Evidence map›Paper›PMID 41235227›Full record

ArticleFrontiers in immunology2025

Single-cell/spatial integration reveals an MES2-like glioblastoma program orchestrated by immune communication and regulatory networks.

Chonghui Zhang, Lu Tan, Kaijian Zheng, Yifan Xu, Junshan Wan, Jinpeng Wu, Chao Wang, Pin Guo, Yugong Feng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

9 authors.

Chonghui Zhang *Department of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Lu Tan *Institute of Neuroscience & Jiangsu Key Laboratory of Neuropsychiatric Diseases, Soochow University, Suzhou, Jiangsu, China.
Kaijian ZhengQingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Yifan XuDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Junshan WanDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jinpeng WuDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chao WangDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Pin GuoDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yugong FengDepartment of Neurosurgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma (GBM) exhibits marked plasticity and intense microenvironmental crosstalk. We aimed to delineate mesenchymal programs with spatial resolution, clinical relevance, and mechanistic anchors. Methods: We integrated single-cell RNA-seq, bulk transcriptomes, and Visium spatial data. After rigorous QC and Harmony integration, we annotated 12 cell states using canonical markers, decoupler-based ORA, and AUCell. Tumor boundaries were defined by inferCNV/CopyKAT; developmental potential by CytoTRACE2 and PHATE. Post-translational modification (PTM) axes were scored from curated gene sets. A cell type-aware GNN linked bulk expression to a patient-similarity graph for survival modeling and gene-level hazard attribution. Network convergence combined bulk WGCNA (TCGA/CGGA), single-cell hdWGCNA, BayesPrism deconvolution, and external GEO validation. Ligand-receptor (LR) signaling was inferred with LIANA+, embedded in a signed causal network, and mapped spatially. ARRDC3 expression was assessed in GBM tissues; U251 gain- and loss-of-function assays evaluated proliferation and migration. Results: We resolved major GBM states, including two mesenchymal programs (MES1-like, MES2-like). CNV-high regions marked malignant cores, and CytoTRACE2 identified high-potency niches within MES2-like and Proliferation states along non-linear trajectories. PTM landscapes segregated by state; S-nitrosylation, glycosylation, and lactylation were enriched in mesenchymal programs. A GNN risk score stratified overall survival in TCGA (n=157) and generalized to CGGA-325 (n=85) and CGGA-693 (n=140). MES2-like abundance remained an independent adverse predictor (HR = 2.31; 95% CI, 1.04-5.10). MES2-high tumors upregulated EMT, TNFα/NF-κB, JAK/STAT, hypoxia, angiogenesis, and glycolysis; S-nitrosylation associated with increased hazard. Cross-modal convergence defined a conservative MES2 core enriched for ECM remodeling, collagen modification, focal adhesion, and TGF-β regulation. LR analysis prioritized a TAM-to-MES2 axis (e.g., GRN-TNFRSF1A, ADAM9/10/17-ITGB1, TGFB1-ITGB1/EGFR) converging on a CEBPD-centered module. Spatial mapping localized MES2 hotspots within CNV-defined territories and revealed a TNFRSF1A-CEBPD-ARRDC3 focus at an infiltrative rim. ARRDC3 was upregulated in GBM tissues; in U251 cells, knockdown promoted and overexpression suppressed proliferation and migration, indicating context-dependent roles. Conclusions: MES2-like GBM is an ECM-driven, stress-adapted state with strong prognostic impact. We nominate CEBPD and TNFRSF1A/ITGB1 as actionable nodes and identify ARRDC3 as a spatially restricted effector with context-dependent tumor-modulatory functions warranting therapeutic exploration.

Indexed as

Brain NeoplasmsGene Regulatory NetworksGlioblastomaCell CommunicationCell Line, TumorEpithelial-Mesenchymal TransitionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansSingle-Cell AnalysisTranscriptomeTumor Microenvironmentarrestin domain containing 3cell type-aware graph neural networkMES2-like glioblastomaspatial transcriptome analysisTAM-MG-MES2 communication

Identifiers

PMID41235227
PMCPMC12604987

What OpenQuestion 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 OpenQuestion graph.