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Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups.

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Title: Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups.
Authors: Fuji S; Department of Hematology, Osaka International Cancer Institute, 3-1-69, Otemae, Chuo-ku, Osaka-shi, Osaka, 5418567, Japan. fujishige1231@gmail.com., Tokunaga M; Department of Hematology, Imamura General Hospital, Kagoshima, Japan., Utsunomiya A; Department of Hematology, Imamura General Hospital, Kagoshima, Japan., Makiyama J; Department of Hematology, Sasebo City General Hospital, Nagasaki, Japan., Suehiro Y; Department of Hematology and Cell Therapy, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan., Koh KR; Department of Hematology, Osaka General Hospital of West Japan Railway Company, Osaka, Japan., Nakashima M; Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.; Department of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan., Yamano Y; Department of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan., Uchimaru K; Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan.
Source: Annals of hematology [Ann Hematol] 2025 Apr; Vol. 104 (4), pp. 2429-2436. Date of Electronic Publication: 2025 Mar 25.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9107334 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0584 (Electronic) Linking ISSN: 09395555 NLM ISO Abbreviation: Ann Hematol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1432-0584
DOI:10.1007/s00277-025-06319-9