Evidence map›Paper›PMID 42529293›Full record

ArticleFrontiers in immunology2026

Single-cell profiling uncovers extracellular vesicle-associated malignant plasma cell subpopulations driving multiple myeloma progression.

Lu Fan, Han Zhao, Mengya Cong, Mengxiao Zhang, Tuerxunayi Rouzi, Beibei Xie, Jifei Dai, Weiying Bao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lu Fan *Department of Hematology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Han Zhao *Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengya Cong *Department of Hematology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengxiao ZhangDepartment of Hematology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tuerxunayi RouziDepartment of Hematology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Beibei XieDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Jifei DaiDepartment of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Weiying BaoDepartment of Hematology, Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple myeloma (MM) is a heterogeneous hematological malignancy characterized by the clonal proliferation of plasma cells in the bone marrow, with distinct subtypes including smoldering MM (SMM), newly diagnosed MM (NDMM), and relapsed/refractory MM (RRMM). Despite therapeutic advances, outcomes remain unsatisfactory, especially for RRMM, due to unclear heterogeneity, progression mechanisms, and crosstalk between tumor cells and the bone marrow microenvironment (BMME) via direct interactions or extracellular vesicles (EVs). Methods: Single-cell RNA sequencing (scRNA-seq) was performed on bone marrow samples from 12 MM patients, and major cell types were identified. Plasma cells were subjected to re-clustering to explore subpopulation heterogeneity. Functional enrichment analysis of differentially expressed genes (DEGs) was conducted. Cellular stemness was evaluated by CytoTRACE, and developmental trajectories were inferred via Monocle and Slingshot. Cell-cell communication was analyzed by CellChat, while transcription factor (TF) regulatory networks were identified through SCENIC analysis. Metabolic pathway activity was also assessed. Finally, loss-of-function experiments (siRNA-mediated ASS1 knockdown) were conducted to validate its functional role. Results: The analysis identified 7 major cell types. Plasma cells were further stratified into 6 subpopulations (C0- Conclusion: Our study delineates MM heterogeneity, developmental dynamics, and regulatory networks at the single-cell level.

Indexed as

Extracellular VesiclesMultiple MyelomaPlasma CellsCell CommunicationDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisTumor MicroenvironmentASS1extracellular vesiclesICAMMIFmultiple myelomaplasma cell subpopulationscRNA-seqtumor microenvironment

Identifiers

PMID42529293
PMCPMC13416668

What Socratic holds

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Registered trials

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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 Socratic graph.