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Updated: Jun 29, 2026

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
Spatial transcriptomics study of Castleman disease
Yanfang Chen1, Zhe Zhang2, Ling Li1
1Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Background:
Castleman Disease (CD) is a rare lymphoproliferative disorder of uncertain etiology, primarily characterized by painless lymphadenopathy. To further understand the possible pathogenesis of the disease, we utilized spatial transcriptomics to explore CD.
Methods:
Spatial transcriptomics was performed on FFPE samples from lymph nodes of three CD patients with different histologic types and one normal lymph node.
Results:
The sample was categorized by analysis into 14 clusters, including B cells, plasma cells, BECs, LECs, CD4 + T cells, CD8 + T cells, macrophages, monocytes, cycling cells, myofibroblasts, mDCs, NKCs, Tfh and NESCs. Our study showed that the lesion cells of CD might be B cells. In addition to this, we found that mesenchymal cells, especially myofibroblasts, play an important role in disease progression and there was a large heterogeneity of cellular communication between cell clusters in different histologic types of CD.
Conclusions:
Through this study we have gained a better understanding of the pathogenesis of CD. It provides new ideas for the subsequent exploration of CD and directions for the development of new clinical drugs.
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