Combined anticancer effects of simvastatin and arsenic trioxide on prostate cancer cell lines via downregulation of the VEGF and OPN isoforms genes.
Akram MirzaeiSina RashediMohammad Reza AkbariFatemeh KhatamiSeyed Mohammad Kazem AghamirPublished in: Journal of cellular and molecular medicine (2022)
Arsenic trioxide (ATO) and statins have been demonstrated to have anti-neoplastic properties; however, the data regarding their combination therapy is limited. Thus, we aimed to study the effects of ATO, Simvastatin and their combination in proliferation, apoptosis and pathological angiogenesis in prostate cancer cell lines. The human prostate cell lines were treated with different concentrations of Simvastatin and ATO alone and combined to find effective doses and IC50 values. In addition, the percentage of apoptotic cells was evaluated by annexin/PI staining, and mRNA expression levels of the apoptotic gene, including OPN isoforms and VEGF, were investigated using real-time PCR. Our data displayed that Simvastatin (12 and 8 μM in PC3 and LNCaP cell lines respectively), ATO (8 and 5 μM in PC3 and LNCaP cell lines respectively), and also their combination (12 μM Simvastatin and 8 μM ATO in PC3, 8 μM Simvastatin and 5 μM ATO in LNCaP cell lines respectively) significantly increased the percentage of apoptotic cells. Also, we showed that the combination therapy by Simvastatin and ATO increased cell apoptosis and inhibited cell proliferation, providing anti-proliferative and anti-angiogenic properties, possibly via downregulation of the expression of VEGF and OPN genes. These results provide new perceptions regarding the anticancer roles of ATO and statins' combination therapy in prostate cancer.
Keyphrases
- combination therapy
- prostate cancer
- endothelial cells
- cell proliferation
- cell cycle arrest
- cell death
- vascular endothelial growth factor
- radical prostatectomy
- induced apoptosis
- signaling pathway
- genome wide
- cardiovascular disease
- pi k akt
- endoplasmic reticulum stress
- healthcare
- drinking water
- real time pcr
- cell cycle
- primary care
- oxidative stress
- electronic health record
- type diabetes
- big data
- risk assessment
- gene expression
- dna methylation
- high resolution
- genome wide analysis
- data analysis
- newly diagnosed