Project Overview: Cancer therapeutics targeted against the Epidermal Growth Factor Receptor (EGFR) have demonstrated great potential in lung cancer;however, these agents are effective in only a subset of patients. Furthermore, tumors tliat are initially responsive frequently acquire resistance over time. Though it is straightforward to measure molecular (DNA, RNA, protein) and biophysical (mass, density, charge) characteristics of tumors in bulk, recent studies have shown wide cell-tocell variability and the importance of characterizing that variability in estimating patient outcome^^^. We hypothesize that molecular and biophysical characterizations of circulating cells can discriminate cells that are responsive to therapy from those that are resistant. When analyzing cells collected from the circulation, or from other bodily fluids (e.g., pleural effusions, ascites), typically only a small number of cells are available. To asses the cell-to-cell heterogeneity of this limited number of cells, ive propose to develop and to apply quantitative, comprehensive single-cell analysis devices for assessing the DNA genome (e.g., single nucleotide polymorphisms, fusions, deletions), RNA expression, protein abundance (cell surface, intracellular, and secretome abundance), and biophysical properties of single cells for the dual purposes of predicting a patient's likely response to EGFR-targeted therapies and for monitoring a patient's acquisition of resistance to EGFR-targeted therapies (Fig. N3.3.1). We propose two specific aims for the development, testing, and application of our comprehensive analysis platform (Table N3.3.1).

National Institute of Health (NIH)
National Cancer Institute (NCI)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZCA1-GRB-S)
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Stanford University
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Park, Seung-Min; Lee, Jae Young; Hong, Soongweon et al. (2016) Dual transcript and protein quantification in a massive single cell array. Lab Chip 16:3682-8
Lee, Jung-Rok; Sato, Noriyuki; Bechstein, Daniel J B et al. (2016) Experimental and theoretical investigation of the precise transduction mechanism in giant magnetoresistive biosensors. Sci Rep 6:18692
SoRelle, Elliott D; Liba, Orly; Campbell, Jos L et al. (2016) A hyperspectral method to assay the microphysiological fates of nanomaterials in histological samples. Elife 5:
Sun, Ziyan; Cheng, Kai; Wu, Fengyu et al. (2016) Robust surface coating for a fast, facile fluorine-18 labeling of iron oxide nanoparticles for PET/MR dual-modality imaging. Nanoscale 8:19644-19653
Zhang, Ruiping; Cheng, Kai; Antaris, Alexander L et al. (2016) Hybrid anisotropic nanostructures for dual-modal cancer imaging and image-guided chemo-thermo therapies. Biomaterials 103:265-77
Koh, Ai Leen; Gidcumb, Emily; Zhou, Otto et al. (2016) Oxidation of Carbon Nanotubes in an Ionizing Environment. Nano Lett 16:856-63
Van de Sompel, Dominique; Sasportas, Laura S; Jokerst, Jesse V et al. (2016) Comparison of Deconvolution Filters for Photoacoustic Tomography. PLoS One 11:e0152597
Lee, Jung-Rok; Bechstein, Daniel J B; Ooi, Chin Chun et al. (2016) Magneto-nanosensor platform for probing low-affinity protein-protein interactions and identification of a low-affinity PD-L1/PD-L2 interaction. Nat Commun 7:12220
Lee, Jung-Rok; Haddon, D James; Wand, Hannah E et al. (2016) Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus. Sci Rep 6:27623
Liba, Orly; SoRelle, Elliott D; Sen, Debasish et al. (2016) Contrast-enhanced optical coherence tomography with picomolar sensitivity for functional in vivo imaging. Sci Rep 6:23337

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