Abstract
Nanotechnology when engineered together with biotechnology opens a fascinating field with applications in diverse areas such as drug targeting and delivery, medical imaging, biosensing, biomaterials and nanotechnology. Conjugating nanoparticles with biomolecules like QD-herceptin conjugates or QD-aptamer (Apt)-DOX conjugates provides many opportunities for improving many of the current challenges in cancer diagnosis and therapy. This paper reviews combinatorial nanoparticles designed and formulated for cancer imaging and therapy, including inorganic nanoparticles (quantum dots, iron oxide particles, gold nanoparticles and silica and carbon nanoparticles), polymeric nanoparticles (PLGA, PLGA-PEG, PAMAM), liposomes and lipid nanoparticles. These nanoparticles are multifunctional in nature and combine two or more functions like targeting, imaging and therapy. In this review, we have classified these combinatorial targeted nanoparticles into inorganic, polymeric and liposome based nanosystems.
Keywords: Nanotechnology, cancer therapy, imaging, inorganic nanoparticles, polymeric nanoparticles, liposomes
Current Medicinal Chemistry
Title:Combinatorial Nanoparticles for Cancer Diagnosis and Therapy
Volume: 19 Issue: 22
Author(s): A. Mukerjee, A. P. Ranjan and J. K. Vishwanatha
Affiliation:
Keywords: Nanotechnology, cancer therapy, imaging, inorganic nanoparticles, polymeric nanoparticles, liposomes
Abstract: Nanotechnology when engineered together with biotechnology opens a fascinating field with applications in diverse areas such as drug targeting and delivery, medical imaging, biosensing, biomaterials and nanotechnology. Conjugating nanoparticles with biomolecules like QD-herceptin conjugates or QD-aptamer (Apt)-DOX conjugates provides many opportunities for improving many of the current challenges in cancer diagnosis and therapy. This paper reviews combinatorial nanoparticles designed and formulated for cancer imaging and therapy, including inorganic nanoparticles (quantum dots, iron oxide particles, gold nanoparticles and silica and carbon nanoparticles), polymeric nanoparticles (PLGA, PLGA-PEG, PAMAM), liposomes and lipid nanoparticles. These nanoparticles are multifunctional in nature and combine two or more functions like targeting, imaging and therapy. In this review, we have classified these combinatorial targeted nanoparticles into inorganic, polymeric and liposome based nanosystems.
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Cite this article as:
Mukerjee A., P. Ranjan A. and K. Vishwanatha J., Combinatorial Nanoparticles for Cancer Diagnosis and Therapy, Current Medicinal Chemistry 2012; 19(22) . https://dx.doi.org/10.2174/092986712801661176
DOI https://dx.doi.org/10.2174/092986712801661176 |
Print ISSN 0929-8673 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-533X |

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