Haratake, Tomoka

ABSTRACTIdiopathic 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.

Introduction: Hyaline-vascular type unicentric Castleman disease (HV-UCD) is a classic variant of Castleman disease, characterized by localized lymph node hyperplasia. Due to its rarity, there have been few systematic reports summarizing its clinicopathological features globally. Also, its pathogenesis remains unelucidated. The present study aims to provide a detailed clinicopathological and transcriptomic analysis of HV-UCD to enhance the understanding of its underlying mechanisms at a molecular level. Methods: We conducted a clinicopathological analysis of 51 HV-UCD cases and performed whole transcriptome analysis on frozen lymph node specimens from four cases. Differentially expressed genes (DEGs) and Gene Ontology (GO) analyses were performed to identify significant pathways and biological processes involved in HV-UCD, with reactive lymphoid hyperplasia as control. Results: The mean age of HV-UCD patients was 42.8 years, with no significant gender differences. The most common sites involved were the abdominal cavity (n = 18, 35.3%), mediastinum (n = 11, 21.6%), and retroperitoneum (n = 9, 17.6%), with an average size of the lesions being 4.8 cm. Histologically, 33.3% of cases exhibited “dysplastic follicular dendritic cells (dFDCs)” characterized by multinucleation or large nuclei within and outside follicles, positive for follicular dendritic cells (FDC) markers. DEGs analysis compared to reactive lymphoid hyperplasia revealed significant upregulation of genes related to FDCs and angiogenesis. Notably, the placental growth factor (PGF), a proangiogenic factor and a member of the VEGF family, demonstrated significant overexpression. GO analysis identified significant enrichment of genes involved in angiogenesis, cell adhesion, tissue architecture, and humoral immunity. Discussion: This large cohort of HV-UCD cohort provides potentially novel clinicopathological insights. Gene expression analysis demonstrated increased expression of FDC-related genes, suggesting a pivotal role of FDCs in HV-UCD pathogenesis. The differences in the gene profiles related to angiogenesis may contribute to the distinct mechanisms and histological features of HV-UCD and iMCD-TAFRO, where HV-UCD is associated with hyalinization of vascular walls and iMCD-TAFRO is characterized by angiogenesis with endothelial cell swelling. Conclusion: The present results suggest the crucial role of FDCs in HV-UCD pathogenesis from the molecular features. Currently, there are no objective diagnostic markers for HV-UCD. Identifying these markers may lead to a clearer understanding of the disease pathophysiology and improve diagnostic accuracy for HV-UCD. Further investigation is warranted to verify the findings.