Gold nanoparticle mediated combined cancer therapy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Celina Yang, Kyle Bromma, Caterina Di Ciano-Oliveira, Gaetano Zafarana, Monique van Prooijen, Devika B. Chithrani

ABSTRACT

The combined use of radiation therapy and chemotherapy is commonly being used in cancer treatment. The side effects of the treatment can be further minimized through targeted delivery of anticancer drugs and local enhancement of the radiation dose. Gold nanoparticles (GNPs) can play a significant role in this regard since GNPs can be used as radiation dose enhancers and anticancer drug carriers. Anticancer drug, bleomycin, was chosen as the model drug, since it could be easily conjugated onto GNPs through the gold–thiol bond. Gold nanoparticles of size 10 nm were synthesized using the citrate reduction method. The surface of The GNPs was modified with a peptide sequence (CKKKKKKGGRGDMFG) containing the RGD domain and anticancer drug, bleomycin. Human breast cancer cells (MDA-MB-231) were incubated with 0.3 nM concentration of GNP–drug complex for 16 h prior to irradiation with a 2 Gy single fraction of 6 MV X-rays. After the treatment, cells were trypsinized and seeded in 60 mm dishes for clonogenic assay. Damage to DNA was probed using immunofluorescence assay. Cancer cells internalized with the GNP–drug complex had a 32 ± 9% decrease in cell survival and statistically significant enhancement in DNA (deoxyribonucleic acid) damage as compared to control cells (irradiated with no GNPs) after receiving a radiation dose of 2 Gy with 6 MV photons. The experimental results demonstrate that GNP-mediated chemoradiation has the potential to improve cancer care in the near future through enhancement of the local radiation dose and controlled delivery of anticancer drugs. More... »

PAGES

4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12645-018-0039-3

DOI

http://dx.doi.org/10.1186/s12645-018-0039-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103363544


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