ArticleActa neuropathologica communications2022
Stem cell phenotype predicts therapeutic response in glioblastomas with MGMT promoter methylation.
Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Patient-derived tissue cultures complement neurospheres for preclinical evaluation of AAV-mediated gene delivery in glioblastoma.Journal of neuro-oncology · 2026Article
- Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Understanding Glioblastoma Dynamics Using 3D Organoids and Engineered Extracellular Matrix.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Monitoring glioblastoma extracellular vesicle evolution using a nanodiagnostic platform to detect glioma stem cells driving recurrent disease.Science advances · 2026Article
- Stem cell therapies and glioma stem cells in glioblastoma: a systematic review of current challenges and research directions.International journal of emergency medicine · 2025Review
- Epicatechin attenuates the stemness of liver cancer stem cells and tumorigenesis through DNA methylation-mediated inactivation of GINS1/HRAS.Journal of translational medicine · 2025Article
- Death-ision: the link between cellular resilience and cancer resistance to treatments.Molecular cancer · 2025Review
- HIG-2 promotes glioma stemness and radioresistance mediated by IGFBP2-rich microparticles in hypoxia.Apoptosis : an international journal on programmed cell death · 2025Article
- Co-expression prognostic-related genes signature base on propofol and sevoflurane anesthesia predict prognosis and immunotherapy response in glioblastoma.Annals of medicine · 2023Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
A growing body of evidence supports the presence of a population of cells in glioblastoma (GBM) with a stem cell-like phenotype which shares certain biological markers with adult neural stem cells, including expression of SOX2, CD133 (PROM1), and NES (nestin). This study was designed to determine the relationship between the expression of these stem cell markers and the clinical outcome in GBM patients. We quantified the intensity of expression of the proteins CD133 and SOX2 by immunohistochemistry (IHC) in a cohort of 86 patients with IDH-wildtype GBM, and evaluated patient outcomes using Kaplan-Meier and Cox proportional hazards analysis. In our patients, MGMT promoter methylation status and age were predictors of overall survival and progression free survival. The levels of SOX2 and CD133 were not associated with outcome in univariate analysis; however, stratification of tumors based on low or high levels of CD133 or SOX2 expression revealed that MGMT methylation was a predictor of progression-free survival and overall survival only for tumors with high levels of expression of CD133 or SOX2. Tumors with low levels of expression of CD133 or SOX2 did not show any relationship between MGMT methylation and survival. This relationship between MGMT and stem cell markers was confirmed in a second patient cohort, the TCGA dataset. Our results show that stratification of GBM by the level of expression of CD133 and SOX2 improved the prognostic power of MGMT promoter methylation status, identifying a low-expressing group in which the clinical outcome is not associated with MGMT promoter methylation status, and a high-expressing group in which the outcome was strongly associated with MGMT promoter methylation status. These findings support the concept that the presence of a high stem cell phenotype in GBM, as marked by expression of SOX2 or CD133, may be associated with the clinical response to treatment.
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