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. |
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| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40133631 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Fuji+S%22">Fuji S</searchLink>; Department of Hematology, Osaka International Cancer Institute, 3-1-69, Otemae, Chuo-ku, Osaka-shi, Osaka, 5418567, Japan. fujishige1231@gmail.com.<br /><searchLink fieldCode="AU" term="%22Tokunaga+M%22">Tokunaga M</searchLink>; Department of Hematology, Imamura General Hospital, Kagoshima, Japan.<br /><searchLink fieldCode="AU" term="%22Utsunomiya+A%22">Utsunomiya A</searchLink>; Department of Hematology, Imamura General Hospital, Kagoshima, Japan.<br /><searchLink fieldCode="AU" term="%22Makiyama+J%22">Makiyama J</searchLink>; Department of Hematology, Sasebo City General Hospital, Nagasaki, Japan.<br /><searchLink fieldCode="AU" term="%22Suehiro+Y%22">Suehiro Y</searchLink>; Department of Hematology and Cell Therapy, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.<br /><searchLink fieldCode="AU" term="%22Koh+KR%22">Koh KR</searchLink>; Department of Hematology, Osaka General Hospital of West Japan Railway Company, Osaka, Japan.<br /><searchLink fieldCode="AU" term="%22Nakashima+M%22">Nakashima M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Yamano+Y%22">Yamano Y</searchLink>; Department of Neurology, St. Marianna University School of Medicine, Kanagawa, Japan.<br /><searchLink fieldCode="AU" term="%22Uchimaru+K%22">Uchimaru K</searchLink>; Laboratory of Tumor Cell Biology, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229107334%22">Annals of hematology</searchLink> [Ann Hematol] 2025 Apr; Vol. 104 (4), pp. 2429-2436. <i>Date of Electronic Publication: </i>2025 Mar 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9107334 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-0584 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209395555%22">09395555 </searchLink><i>NLM ISO Abbreviation: </i>Ann Hematol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40133631 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00277-025-06319-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2429 Titles: – TitleFull: Improving outcome prediction in indolent ATL by subdividing intermediate risk into low- and high-intermediate groups. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fuji S – PersonEntity: Name: NameFull: Tokunaga M – PersonEntity: Name: NameFull: Utsunomiya A – PersonEntity: Name: NameFull: Makiyama J – PersonEntity: Name: NameFull: Suehiro Y – PersonEntity: Name: NameFull: Koh KR – PersonEntity: Name: NameFull: Nakashima M – PersonEntity: Name: NameFull: Yamano Y – PersonEntity: Name: NameFull: Uchimaru K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Apr Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1432-0584 Numbering: – Type: volume Value: 104 – Type: issue Value: 4 Titles: – TitleFull: Annals of hematology Type: main |
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