Nanoparticle-neural stem cells for targeted ovarian cancer treatment: optimization of silica nanoparticles for efficient drug loading

Z. Patel; J. Berlin; W. Abidi

doi:10.1117/12.2316599

23 February 2018 Nanoparticle-neural stem cells for targeted ovarian cancer treatment: optimization of silica nanoparticles for efficient drug loading

Z. Patel, J. Berlin, W. Abidi

Author Affiliations +

Proceedings Volume 10507, Colloidal Nanoparticles for Biomedical Applications XIII; 105071B (2018) https://doi.org/10.1117/12.2316599
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

One of the drugs used to treat ovarian cancer is cisplatin. However, cisplatin kills normal surrounding tissue in addition to cancer cells. To improve tumor targeting efficiency, our lab uses neural stem cells (NSCs), which migrate directly to ovarian tumors. If free cisplatin is loaded into NSCs for targeted drug delivery, it will kill the NSCs. To prevent the drug cisplatin from killing both the NSCs and normal surrounding tissue, our lab synthesizes silica nanoparticles (SiNPs) that act as a protective carrier. The big picture here is to maximize efficiency of tumor targeting using NSCs and minimize toxicity to these NSCs using SiNPs. The goal of this project is to optimize the stability of SiNPs, which is important for efficient drug loading.

To do this, the concentration of tetraethyl orthosilicate (TEOS), one of the main components of SiNPs, was varied. We hypothesized that more TEOS equates to more stable SiNPs because TEOS contributes carbon to SiNPs, and thus a tightly-packed chemical structure results in a stable particle. Then, the stability of the SiNPs were checked in cell media and phosphate buffered saline (PBS). Lastly, the SiNPs were analyzed for their porosity using the transmission electron microscope (TEM).

TEM imaging showed white spots in the 200-800 μL TEOS batches and no white spots in the 1000-1800 μL TEOS batches. The white spots were pores, which indicate instability.

We concluded that the ultimate factor that determines the stability of SiNPs (100 nm) is the concentration of organic substance.

Citation Download Citation

Z. Patel, J. Berlin, and W. Abidi "Nanoparticle-neural stem cells for targeted ovarian cancer treatment: optimization of silica nanoparticles for efficient drug loading", Proc. SPIE 10507, Colloidal Nanoparticles for Biomedical Applications XIII, 105071B (23 February 2018); https://doi.org/10.1117/12.2316599

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KEYWORDS

Nanoparticles

Particles

Silica

Stem cells

Transmission electron microscopy

Ovarian cancer

Tumors

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