K, Yoshida K, Honda T, Nakahara T, Watanabe T, Komatsu M, Hamamoto R, Kobayashi-Kato M, Matsumoto K, Okuma K, Kuroda T, Okamoto A, Itami J, Kohno T, Kato T, Shiraishi K, Yoshida H: Genomic Alterations in STK11 Can Predict Clinical Outcomes in Cervical Cancer Patients. Gynecol Oncol, 156, 203-210 (2020) [pubmed]

*2. Isago H, Mitani A, Mikami Y, Horie M, Urushiyama H, Hamamoto R, Terasaki Y, Nagase T: Replcation stress triggers microsatellite destabilization and hypermutation leading to clonal expansion in vitro. American Journal of Respiratory Cell and Molecular Biology, 62, 256-266 (2020) [pubmed]

*3. Hamamoto R, Komatsu M, Takasawa K, Asada K, Kaneko S: Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine. Biomolecules, 10, 62 (2020) [pubmed]

*4. Asada K, Kobayashi K, Joutard S, Tubaki M, Takahashi S, Takasawa K, Komatsu M, Kaneko S, Sese J, Hamamoto R: Uncovering Prognosis-related Genes and Pathways by Multi-omics Analysis in Lung Cancer. Biomolecules, 10, 524 (2020) [pubmed]

*5. Saloura V, Vougiouklakis T, Bao R, Kim S, Baek S, Zewde M, Bernard B, Burkitt K, Nigam N, Izumchenko E, Dohmae N, Hamamoto R, Nakamura Y: WHSC1 monomethylates histone H1 and induces stem-cell like features in squamous cell carcinoma of the head and neck. Neoplasia, 22, 283-293 (2020) [pubmed]

*6. Asada K, Bolatkan A, Takasawa K, Komatsu M, Kaneko S, Hamamoto R: Critical Roles of N⁶-Methyladenosine (m⁶A) in Cancer and Virus Infection. Biomolecules, 10, 1071 (2020) [pubmed]

*7. Jinnai S, Yamazaki N, Hirano Y, Sugawara Y, Ohe Y, Hamamoto R: The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning. Biomolecules, 10, 1123 (2020) [pubmed]

*8. Kobayashi K, Bolatkan A, Shiina S, Hamamoto R: Fully-Connected Neural Networks with Reduced Parameterization for Predicting Histological Types of Lung Cancer from Somatic Mutations. Biomolecules, 10, 1249 (2020) [pubmed]

*9. Kojima M, Sone K, Oda K, Hamamoto R, Kaneko S, Oki S, Kukita A, Kawata A, Honjoh H, Kawata Y, Kashiyama T, Sato M, Taguchi A, Miyamoto Y, Tanikawa M, Tsuruga T, Nagasaka K, Wada-Hiraike O, Osuga Y, Fujii T: The histone methyltransferase SMYD2 is a novel therapeutic target for the induction of apoptosis in ovarian clear cell carcinoma cells. Oncology Letters, 20, 153 (2020) [pubmed]

*10. Kageyama SI, Du J, Kaneko S, Hamamoto R, Yamaguchi S, Yamashita R, Okumura M, Motegi A, Hojo H, Nakamura M, Tsuchihara K, Akimoto T: Identification of the mutation signature of the cancer genome caused by irradiation. Radiotherapy and Oncology, 20, 155 (2020) [pubmed]

*11. Takahashi S, Asada K, Takasawa K, Shimoyama R, Sakai A, Bolatkan A, Shinkai N, Kobayashi K, Komatsu M, Kaneko S, Sese J, Hamamoto R: Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data. Biomolecules, 10, 1460 (2020) [pubmed]

*12. Dozen A, Komatsu M, Sakai A, Komatsu R, Shozu K, Machino H, Yasutomi S, Arakaki T, Asada K, Kaneko S, Matsuoka R, Aoki D, Sekizawa A, Hamamoto R: Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information. Biomolecules, 10, 1526 (2020) [pubmed]

*13. Papadaki V, Asada K, Watson JK, Tamura T, Leung A, Hopkins J, Dellett M, Sasai N, Davaapil H, Nik-Zainal S, Longbottom R, Nakakido M, Torii R, Veerakumarasivam A, Kaneko S, Sagoo MS, Murphy G, Mitani A, Tsumoto K, Kelly JD, Hamamoto R, Ohnuma SI: Two Secreted Proteoglycans, Activators of Urothelial Cell-Cell Adhesion, Negatively Contribute to Bladder Cancer Initiation and Progression. Cancers (Basel), 12, 3362 (2020) [pubmed]

*14. Hamamoto R, Suvarna K, Yamada M, Kobayashi K, Shinkai N, Miyake M, Takahashi M, Jinnai S, Shimoyama R, Sakai A, Takasawa K, Bolatkan A, Shozu K, Dozen A, Machino H, Takahashi S, Asada K, Komatsu M, Sese J, Kaneko S: Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine. Cancers (Basel), 12, 3532 (2020) [pubmed]

*15. Wada M, Kukita A, Sone K, Hamamoto R, Kaneko S, Komatsu M, Takahashi Y, Inoue F, Kojima M, Honjoh H, Taguchi A, Kashiyama T, Miyamoto Y, Tanikawa M, Tsuruga T, Mori-Uchino M, Wada-Hiraike O, Osuga Y, Fujii T: Epigenetic Modifier SETD8 as a Therapeutic Target for High-Grade Serous Ovarian Cancer. Biomolecules, 10, 1686 (2020) [pubmed]

*16. Shozu K, Komatsu M, Sakai A, Komatsu R, Dozen A, Machino H, Yasutomi S, Arakaki T, Asada K, Kaneko S, Matsuoka R, Nakashima A, Sekizawa A, Hamamoto R: Model-Agnostic Method for Thoracic Wall Segmentation in Fetal Ultrasound Videos. Biomolecules, 10, 1691 (2020) [pubmed]