Evidence map›Paper›PMID 40253346›Full record

ArticleJournal of translational medicine2025

Spatial transcriptomics study of Castleman disease.

Yanfang Chen, Zhe Zhang, Ling Li, Mingzhi Zhang, Zhaoming Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanfang Chen *Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Zhe Zhang *Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Ling LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Mingzhi ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Zhaoming LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. fcclizm@zzu.edu.cn.ORCID 0000-0002-3274-2864

Funding

First Affiliated Hospital of Zhengzhou University QNCXTD2023012Henan Province Youth Health Science and Technology Innovation Project LJRC2023014National Natural Science Foundation of China 81970184National Natural Science Foundation of China 82070209National Natural Science Foundation of China 82170183National Natural Science Foundation of China U1904139Natural Science Foundation of Henan 242300421019
6 · The paper itself

Abstract

backgroundCastleman 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.

methodsSpatial transcriptomics was performed on FFPE samples from lymph nodes of three CD patients with different histologic types and one normal lymph node.

resultsThe 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.

conclusionsThrough 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.

Indexed as

Castleman DiseaseGene Expression ProfilingTranscriptomeAdultCluster AnalysisFemaleHumansLymph NodesMaleMiddle AgedCastleman diseaseHeterogeneityLesion cellsPathogenesisSpatial transcriptome

Identifiers

PMID40253346
PMCPMC12009523

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.