S
Satoru Miyano
Researcher at Tokyo Medical and Dental University
Publications - 874
Citations - 45801
Satoru Miyano is an academic researcher from Tokyo Medical and Dental University. The author has contributed to research in topics: Gene & Gene regulatory network. The author has an hindex of 84, co-authored 811 publications receiving 38723 citations. Previous affiliations of Satoru Miyano include University of Paderborn & Institute of Medical Science.
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Journal ArticleDOI
Prognostic relevance of genetic alterations in diffuse lower-grade gliomas.
Kosuke Aoki,Kosuke Aoki,Hideo Nakamura,Hiromichi Suzuki,Hiromichi Suzuki,Keitaro Matsuo,Keisuke Kataoka,Teppei Shimamura,Kazuya Motomura,Fumiharu Ohka,Satoshi Shiina,Takashi Yamamoto,Yasunobu Nagata,Tetsuichi Yoshizato,Tetsuichi Yoshizato,Masahiro Mizoguchi,Tatsuya Abe,Yasutomo Momii,Yoshihiro Muragaki,Reiko Watanabe,Ichiro Ito,Masashi Sanada,Hironori Yajima,Naoya Morita,Ichiro Takeuchi,Ichiro Takeuchi,Satoru Miyano,Toshihiko Wakabayashi,Seishi Ogawa,Atsushi Natsume +29 more
TL;DR: Subtype-specific genetic lesions can be used to stratify patients within each LGG subtype, enabling better prognostication and management.
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Comprehensive analysis of genetic alterations and their prognostic impacts in adult acute myeloid leukemia patients.
Rika Kihara,Yasunobu Nagata,Hitoshi Kiyoi,Tomonori Kato,E Yamamoto,Kyogo Suzuki,Fangli Chen,Norio Asou,Shigeki Ohtake,S Miyawaki,Yasuhiko Miyazaki,Toru Sakura,Yukiyasu Ozawa,Noriko Usui,Heiwa Kanamori,Toru Kiguchi,K Imai,Naokuni Uike,Fumihiko Kimura,Kunio Kitamura,Chiaki Nakaseko,M Onizuka,Akihiro Takeshita,Fumihiro Ishida,Hitoshi Suzushima,Y Kato,Hiroshi Miwa,Yuichi Shiraishi,Kenichi Chiba,Hirokazu Tanaka,Satoru Miyano,Seishi Ogawa,Tomoki Naoe +32 more
TL;DR: Results indicate that the prognosis of AML could be stratified by the major mutation status in combination with cytogenetics, and that AML patients could be clearly stratified into five risk groups for overall survival by including the mutation status of DNMT3A, MLL-PTD and TP53 genes in the risk classification system of the European LeukemiaNet.
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Exome sequencing identifies secondary mutations of SETBP1 and JAK3 in juvenile myelomonocytic leukemia
Hirotoshi Sakaguchi,Yusuke Okuno,Hideki Muramatsu,Kenichi Yoshida,Yuichi Shiraishi,Mariko Takahashi,Ayana Kon,Masashi Sanada,Masashi Sanada,Kenichi Chiba,Hiroko Tanaka,Hideki Makishima,Xinan Wang,Yinyan Xu,Sayoko Doisaki,Asahito Hama,Koji Nakanishi,Yoshiyuki Takahashi,Nao Yoshida,Jaroslaw P. Maciejewski,Satoru Miyano,Seishi Ogawa,Seishi Ogawa,Seiji Kojima +23 more
TL;DR: JMML was characterized by a paucity of gene mutations with somatic or germline RAS pathway involvement in 82 cases, and the SETBP1 and JAK3 genes were among common targets for secondary mutations.
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Estimating gene networks from gene expression data by combining Bayesian network model with promoter element detection.
Yoshinori Tamada,Sun Yong Kim,Hideo Bannai,Seiya Imoto,Kousuke Tashiro,Satoru Kuhara,Satoru Miyano +6 more
TL;DR: A statistical method for estimating gene networks and detecting promoter elements simultaneously, which detects consensus motifs based on the structure of the estimated network and re-estimates the network using the result of the motif detection until the network becomes stable.
Journal ArticleDOI
Combining microarrays and biological knowledge for estimating gene networks via bayesian networks.
TL;DR: This work proposes a statistical method for estimating a gene network based on Bayesian networks from microarray gene expression data together with biological knowledge including protein-protein interactions, protein-DNA interactions, binding site information, existing literature and so on.