Evidence map›Paper›PMID 40524208›Full record

ArticleJournal of translational medicine2025

Integrative analysis of bulk and single-cell gene expression profiles to identify bone marrow mesenchymal cell heterogeneity and prognostic significance in multiple myeloma.

Fei-Er Ju, Bei-Hui Huang, Hao Wu, Bo Zou, Shu-Na Chen, Xiao-Yan Sang, Wei-Yao Liang, Zi-Xuan Liu, Zi-Xuan Zhang, Zi-Yi Yang and 12 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

22 authors.

Fei-Er Ju *Department of Hematology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0003-3668-7388
Bei-Hui Huang *Department of Hematology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. hbhui@mail.sysu.edu.cn.
Hao Wu *Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Bo ZouShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Shu-Na ChenShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Xiao-Yan SangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Wei-Yao LiangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Zi-Xuan LiuShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Zi-Xuan ZhangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Zi-Yi YangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Yan-Ting LiangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Yue-Lan LiangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Huan LiuCancer Research Center, School of Medicine, Xiamen University, Xiamen, 361102, China.
Zhao-Xia DongShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Xue-Qi LiuShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Li-Yuan ZhengDongguan Key Laboratory of Medical Bioactive Molecular Developmental and Translational Research, Guangdong Provincial Key Laboratory of Medical Immunology and Molecular Diagnostics, Guangdong Medical University, Dongguan, China.
Jin-Cheng ZengDongguan Key Laboratory of Medical Bioactive Molecular Developmental and Translational Research, Guangdong Provincial Key Laboratory of Medical Immunology and Molecular Diagnostics, Guangdong Medical University, Dongguan, China.
Jin-Heng WangGuangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China.
Lin QiShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China.
Xing-Ding ZhangShenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Sun Yat-Sen University, Shenzhen, China. zhangxd39@mail.sysu.edu.cn.
Yongjiang ZhengDepartment of Hematology, Institute of Hematology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. zhengyj5@mail.sysu.edu.cn.
Juan LiDepartment of Hematology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. ljuan@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 32100563National Natural Science Foundation of China 32170789National Natural Science Foundation of China 82070220National Natural Science Foundation of China 82270209
6 · The paper itself

Abstract

backgroundMultiple myeloma is a hematologic malignancy characterized by complex interactions within the tumor microenvironment, where mesenchymal stem cells (MSCs) contribute significantly to disease progression, immune suppression, and drug resistance.

methodsThis study investigated the heterogeneity of MSCs in multiple myeloma using single-cell RNA sequencing (10X) and bulk transcriptomic data. Further analysis was performed by Seurat, SCENIC, CellChat. GSE4581 and GSE136337 were used as training set and validation set to construct a newly described prognostic model through COX and LASSO.

resultsBy analyzing bone marrow samples from healthy donors and multiple myeloma patients at different Revised International Staging System (R-ISS) stages, this study identified distinct MSC subpopulations, including osteogenic, angiogenic, immune regulatory, and multipotent clusters, each of which plays unique roles in the tumor microenvironment. Interestingly, we found a unique subclone with upregulated expression of high mobility group proteins, these MSC exert a strong regulatory effect, which was defined as "HMGhMSC".

conclusionsOur findings reveal that the proportion of osteogenic MSCs, which are crucial for bone health, decreases as the disease progresses, which is correlated with the bone lysis commonly observed in advanced multiple myeloma. Additionally, immune regulatory MSCs contribute to the formation of an immunosuppressive microenvironment, promoting tumor immune evasion. A prognostic model based on HMGhMSC subpopulations was developed, which demonstrated that these cells have significant potential as therapeutic targets for improving the prognosis and developing treatments for bone disease in multiple myeloma patients.

Indexed as

Bone Marrow CellsGene Expression ProfilingGenetic HeterogeneityMesenchymal Stem CellsMultiple MyelomaSingle-Cell AnalysisTranscriptomeGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentHigh mobility group proteinsImmunosuppressive microenvironmentMesenchymal stem cellsMultiple myelomaOsteogenesisPrognostic modelSingle-cell RNA sequencing

Identifiers

PMID40524208
PMCPMC12172380

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