- 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

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA062203-23
Application #
9851368
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2020-02-01
Budget End
2021-01-31
Support Year
23
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Irvine
Department
Type
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92617
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:
Sierra, Robert A; Hoverter, Nathan P; Ramirez, Ricardo N et al. (2018) TCF7L1 suppresses primitive streak gene expression to support human embryonic stem cell pluripotency. Development 145:
Maciejewski, Sonia; Ullmer, Wendy; Semler, Bert L (2018) VPg unlinkase/TDP2 in cardiovirus infected cells: Re-localization and proteolytic cleavage. Virology 516:139-146
Konstorum, Anna; Lowengrub, John S (2018) Activation of the HGF/c-Met axis in the tumor microenvironment: A multispecies model. J Theor Biol 439:86-99
Yan, Huaming; Konstorum, Anna; Lowengrub, John S (2018) Three-Dimensional Spatiotemporal Modeling of Colon Cancer Organoids Reveals that Multimodal Control of Stem Cell Self-Renewal is a Critical Determinant of Size and Shape in Early Stages of Tumor Growth. Bull Math Biol 80:1404-1433
Wang, Xiaolin; Zhao, Da; Phan, Duc T T et al. (2018) A hydrostatic pressure-driven passive micropump enhanced with siphon-based autofill function. Lab Chip 18:2167-2177
Flather, Dylan; Nguyen, Joseph H C; Semler, Bert L et al. (2018) Exploitation of nuclear functions by human rhinovirus, a cytoplasmic RNA virus. PLoS Pathog 14:e1007277

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