Differential Expression of SRY-Related HMG-Box Transcription Factor 2, Oligodendrocyte Lineage Transcription Factor 2, and Zinc Finger E-Box Binding Homeobox 1 in Serum-Derived Extracellular Vesicles: Implications for Mithramycin Sensitivity and Targeted Therapy in High-Grade Glioma.
Sreekanth PatnamBiswanath MajumderParth JoshiAnula Divyash SinghBalakrishna NagallaDilli KumarManjusha BiswasAlok RanjanPradip K MajumderAravind Kumar RenganAjith V KamathAmitava RaySasidhar Venkata MandaPublished in: ACS pharmacology & translational science (2023)
Glioblastoma multiforme (GBM) is the most aggressive type of glioma and is often resistant to traditional therapies. Evidence suggests that glioma stem cells (GSCs) contribute to this resistance. Mithramycin (Mit-A) targets GSCs and exhibits antitumor activity in GBM by affecting transcriptional targets such as SRY-related HMG-box transcription factor 2 (SOX2), oligodendrocyte lineage transcription factor 2 (OLIG2), and zinc finger E-box binding homeobox 1 (ZEB1). However, its clinical use has been limited by toxicity. This study explored the diagnostic potential of serum extracellular vesicles (EVs) to identify Mit-A responders. Serum EVs were isolated from 70 glioma patients, and targeted gene expression was analyzed using qRT-PCR. Using chemosensitivity assay, we identified 8 Mit-A responders and 17 nonresponders among 25 glioma patients. The M-score showed a significant correlation ( p = 0.045) with isocitrate dehydrogenase 1 mutation but not other clinical variables. The genes SOX2 ( p = 0.005), OLIG2 ( p = 0.003), and ZEB1 ( p = 0.0281) were found to be upregulated in the responder EVs. SOX2 had the highest diagnostic potential (AUC = 0.875), followed by OLIG2 (AUC = 0.772) and ZEB1 (AUC = 0.632).The combined gene panel showed significant diagnostic efficacy (AUC = 0.956) through logistic regression analysis. The gene panel was further validated in the serum EVs of 45 glioma patients. These findings highlight the potential of Mit-A as a targeted therapy for high-grade glioma based on differential gene expression in serum EVs. The gene panel could serve as a diagnostic tool to predict Mit-A sensitivity, offering a promising approach for personalized treatment strategies and emphasizing the role of GSCs in therapeutic resistance.
Keyphrases
- transcription factor
- gene expression
- genome wide identification
- stem cells
- end stage renal disease
- dna binding
- high grade
- newly diagnosed
- ejection fraction
- chronic kidney disease
- epithelial mesenchymal transition
- oxidative stress
- high throughput
- copy number
- risk assessment
- drug delivery
- patient reported
- mesenchymal stem cells