ArticleCancer cell international2025
Unraveling anoikis in glioblastoma: insights from single-cell sequencing and prognostic modeling.
Article in Cancer cell international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Enhancing glioma immunotherapy by disrupting RBP-J-mediated NNMT signaling in tumor microenvironment.Oncogene · 2026Article
- CTSZ-dependent anoikis resistance enhances malignant characters of glioblastoma via NF-κB signaling.iScience · 2026Article
- Glioblastoma stem cells as carriers of tumour memory: a strategy for personalised immunotherapy using tumour-infiltrating lymphocytes.Frontiers in immunology · 2026Review
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Authors and funding
9 authors.
Funding
Abstract
backgroundDespite advances, Glioblastoma (GBM) treatment remains challenging due to its rapid progression and resistance to therapies.
objectivesThis study aimed to investigate the role of anoikis-a mechanism by which cells evade programmed cell death upon detachment from the extracellular matrix-in GBM progression and prognosis.
methodsUtilizing single-cell sequencing and bulk-transcriptome sequencing data from TCGA, GEO, and CGGA databases, we performed comprehensive bioinformatics analyses. We identified anoikis-related genes, constructed a prognostic model using 101 machine learning algorithms, and validated its clinical utility across multiple cohorts.Finally, we also verified the expression of model genes and the function of key gene in clinical samples and cell lines.
resultsSingle-cell sequencing revealed heterogeneous expression of anoikis-related genes across distinct cell populations within GBM. MES-like Malignant cells and Myeloids exhibited higher enrichment of these genes, implicating their role in anoikis resistance and tumor aggressiveness. The prognostic model, based on identified genes, effectively stratified patients into high-risk and low-risk groups, demonstrating significant differences in survival outcomes. Mutation and tumor microenvironment analyses highlighted distinct genetic landscapes and immune cell infiltration patterns associated with different risk groups. SLC43A3 emerged as a key gene, showing significant upregulation in tumor tissues and correlating with poor prognosis in GBM.
conclusionThis study provides insights into the molecular mechanisms of anoikis resistance in GBM, underscoring its critical role in tumor progression and patient prognosis. The developed prognostic model offers a promising tool for personalized treatment strategies and warrants further exploration of targeted therapies to improve outcomes for GBM patients.
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