Shogo Miura
Sapporo Medical University
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Publication
Featured researches published by Shogo Miura.
Oncotarget | 2016
Michihiro Ono; Rishu Takimoto; Takahiro Osuga; Yutaka Okagawa; Masahiro Hirakawa; Makoto Yoshida; Yohei Arihara; Naoki Uemura; Naoki Hayasaka; Shogo Miura; Matsuno T; Fumito Tamura; Yasushi Sato; Tsutomu Sato; Satoshi Iyama; Koji Miyanishi; Kohichi Takada; Masayoshi Kobune; Junji Kato
Complete remission by induction therapy in acute myelogenous leukemia (AML) can be achieved due to improvements in supportive and optimized therapy. However, more than 20% of patients will still need to undergo salvage therapy, and most will have a poor prognosis. Determining the specificity of drugs to leukemia cells is important since this will maximize the dose of chemotherapeutic agents that can be administered to AML patients. In turn, this would be expected to lead to reduced drug toxicity and its increased efficacy. We targeted Notch-1 positive AML cells utilizing fucose-bound liposomes, since activation of Notch-1 is required for O-fucosylation. Herein, we report that intravenously injected, L-fucose-bound liposomes containing daunorubicin can be successfully delivered to AML cells that express fucosylated antigens. This resulted in efficient tumor growth inhibition in tumor-bearing mice and decreased proliferation of AML patient-derived leukemia cells. Thus, biological targeting by fucose-bound liposomes that takes advantage of the intrinsic characteristics of AML cells could be a promising new strategy for Notch-1 positive-AML treatment.
Oncotarget | 2018
Soushi Ibata; Masayoshi Kobune; Shohei Kikuchi; Masahiro Yoshida; Shogo Miura; Hiroto Horiguchi; Kazuyuki Murase; Satoshi Iyama; Kohichi Takada; Koji Miyanishi; Junji Kato
Recent advances in plasma cell biology and molecularly-targeted therapy enable us to employ various types of drugs including immunomodulatory drugs, proteasome inhibitors, and immunotherapy. However, the optimal therapeutic strategies to introduce these drugs for heterogeneous patients with multiple myeloma (MM) have not yet been clarified. In the present study, we attempted to identify a new factor indicating poor prognosis in CD138+ myeloma cells using accumulated Gene Expression Omnibus (GEO) datasets from studies of MM and to assess the relationship between gene expression and survival using MAQC-II Project Myeloma (GSE24080). Five GEO datasets (GSE5900, GSE58133, GSE68871, GSE57317 and GSE16791) which were analyzed by the same microarray platform (GLP570) were combined into one MM database including various types of MM. However, we found that gene expression levels were quite heterogeneous. Hence, we focused on the differentially-expressed genes (DEGs) between newly-diagnosed MM and relapsed/refractory MM and found that the expression levels of more than 20 genes changed two-fold or more. Additionally, pathway analysis indicated that six pathways including Hippo signaling were significantly enriched. Then, we applied all DEGs and genes associated with core enrichment for GSE24080 to evaluate their involvement in disease prognosis. We found that nucleoporin 133 (NUP133) is an independent poor prognostic factor by Cox proportional hazard analysis. These results suggested that high expression of NUP133 could be useful when choosing the appropriate MM therapy and may be a new target of MM therapy.
Gan to kagaku ryoho. Cancer & chemotherapy | 2013
Kuroda H; Jomen W; Shogo Miura; Yohei Arihara; Yamada M; Hirako T; Abe T; Sakurai T; Fujii S; Maeda M; Fujita M; Nagashima K; Yutaka Okagawa; Hoki T; Junji Kato
Gan to kagaku ryoho. Cancer & chemotherapy | 2013
Yamada M; Kuroda H; Jomen W; Makoto Yoshida; Shogo Miura; Abe T; Sakurai T; Fujii S; Maeda M; Fujita M; Nagashima K; Yohei Arihara; Hirako T; Junji Kato
Gan To Kagaku Ryoho | 2017
Shogo Miura; Hiroyuki Kuroda; Yamada M; Ken Sato; Saki Ameda; Hiroya Sakano; Takanori Shibata; Naoki Uemura; Tomoyuki Abe; Fujii S; Masahiro Maeda; Masayoshi Kobune; Junji Kato
Gan to kagaku ryoho. Cancer & chemotherapy | 2016
Kazuyuki Murase; Takada K; Yusuke Kamihara; Makoto Usami; Yoshida M; Ayumi Tatekoshi; Akari Hashimoto; Yohei Arihara; Naotaka Hayasaka; Shogo Miura; Satoshi Iyama; Tsutomu Sato; Yasushi Sato; Koji Miyanishi; Masayoshi Kobune; Emori M; Kaya M; Toshiharu Yamashita; Shintaro Sugita; Tadashi Hasegawa; Junji Kato
Blood | 2016
Shogo Miura; Masayoshi Kobune; Soushi Ibata; Yoshida M; Satoshi Iyama; Tsutomu Sato; Kazuyuki Murase; Kohichi Takada; Kaoru Ono; Akari Hashimoto; Ayumi Tatekoshi; Yusuke Kamihara; Yusuke Sugama; Wataru Jomen; Shohei Kikuchi; Hiroshi Ikeda; Hiroto Horiguchi; Yutaka Kawano; Koji Miyanishi; Hiroyuki Kuroda; Masahiro Maeda; Junji Kato
Annals of Oncology | 2016
Yohei Arihara; Kazuyuki Murase; Kohichi Takada; Naotaka Hayasaka; Shogo Miura; Koji Miyanishi; Masayoshi Kobune; Makoto Kurose; Yukinori Akiyama; Junji Kato
Annals of Oncology | 2016
Shogo Miura; Hiroyuki Kuroda; Yamada M; Ken Sato; Hiroto Horiguchi; Takanori Shibata; Naoki Uemura; Tomoyuki Abe; Fujii S; Masahiro Maeda; Junji Kato
Annals of Oncology | 2016
Ken Sato; Hiroyuki Kuroda; Shogo Miura; Hiroto Horiguchi; Takanori Shibata; Naoki Uemura; Tomoyuki Abe; Fujii S; Masahiro Maeda; Junji Kato