ArticleFrontiers in immunology2024
From single-cell to spatial transcriptomics: decoding the glioma stem cell niche and its clinical implications.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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.
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.
Who cites it
18 citing papers in PubMed.
- Translational insights and clinical challenges of targeting cancer stem cells.Signal transduction and targeted therapy · 2026Review
- Identification and Experimental Validation of Key Genes Related to Neuroendocrine in Periodontitis Based on Single-Cell and Bulk Transcriptome Data.Journal of cellular and molecular medicine · 2026Article
- Glycosylation-related gene risk model and functional validation of OSTC and TUBA1C in lung adenocarcinoma.Respiratory research · 2026Article
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Identification of immunogenic cell death-related prognostic genes in gastric cancer.Journal of gastrointestinal oncology · 2026Article
- Identification and verification of diagnostic biomarkers related to endoplasmic reticulum stress for atherosclerosis.BMC cardiovascular disorders · 2026Article
- Review
- Decoding myeloid heterogeneity in glioblastoma: spatial insights from transcriptomics.Journal of translational medicine · 2026Review
- Unraveling the significance of decorin in endometriosis development through single cell sequencing and experimental approaches.PloS one · 2026Article
- Dysregulated fibroblast-immune crosstalk drives statin-associated erectile dysfunction: integrative evidence from pharmacovigilance and single-cell transcriptomics.Frontiers in pharmacology · 2026Article
- Identification of Key Genes Associated with Endoplasmic Reticulum Stress in Calcium Oxalate Kidney Stones.Genes · 2025Article
- Precision Neuro-Oncology in Glioblastoma: AI-Guided CRISPR Editing and Real-Time Multi-Omics for Genomic Brain Surgery.International journal of molecular sciences · 2025Review
- Article
- Multi-Transcriptomic Analysis Reveals GSC-Driven MES-Like Differentiation via EMT in GBM Cell-Cell Communication.Biomedicines · 2025Article
- Unveiling the Role of Protein Posttranslational Modifications in Glioma Prognosis.CNS neuroscience & therapeutics · 2025Article
- Cancer stem cells and tumor-associated macrophages as mates in tumor progression: mechanisms of crosstalk and advanced bioinformatic tools to dissect their phenotypes and interaction.Frontiers in immunology · 2025Review
- Crosstalk between cancer stem cells and myeloid-derived suppressor cells: implications for tumor progression and immunotherapy.Frontiers in immunology · 2025Review
- Targeting Retinaldehyde Dehydrogenases to Enhance Temozolomide Therapy in Glioblastoma.International journal of molecular sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Gliomas are aggressive brain tumors associated with a poor prognosis. Cancer stem cells (CSCs) play a significant role in tumor recurrence and resistance to therapy. This study aimed to identify and characterize glioma stem cells (GSCs), analyze their interactions with various cell types, and develop a prognostic signature. Methods: Single-cell RNA sequencing data from 44 primary glioma samples were analyzed to identify GSC populations. Spatial transcriptomics and gene regulatory network analyses were performed to investigate GSC localization and transcription factor activity. CellChat analysis was conducted to infer cell-cell communication patterns. A GSC signature (GSCS) was developed using machine learning algorithms applied to bulk RNA sequencing data from multiple cohorts. Results: A distinct GSC population was identified, characterized by high proliferative potential and an enrichment of E2F1, E2F2, E2F7, and BRCA1 regulons. GSCs exhibited spatial proximity to myeloid-derived suppressor cells (MDSCs). CellChat analysis revealed an active MIF signaling pathway between GSCs and MDSCs. A 26-gene GSCS demonstrated superior performance compared to existing prognostic models. Knockdown of TUBA1C significantly inhibited glioma cell migration, and invasion Conclusion: This study offers a comprehensive characterization of GSCs and their interactions with MDSCs, while presenting a robust GSCS. The findings offer new insights into glioma biology and identify potential therapeutic targets, particularly TUBA1C, aimed at improving patient outcomes.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.