Computationally Guided Photothermal Tumor Therapy Using Long-Circulating Gold Nanorod Antennas

被引:827
作者
von Maltzahn, Geoffrey [3 ]
Park, Ji-Ho [4 ]
Agrawal, Amit [3 ]
Bandaru, Nanda Kishor [5 ]
Das, Sarit K. [5 ]
Sailor, Michael J. [4 ]
Bhatia, Sangeeta N. [1 ,2 ,3 ]
机构
[1] Brigham & Womens Hosp, MIT, Boston, MA 02115 USA
[2] Brigham & Womens Hosp, Howard Hughes Med Inst, Boston, MA 02115 USA
[3] Harvard MIT Div Hlth Sci & Technol, Cambridge, MA USA
[4] Univ Calif San Diego, Dept Chem & Biochem, Mat Sci & Engn Program, La Jolla, CA 92093 USA
[5] Indian Inst Technol, Dept Mech Engn, Madras 600036, Tamil Nadu, India
基金
美国国家科学基金会;
关键词
RAY COMPUTED-TOMOGRAPHY; CONTRAST AGENT; COLLOIDAL GOLD; QUANTUM DOTS; NANOPARTICLES; MICE; SCATTERING; NANOSHELLS; ABSORPTION; CELLS;
D O I
10.1158/0008-5472.CAN-08-4242
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Plasmonic nanomaterials have the opportunity to considerably improve the specificity of cancer ablation by i.v. homing to tumors and acting as antennas for accepting externally applied energy. Here, we describe an integrated approach to improved plasmonic therapy composed of multimodal nanomaterial optimization and computational irradiation protocol development. We synthesized polyethylene glycol (PEG)protected gold nanorods (NR) that exhibit superior spectral bandwidth, photothermal heat generation per gram of gold, and circulation half-life in vivo (t(1/2), similar to 17 hours) compared with the prototypical tunable plasmonic particles, gold nanoshells, as well as similar to 2-fold higher X-ray absorption than a clinical iodine contrast agent. After intratumoral or i.v. administration, we fuse PEG-NR biodistribution data derived via noninvasive X-ray computed tomography or ex vivo spectrometry, respectively, with four-dimensional computational heat transport modeling to predict photothermal heating during irradiation. In computationally driven pilot therapeutic studies, we show that a single i.v. injection of PEG-NRs enabled destruction of all irradiated human xenograft tumors in mice. These studies highlight the potential of integrating computational therapy design with nanotherapeutic development for ultraselective tumor ablation. [Cancer Res 2009;69(9):3892-900]
引用
收藏
页码:3892 / 3900
页数:9
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