The goal of clinical and translational cancer research is to rapidly convert novel advances In bench research to improvements in patient care and to relay findings from clinical studies employing such new and increasingly customized diagnostics and therapeutics back to the bench for further refinement of our understanding of tumorigenesis. To realize this aim, the physician-scientist must be able to Integrate diverse and complex datasets that include clinical information obtained from the patient or participant with the results of routine laboratory tests, imaging, biospecimens, molecular profiling (e.g. microarray analysis, proteomics, and lipidomics), and genome annotation information. These data must be co-analyzed and visualized to gain a comprehensive understanding of the disease process. Furthermore, access to ali of this information and findings from analyses must be seamlessly available to physicians, clinician-scientists, and bench scientists both within and across organizations to reduce the barrier between basic science and clinical research. Given these requirements, the field of biomedical informatics the application of computer science and information technology to the problems of data management In healthcare and biomedical research is a critical and necessary component of effective translational research. To address this need within the SCC and WU, the Bioinformatics Core (now renamed to the Biomedical Informatics Core) was created in 2002. As reflected in the name change, over time, the Core's services have grown to address not only bloinformatics/computational challenges associated with managing, storing, and analyzing high dimensional data sets (e.g. microarray, proteomic, and NextGen sequencing data sets) but also to support syntactic and semantic needs required to represent, store, and share clinical studies/trials and biospecimen data sets. These latter activities and services have been catalyzed by our participation and leadership in the caBlG Initiative as well as the coalescence of informatics at WU into the Center for Biomedical Informatics through the consolidation of personnel, hardware, and software of many different P30-based cores and the CTSA Biomedical Informatics Program.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA091842-11
Application #
8380316
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
11
Fiscal Year
2012
Total Cost
$214,669
Indirect Cost
$55,503
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Olfson, Emily; Bloom, Joseph; Bertelsen, Sarah et al. (2018) CYP2A6 metabolism in the development of smoking behaviors in young adults. Addict Biol 23:437-447
Betleja, Ewelina; Nanjundappa, Rashmi; Cheng, Tao et al. (2018) A novel Cep120-dependent mechanism inhibits centriole maturation in quiescent cells. Elife 7:
Chen, Li-Shiun; Horton, Amy; Bierut, Laura (2018) Pathways to precision medicine in smoking cessation treatments. Neurosci Lett 669:83-92
Celik, Hamza; Koh, Won Kyun; Kramer, Ashley C et al. (2018) JARID2 Functions as a Tumor Suppressor in Myeloid Neoplasms by Repressing Self-Renewal in Hematopoietic Progenitor Cells. Cancer Cell 34:741-756.e8
Kabir, Ashraf Ul; Lee, Tae-Jin; Pan, Hua et al. (2018) Requisite endothelial reactivation and effective siRNA nanoparticle targeting of Etv2/Er71 in tumor angiogenesis. JCI Insight 3:
Hirbe, Angela C; Jennings, Jack; Saad, Nael et al. (2018) A Phase II Study of Tumor Ablation in Patients with Metastatic Sarcoma Stable on Chemotherapy. Oncologist 23:760-e76
Jenkins, Wiley D; Gilbert, David; Chen, Li-Shiun et al. (2018) Finding paths with the greatest chance of success: enabling and focusing lung cancer screening and cessation in resource-constrained areas. Transl Lung Cancer Res 7:S261-S264
Cherian, Mathew A; Olson, Sydney; Sundaramoorthi, Hemalatha et al. (2018) An activating mutation of interferon regulatory factor 4 (IRF4) in adult T-cell leukemia. J Biol Chem 293:6844-6858
Smith, Lee; Ae Lee, Jung; Mun, Junbae et al. (2018) Levels and patterns of self-reported and objectively-measured free-living physical activity among prostate cancer survivors: A prospective cohort study. Cancer :
Burclaff, Joseph; Mills, Jason C (2018) Plasticity of differentiated cells in wound repair and tumorigenesis, part II: skin and intestine. Dis Model Mech 11:

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