- Onco-Imaging and Biotechnology (OIB) The broad goal of the OIB Program is to develop and assess quantitative systems and technologies that improve detection, clinical management, and quality of life for cancer patients. OIB is strongly interdisciplinary, integrating basic scientists with technologists and clinicians and is focused around 3 key themes. Critically, each of the themes includes basic science, technology development, and translational research activities spanning from animal models to human subjects in various types of cancers, including breast, skin, GI, oral cavity, prostate, and brain. We also apply emerging technologies in multi-center and cooperative group clinical trials in order to standardize and validate methods and endpoints for improved cancer detection and clinical management. The three themes are: 1) Cancer imaging and treatment using Biophotonics and Biomedical Optics technologies, including a broad range of non-linear optical microscopies, Laser Microbeams, Optical Coherence Tomography, Acousto-Optic Imaging and Elastography, Laser Speckle Imaging, Spatial Frequency Domain Imaging, and Diffuse Optical Spectroscopy and Imaging; 2) Cancer imaging and treatment using MRI, Nuclear, X-Ray/CT, multi-Modality technologies; and 3) Cancer detection and therapy using molecular, cellular, and material technologies, from nano- and microfluidic platforms and integrated ?lab-on-a-chip? and ?body-on- a-chip? systems, to advanced cellular and molecular diagnostics for improved cancer detection and therapy. Importantly, the new technologies and methods for engineering cellular systems we are developing are optimized such that their integration into multi-system platforms allows visualization using many of the technologies developed in themes 1 and 2. OIB leadership works to leverage these technologies to improve cancer detection, clinical management and patient quality of life through three Specific Aims: 1) Develop novel tools for cancer detection and treatment; 2) Foster multi-disciplinary collaborations to validate these tools in preclinical cancer models; and, 3) Validate novel technologies in multi-center and cooperative group clinical trials. Membership: 28 Members from 15 Departments Funding: $3,516,292 NCI (Totals); $5,218,874 Other Peer-Reviewed (Totals) Publications: 347 Publications, 11% Inter-programmatic; 22% Intra-programmatic

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee I - Transistion to Independence (NCI)
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University of California Irvine
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Mahlbacher, Grace; Curtis, Louis T; Lowengrub, John et al. (2018) Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment. J Immunother Cancer 6:10
Neek, Medea; Tucker, Jo Anne; Kim, Tae Il et al. (2018) Co-delivery of human cancer-testis antigens with adjuvant in protein nanoparticles induces higher cell-mediated immune responses. Biomaterials 156:194-203
McLelland, Bryce T; Lin, Bin; Mathur, Anuradha et al. (2018) Transplanted hESC-Derived Retina Organoid Sheets Differentiate, Integrate, and Improve Visual Function in Retinal Degenerate Rats. Invest Ophthalmol Vis Sci 59:2586-2603
Bota, Daniela A; Chung, Jinah; Dandekar, Manisha et al. (2018) Phase II study of ERC1671 plus bevacizumab versus bevacizumab plus placebo in recurrent glioblastoma: interim results and correlations with CD4+ T-lymphocyte counts. CNS Oncol 7:CNS22
Han, Han; Qi, Ruxi; Zhou, Jeff Jiajing et al. (2018) Regulation of the Hippo Pathway by Phosphatidic Acid-Mediated Lipid-Protein Interaction. Mol Cell 72:328-340.e8
Solares, Edwin A; Chakraborty, Mahul; Miller, Danny E et al. (2018) Rapid Low-Cost Assembly of the Drosophila melanogaster Reference Genome Using Low-Coverage, Long-Read Sequencing. G3 (Bethesda) 8:3143-3154
Wang, Yajun; Ngor, Arlene K; Nikoomanzar, Ali et al. (2018) Evolution of a General RNA-Cleaving FANA Enzyme. Nat Commun 9:5067
Qiu, Xiaolong; Lombardo, Jeremy A; Westerhof, Trisha M et al. (2018) Microfluidic filter device with nylon mesh membranes efficiently dissociates cell aggregates and digested tissue into single cells. Lab Chip 18:2776-2786
Patterson, Kurt; Yu, James; Landberg, Jenny et al. (2018) Functional genomics for the oleaginous yeast Yarrowia lipolytica. Metab Eng 48:184-196
Lee, J Scott; Roberts, Andrew; Juarez, Dennis et al. (2018) Statins enhance efficacy of venetoclax in blood cancers. Sci Transl Med 10:

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