Zobrazeno 1 - 10
of 808
pro vyhledávání: '"Koichi, Ohshima"'
Autor:
Junji Koya, Tomohiko Tanigawa, Kota Mizuno, Haryoon Kim, Yuta Ito, Mitsuhiro Yuasa, Kentaro Yamaguchi, Yasunori Kogure, Yuki Saito, Sumito Shingaki, Mariko Tabata, Koichi Murakami, Kenichi Chiba, Ai Okada, Yuichi Shiraishi, Amira Marouf, Raphaël Liévin, Sammara Chaubard, Arnaud Jaccard, Olivier Hermine, Laurence de Leval, Olivier Tournilhac, Gandhi Damaj, Philippe Gaulard, Lucile Couronné, Teruhito Yasui, Kazutaka Nakashima, Hiroaki Miyoshi, Koichi Ohshima, Keisuke Kataoka
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Extranodal NK/T-cell lymphoma (ENKTCL) is an Epstein-Barr virus (EBV)-related neoplasm preferentially involving the upper aerodigestive tract. Here we show that NK-cell-specific Trp53 disruption in mice leads to the development of NK-cell ly
Externí odkaz:
https://doaj.org/article/68fc246b7ff6480fbf1db57d7aa345f7
Autor:
Satoshi Yamasaki, Hiroatsu Iida, Akio Saito, Morio Matsumoto, Yoshiaki Kuroda, Tohru Izumi, Akiko M. Saito, Hiroaki Miyoshi, Koichi Ohshima, Hirokazu Nagai, Hiromi Iwasaki
Publikováno v:
Hematology Reports, Vol 16, Iss 2, Pp 336-346 (2024)
Romidepsin is an important therapeutic option for patients with peripheral T-cell lymphoma (PTCL). However, the timing of romidepsin administration remains controversial. The objective of this study was to characterize the safety and efficacy of romi
Externí odkaz:
https://doaj.org/article/5dc4c27699d24b06ab94ab4efa6a4af8
Autor:
Noriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, Miharu Nagaishi, Kensaku Sato, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi
Publikováno v:
Journal of Pathology Informatics, Vol 15, Iss , Pp 100359- (2024)
In this study, we present a deep-learning-based multimodal classification method for lymphoma diagnosis in digital pathology, which utilizes a whole slide image (WSI) as the primary image data and flow cytometry (FCM) data as auxiliary information. I
Externí odkaz:
https://doaj.org/article/9d5f8550a204454c965758cbe4462f42
Autor:
Reiji Muto, Hiroaki Miyoshi, Kazutaka Nakashima, Mai Takeuchi, Makoto Hamasaki, Koichi Ohshima
Publikováno v:
Cancer Medicine, Vol 13, Iss 6, Pp n/a-n/a (2024)
Abstract Aims T‐follicular helper (TFH) cells are effector T‐cells that are crucial for B‐cell selection and differentiation. T‐cell lymphomas derived from TFH cells have distinct characteristics. Additionally, in the World Health Organizatio
Externí odkaz:
https://doaj.org/article/229c9be895644da5b37014378a78e88c
Autor:
Airi Miki, Masaru Tani, Kenji Tsutsui, Teppei Wakita, Yuki Horibe, Yoichi Kakuta, Koichi Tsutahara, Jun Ishiko, Kyohei Yamada, Hiroaki Miyoshi, Koichi Ohshima, Tetsuya Takao
Publikováno v:
IJU Case Reports, Vol 7, Iss 1, Pp 11-13 (2024)
Introduction Renal involvement by non‐Hodgkin's lymphoma is very rare, and the kidney as the primary site of this lymphoma is much more uncommon. We report a case of primary renal peripheral T‐cell lymphoma, not otherwise specified, treated with
Externí odkaz:
https://doaj.org/article/fb7c017986e341a391db526612a24594
Autor:
Ken Tanaka, Hiroaki Miyoshi, Yusuke Yamashita, Ryuta Iwamoto, Yuma Yokoya, Yuichi Tochino, Fumiko Arakawa, Shinobu Tamura, Shin-Ichi Murata, Takashi Sonoki, Koichi Ohshima
Publikováno v:
Hematology Reports, Vol 15, Iss 4, Pp 662-669 (2023)
We report a case of a 24-year-old man who developed angioimmunoblastic T-cell lymphoma (AITL) after treatment for refractory lymphocyte-rich classic Hodgkin lymphoma (LR-CHL). This patient was treated with the BV+AVD (brentuximab vedotin, doxorubicin
Externí odkaz:
https://doaj.org/article/4012cc9982094fbcac92fe7a8036bffe
Autor:
Yasumasa Shimasaki, Hiroaki Miyoshi, Keisuke Kawamoto, Noriaki Yoshida, Tatsuzo Mishina, Kazutaka Nakashima, Teppei Imamoto, Takeshi Sugio, Eriko Yanagida, Takeharu Kato, Kyohei Yamada, Mai Takeuchi, Takaharu Suzuki, Mayuko Moritsubo, Takuya Furuta, Yoshitaka Imaizumi, Jun Takizawa, Koji Kato, Junji Suzumiya, Ritsuro Suzuki, Koichi Ohshima
Publikováno v:
Cancer Medicine, Vol 13, Iss 3, Pp n/a-n/a (2024)
Abstract Aim Peripheral T‐cell lymphoma not otherwise specified (PTCL‐NOS) is a heterogeneous disease that can be classified into the PTCL‐TBX21 and PTCL‐GATA3 subtypes. Methods In this study, we compared the clinicopathological features of P
Externí odkaz:
https://doaj.org/article/9754c08ddfa14711831af32841f71aac
Autor:
Mai Takeuchi, Hiroaki Miyoshi, Yuichiro Semba, Kyohei Yamada, Kazutaka Nakashima, Kensaku Sato, Takuya Furuta, Mayuko Moritsubo, Yusuke Ogura, Ken Tanaka, Teppei Imamoto, Fumiko Arakawa, Kei Kohno, Koichi Ohshima
Publikováno v:
Haematologica, Vol 108, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/474443e71aba4f1d80bedd92934284b7
Autor:
Takuro Kameda, Keisuke Kataoka, Ayako Kamiunten, Michihiro Hidaka, Hiroaki Miyoshi, Nobuaki Nakano, Kisato Nosaka, Makoto Yoshimitsu, Jun-ichirou Yasunaga, Yasunori Kogure, Kotaro Shide, Masaharu Miyahara, Takashi Sakamoto, Keiichi Akizuki, Tomonori Hidaka, Yoko Kubuki, Junji Koya, Noriaki Kawano, Kiyoshi Yamashita, Hiroshi Kawano, Takanori Toyama, Kouichi Maeda, Kosuke Marutsuka, Yoshitaka Imaizumi, Koji Kato, Takeshi Sugio, Masahito Tokunaga, Yukie Tashiro, Akifumi Takaori-Kondo, Yasushi Miyazaki, Koichi Akashi, Kenji Ishitsuka, Masao Matsuoka, Koichi Ohshima, Toshiki Watanabe, Akira Kitanaka, Atae Utsunomiya, Seishi Ogawa, Kazuya Shimoda
Publikováno v:
Haematologica, Vol 108, Iss 8 (2023)
The prognosis of aggressive adult T-cell leukemia/lymphoma (ATL) is poor, and allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative treatment. In order to identify favorable prognostic patients after intensive chemotherapy, and
Externí odkaz:
https://doaj.org/article/a7eec3d00c7d4059bd11e5e0d629a998
Autor:
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100185- (2023)
In medical image diagnosis, identifying the attention region, i.e., the region of interest for which the diagnosis is made, is an important task. Various methods have been developed to automatically identify target regions from given medical images.
Externí odkaz:
https://doaj.org/article/e82724fcd913481b9932018f65ea5324