(2020) Optimal scheduling of the nanoparticle-mediated cancer photo-thermo-radiotherapy. Photodiagnosis and Photodynamic Therapy. ISSN 1572-1000
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Abstract
Maximal synergistic effect between photothermal therapy and radiotherapy (RT) may be achieved when the interval between these two modalities is optimal. In this study, we tried to determine the optimal schedule of the combined regime of RT and nano-photothermal therapy (NPTT), based on the cell cycle distribution and kinetics of cell death. To this end, alginate-coated iron oxide-gold core-shell nanoparticles (Fe3O4@Au/Alg NPs) were synthesized, characterized, and their photo-radio sensitization potency was evaluated on human nasopharyngeal cancer KB cells. Our results demonstrated that synthesized NPs have a good potential in radiotherapy and nearinfrared (NIR) photothermal therapy. However, results from flow cytometry analysis indicated that a major portion of KB cells were accumulated in the most radiosensitive phases of cell cycle (G2/M) 24 h after NPTT. Moreover, the maximal synergistic anticancer efficacy (12.3 cell viability) was observed when RT was applied 24 h following the administration of NPTT (NPs 30 mu g/mL, 4 h incubation time + Laser 808 nm, 1 W/cm(2), 5 min + RT 6 Gy). It is noteworthy that apoptosis was the dominant cell death pathway in the group of cells treated by combination of NPTT and RT. This highly synergistic anticancer efficacy provides a mechanistic basis for Fe3O4@Au/Alg NPs-mediated photothermal therapy combined with RT. Knowing such a basis is helpful to promote novel nanotechnology cancer treatment strategies.
Item Type: | Article |
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Keywords: | Nanoparticles Photothermal therapy Radiation therapy Optimal scheduling Synergistic effect CELL-CYCLE ARREST APOPTOSIS RADIATION |
Subjects: | WN Radiology. Diagnostic Imaging > WN 250-250.6 Radiotherapy |
Divisions: | Faculty of Medicine > Department of Basic Science > Department of Medical Physics |
Journal or Publication Title: | Photodiagnosis and Photodynamic Therapy |
Journal Index: | ISI |
Volume: | 32 |
Identification Number: | https://doi.org/10.1016/j.pdpdt.2020.102061 |
ISSN: | 1572-1000 |
Depositing User: | Zahra Otroj |
URI: | http://eprints.mui.ac.ir/id/eprint/13572 |
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