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Nishimura, Midori Filiz Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences
Haratake, Tomoka Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences
Nishimura, Yoshito Department of General Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences ORCID publons researchmap
Nishikori, Asami Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences
Sumiyoshi, Remi The Research Program for Intractable Disease by Ministry of Health, Labor and Welfare, Castleman Disease, TAFRO and Related Ddisease Research Group
Ujiie, Hideki Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences
Kawahara, Yuri Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences
Koga, Tomohiro The Research Program for Intractable Disease by Ministry of Health, Labor and Welfare, Castleman Disease, TAFRO and Related Ddisease Research Group
Ueki, Masao School of Information and Data Sciences, Nagasaki University
Laczko, Dorottya Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania
Oksenhendler, Eric Department of Clinical Immunology, Hôpital Saint-Louis
Fajgenbaum, David C. Center for Cytokine Storm Treatment and Laboratory, Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania
van Rhee, Frits Myeloma Center, University of Arkansas for Medical Sciences
Kawakami, Atsushi The Research Program for Intractable Disease by Ministry of Health, Labor and Welfare, Castleman Disease, TAFRO and Related Ddisease Research Group
Sato, Yasuharu Department of Molecular Hematopathology, Okayama University Graduate School of Health Sciences ORCID Kaken ID researchmap
Abstract
Idiopathic multicentric Castleman disease (iMCD) is a rare lymphoproliferative disorder classified into three recognized clinical subtypes—idiopathic plasmacytic lymphadenopathy (IPL), TAFRO, and NOS. Although clinical criteria are available for subtyping, diagnostically challenging cases with overlapping histopathological features highlight the need for an improved classification system integrating clinical and histopathological findings. We aimed to develop an objective histopathological subtyping system for iMCD that closely correlates with the clinical subtypes. Excisional lymph node specimens from 94 Japanese iMCD patients (54 IPL, 28 TAFRO, 12 NOS) were analyzed for five key histopathological parameters: germinal center (GC) status, plasmacytosis, vascularity, hemosiderin deposition, and “whirlpool” vessel formation in GC. Using hierarchical clustering, we visualized subgroups and developed a machine learning-based decision tree to differentiate the clinical subtypes and validated it in an external cohort of 12 patients with iMCD. Hierarchical cluster analysis separated the IPL and TAFRO cases into mutually exclusive clusters, whereas the NOS cases were interspersed between them. Decision tree modeling identified plasmacytosis, vascularity, and whirlpool vessel formation as key features distinguishing IPL from TAFRO, achieving 91% and 92% accuracy in the training and test sets, respectively. External validation correctly classified all IPL and TAFRO cases, confirming the reproducibility of the system. Our histopathological classification system closely aligns with the clinical subtypes, offering a more precise approach to iMCD subtyping. It may enhance diagnostic accuracy, guide clinical decision-making for predicting treatment response in challenging cases, and improve patient selection for future research. Further validation of its versatility and clinical utility is required.
Keywords
clinical subtype
histopathological criteria
idiopathic multicentric castleman disease
lymphoproliferative disease
machine-learning
Published Date
2025-06-20
Publication Title
American Journal of Hematology
Publisher
Wiley
ISSN
0361-8609
NCID
AA00520673
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2025 The Author(s).
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isVersionOf https://doi.org/10.1002/ajh.27743
License
http://creativecommons.org/licenses/by/4.0/
Citation
M. F. Nishimura, T. Haratake, Y. Nishimura, et al., “ International Consensus Histopathological Criteria for Subtyping Idiopathic Multicentric Castleman Disease Based on Machine Learning Analysis,” American Journal of Hematology (2025): 1–11, https://doi.org/10.1002/ajh.27743.
助成情報
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23K14476: Idiopathic plasmacytic lymphadenopathyの病態解明へのアプローチ ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
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25K02476: 特発性多中心性キャッスルマン病:病態解明に向けた分子基盤、病理および臨床の統合 ( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
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