| Literature DB >> 30962872 |
Jalal Abdolali Zade1, Reza Rahbarghazi1,2, Mehdi Talebi1, Ayda Pouyafar3, Milad Zadi Heydarabad3.
Abstract
Cancer stem cells obtain energy demand through the activation of glycolysis and lipolysis. It seems that the use of approached targeting glycolysis and lipolysis could be an effective strategy for the inhibition of cancer stem cells. In the current experiment, we studied the potential effect of glycolysis and lipolysis inhibition on cancer stem cells differentiation and mesenchymal-epithelial-transition capacity. Cancer stem cells were enriched from human ovarian cells namely SKOV3 by using MACS technique. Cells were exposed to Lonidamine, an inhibitor of glycolysis, and TOFA, a potent inhibitor of lipolysis for 7 days in endothelial differentiation medium; EGM-2 and cell viability was studied by MTT assay. At the respective time point, the transcription level of genes participating in EMT such as Zeb-1, -2, Vimentin, Snail-1, -2 and VE-cadherin were measured by real-time PCR analysis. Our data noted that the inhibition of lipolysis and glycolysis could decrease cell viability compared to the control of cancer stem cells. The inhibition of glycolysis prohibited the expression of Zeb-1, Snails, and Vimentin while increased endothelial differentiation rate indicated by the expression of VE-cadherin. In contrast, the inhibition of lipolysis increased EMT associated genes and reduced endothelial differentiation rate by suppressing the transcription of VE-cadherin. Notably, the simultaneous inhibition of glycolysis and lipolysis had moderate effects on the transcription of EMT genes. We concluded that the modulation of the metabolic pathway of glycolysis in ovarian CSCs is more effective than the inhibition of lipolysis in the control of angiogenesis potential and stemness feature.Entities:
Keywords: EMT; Glycolysis; Lipolysis; Ovarian cancer stem cells
Year: 2019 PMID: 30962872 PMCID: PMC6437852 DOI: 10.1186/s13578-019-0293-z
Source DB: PubMed Journal: Cell Biosci ISSN: 2045-3701 Impact factor: 7.133
Fig. 1Characterization of isolated CSCs by immunofluorescence and flow cytometry analyses. Data confirmed the existence of CD133 indicated by positive color cells by immunofluorescence imaging (a). Flow cytometry showed that more than 96% of cells were positive for CD133 (b). Data are expressed as mean ± SD. Blue = DAPI; Green = FITC-conjugated CD133
Fig. 2CSCs survival assay. MTT assay revealed the detrimental effects of TOFA and Lonidamine in a dose and time-dependent manner. The combination of TOFA with Lonidamine showed synergistic cytotoxicity on CSCs in a dose and time-dependent manner (n = 3). Data are shown as mean ± SD
Primer sequences used for real-time PCR
| Gene | Sequences (5′-3′) | Annealing Temp (oC) | Amplicon length (bp) |
|---|---|---|---|
| Vimentin | F: CAGATTGGCTGAAATGGATGAGAA | 62 | 173 |
| ZEB1 | F: CTGGAGAAAAGCCCTATCAATGT | 62 | 244 |
| Snail | F: GAGTTTAAATTCCAGCTGCC | 62 | 109 |
| VE-cadherin | F: TGAAGAATTACGAGTCGGAC | 65 | 129 |
| 18S RNA | F: TCGGCTGGAGAAGAGCTACG | 57 | 131 |
Fig. 3The real-time PCR analysis of EMT-associated genes in CSCs from HT-29 cells. Data are expressed as mean ± SD. One-way ANOVA and Tukey (post hoc) analysis (n = 3). *p < 0.05; **p < 0.01; ***p < 0.001