| Literature DB >> 36012171 |
Paulina Borzdziłowska1, Ilona Bednarek1.
Abstract
The diversity of exosomes and their role in the microenvironment make them an important point of interest in the development of cancer. In our study, we evaluated the effect of exosomes derived from ovarian cancer cells on gene expression in fibroblasts, including genes involved in metastasis. We also attempted to evaluate the indirect effect of cisplatin and/or α-mangostin on metastasis. In this aspect, we verified the changes induced by the drugs we tested on vesicular transfer associated with the release of exosomes by cells. We isolated exosomes from ovarian cancer cells treated and untreated with drugs, and then normal human fibroblasts were treated with the isolated exosomes. Changes in the expression of genes involved in the metastasis process were then examined. In our study, we observed altered expression of genes involved in various steps of the metastasis process (including genes related to cell adhesion, genes related to the interaction with the extracellular matrix, the cell cycle, cell growth and proliferation, and apoptosis). We have shown that α-mangostin and/or cisplatin, as chemotherapeutic agents, not only directly affect tumor cells but may also indirectly (via exosomes) contribute to delaying metastasis development.Entities:
Keywords: cisplatin; exosomes; metastasis; ovarian cancer; tumor microenvironment; α-mangostin
Mesh:
Substances:
Year: 2022 PMID: 36012171 PMCID: PMC9408324 DOI: 10.3390/ijms23168913
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
List of genes analyzed using Human Tumor Metastasis PCR Array (Qiagen, Hilden, Germany). Genes which showed a statistically significant significance in the results obtained were marked in red.
| Cell Adhesion Molecules | |
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| Extracellular Matrix (ECM) Protease Inhibitors | |
| Other Extracellular Matrix (ECM) Molecules | COL4A2, HPSE, SERPINE1 (PAI-1) |
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| Regulation of the Cell Cycle | |
| Cell Cycle Arrest & Checkpoints | CDKN2A (P16INK4A), MYC, RB1, |
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| Negative Regulation of Cell | CDKN2A (P16INK4A), CTBP1, GNRH1, IL1B, |
| Positive Regulation of Cell Proliferation | IGF1, |
| Growth Factors and Hormones | GNRH1, HGF, IGF1, TGFB1, |
| Cytokines | |
| Cell Surface Receptors | CXCR2, CXCR4, EPHB2, FGFR4, FLT4 (VEGFR2), KISS1R, MET, NR4A3 (NOR1), PLAUR (UPAR), RORB, SSTR2, TSHR |
| Other Cell Growth Genes | DENR, EWSR1, |
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| CXCR4, HTATIP2, |
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| CHD4, ETV4, EWSR1, HTATIP2, MTA1, MYC, MYCL, NR4A3 (NOR1), RB1, RORB, SMAD2 (MADH2), SMAD4 (MADH4), TCF20, |
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| CD82, CST7, CTSK, CTSL, KISS1, METAP2, NME4 |
Figure 1Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α-mangostin and/or cisplatin-treated) on the expression of cell adhesion markers in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Figure 2Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α-mangostin and/or cisplatin-treated) on the expression of extracellular matrix markers in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Figure 3Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α-mangostin and/or cisplatin-treated) on the expression of cell cycle markers in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Figure 4Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α- mangostin and/or cisplatin-treated) on the expression of cell growth and proliferation markers in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Figure 5Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α- mangostin and/or cisplatin-treated) on the expression of receptors CXCR4 and their ligand CXCXL12 and SET and HRAS gene in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Figure 6Effect of exosomes derived from SKOV-3 and TOV-21G cells (untreated with drugs, α-mangostin and/or cisplatin-treated) on the expression of apoptosis markers in fibroblasts. The data are shown as mean ± SD of triplicate experiments, statistically significant results * (p < 0.05).
Percentage change in gene expression level in fibroblasts under the influence of exosomes of various origins.
| Gene/Cell Line | SKOV-3 C | SKOV-3 MA | SKOV-3 CIS | SKOV-3 MA/CIS | TOV-21G C | TOV-21G MA | TOV-21G CIS | TOV-21G MA/CIS |
|---|---|---|---|---|---|---|---|---|
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| 30.10% |
| 32.91% |
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| 49.87% | 47.59% | 17.36% |
| 61.98% |
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| 53.80% | 27.68% | 15.72% | 1.15% |
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| 1.98% |
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| 81.09% |
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| 47.46% |
| 48.61% |
| 82.02% |
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| 51.47% | 40.25% | 43.06% |
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| 19.27% | 29.60% | 15.35% | 29.09% |
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| 14.47% |
| 52.19% |
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| 8.41% |
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| 4.31% |
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| 41.05% | 46.42% | 17.24% | 61.11% | 36.23% | 38.84% | 60.42% |
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| 33.00% |
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| 55.51% |
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| 68.80% |
| 34.13% |
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| 28.53% |
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| 28.78% |
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| 31.19% |
| 23.93% |
| 30.30% | 22.70% |
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NHDF cells not treated with exosomes were taken at the level of 100%. The red color shows the genes that showed a statistically significant increase in expression (p < 0.05). The red arrow shows the genes that showed a statistically insignificant increase in expression. The green color shows the genes that showed a statistically significant decrease in expression (p < 0.05). The green arrow shows the genes that showed a statistically insignificant decrease in expression.
α-Mangostin and/or cisplatin concentrations used to treat SKOV-3 and TOV-21G cells.
| Cell line/Compound | α-Mangostin * | Cisplatin * | α-Mangostin |
|---|---|---|---|
| SKOV-3 | 12.5 µM | 55.53 µM | 12.5 µM + 25 µM |
| TOV-21G | 29.98 µM | 38.78 µM | 6.25 µM + 50 µM |
* IC25 [µM] value for α-mangostin and cisplatin after treatment of SKOV-3 and TOV-21G cells for 24 h (analysis based on XTT test) ** drug combination concentration: α-mangostin and cisplatin after treatment of SKOV-3 and TOV-21G cells for 24 h (based on XTT test and analysis in CompuSyn software, ComboSyn, Inc., New York, NY, USA).