Rchr
J-GLOBAL ID：201601010729843198
Update date: May. 10, 2024
Onuki Ritsuko
オヌキリツコ | Onuki Ritsuko
Affiliation and department：
Research field (2)：
Systems genomics
, Statistical science
Research keywords (1)：
Bioinformatics
Papers (10)：
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HIROTAKA FUCHIZAWA, KIYOHIRO ANDO, NORIKO MOTOI, TOSHIHIKO IIZUKA, MASAHARU INOUE, KOUKI MITANI, YUTA SANO, HISANORI TAKENOBU, MASAYUKI HARUTA, RITSUKO ONUKI, et al. STAT3 Contributes a Favorable Response to Pembrolizumab Through IFN-γ-induced Apoptosis in Urothelial Cancer. Anticancer Research. 2024. 44. 5. 1925-1930
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Kiyohiro Ando, Ryo Kurashina, Noriko Motoi, Toshihiko Iizuka, Masaharu Inoue, Riko Maruyama, Kouki Mitani, Hisanori Takenobu, Masayuki Haruta, Ritsuko Onuki, et al. Positive regulatory loop of platelet-derived growth factor DD-induced STAT3 activation is associated with poor prognosis in advanced urothelial carcinoma. Biochemical and Biophysical Research Communications. 2023. 676. 165-170
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RYO KURASHINA, KIYOHIRO ANDO, MASAHARU INOUE, RIKO MARUYAMA, KOUKI MITANI, HISANORI TAKENOBU, MASAYUKI HARUTA, RITSUKO ONUKI, YOH MATSUOKA, TAKEHIKO KAMIJO, et al. Pretreatment Hemoglobin Levels and Platelet-to-Lymphocyte Ratio Predict Survival Benefit from Pembrolizumab in Advanced Urothelial Carcinoma. Cancer Diagnosis & Prognosis. 2023. 3. 2. 230-235
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Motoo Nagane, Koichi Ichimura, Ritsuko Onuki, Daichi Narushima, Mai Honda-Kitahara, Kaishi Satomi, Arata Tomiyama, Yasuhito Arai, Tatsuhiro Shibata, Yoshitaka Narita, et al. Bevacizumab beyond Progression for Newly Diagnosed Glioblastoma (BIOMARK): Phase II Safety, Efficacy and Biomarker Study. Cancers. 2022. 14. 5522
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Kotoe Oshima, Ken Kato, Yoshinori Ito, Hiroyuki Daiko, Isao Nozaki, Satoru Nakagawa, Yuichi Shibuya, Takashi Kojima, Yasushi Toh, Morihito Okada, et al. A prognostic biomarker study in patients with clinical stage I esophageal squamous cell carcinoma: JCOG0502-A1. Cancer Science. 2021. 113. 3. 1018-1027
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MISC (10)：
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Ritsuko Onuki, Miki Ohira, Takehiko Kamijo. Development of Cancer Mutation Visualization Tools for Large Samples. The 82nd Annual Meeting of the Japan Cancer Association. 2023
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Ritsuko Onuki. Informatics in Cancer Genome Research. Informatics in Biology, Medicine and Pharmacology 2023. 2023
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Ritsuko Onuki, Eisaku Furukawa, Hanako Ono, Momoko Nagai, Daichi Narushima, Mamoru Kato. Deep Learning for mutation detection in cancer genome medicine. The 81st Annual Meeting of the Japanese Cancer Association. 2022
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Dissecting intratumoral heterogeneity of central nervous system non-germinomatous germ cell tumors by snRNA-seq. 2021
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Tomoyuki Nakano, Yuko Matsushita, Ritsuko Onuki, Daisuke Shiokawa, Kiyomi Imamura, Terumi Horiuchi, Eita Uchida, Yui Kimura, Satoshi Ihara, Tomonari Suzuki, et al. DISSECTING INTRATUMORAL HETEROGENEITY OF CENTRAL NERVOUS SYSTEM GERM CELL TUMORS BY SINGLE-CELL RNA-SEQUENCING. NEURO-ONCOLOGY. 2020. 22. 340-341
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Professional career (1)：
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