Image-Guided Drug Delivery in CancerThe central focus of our laboratory is image-guided drug delivery, combining nanovehicles, imaging techniques and methods to enhance delivery. A great challenge in cancer therapy is to deliver efficacious doses of drug to diseased tissue with minimal systemic toxicity. Another challenge is in the development of high-quality imaging protocols for identification of cancerous lesions as well as visualization of drug circulation and accumulation. We approach these problems through image-guided therapy strategies that include multiple imaging modalities (PET, CT, Ultrasound), delivery vehicle designs, targeting approaches, and release mechanisms. By encapsulating cancer therapeutics in particles designed to be stable in circulation and targetable to diseased tissue, we are able to minimize systemic toxicity and maximize drug efficacy in cancer treatment. Ultrasound has proven to be an invaluable tool in our efforts. We have shown that in addition to using ultrasound for obtaining high target-to-background images of delivery vehicles within cancerous lesions, we can use insonation to increase drug release in these localized regions. By merging these technologies, we will develop a translational imaging and therapy capability that will allow us to visualize small metastatic lesions, map tumors and their margins, and combine this imaging with ultrasound-enhanced drug release. Translational Cardiovascular NanomedicineThe Ferrara laboratory is one of several groups collaborating on the National Heart, Lung, and Blood Institute’s (NHLBI) Programs for Nanotechnology Research. This research is aimed at creating nanotechnology solutions for cardiovascular disease. Our lab is involved in efforts to develop nanoparticle-based tools to image and deliver therapeutics to atherosclerotic plaque and to enhance stem cell repair of damaged heart tissue. We are creating VCAM-1 targeted liposomes and peptide complexes and testing binding and internalization of these vehicles in static conditions and under shear stress, as well as assessing intracellular peptide trafficking as a function of cell-penetrating motif. In addition, UCDavis laboratories will combine efforts with the Jo laboratory at Emory to optimize siRNA therapies for atherosclerosis using peptide-targeted nano-vehicles and optimizing their delivery. (back to top) Ultrasonic Assessment of Therapeutic ResponseThe ability to quantitatively assess therapeutic response is a critical element of cancer treatment and research. Our lab is working on the development of repeatable, operator-independent methods for quantitative evaluation of therapeutic response using ultrasound. We have embedded methods for real-time quantitative parametric ultrasound imaging of vascular volume/density and flow rate in a clinical scanner. Our goal is to obtain real-time, on-scanner measurements of these parameters, and to use the feedback in conjunction with histology to evaluate treatment effects and to optimize treatment with a cocktail of appropriate drugs. We are also working on enhancing therapeutic efficacy by using ultrasound to increase vascular permeability and delivery vehicle accumulation. Our initial studies have shown that insonation with a low thermal dose increases accumulation by three-fold in tumors and by up to ten-fold in muscle or lymph nodes compared to tissue not receiving ultrasound. Our project involves a determination of the biological mechanism for enhanced permeability.(back to top) Real-time Prediction and Validation of Ultrasonic Hyperthermia ProfilesUltrasound imaging can spatially map small temperature changes resulting from hyperthermia. In our laboratory we release drugs from vehicles using mild hyperthermia. We are developing methods for real-time measurement of temperature using ultrasound and applying these methods in image-guided drug delivery. Further, in order to predict and plan treatments we have developed graphics processing unit (GPU) code to rapidly map the applied ultrasound pressure field. (back to top) Molecular Imaging in Cancer
|