Abstract

One of the models that best explains the cellular heterogeneity observed in central nervous system (CNS) tumors is the presence of cancer stem cells (CSCs). CSCs can originate from differentiated adult cells that return to an undifferentiated stage through the mechanism known as epithelial-mesenchymal transition (EMT). In this paper, we evaluated cellular and molecular heterogeneity and the participation of the epithelial-mesenchymal transition (EMT) in glioblastoma (U-87 MG and LN-18) and neuroblastoma (KELLY and IMR-32) cell lines cultured in monolayer (2D) and neurosphere (CSC enrichment– 3D) models. For this, after treatment with cisplatin, we studied different cell subpopulations by immunophenotyping using neural stem cell/progenitor markers (ALDH, CD24, CD56, and CD133), mesenchymal stem cell markers (CD73, CD90, CD105, and CD146) and hematopoietic markers (CD14, CD19, CD34, CD45, and HLA-DR) and mRNA expression profiles of genes related to EMT, such as ZEB1, TWIST1, TGFB1, STAT3, and lncRNA HOTAIR. In addition, we evaluated the growth capacity of residual cells when treated with cisplatin using the chorioallantoic membrane (CAM) model to study disease relapse. After treatment with cisplatin, we found that the expression of STAT3 and TGFB1 genes markedly increased in the neurosphere of the IMR-32 cell line, and TWIST1 was upregulated in the neurosphere of LN-18. Only the nontreated monolayer of LN-18, KELLY, and IMR-32 amplified the lncRNA HOTAIR. The IMR-32 cell line exhibited an enrichment of CD24+/ALDH+ and this cell subset decreased after cisplatin treatment. We observed the loss of CD146+/CD73+ cell subpopulations in U-87 MG monolayer and neurosphere models, after cisplatin treatment, while in LN-18 monolayer cisplatin-treated cells, CD73+/CD90+ cell subpopulations increased. Neuroblastoma cell lines showed CD14+/HLA-DR− cell subpopulations representative of myeloid-derived suppressor cells (MDSCs). Tumors generated from residual cells, after exposure to cisplatin, grafted on CAM showed patterns of organization different from those of the controls. Thus, our findings strongly supported the idea that definitions of tumor phenotypic characteristics may help to establish better therapeutic strategies for the development of new drug targets.

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