Changes Induced by P2X7 Receptor Stimulation of Human Glioblastoma Stem Cells in the Proteome of Extracellular Vesicles Isolated from Their Secretome.
Fabrizio Di GiuseppeLucia Ricci-VitianiRoberto PalliniRoberta Di PietroPatrizia Di IorioGiuliano AscaniRenata CiccarelliStefania AngelucciPublished in: Cells (2024)
Extracellular vesicles (EVs) are secreted from many tumors, including glioblastoma multiforme (GBM), the most common and lethal brain tumor in adults, which shows high resistance to current therapies and poor patient prognosis. Given the high relevance of the information provided by cancer cell secretome, we performed a proteomic analysis of microvesicles (MVs) and exosomes (EXOs) released from GBM-derived stem cells (GSCs). The latter, obtained from the brain of GBM patients, expressed P2X7 receptors (P2X7Rs), which positively correlate with GBM growth and invasiveness. P2X7R stimulation of GSCs caused significant changes in the EV content, mostly ex novo inducing or upregulating the expression of proteins related to cytoskeleton reorganization, cell motility/spreading, energy supply, protection against oxidative stress, chromatin remodeling, and transcriptional regulation. Most of the induced/upregulated proteins have already been identified as GBM diagnostic/prognostic factors, while others have only been reported in peripheral tumors. Our findings indicate that P2X7R stimulation enhances the transport and, therefore, possible intercellular exchange of GBM aggressiveness-increasing proteins by GSC-derived EVs. Thus, P2X7Rs could be considered a new druggable target of human GBM, although these data need to be confirmed in larger experimental sets.
Keyphrases
- stem cells
- prognostic factors
- endothelial cells
- oxidative stress
- end stage renal disease
- cell therapy
- diabetic rats
- dna damage
- high glucose
- chronic kidney disease
- poor prognosis
- mesenchymal stem cells
- newly diagnosed
- white matter
- healthcare
- single cell
- electronic health record
- resting state
- social media
- induced apoptosis
- machine learning
- ischemia reperfusion injury
- drug induced
- long non coding rna
- pseudomonas aeruginosa
- signaling pathway
- endoplasmic reticulum stress