Dual-tracer receptor concentration imaging using tracers with different tissue delivery kinetics

Simultaneous dynamic fluorescent imaging of a suitable untargeted tracer in conjunction with any molecular targeted fluorescent agent has been shown to be a powerful approach for quantifying cancer-specific cell surface receptors in vivo in the presence of non-specific uptake and tracer delivery variability. The identification of a “suitable” untargeted tracer (i.e., one having equivalent plasma and tissue delivery pharmacokinetics to the targeted tracer) for every targeted tracer, however, may not always be feasible or could require extensive testing. This work presents a “deconvolution” approach capable of correcting for plasma and tissue-delivery pharmacokinetic differences between tracers by quantifying dynamic differences in targeted and untargeted tracer uptake in a receptor-free tissue (one devoid of targeted molecular species) and correcting uptake in all other tissues accordingly. This deconvolution correction approach is evaluated in theoretical models and explored in an in vivo mouse xenograft model of human glioma. In the animal experiments, epidermal growth factor receptor (EGFR: a receptor known to be overexpressed in the investigated glioma cell line) was targeted using a fluorescent tracer with very different plasma pharmacokinetics than a second untargeted fluorescent tracer. Without correcting for these differences, the dual-tracer approach yielded substantially higher estimations of EGFR concentration in all tissues than expected; however, deconvolution correction was able to produce estimates that matched ex vivo validation.

[1]  S. Kety The theory and applications of the exchange of inert gas at the lungs and tissues. , 1951, Pharmacological reviews.

[2]  A. Lammertsma,et al.  Simplified Reference Tissue Model for PET Receptor Studies , 1996, NeuroImage.

[3]  D J Brooks,et al.  Comparison of Methods for Analysis of Clinical [11C]Raclopride Studies , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[4]  Jason R. Gunn,et al.  In Vivo Quantification of Tumor Receptor Binding Potential with Dual-Reporter Molecular Imaging , 2012, Molecular Imaging and Biology.

[5]  Christopher H Contag,et al.  Quantifying cell-surface biomarker expression in thick tissues with ratiometric three-dimensional microscopy. , 2009, Biophysical journal.

[6]  Walter H Backes,et al.  Dynamic contrast-enhanced MR imaging kinetic parameters and molecular weight of dendritic contrast agents in tumor angiogenesis in mice. , 2005, Radiology.

[7]  H. Maeda,et al.  Tumor vascular permeability and the EPR effect in macromolecular therapeutics: a review. , 2000, Journal of controlled release : official journal of the Controlled Release Society.

[8]  R. Nicholson,et al.  EGFR and cancer prognosis. , 2001, European journal of cancer.

[9]  Tayyaba Hasan,et al.  Imaging targeted-agent binding in vivo with two probes. , 2010, Journal of biomedical optics.

[10]  R. P. Maguire,et al.  Consensus Nomenclature for in vivo Imaging of Reversibly Binding Radioligands , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[11]  Brian W. Pogue,et al.  High Vascular Delivery of EGF, but Low Receptor Binding Rate Is Observed in AsPC-1 Tumors as Compared to Normal Pancreas , 2011, Molecular Imaging and Biology.

[12]  Peter Choyke,et al.  Current Advances in Molecular Imaging: Noninvasive in Vivo Bioluminescent and Fluorescent Optical Imaging in Cancer Research , 2003, Molecular imaging.

[13]  Kristian J. Sexton,et al.  Direct Characterization of Arterial Input Functions by Fluorescence Imaging of Exposed Carotid Artery to Facilitate Kinetic Analysis , 2014, Molecular Imaging and Biology.

[14]  Rakesh K. Jain,et al.  Vascular and interstitial barriers to delivery of therapeutic agents in tumors , 1990, Cancer and Metastasis Reviews.

[15]  N. Volkow,et al.  Distribution Volume Ratios without Blood Sampling from Graphical Analysis of PET Data , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[16]  T. Hasan,et al.  Advantages of a dual-tracer model over reference tissue models for binding potential measurement in tumors , 2012, Physics in medicine and biology.

[17]  Mamadou Diop,et al.  Deconvolution method for recovering the photon time-of-flight distribution from time-resolved measurements. , 2012, Optics letters.

[18]  Christopher H Contag,et al.  Microscopic Delineation of Medulloblastoma Margins in a Transgenic Mouse Model Using a Topically Applied VEGFR-1 Probe. , 2012, Translational oncology.

[19]  R K Jain,et al.  Physiological barriers to delivery of monoclonal antibodies and other macromolecules in tumors. , 1990, Cancer research.