Assessment of silver nanoparticles' antitumor effects: Insights into cell number, viability, and morphology of glioblastoma and prostate cancer cells.
Isabel Cristina Gomes SantosMichelle Lopes de OliveiraRenata Carvalho SilvaCelso Sant'AnnaPublished in: Toxicology in vitro : an international journal published in association with BIBRA (2024)
Silver nanoparticles (AgNPs) hold promise for cancer therapy. This study aimed to evaluate their impact on tumor and non-tumor cell number, viability, and morphology. Antitumor activity was tested on U-87MG (glioblastoma) and DU-145 (prostate cancer) cell lines. Treatment with AgNPs notably reached a reduction of U-87MG and DU-145 cell growth by 89.30% and 79.74%, respectively, resulting in slower growth rates. AgNPs induced DNA damage, evidenced by reduced nuclear area and DNA content via fluorescent image-based analyses. Conversely, HFF-1 non-tumor cells displayed no significant changes post-AgNPs exposure. Viability assays revealed substantial reductions in U-87MG and DU-145 cells (79% and 63% in MTT assays, 30% and 52.2% in high-content analyses), while HFF-1 cells exhibited lower sensitivity. Tumor cells had notably lower IC 50 values than non-tumor cells, indicating selective susceptibility. Transmission electron microscopy (TEM) showed morphological changes post-AgNPs administration, including increased vacuoles, myelin figures, membrane ghosts, cellular extravasation, and membrane projections. The findings suggest the potential of AgNPs against glioblastoma and prostate cancer, necessitating further exploration across other cancer cell lines.
Keyphrases
- silver nanoparticles
- prostate cancer
- induced apoptosis
- single cell
- dna damage
- cancer therapy
- cell cycle arrest
- radical prostatectomy
- electron microscopy
- high throughput
- oxidative stress
- cell therapy
- endoplasmic reticulum stress
- drug delivery
- papillary thyroid
- cell death
- mesenchymal stem cells
- multiple sclerosis
- squamous cell carcinoma
- quantum dots
- bone marrow
- diabetic rats
- machine learning
- pi k akt
- dna repair
- living cells
- climate change
- combination therapy
- replacement therapy
- endothelial cells