dc.contributor.author | Stylianopoulos, Triantafyllos | en |
dc.contributor.author | Economides, Eva Athena | en |
dc.contributor.author | Baish, J. W. | en |
dc.contributor.author | Fukumura, D. | en |
dc.contributor.author | Jain, R. K. | en |
dc.creator | Stylianopoulos, Triantafyllos | en |
dc.creator | Economides, Eva Athena | en |
dc.creator | Baish, J. W. | en |
dc.creator | Fukumura, D. | en |
dc.creator | Jain, R. K. | en |
dc.date.accessioned | 2019-12-02T10:38:25Z | |
dc.date.available | 2019-12-02T10:38:25Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57663 | |
dc.description.abstract | Conventional drug delivery systems for solid tumors are composed of a nano-carrier that releases its therapeutic load. These two-stage nanoparticles utilize the enhanced permeability and retention (EPR) effect to enable preferential delivery to tumor tissue. However, the size-dependency of the EPR, the limited penetration of nanoparticles into the tumor as well as the rapid binding of the particles or the released cytotoxic agents to cancer cells and stromal components inhibit the uniform distribution of the drug and the efficacy of the treatment. Here, we employ mathematical modeling to study the effect of particle size, drug release rate and binding affinity on the distribution and efficacy of nanoparticles to derive optimal design rules. Furthermore, we introduce a new multi-stage delivery system. The system consists of a 20-nm primary nanoparticle, which releases 5-nm secondary particles, which in turn release the chemotherapeutic drug. We found that tuning the drug release kinetics and binding affinities leads to improved delivery of the drug. Our results also indicate that multi-stage nanoparticles are superior over two-stage nano-carriers provided they have a faster drug release rate and for high binding affinity drugs. Furthermore, our results suggest that smaller nanoparticles achieve better treatment outcome. © 2015, Biomedical Engineering Society. | en |
dc.source | Annals of Biomedical Engineering | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938286510&doi=10.1007%2fs10439-015-1276-9&partnerID=40&md5=d8c357b76020dbd07b681efaef12d969 | |
dc.subject | Mathematical models | en |
dc.subject | mathematical model | en |
dc.subject | antineoplastic agent | en |
dc.subject | Antineoplastic Agents | en |
dc.subject | cancer chemotherapy | en |
dc.subject | human | en |
dc.subject | Neoplasms | en |
dc.subject | Humans | en |
dc.subject | paclitaxel | en |
dc.subject | priority journal | en |
dc.subject | solid tumor | en |
dc.subject | biological model | en |
dc.subject | Article | en |
dc.subject | binding affinity | en |
dc.subject | chemistry | en |
dc.subject | drug delivery system | en |
dc.subject | Uniform distribution | en |
dc.subject | Drug delivery | en |
dc.subject | Models, Biological | en |
dc.subject | Tumors | en |
dc.subject | Diseases | en |
dc.subject | Mathematical modeling | en |
dc.subject | Tumor microenvironment | en |
dc.subject | nanoparticle | en |
dc.subject | Particle size | en |
dc.subject | Nanoparticles | en |
dc.subject | drug design | en |
dc.subject | drug release | en |
dc.subject | nanocarrier | en |
dc.subject | Drug Carriers | en |
dc.subject | Binding energy | en |
dc.subject | Chemotherapeutic drugs | en |
dc.subject | drug carrier | en |
dc.subject | Drug products | en |
dc.subject | Drug release kinetics | en |
dc.subject | Enhanced permeability and retention effects | en |
dc.subject | Nano-carriers | en |
dc.subject | Optimal systems | en |
dc.subject | Primary nanoparticles | en |
dc.subject | process optimization | en |
dc.subject | Secondary particles | en |
dc.title | Towards Optimal Design of Cancer Nanomedicines: Multi-stage Nanoparticles for the Treatment of Solid Tumors | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/s10439-015-1276-9 | |
dc.description.volume | 43 | |
dc.description.issue | 9 | |
dc.description.startingpage | 2291 | |
dc.description.endingpage | 2300 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :25</p> | en |
dc.source.abbreviation | Ann.Biomed.Eng. | en |
dc.contributor.orcid | Stylianopoulos, Triantafyllos [0000-0002-3093-1696] | |
dc.gnosis.orcid | 0000-0002-3093-1696 | |