Research papers

[2017]

*1. Saloura V, Vougiouklakis T, Zewde M, Suzuki T, Dohmae N, Deng X, Kiyotani K, Park J-H, Matsuo Y, Lingen M, Hamamoto R, Nakamura Y: WHSC1L1-mediated EGFR mono-methylation enhances the cytoplasmic and nuclear oncogenic activity of EGFR. Scientific Reports, 7, 40664 (2017)

*2. Toyokawa G, Takada K, Okamoto T, Kozuma Y, Matsubara T, Haratake N, Akamine T, Takamori S, Katsura M, Shoji F, Hamamoto R, Oda Y, Maehara Y: Elevated metabolic activity on 18F-FDG PET/CT defines EZH2-expressing non-small cell lung cancer. Anticancer Research, 37, 1393-1401 (2017)

*3. Oki S, Sone K, Oda K, Hamamoto R, Ikemura M, Maeda D, Takeuchi M, Tanikawa M, Mori-Uchino M, Nagasaka K, Miyasaka A, Kashiyama T, Ikeda Y, Arimoto T, Kuramoto H, Wada-Hiraike O, Kawana K, Fukayama M, Osuga Y, Fujii T: Oncogenic histone methyltransferase EZH2: A novel prognostic marker with therapeutic potential in endometrial cancer. Oncotarget, 8, 40402-40411 (2017)

*4. Chiyoda T, Hart PC, Eckert MA, McGregor SM, Lastra RR, Hamamoto R, Nakamura Y, Yamada SD, Olopade OI, Lengyel E, Romero IL: Loss of BRCA1 in the cells of origin of ovarian cancer induces glycolysis: A window of opportunity for ovarian cancer chemoprevention. Cancer Prevention Research, 10, 255-266 (2017)

*5. Wang R, Deng X, Yoshioka Y, Vougiouklakis T, Park JH, Suzuki T, Dohmae N, Ueda K, Hamamoto R, Nakamura Y. Effects of SMYD2-mediated EML4-ALK methylation on the signaling pathway and growth in non-small-cell lung cancer cells. Cancer Science, 18時12分03-1209 (2017)

*6. Kunizaki M, Fukuda A, Wakata K, Tominaga T, Nonaka T, Miyazaki T, Matsumoto K, Sumida Y, Hidaka S, Yasutake T, Sawai T, Hamamoto R, Nanashima A, Nagayasu T. Clinical Significance of Serum p53 Antibody in the Early Detection and Poor Prognosis of Gastric Cancer. Anticancer Research, 37:1979-1984 (2017)

*7. Deng X, Hamamoto R, Vougiouklakis T, Wang R, Yoshioka Y, Suzuki T, Dohmae N, Matsuo Y, Park JH, Nakamura Y. Critical roles of SMYD2-mediated β-catenin methylation for nuclear translocation and activation of Wnt signaling. Oncotarget, 8時55分837-55847 (2017)

*8. Yoshioka Y, Suzuki T, Matsuo Y, Tsurita G, Watanabe T, Dohmae N, Nakamura Y, Hamamoto R. Protein lysine methyltransferase SMYD3 is involved in tumorigenesis through regulation of HER2 homodimerization. Cancer Medicine, 6時16分65-1672 (2017)

[2018]

*1. Piao L, Fujioka K, Nakakido M, Hamamoto R: Regulation of poly(ADP-Ribose) polymerase 1 functions by post-translational modifications. Frontiers in Bioscience, 23, 13-26 (2018)

*2. Kunizaki M, Tominaga T, Wakata K, Miyazaki T, Matsumoto K, Sumida Y, Hidaka S, Yamasaki T, Yasutake T, Sawai T, Hamamoto R, Nanashima A, Nagayasu T: Clinical significance of the C-reactive protein-to-albumin ratio for the prognosis of patients with esophageal squamous cell carcinoma. Molecular and Clinical Oncology, 8, 370-374 (2018)

*3. Kunizaki M, Hamasaki K, Wakata K, Tobinaga S, Sumida Y, Hidaka S, Yasutake T, Miyazaki T, Matsumoto K, Yamasaki T, Sawai T, Hamamoto R, Nanashima A, Nagayasu T: Clinical Value of Serum p53 Antibody in the Diagnosis and Prognosis of Esophageal Squamous. Anticancer Research, 38, 1807-1813 (2018)

*4. Toyokawa G, Takada K, Tagawa T, Kinoshita F, Kozuma Y, Matsubara T, Haratake N, Takamori S, Akamine T, Hirai F, Yamada Y, Hamamoto R, Oda Y, Maehara Y: Prevalence of Enhancer of Zeste Homolog 2 in Patients with Resected Small Cell Lung Cancer. Anticancer Research, 38, 3707-3711 (2018)

*5. Shigekawa Y, Hayami S, Ueno M, Miyamoto A, Suzaki N, Kawai M, Hirono S, Okada KI, Hamamoto R, Yamaue H.Overexpression of KDM5B/JARID1B is associated with poor prognosis in hepatocellular carcinoma. Oncotarget, 9, 34320-34335 (2018)

*6. Lee CH, Yu JR, Kumar S, Jin Y, LeRoy G, Bhanu N, Kaneko S, Garcia BA, Hamilton AD, Reinberg D: Allosteric Activation Dictates PRC2 Activity Independent of Its Recruitment to Chromatin. Molecular Cell, 70:422-434 (2018)

[2019]

*1. Toyokawa G, Takada K, Tagawa T, Hamamoto R, Yamada Y, Shimokawa M, Oda Y, Maehara Y: A positive correlation between the EZH2 and PD-L1 expression in resected lung adenocarcinoma. The Annals of Thoracic Surgery, 9, 34320-34335 (2019)

*2. Kim SK, Kim K, Ryu JW, Ryu TY, Lim JH, Oh JH, Min JK, Jung CR, Hamamoto R, Son MY, Kim DS, Cho HS: The novel prognostic marker, EHMT2, is involved in cell proliferation via HSPD1 regulation in breast cancer. International Journal of Oncology, 54, 65-76 (2019)

*3. Kukita A, Sone K, Oda K, Hamamoto R, Kaneko S, Komatsu M, Wada M, Honjoh H, Kawata Y, Kojima M, Oki S, Sato M, Asada K, Taguchi A, Miyasaka A, Tanikawa M, Nagasaka K, Matsumoto Y, Hiraike O, Osuga Y, Fujii T: Histone methyltransferase SMYD2 selective inhibitor LLY-507 in combination with poly ADP ribose polymerase inhibitor has therapeutic potential against high-grade serous ovarian carcinomas. Biochemical and Biophysical Research Communications, 513, 340-346 (2019)

*4. Kojima M, Sone K, Oda K, Hamamoto R, Kaneko S, Oki S, Kukita A, Machino H, Honjoh H, Kawata Y, Kashiyama T, Asada K, Tanikawa M, Mori-Uchino M, Tsuruga T, Nagasaka K, Matsumoto Y, Wada-Hiraike O, Osuga Y, Fujii T: The histone methyltransferase WHSC1 is regulated by EZH2 and is important for ovarian clear cell carcinoma cell proliferation. BMC Cancer, 19, 455 (2019)

*5. Kobayashi K, Murakami N, Takahashi K, Inaba K, Hamamoto R, Itami J: Local Radiotherapy or Chemotherapy for Oligo-recurrent Cervical Cancer in Patients With Prior Pelvic Irradiation. In Vivo, 33, 1659-1665 (2019)

*6. Matsuno Y, Atsumi Y, Shimizu A, Katayama K, Fujimori H, Hyodo M, Minakawa Y, Nakatsu Y, Kaneko S, Hamamoto R, Shimamura T, Miyano S, Tsuzuki T, Hanaoka F, Yoshioka KI: Replication stress triggers microsatellite destabilization and hypermutation leading to clonal expansion in vitro. Nature Communications, 10, 3925 (2019)

*7. Yamada M, Saito Y, Imaoka H, Saiko M, Yamada S, Kondo H, Takamaru H, Sakamoto T, Sese J, Kuchiba A, Shibata T, Hamamoto R: Development of a Real-Time Endoscopic Image Diagnosis Support System Using Deep Learning Technology in Colonoscopy. Scientific Reports, 9, 14465 (2019)

*8. Kobayashi K, Murakami N, Takahashi K, Inaba K, Igaki H, Hamamoto R, Itami J: A Population-based Statistical Model for Investigating Heterogeneous Intraprostatic Sensitivity to Radiation Toxicity After 125I Seed Implantation. In Vivo, 33, 2103-2111 (2019)

*9. Kim S, Bolatkan A, Kaneko S, Ikawa N, Asada K, Komatsu M, Hayami S, Ojima H, Abe N, Yamaue H, Hamamoto R: Deregulation of the histone lysine specific demethylase 1 is involved in human hepatocellular carcinoma. Biomolecules, 9, 810 (2019)

[2020]

*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)

*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)

*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)

*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)

*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)

[2021]

*1. Hamamoto R: Application of Artificial Intelligence for Medical Research. Biomolecules, 11, 90 (2021)

*2. Komatsu M, Sakai A, Komatsu R, Matsuoka R, Yasutomi S, Shozu K, Dozen A, Machino H, Hidaka H, Arakaki T, Asada K, Kaneko S, Sekizawa A, Hamamoto R: Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning. Applied Sciences, 11, 371 (2021) 

*3. Yasutomi S, Arakaki T, Matsuoka R, Sakai A, Komatsu R, Shozu K, Dozen A, Machino H, Asada K, Kaneko S, Dozen A, Machino H, Asada K, Kaneko S, Sekizawa A, Hamamoto R, Komatsu M: Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows. Applied Sciences, 11, 1127 (2021)

*4. Kobayashi K, Hamamoto R, Itami J: Tensor regression-based model to investigate heterogeneous spatial radiosensitivity after I-125 seed implantation for prostate cancer. In Vivo, 35, 489-497 (2021)

*5. Ozawa T, Kaneko S, Szulzewsky F, Qiao Z, Takadera M, Narita Y, Kondo T, Holland EC, Hamamot R, Ichimura K: C11orf95-RELA fusion drives aberrant gene expression through the unique epigenetic regulation for ependymoma formation. Acta Neuropathologica Communications, 9, 36 (2021)

*6. Takayanagi D, Hirose S, Kuno I, Asami Y, Murakami N, Matsuda M, Shimada Y, Sunami K, Komatsu M, Hamamoto R, Kobayashi-Kato M, Matsumoto K, Kohno T, Kato T, Shiraishi K, Yoshida H: Comparative Analysis of Genetic Alterations, HPV-Status, and PD-L1 Expression in Neuroendocrine Carcinomas of the Cervix. Cancers (Basel), 13, 1215 (2021)

*7. Takahashi S, Takahashi M, Kinoshita M, Miyake M, Kawaguchi R, Shinojima N, Mukasa A, Saito K, Nagane M, Otani R, Higuchi F, Tanaka S, Hata N, Tamura K, Tateishi K, Nishikawa R, Arita H, Nonaka M, Uda T, Fukai J, Okita Y, Tsuyuguchi N, Kanemura Y, Kobayashi K, Sese J, Ichimura k, Narita Y, Hamamoto R: Fine-Tuning Approach for Segmentation of Gliomas in Brain Magnetic Resonance Images with a Machine Learning Method to Normalize Image Differences among Facilities. Cancers (Basel), 13, 1415 (2021)

*8. Takahashi S, Takahashi M, Tanaka S, Takayanagi S, Takami H, Yamazawa E, Nambu S, Miyake M, Satomi K, Ichimura K, Narita Y, Hamamoto R: A New Era of Neuro-Oncology Research Pioneered by Multi-Omics Analysis and Machine Learning. Biomolecules, in press